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PG Program in Data Science, Machine Learning & Neural Networks in London.

Best Data Science Course In London With Placement Assistance

In Curriculum

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You can become an industry-ready Certified Data Science specialist by immersing yourself in data analysis, visualization, machine learning models, forecasting and predicting models, NLP, Deep Learning, and more with this Job-Assistance Data Science course in London.

1 Mar, 2024

Next Batch
starts on

12 Months

Recommended
20-22 hrs/week

6 Months

Live
Internship

Online

Learning
Format

6000+

Career
Transformed

950+

Hiring
Partners

Course Description

Data Science Course in London

DataTrained offers the Best Data Science Course in London where you get hands-on training on all relevant and in-demand tools, learn 14+ programming tools & languages, techniques, Data Mining, Data Collection, Data Extraction, Data Cleansing, Data Exploration, fundamentals viz., (calculations, data sets, manipulation), statistical concepts (mean, median, mode, standard deviation and skewness) along with real-world scenarios applied for data analysis using graphs/charts. Apart from that, this course also builds programming skills including code solutions, algorithms and flowcharts/pseudocode.., and technologies from the Data Science Course in London with Placement. Also with the most affordable Data Science Course fee structure in London. DataTrained is regarded as the Best Data Science Training Institute in London which offers services from training to placement guarantee. DataTrained imparts the Best Data Science Course in London with placement guarantee. Enroll Now, to start your career with the Data Science Course in London with placement guarantee.

Key Highlights

  • 6 Months Live Internship6 Months Live Internship
  • Data science course in Edinburgh with one-on-one interaction with Industry MentorsOne-on-One interaction with Industry Mentors
  • 100% Placement Assistance100% Placement Assistance
  • 40+ Live Projects and Case Studies40+ Live Projects and Case Studies
  • Career Program ManagerCareer Program Manager
  • 360 Degree Career Guidance360 Degree Career Guidance
  • Unique SpecializationsIdeal for both Working Professionals as well as Fresh Graduates
  • Unique SpecializationsUnique Specializations
  • Instant Query ResolutionInstant Query Resolution

PG Program in Data Science, Machine Learning & Neural Networks

  1. £ 5,500
    • Best online Investment-Banking course
    • Best online Investment-Banking course
    • Best online Investment-Banking course
    • Best online Investment-Banking course
    8500+ learners
Features
  • 300+ hours of learning
  • Practice Test Included
  • Certificate of completion
  • Enhanced Upskilling

12 Months PG Program in Data Science, Machine Learning & Neural Networks

Get eligible for 3 world-class certifications thus adding that extra edge to your resume.

  • Project Completion Certificate from DataTrained Education
  • Course completion certificate from DataTrained Education
  • Internship Certificate from Partner Companies

Languages and Tools covered

  • Excel in Data Science program - online excel course
  • python in Data Science Program - online python course
  • tableau in Data Science program - online tableau course
  • NLP in Data Science - online NLP course
  • SQL in Data science course - online SQL course

What’s the focus of this course?

Choose from 5 Unique specializations, learn 14+ programming tools & languages, Live projects & case studies, 6 months of internships, receive industry mentorship, dedicated career support, & much more with the best data science course in London, UK.

5 Unique Specializations- data science programs near me

5 Unique Specializations

Choose from 5 distinct concentrations based on your academic background and professional goals. Get an Executive Certification in Data Science, Machine Learning, and Neural Networks in London, UK.

Dedicated Career Assistance- data science program institute

Dedicated Career Assistance

Receive 1:1 career counseling sessions from experts & regular mock interviews with hiring managers. Enliven your career with our 950+ hiring partners from various industry domains.

Student Support -  data science online training

Student Support

For Quick Query Resolution, chat support is available from 06 AM to 11 PM IST. Program Managers are available on call or chat, and you can also use a user-friendly ticket system during business hours.

Instructors

Join DataTrained – Certified curriculum and learn every skill from the industry’s best thought leaders.

Dr. Deepika Sharma - Training Head, DataTrained

Dr. Deepika Sharma

Training Head, DataTrained

Dr. Deepika Sharma has been associated with academics /corporate education for more than 14 years. She has a deep passion in the field of Artificial Intelligence, Data Science, and Machine Learning.

Shankargouda Tegginmani - Data Scientist, Accenture

Shankargouda Tegginmani

Data Scientist, Accenture

Shankar is a data Scientist with 14 Years of Experience. His current employment is with Accenture and has experience in telecom, healthcare, finance and banking products.

Andrew Labeodan - Data Scientist, Centrica

Andrew Labeodan

Data Scientist, Centrica

Andrew is a data Scientist with 14 years of experience. His expertise spans healthcare and Energy Utilities, and he's renowned for successfully implementing data analytics in oncology.

Adedolapo Ogunlade - Data Scientist at Kaggle

Adedolapo Ogunlade

Data Scientist at Kaggle

Adedolapo is a seasoned Data Scientist at Kaggle, specializing in Machine Learning, Statistical Analysis, Data Visualization, and Data Science.

