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PG Program in Data Science, Machine Learning & Neural Networks in Edinburgh, Scotland

Best Data Science Course In Edinburgh, Scotland With Placement Assistance

In Curriculum

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With this Job-Assistance Program in Edinburgh, you can become an industry-ready Certified Data Science expert by immersing yourself in data analysis, visualization, machine learning models, forecasting and predicting models, NLP, Deep Learning, and more.

19 Jul, 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 Edinburgh

DataTrained offers the Best Data Science Course in Edinburgh 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 Edinburgh with Placement. Also with the most affordable Data Science Course fee structure in Edinburgh. DataTrained is regarded as the Best Data Science Training Institute in Edinburgh which offers services from training to placement guarantee. DataTrained imparts the Best Data Science Course in Edinburgh with placement guarantee. Enroll Now, to start your career with the Data Science Course in Edinburgh with placement guarantee.

Key Highlights

  • 6 Months Live Internship6 Months Live Internship
  • Data science course in Edinburgh with one-on-one interaction with Industry MentorsData science course in Edinburgh with one-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 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 Edinburgh.

5 Unique Specializations- data science programs near me

5 Unique Specializations

Choose from 5 unique specializations according to your academic background & career aspirations. Get an Executive Certification In Data Science, Machine Learning & Neural Networks in Edinburgh.

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

Chat support is available from 06 AM to 11 PM IST for Quick Query Resolution. 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 Edinburgh provides you a learning opportunity through real-life industry projects sponsored by top companies across various industries

  • Participate in collaborative projects as well as learn from peersParticipate in collaborative projects as well as learn from peers
  • One on one Mentoring by industry experts for better learning & applicationOne on one Mentoring by industry experts for better learning & application
  • Regular Personalized subjective feedback on your performance to facilitate improvementRegular Personalized subjective feedback on your performance to facilitate improvement
Smartphone and Smartwatch Activity

Smartphone and Smartwatch Activity

The crude accelerometer and whirligig sensor data are accumulated from the smartwatch and cell phone at a pace of 20Hz.

Recommendation System

Recommendation System

In the connected world, organizations must use recommendation systems to Recommend their Products & Services to the customers.

Air Quality Study

Air Quality Study

Based on The Data Collected from the Meteorological Department, Predicting The Air Quality Of Different areas of The country

Why DataTrained For A Data Science Course In Edinburgh?

Datatrained offers the best and most exclusive Data Science program in Edinburgh with placement assistance i.e. the Post Graduate Program in Data Science, Machine Learning, and Neural Networks. The program is designed by Data scientists from industry experts working in the data science companies of Edinburgh for several decades and as per the international industry standards. The duration of this course is 12 months which aims to strike a perfect balance between practical and theoretical learning covering everything from the basics to the advanced levels of the Data Science program in Edinburgh and across India.

Enroll now in the best Data Science program online in Edinburgh

6 month practical internship

DataTrained offers a 6 Months internship to ensure you graduate as an experienced data science professional as you are not a fresher anymore. You also have the opportunity to go for an online internship along with your current job. Internships are extremely important in determining one's future path. It not only allows students and graduates to obtain real-world experience in the workplace, but it will allow you to build the essential abilities to stand out in a crowded employment market.

Resume pepration by DataTrained

A resume should be professional, straightforward, and easy to read, outlining your most significant accomplishments and achievements. Therefore, Datatrained has Partnered with IIMJobs which gives you access to their paid resume preparation kit along with personal feedback from the top industry HR experts. An individual career profile is prepared by our experts as per the candidate’s experience to make it relevant to an Investment banker role. Reviewers will examine your CV in the same way that a potential employer would. Outside resume review is beneficial not just for discovering problems, but also for identifying areas that may require more attention. We will assist you! Have your resume examined by job counselors and industry experts.

Interview pepration DataTrained

Regular mock HR and Technical interviews by mentors with personal support and guidance. The industry mentors help students to take projects on Kaggle and move on to the status bar so that their resume looks competitive and professional to the recruiters. By preparing ahead of time, you'll feel more confident and, as a consequence, appear cool, calm, and collected to potential employers — attributes that are always sought in the ideal applicant. You'll know what questions will be asked in the interview, you'll know a lot about the company, and you'll be professional and calm.

100% placement assistance

We have 950+ recruitment partner organizations, we generate the Ability Score of every student which is then sent to our 950+ recruitment partner organizations. We organize campus placements every quarter to place our students. Hindustan Times mentioned, “The institute set a record and placed 350 students in just 5 days. DataTrained is India's only business school where students are placed and begin 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. *

best data science institute

I’m interested in this program

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

Data is the way of the future. That's why we're spending £661,000,000 on our plan to transform our country's capital into Europe's 'Data Capital.' Scotland's ambitious 10-year Data-Driven Innovation program, which will open in a new window, will collaborate with partners in government, business, and educational institutions to make Edinburgh the No. 1 place for data science startups and enterprises. Across the country, you'll discover brilliance in school, a nation of inventors, and committed research centers. You may rest assistance that Scotland offers a talented workforce with the necessary skills and expertise to help your company flourish. We'll satisfy your demands today and in the future thanks to highly reliable skills and the education system.

Our data science course comes with placement assistance as this program is designed with Data scientists from top industry experts working in the data science domain for several decades. It covers all theoretical as well as practical aspects of data science from basic to advanced.