Gifty Aiyegbeni - Data Scientist at Bincom Global

Gifty Aiyegbeni

Data Scientist at Bincom Global

Gifty is a dedicated data scientist and analyst passionate, currently working in Bincom Global. She is experienced in python programming, R programming, and SQL queries while offering knowledge in statistical analysis.

Ioannis Petridis - Data Scientist at KLDiscovery

Ioannis Petridis

Data Scientist at KLDiscovery

Ioannis Petridis is Data Scientist with 9+ years of experience, currently working in KLDiscovery. He has a deep passion in apply lean Data Science and Machine Learning solutions to solve business problems and deliver impactful and innovative products.

Data Science Course Syllabus

Best-in-class content by leading faculty and industry leaders in the form of live sessions, pre-recorded videos, projects, case studies, industry webinars, and assignments.

best data science courses online

Detailed Syllabus of Data Science Course

  • 300+ Hours of Content - data science program institute
  • 300+

    Hours of Content

  • 80+ Live Sessions - data science online training
  • 80+

    Live Sessions

  • 15 Tools and Software - best tools for data science
  • 15

    Tools and Software

Comprehensive Curriculum

The curriculum has been designed by faculty from IITs, and Expert Industry Professionals.

300+ Hours of Content - data science program institute
300+

Hours of Content

80+ Live Sessions - data science online training
80+

Live Sessions

15 Tools and Software - best tools for data science
15

Tools and Software

Set the Basics Right

DataTrained's orientation prepares students to use the platform by introducing the Learning Management System, accessing course material, attending live classes and assessments, connecting with mentors and receiving career coach support. A preparatory session covers curriculum explanation and software installation guidance. The Data Science Foundation course covers Excel fundamentals (calculations, data sets, manipulation) and statistical concepts (mean, median, mode, standard deviation and skewness) with real-world scenarios applied for data analysis using graphs/charts. The Programming Foundation course introduces data science and builds programming skills including code solutions, algorithms and flowcharts/pseudocode for further exploration of data science/coding.

The orientation session at DataTrained is tailored to equip students with the necessary information and understanding to effectively utilize our platform for the best possible outcome. During this session, students are provided with a thorough introduction to our modern Learning Management System, called the DataTrained Academy. Students gain an understanding of how they can easily access course material, engage in live classes, complete assessments, and connect with mentors for any questions or queries. Moreover, students learn about the career coach support who is available to them throughout their course journey to provide guidance and support.

In order to ensure that students have a comprehensive understanding of the course and its expectations, a preparatory session is held prior to the commencement of the program. This session is designed to give students an in-depth explanation of the entire curriculum, as well as guidance on how to install any necessary software needed to begin their journey with the course. This preparatory session helps to alleviate any uncertainties or apprehensions that students may have about their upcoming program, and ensures that they are fully prepared for the challenges ahead.

The "Data Science Foundation" course is the next offering in the program, allowing students to gain insight into data science and the responsibilities of a data scientist or analyst. It begins with a thorough overview of Excel fundamentals, such as basic calculations, working with data sets, cleaning and manipulating it for further use. Additionally, learners will be introduced to important statistical concepts like mean, median, mode, standard deviation and skewness. They will also be coached on how to apply these to real-world scenarios in Excel and analyze data accurately. Through the use of graphs and charts, students can then make informed decisions based on their observations from the data analysis.

Upon being given a basic introduction to the expansive field of data science, students build upon their programming skills through the "Programming Foundation for Data Science" course. Its primary purpose is to ensure that students have a thorough understanding of programming fundamentals and how to create a code-based solution for any problem or challenge they may face. Throughout this course, students acquire the ability to craft algorithms by way of flowcharts and pseudocode, which are essential components in any programming journey. This course provides an excellent foundation for those looking to explore the world of data science and coding practices in greater detail.

Foundations

The Foundations bundle comprises 2 courses where you will learn to tackle Statistics and Coding head-on. These 2 courses create a strong base for us to go through the rest of the tour with ease.

This course will introduce you to the world of Python programming language that is widely used in Artificial Intelligence and Machine Learning. We will start with basic ideas before going on to the language's important vocabulary as search phrases, syntax, or sentence building. This course will take you from the basic principles of AI and ML to the crucial ideas with Python, among the most widely used and effective programming languages in the present market. In simple terms, Python is like the English language.

Python Basics

Python is a popular high-level programming language with a simple, easy-to-understand syntax that focuses on readability. This module will guide you through the whole foundations of Python programming, culminating in the execution of your 1st Python program.

Anaconda Installation - Jupyter notebook operation

Using Jupyter Notebook, you will learn how to use Python for Artificial Intelligence and Machine Learning. We can create and share documents with narrative prose, visualizations, mathematics, and live code using this open-source online tool.

Python functions, packages and other modules

For code reusability and software modularity, functions & packages are used. In this module, you will learn how you can comprehend and use Python functions and packages for AI.

NumPy, Pandas, Visualization tools

In this module, you will learn how to use Pandas, Matplotlib, NumPy, and Seaborn to explore data sets. These are the most frequently used Python libraries. You'll also find out how to present tons of your data in simple graphs with Python libraries as Seaborn and Matplotlib.

Working with various data structures in Python, Pandas, Numpy

Understanding Data Structures is among the core components in Data Science. Additionally, data structure assists AI and ML in voice & image processing. In this module, you will learn about data structures such as Data Frames, Tuples, Lists, and arrays, & precisely how to implement them in Python.

In this module, you will learn about the words and ideas that are important to Exploratory Data Analysis and Machine Learning. You will study a specific set of tools required to assess and extract meaningful insights from data, from a simple average to the advanced process of finding statistical evidence to support or even reject wild guesses & hypotheses.

Descriptive Statistics

Descriptive Statistics is the study of data analysis that involves describing and summarising different data sets. It can be any sample of a world's production or the salaries of employees. This module will teach you how to use Python to learn Descriptive Statistics for Machine Learning.

Inferential Statistics

In this module, you will use Python to study the core ideas of using data for estimating and evaluating hypotheses. You will also learn how you can get the insight of a large population or employees of any company which can't be achieved manually.

Probability & Conditional Probability

Probability is a quantitative tool for examining unpredictability, as the possibility of an event occurring in a random occurrence. The probability of an event occurring because of the occurrence of several other occurrences is recognized as conditional probability. You will learn Probability and Conditional Probability in Python for Machine Learning in this module.

Hypothesis Testing

With this module, you will learn how to use Python for Hypothesis Testing in Machine Learning. In Applied Statistics, hypothesis testing is among the crucial steps for conducting experiments based on the observed data.

Machine Learning

Machine Learning is a part of artificial intelligence that allows software programs to boost their prediction accuracy without simply being expressly designed to do so. You will learn all the Machine Learning methods from fundamental to advanced, and the most frequently used Classical ML algorithms that fall into all of the categories.

With this module, you will learn supervised machine learning algorithms, the way they operate, and what applications they can be used for - Classification and Regression.

Linear Regression - Simple, Multiple regression

Linear Regression is one of the most popular Machine Learning algorithms for predictive studies, leading to the very best benefits. It is an algorithm that assumes the dependent and independent variables have a linear connection.

Logistic regression

Logistic Regression is one of the most popular machine learning algorithms. It is a fundamental classification technique that uses independent variables to predict binary data like 0 or 1, positive or negative , true or false, etc. In this module, you will learn all of the Logistic Regression concepts that are used in Machine Learning.

K-NN classification

k-Nearest Neighbours (Knn) is another widely used Classification algorithm, it is a basic machine learning algorithm for addressing regression and classification problems. With this module, you will learn how to use this algorithm. You will also understand the reason why it is known as the Lazy algorithm. Interesting Right?

Support vector machines

Support Vector Machine (SVM) is another important machine learning technique for regression and classification problems. In this module, you will learn how to apply the algorithm into practice and understand several ways of classifying the data.

We explore beyond the limits of supervised standalone models in this Machine Learning online course and then discover a number of ways to address them, for example Ensemble approaches.

Decision Trees

The Decision Tree algorithm is an important part of the supervised learning algorithms family. The decision tree approach can be used to resolve regression and classification problems unlike others. By learning simple decision rules inferred from previous data, the goal of using a Decision Tree is constructing a training type that will be used to predict the class or value of the target varying.

Random Forests

Random Forest is a common supervised learning technique. It consists of multiple decision trees on the different subsets of the initial dataset. The average is then calculated to enhance the dataset's prediction accuracy.

Bagging and Boosting

When the aim is to decrease the variance of a decision tree classifier, bagging is implemented. The average of all predictions from several trees is used, that is a lot more dependable than a single decision tree classifier.

Boosting is a technique for generating a set of predictions. Learners are taught gradually in this technique, with early learners fitting basic models to the data and consequently analyzing the data for errors.

In this module, you will study what Unsupervised Learning algorithms are, how they operate, and what applications they can be used for - Clustering and Dimensionality Reduction, and so on.

K-means clustering

In Machine Learning or even Data Science, K-means clustering is a common unsupervised learning method for managing clustering problems. In this module, you will learn how the algorithm works and how you can use it.

Hierarchical clustering

Hierarchical Clustering is a machine learning algorithm for creating a bunch hierarchy or tree-like structure. It is used to group a set of unlabeled datasets into a bunch in a hierarchical framework. This module will help you to use this technique.

Principal Component Analysis

PCA is a Dimensional Reduction technique for reducing a model's complexity, like reducing the number of input variables in a predictive model to avoid overfitting. Dimension Reduction PCA is also a well-known ML approach in Python, and this module will cover all that you need to know about this.

DBSCAN

Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is used to identify arbitrary-shaped clusters and clusters with sound. You will learn how this algorithm will help us to identify odd ones out from the group.

Advanced Techniques

EDA - Part1

Exploratory Data Analysis (EDA) is a procedure of analyzing the data using different tools and techniques. You will learn data standardization and represent the data through different graphs to assess and make decisions for several business use cases. You will also learn all the essential encoding techniques.