This data science online course in Edinburgh provides a 6 months live internship to make sure you are industry-ready. This course comes with a 100% Placement Assistance so you don’t have to worry about placement.

DataTrained aims to provide Data Science Courses at affordable prices. Our course is comparatively more affordable than others and the Data Science course in Edinburgh is available at £ 5,500.

We offer the data science course at an affordable price as it is our mission to provide quality education at an affordable cost with the best counseling sessions as well as industry interface. We aim to see our students getting placed at the best organizations in various data science roles. It’s our responsibility to make data science training affordable for everyone interested in learning. For more information, please contact us. We’d love to hear from you.

PG Program in data science, machine learning & natural networks is the best data science course in UK. Our mission is to provide quality education at an affordable cost with the best counseling sessions and industry interface. Our course has a comprehensive curriculum and It has been designed by faculty from IITs, and Expert industry professionals. You’ll get to learn through real-life industry projects sponsored by top companies across industries. Along with the data science course, you’ll get extra benefits of:-

  • Live Internship
  • Resume Feedback
  • Interview Preparation
  • 100% Placement Assistance

For any further information, please contact us. We’d love to hear from you and help you.

Of course, Data science is a great career. Data science is a buzzword these days. Harvard Business declared data scientist as the sexiest job of the 21st century. The Data science sector has had exponential growth of 650% since 2012 and the future is even better since data has surpassed oil in value. The US Bureau of Labor Statistics forecasted that demand for data science skills will increase by 27.9% by 2026. A few benefits of a career in data science are -

  • Huge Demand for Data Scientists
  • Less Competition
  • High salary package
  • Countless Growth Opportunities
  • Variety of job roles

The future is extremely promising in the data science stream. Avail of this opportunity and be future-ready with our data science online course in Edinburgh.

If you want to work as a data scientist, the Uk is an excellent location to go. There are plenty of fascinating work prospects, and some of the world's most well-known AI companies are based in the United Kingdom. Some of the most well-known names in the subject are based in the United Kingdom, including Deepmind, Benevolent AI, Oxbotica, FiveAI, and the Alan Turing Institute. By 2020, the UK is expected to have 1,000,000 data science and analytics experts. As a result, we can confidently conclude that it is a popular professional choice in the Uk.

Data Scientists, like other IT occupations, are concerned with assisting their organization in the utilization of data. They are professionals in dealing with enormous volumes of data and who is in charge of extracting commercial value. A Data Scientist assists the business in managing its data and developing better solutions, just like a database administrator assists different staff members in using and managing the firm's database systems. By using insights from existing data, they assist their company's executives in making better-informed decisions.

Yes, Data science does need basic coding skills although, you don’t need to be an advanced level coder. In certain cases, you don’t even need to write a single code since there are so many interfaces like google AutoML. Python is the most common programming language when it comes to data science. Learning the Python language is just like learning the English language.

Another significant benefit of python is that there are already libraries available which means you don’t need to write codes. Therefore, during data science training, the focus will be on learning data science concepts, their applications, and projects. So, do not worry about coding. Our PG Program in Data Science, Machine Learning & Neural Networks course equips you with all the necessary skills needed for data science like the basics of python.

The average data scientist's income in the United Kingdom is £45,000 pounds, according to Glassdoor. This is based on a sample of 822 salaries, but keep in mind that the stated income range is rather broad - £30,000 to £70,000 per year. When comparing huge tech organizations to other firms providing positions in the industry, Glassdoor data shows that large tech companies pay significantly more.

If you have the ambition to be a data scientist, enroll yourself in PG Program in Data Science, Machine Learning & Neural Networks course. It’s easier to learn data science online since you only need a computer with the internet and the willingness to learn. A few advantages of the online course are:

  • Flexible Time slots
  • Affordable fees
  • Upskilling in career
  • Allows you to learn at your own pace
  • Less commute
  • Study with Job

Apart from these benefits, our data science course in Edinburgh provides 300+ hours of content, 80+ hours of live sessions, and more than 15 tools & software. You’ll get to learn from industry stalwarts as they help you understand the applications and clear your doubts. 6 Months internship ensures you graduate as an experienced data science professional rather than a fresher. Yes, you can become a data scientist with an online data science course in Edinburgh.

The economy of the United Kingdom has become more reliant on data. Consumers and organizations are creating additional data than ever because of the rapid progress and acceptance of technology. The demand for 'data skills' is increasing as technology advances. The scale of the data industry is estimated differently depending on how it is defined. According to the Department for Digital, Culture, Media, and Sport (DCMS), the UK data economy was worth between £61.3 billion and £73.3 billion in 2016.

According to some academics, the country's data economy's entire potential worth might be far higher. According to Digital Realty, a data center operator, the UK data economy might have been valued at up to £125 billion in 2016.

A profession in data science is definitely worth the time and money you put into it. Not only is it a wise investment that pays well, but data is also poised to become the pivot around which the whole economy will eventually revolve. It's never been a better moment to pursue a career as a data scientist. Not only is there a significant need for qualified data scientists today, but there is also a large supply imbalance. This just adds to the huge opportunities for you to follow this in-demand profession while also earning more money than any other sector currently offers.

We have observed how smartphones took over the world and started a digital revolution. It is always good to catch a train before leaving the station. Therefore, enroll yourself in DataTrained’s PG Program in Data Science, Machine Learning & Neural Networks course so you can fulfill the demand of data scientists in the UK. Another advantage is that you will grow and reach higher levels when there will be cutthroat competition in the future.

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).