EDA - Part2

You will also get a opportunity to use null values, dealing with various data and outliers preprocessing techniques to create a machine learning model.

Feature Engineering

Feature Engineering is the process of extracting features from an organization's raw data by using domain expertise. A feature is a property shared by independent units that can be used for prediction or analysis. With this module, you will learn how this works.

Feature Selection

Feature selection is also called attribute selection, variable selection, or variable subset selection. It is the process of selecting a subset of relevant features for use in model development. You can learn many techniques to do the feature selection.

Model building techniques

Here you will learn different model-building techniques using different tools

Model Tuning techniques

In this module, you can learn how to enhance model performance using advanced techniques as GridSearch CV, Randomized Search CV, cross-validation strategies, etc.

Building Pipeline

What is Modeling Pipeline and how does it work? Well, it is a set of data preparation steps, modeling functions, and prediction transform routines organized in a logical order. It allows you to specify, evaluate, and use a series of measures as an atomic unit.

Time Series Analysis

Introduction

A time series is a set of data points that appear in a specific order over a specific time. A time series in investing records the movement of selected data points, like the cost of security, with a set period of time, with data points collected at regular intervals.

Time Series Components

In this module, you will learn about different components that are necessary to analyze and forecast future outcomes.

Stationarity

You will learn what is stationarity and the importance of learning stationarity.

Time Series Models

In this module, you will learn common Time series models as AR, MA, ARIMA, etc.

Model Evaluation

When you build models, you will use different evaluation methods to gauge the product performance or even accuracy. Yes, In this module, you will learn model evaluation methods.

Use Case and Assignment

You will also get a chance to work on assignments and feel at ease while working on the use case scenarios.

Projects

Also, we are providing a few more extra projects for practice, you can assemble and compare your solutions with the ones we provide.

Recommendation Engine

Introduction

In the introduction module, you will learn why recommendation systems are used, their requirement, and their applications.

Understanding the relationship

In this module, you will learn on what basis recommendation engine works and their association rules.

Types of Data in RS

In this module, you will learn all the types of data used in the Recommendation Engine.

Ratings in RS

In this module, you will learn just how the ratings are drawn in the Recommendation Engine.

Similarity and Its Measures

Recommendation systems work on the basis of similarity between the product and the consumers who view it. There are many ways for determining how similar 2 products are. This similarity matrix is used by recommendation systems to recommend the next most comparable product to the customer.

Types of Recommendation Engine

In this module, you will learn different types of Recommendation Engines.

Evaluation Metrics in Recommendation

Once you build the models, you require metrics to evaluate how effective is your model. You will learn various evaluation tools in RE.

Use cases

You will also get an opportunity to focus on additional use cases. Later, you can compare your solution with the SME-provided solution.

ChatGpt Essentials

ChatGpt is a revolutionary AI chatbot technology that provides users with powerful tools for content generation, prompt ideas, and other features. This module will help you understand the various capabilities of this advanced technology, including its strengths and limitations.

GPT-3 (Generative Pre-trained Transformer 3) is a state-of-the-art language model developed by OpenAI. Learn about GPT-3 and its capabilities like Natural Language Understanding abd Promt Engineering.

Prompt engineering is the practice of designing and crafting effective prompts or input instructions for language models like GPT-3 to guide their generation of desired outputs. Learn to leverage the power of prompt engineering to be 10x productive like never before.

Explainable AI and model interpretability are becoming increasingly important as AI models are being used in various critical domains, such as healthcare, finance, and legal systems, where accountability, fairness, and transparency are crucial. Learn to build machine learning models using LIME & ShARP.

Dive into the GPT model and their architecture. Develop understanding about concepts like Reinforcement Learning from Human Feedback (RLHF), one-shot learning, and few shot learning.

Learn to build an AI Evaluator that automatically evaluate exam submissions by the students by leveraging the GPT and eliminating the need for training NLP models from the scratch.

Understand and learn to build a GNN model.

In depth understanding of advanced GNN.

Generative models can be used in a wide range of applications, including image generation, text generation, speech synthesis, music composition, and more. Build underderstandinng of text-to-image models and image-to-text models.

Electives

Strong hand-holding with dedicated support to help you master some of the complex processes of Data Science and Artificial Intelligence.

Deep Learning with Computer Vision

  • Deep Learning
  • Computer Vision

Deep Learning with NLP

  • Deep Learning
  • Deep NLP

Business Analytics with R

  • Business Analytics with "R" programming and R shiny
  • Business Analytics with Advanced Excel

Business Analytics with Tableau

  • Business Analytics with Tableau
  • Business Analytics with Advanced Excel

Business Analytics with Power BI

  • Business Analytics with Power BI
  • Business Analytics with Advanced Excel

Industry Projects

This online data science course in London, UK gives you the opportunity to study through real-life industrial projects sponsored by prominent firms in a variety of industries.

  • Participate in collaborative projects as well as learn from peersParticipate in collaborative projects and learn from your peers one-to-one.
  • One on one Mentoring by industry experts for better learning & applicationMentoring from industry professionals to improve learning and application.
  • Regular Personalized subjective feedback on your performance to facilitate improvementPersonalized subjective feedback on your performance on a regular basis to aid in improvement.
Smartphone and Smartwatch Activity

Smartphone and Smartwatch Activity

The raw accelerometer and whirligig sensor data from the wristwatch and mobile phone are gathered at a rate of 20Hz.

Recommendation System

Recommendation System

In today's interconnected world, businesses must employ recommendation systems to promote their products and services to clients.

Air Quality Study

Air Quality Study

Predicting the air quality of different locations of the nation based on data collected from the Meteorological Department

Why DataTrained For A Data Science Course In London?

The Post Graduate Program in Data Science, Machine Learning, and Neural Networks offered by Datatrained is the best and most exclusive Data Science course in London, with 100% placement. The curriculum is built by data scientists in collaboration with industry specialists who have worked in data science firms in London for several decades and in accordance with worldwide industry standards. This 12-month program seeks to find a great mix of practical and theoretical study, encompassing everything from the fundamentals to the higher levels of the Data Science course in London and across the globe as well.

Enroll today in London's top online Data Science program.

6 month practical internship

DataTrained provides a 6-month internship to assures that you graduate as an experienced data science expert rather than a rookie. In addition to your existing career, you have the option of pursuing an online internship. Internships are crucial in establishing one's future route. It not only helps students and graduates to gain real-world working experience, but it also allows you to develop the necessary skills to stand out in a congested job market.

Resume pepration by DataTrained

A CV should be professional, concise, and easy to read, and it should highlight your most significant accomplishments and achievements. As a result, Datatrained has partnered with IIMJobs to provide you with access to their premium resume preparation kit as well as personal comments from top industry HR specialists. Our specialists create an individual career profile based on the candidate's experience to make it relevant to an Investment banker post. Reviewers will examine your CV in the same manner that a prospective employer would. Outside resume review is useful not just for detecting flaws, but also for indicating areas that may require more focus. We will help you! Examine your resume with employment counselors and industry experts.

Interview pepration DataTrained

Mentors conduct regular mock HR and technical interviews, providing personal assistance and coaching. Industry mentors assist students in completing projects on Kaggle and progressing to the status bar so that their CV seems competitive and professional to recruiters. By planning ahead of time, you will feel more secure and, as a result, look cool, calm, and collected to potential employers – qualities that are always desired in the ideal candidate. You'll know what questions to expect in the interview, you'll be well-versed in the firm, and you'll be professional and composed.

100% placement assistance

We have over 400 recruiting partner organizations, and we create an Ability Score for each student, which is then forwarded to our 950+ recruitment partner businesses. Every quarter, we arrange campus placements to position our students. According to the Hindustan Times, "the institute made a record by placing 350 pupils in just 5 days." DataTrained is only business school across the globe that places students and starts them working after the first year of a two-year management curriculum."

Career Impact

DataTrained presents the best online Data Science Program in Edinburgh. Over 5000 Careers Transformed.

DataTrained has helped me with the vital knowledge and skills that are needed for a data scientist role. The trainer starts with an example to make us comprehend the concept and then help us build the Algorithms with the real industry datasets. DataTrained brings the power of online learning along with dedicated Mentorship, Counselling, Live Sessions and 6 months Internship.

Aaruni Khare-- Data Scientist
Aruni Khare Data Scientist, RBS

I saw an ad from DataTrained on facebook and I contacted them straight away and enquired about their Data Science online course. Their counselor took me through the complete journey of what they offer and what is data science all about. After continuous conversation for a few weeks, I was pretty sure about the course and now I knew where I need to invest my money and hard work.

Rakshit Jain- Data Scientist, Optum
Rakshit Jain Data Scientist, Optum

The program is a well-balanced mix of pre-recorded classes, live sessions on weekends and printed reading materials they sent to my address. My mentor was Amit Kaushik and he helped me in getting that confidence and completing my assignments on time. I have almost completed the course and have been able to crack Glenmark interview. Thank you so much DataTrained.

Rupam Kumar Chaurasia-- Head Sales, Glenmark
Rupam Kumar Chaurasia Head Sales, Glenmark
66% Average Salary Hike - data science programs with placement 66%

Average Salary Hike

18 LPA Highest Salary - online data science programs and placement £ 73,212 PA

Highest Salary

7k+ Jobs  Sourced - data science jobs 7k+

Jobs Sourced

950+ Hiring Partners - online data science training 950+

Hiring Partners

Admission Process

There are 3 simple steps in the Admission Process which is detailed below

Step 1: Fill in a Query Form

Fill up the Query Form and one of our counselors will call you & understand your eligibility.

Step 2: Get Shortlisted & Receive a Call

Our Admissions Committee will review your profile. Upon qualifying, an Email will be sent to you confirming your admission to the Program.

Step 3: Block your Seat & Begin the Prep Course

Block your seat with payment to enroll in the program. Begin with your Prep course and start your Data Science journey!

Data Science Course Fee

£ 5,500

No Cost EMI options are also available. *

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What's Included in the Price

Placements

Access to real-life 40 industry projects

6 Months online Internship part of the core curriculum

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Frequently Ask Questions

We've all heard the phrase "Data is the New Oil." The titans of the twenty-first century, such as Amazon, Apple, Facebook, and Microsoft, are prospering as a result of the efficient use of this digital era oil. Their market dominance is due to the money earned by digital advertising, which is achieved via the effective use of data analytics.

The data sector is now growing, with an estimated worth of $40m. Growth has a direct influence on the need for data analysts all across the world. Data science course London as a result, the study of Data Science or Data Analytics is expanding across the world, and is particularly popular at UK institutions.

Best Universities for Data Science course London (UK).

Name of University Annual Fee (Recent Figures)
Data Trained Education £ 5,500
University of Oxford £28,560
The London School of Economics and Political Science £30,960
The University of Bath £25,000
King's College London £ 27,900

Data science courses in London are in great demand in a variety of industries because organizations want employees with the proper blend of technical, analytical, and communication abilities.

If you want to work as a data scientist, the United Kingdom is a fantastic location to be. There is no shortage of thrilling work prospects, and some of the world's most well-known AI businesses are British. To know more about artificial intelligence and data science CLICK HERE

The following are the stages to become a data scientist and learn data science course London:

  1. Complete a bachelor's degree

    Most data scientists complete a four-year undergraduate degree in information technology, math, computer science, physics, or a related discipline. Most students have at least one internship before working in an entry-level capacity, so network with data scientists early in your college experience to choose the best path to pursue. Informational interviews can provide you with a deeper understanding of a data scientist's day-to-day schedule as well as organizations that are hiring for this role.

  2. Receive a master's degree

    To advance in their careers, data scientists should get a master's degree in data, engineering, computer science, business administration, or a similar discipline. A master's degree may also put you ahead of other data scientist applicants when applying for higher-paying employment. Examine the program criteria to determine whether they correspond to the job path you choose.

  3. Get some job experience

    While you can gain many skills for this career during your school programs, the majority of what you learn will be on the job. Data scientists are in great demand, and obtaining entry-level work in data science frequently leads to roles such as junior data scientist or junior data analyst. Companies may give on-the-job training and certifications that can lead to promotions while working in an entry-level role.

  4. Create your portfolio

    A good data scientist has a portfolio that includes examples of initiatives that benefited past companies. A visual presentation of projects from start to finish showcases your experience and gives you an advantage over a candidate with equivalent training. Consider displaying your work on a professional-looking website or in a slide presentation that you can submit to potential employers.

The United Kingdom is one of the top places to pursue an MS in Data Science course London. There are several colleges that offer master's degrees in data science and give students with high-quality education.

Data analysis is a rapidly expanding discipline, and talented analysts are in great demand across all industries. This need for skilled analysts is only expected to expand in the coming years, not only in the UK but also in foreign organizations. This is in addition to the fact that data professionals are needed in a wide range of businesses and domains, including healthcare, manufacturing, education, media, retail, and even real estate. As a result, advancement in the job should be a rather rapid process.

The aspects of Data Analytics (DA) in the UK is vast, with graduates and postgraduates finding solid jobs in several areas of the economy. Students who complete the data science course London have a thorough awareness and knowledge of the practice and concepts of safeguarding data from a variety of sources.

Simply said, data scientist has emerged as one of the most important jobs of the twenty-first century. Furthermore, according to the Harvard Business Review, it is the most enticing job of the twenty-first century. "Tell your kids to be data scientists, not physicians," Wired advises parents.

As a data scientist, you contribute to gaining insight into the massive volumes of data generated by our society. Currently, a severe scarcity of data scientists is posing a substantial limitation in many industries. People like you are needed in industries such as business, energy, government, healthcare, intelligence and security, and logistics. Furthermore, because the application fields for data science are so diverse, you may work in a topic that piques your own interest.

Even the royals are confronting a talent shortage when it comes to data science, AI/ML, and deep learning ability. According to several sources, the UK is experiencing a 'growing demand' for persons with data science skills, and the school system must reform to keep up with the needs. Over the last several years, the need for data scientists and engineers has increased threefold in the United Kingdom. However, it has been observed that firms demand more than just data science expertise. Rather, it is a combination of talents, such as data science combined with design, and so on. This implies that more hybrid employment positions are being developed in which a person must be skilled in areas other than data science. Regardless, the Royals require data science skills in any case.

Data Scientists, like other IT positions, focus on assisting their firm in using a certain technology. They are professionals in dealing with enormous volumes of data and are in charge of generating commercial value.

A Data Scientist, similar to how a database administrator assists various staff members in using and managing the firm's database systems, assists the organization in managing its data and developing better solutions. They assist their company's executives in making better-informed choices by harnessing insights from accessible data. To accomplish their tasks successfully, data scientists must be knowledgeable in many facets of information technology, including programming and computer science. They would be unable to function effectively unless they were conversant with the fundamentals of information technology.

Yes, data science positions are among the most rapidly rising and in-demand in technology. Data Scientist positions have surged by 650 percent since 2012, and this trend shows no signs of abating. According to the U.S. Bureau of Labor Statistics, demand for data science abilities will rise by 27.9 percent by 2026. According to a McKinsey estimate, this will result in a shortfall of between 140,000 and 190,000 employees with analytical abilities in the United States alone, not to mention another 1.5 million managers and analysts who will need to comprehend how data analysis affects decision-making. Data Scientist salaries have grown in pace with demand; Data Scientists may now expect to earn six figures.

It is also most likely an overly conservative projection. With the exception of 2016 and 2021, statistics from Glassdoor noted that the majority of data science job postings have been steadily increasing. The year has hardly begun, yet there is already a 70% increase in 2022 compared to 2021. This data science course London is the finest course.

Job searching in London might be simple, but it is a competitive market. This implies you must stand out from the throng. Because sectors have various criteria and expectations, some jobs are simpler to locate than others, so do your study before applying for positions.

As a result, it's essential to have a strong CV, relevant job experience, and, of course, to prepare for interviews.

The United Kingdom is one of the top study abroad locations, with reputable colleges providing a comprehensive selection of degrees. Choosing to study the top courses in the UK may help you improve your abilities and provide you access to the greatest career possibilities.

For example, if you studyData Science course London, which is one of the most popular degrees in the UK, you will have a better chance of landing a high-paying job. Similarly, there are several more top courses in the UK that may help you advance your profession.

Here is a list of the top ten finest courses to study in the UK:

  1. Business Analytics
  2. Data Science
  3. Computer Science
  4. MBA and MIM
  5. MBBS
  6. Finance, International Business and Accounting
  7. Law
  8. Architecture and Construction Management
  9. Engineering
  10. Fashion and Interior designing

The United Kingdom is one of the top places to pursue an MS in Data Science course London.

Although the UK is one of Europe's leading powers in artificial intelligence, a lack of skills and strategic investment may be holding it back from reaching its full potential. When it comes to AI, no country can compete with the United States or China, but the United Kingdom is one of Europe's leaders, according to McKinsey's research. The United Kingdom ranks first in the world in terms of research, startup investment, digital absorption, innovation foundation, and ICT connectivity. However, it ranks lower in terms of automation potential and human capital. While a Data Science course London may contribute to some aspects of AI, it does not reflect all of it. Data Science is the most popular field in the world today.

Loughborough University is ranked among the top-150 universities in the world for Business and Management Studies. In the 2021 QS World University Rankings by Subject, Loughborough was ranked among the world's Top-150 institutions for Business and Management Studies – 22nd from those listed from the United Kingdom. Data Science course London may contribute to the best machine learning.

The Department of Computer Science at Loughborough University is ranked Top 10 for Computer Science in The Guardian University Guide 2021, and it provides creative teaching, cutting-edge facilities and learning materials, and outstanding job opportunities.

After completing masters in data science , there are a plethora of job opportunities in the UK.Lead and chief data scientists can earn £60,000 or more and in some cases the salary can reach upto £100,000.Apart from that the salaries of junior data scientists also starts from £ 25, 000 , rising up to £ 40,000 depending upon the experience of the person. The only mandate is that the person must have pursued their masters in data science.

According to the World University Ranking of 2022, a total of 10 universities in the UK offer the best of the world's data science masters program.The universities are :University of Edinburgh , King's College London , University of Manchester, University of Bristol, University of Glasgow, University Of Birmingham , University Of Sheffield , University Of Southampton,Lancaster University and University of Sussex. These universities don't only offer the data science masters but a pool of other data science related courses.

Yes, data science bootcamp and courses related to data science are one of the choicest investments these days for a data science bootcamp enthusiast. The reason is that today so many organizations now value demonstrable skills and experience over mere enrollment in data science bootcamps. In today's day and age the organizations are more focused on hands-on and immersive learning. So data science bootcamp can add as plus if you wish to be hired by the leading organizations.

The United Kingdom is one of the best countries to study masters in Data Science. There are a lot of universities that offer Masters in Data Science like :Imperial College London ,University of Edinburgh , King's College London , University of Manchester, University of Bristol, University of Glasgow, University Of Birmingham , University Of Sheffield , University Of Southampton,Lancaster University, University of Sussex and University of Leeds. These colleges are ranked as one of the best for masters in data science. They provide high-quality education to the students and offer good scholarships as well.

Yes , the U K is a great place for data science jobs. After the completion of masters in data science a person can expect a salary upto £100,000 per year.The Lead and chief data scientists can earn £60,000 or more and in some cases the salary can reach upto £100,000.Apart from that the salaries of junior data scientists also starts from £ 25, 000 , rising up to £ 40,000 depending upon the experience of the person.The average salary of Data Scientists is £49339 per year in United Kingdom.The data science jobs largely depends on the type of organization . Usually the working days are from Monday to friday.

Masters in data science is one of the best data science courses in the UK.The universities in the United Kingdom that offer data science courses and also masters in data science are ranked among the top colleges for data science by World University Ranking of 2022.The duration of full time masters in data science course is 1 year and the duration of part time masters in data science is two years.

The pace of growth in demand for AI job roles in the UK has outstripped that in the US, Canada and Australia. The scope of predictive analytics and artificial intelligence in the UK has increased over the years .According to research, demand for professionals with artificial intelligence (AI) skills in the UK has almost tripled over the last three years.

Scope in cybersecurity, pharmaceutical research & healthcare industry for artificial intelligence masters graduates in the UK has been improvising.Masters in artificial intelligence in the universities of UK will also set the tone for a lucrative career ahead in the country itself.

The UK is already regarded as a global leader in artificial intelligence (AI) while offering the world’s top courses in the fields of predictive analytics and machine learning. Apart from the potential of the UK to be the Artificial intelligence hub, the scope for those graduating with a masters in artificial intelligence from the UK are outstanding.

Artificial Intelligence courses are among the machine learning course. The UK is already regarded as a global leader in artificial intelligence (AI) while offering the world’s top machine learning course.The tuition fees may cost roughly £5,000-12,000 per year at the leading universities in the UK that offer machine learning course. The top universities in UK where you can study AI are : Imperial College London , The University of Edinburgh , The University of Manchester, Cranfield University , University of Birmingham , University of Southampton Queen Mary University of London, LoughboroughUniversity ,University of Strathclyde Glasgow ,Aston University , Coventry University ,Bournemouth University and University of Hertfordshire

The UK has some of the world’s top universities that offer professional and highly specialized machine learning course. In the UK , machine learning course are provided in an excellent environment. The universities in the UK offer truly unique programmes with a view to upgrade expertise and skills in the domain of machine learning . They strongly emphasize the mathematical, computational and business views of machine learning.

You are eligible for a refund of the Booking Amount if you cancel your course within 7 calendar days of the Course Registration Date, which is the date of payment. However, this refund policy does not supersede any course-specific refund terms. Please consult your counselor for more information about the respective course's refund terms.

In case you have taken a loan, underlying is the loan cancellation policy.

If you have taken a loan from any of our Lending Partners, you must pay the Loan Instalments as per your EMI schedule as discussed with the lending company. If you default on your loan, DataTrained can stop your access to the LMS content and the Live Sessions. In case you cancel a loan in the future, you will need to pay DataTrained the following amount:

  1. The Interest Part of the Loan. DataTrained bears the Interest part of your loan. Upon cancellation of your loan, you will need to pay the accrued loan part to DataTrained. This is at present flat 10% of the total Loan amount.
  2. You will also need to pay your fee for the total months you have been with DataTrained.
  3. Loan Cancellation charge of 300 GBP.
Let's take an example to explain this:
  • Let's say you have taken a loan of 1000 GBP for a course of duration of 10 Months with 12 months of EMI tenure and have studied for 4 Months.
  • Your total fee for the period you have studied (4 months) would be 100*4, that comes to 400 GBP.
  • You must have paid 4 EMIs to the bank against your loan.
  • Now, let's say your monthly Loan EMI is 83 GBP so, you must have paid a total Rs. 83*4, that comes to 332.
  • So, you will be liable to pay, Total Fee Accrued (400 GBP) + Interest Amount Accrued so far (As per lending partners records) + Loan Cancellation Charge (300 GBP) - Total Loan EMIs amount paid (332 GBP).
Data Science Trends in London.

The United Kingdom is one of the top places to pursue an MS in Data Science. There are several colleges that offer master's degrees in data science and give students with high-quality education. The scope of Data Analytics (DA) in the UK is vast, with graduates and postgraduates finding solid jobs in several areas of the economy. Students who complete the course have a thorough awareness and knowledge of the practice and concepts of safeguarding data from a variety of sources. Data analysis is a rapidly expanding discipline, and talented analysts are in great demand across all industries. This need for skilled analysts is only expected to expand in the coming years, not only in the UK but also in foreign organizations.

Jobs/Vacancies in the field of Data Science in London

Job searching in London might be simple, but it is a competitive market. This implies you must stand out from the throng. Because sectors have various criteria and expectations, some jobs are simpler to locate than others, so do your study before applying for positions.

As a result, it's essential to have a strong CV, relevant job experience, and, of course, to prepare for interviews.

According to LinkedIn's Emerging Jobs Report, data science is the fastest expanding job sector globally, with a growth rate of over 650 percent since 2012 and a market expected to increase from $37.9 billion in 2019 to $230.80 billion by 2026.

Salary in London of Data Science Professionals

In the London, United Kingdom Area, the average income for a Data Scientist is £52,052 per year. Estimated salaries for Data Scientist employees in London, United Kingdom Area are based on 1304 salaries reported anonymously to Glassdoor by Data Scientist employees.

Earnings for junior data scientists typically range from £25,000 to £30,000, with the potential to rise to £40,000 based on experience. You may expect to earn between £40,000 and £60,000 with a few years of experience. Lead and chief data scientists can make up to £60,000 and in some circumstances more than £100,000 per year. You may expect to earn between £40,000 and £60,000 with a few years of experience. Lead and chief data scientists can make up to £60,000, and in some circumstances more than £100,000 per year.