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PG Course in Data Science, Machine Learning, and Neural Networks in Noida in collaboration with

Aligned to Competency Standards developed by SSC NASSCOM In Collaboration with Industry and approved by Government of India

Data Science Training in Noida with Placement Guarantee

In Curriculum

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Become an industry-ready certified data science professional with this exclusive data science training in Noida with learning of Forecasting and predicting Models, Visualization, Data Analysis with Machine Learning models, and much more, all this with a 100% placement guarantee in Noida.

In Collaboration With
  • NASSCOM
    in
    Noida
  • nasscom data science training in noida

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 Training in Noida

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

Key Highlights

  • 6 Months of rigorous Internship - data science training in noida6 Months of rigorous Internship
  • One-on-One interaction with Industry Mentors - data science training in noidaOne-on-One interaction with Industry Mentors
  • 100% Placement guarantee - data science training in noida100% Placement guarantee
  • 40+ Live Projects along with Case Studies - data science training in noida40+ Live Projects along with Case Studies
  • Dedicated Career Program Manager - data science training in noidaDedicated Career Program Manager
  • 360 Degree Career Guidance - data science training in noida360 Degree Career Guidance
  • Ideal for both Fresh Graduates - data science training in noidaIdeal for both Fresh Graduates & Working Professionals
  • Unique Specializations to choose from - data science training in noidaUnique Specializations to choose from
  • Prompt Query Resolution - data science training in noidaPrompt Query Resolution

PG Program in Data Science, Machine Learning & Neural Networks

  1. ₹ 160000
    • Learners - data science training in noida
    • Learners - data science training in noida
    • Learners - data science training in noida
    • Learners - data science training in noida
    8500+ learners
Features
  • 300+ hours of learning
  • Practice Test Included
  • Certificate of completion
  • 5 Domain Specializations

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

Get eligible for 4 world-class certifications thus adding that extra edge to your resume.

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

Languages and Tools covered.

  • Excel - data science training in noida
  • Python - data science training in noida
  • Tableau - data science training in noida
  • NLP - data science training in noida
  • SQL server - data science training in noida

What's the focus of this Data Science training in Noida with placement?

Choose from five uniquely designed specializations, live case studies, and projects, learn 14+ programming tools & languages, six months of live internship, dedicated career support, industry expert mentors, and much more with the data science training in Noida. The focus of this data science training in Noida is to provide an affordable fee structure to the students.

5 Unique Specializations - data science training in noida

5 Unique Specializations

Select among the five unique specializations according to your qualifications and career needs. Get an Executive Certification In Data Science, Neural Networks, and Machine Learning in collaboration with in Noida.

Dedicated Career Assistance - data science training in noida

Dedicated Career Assistance

Provide 1:1 career counseling sessions with the best industry professionals and regular result-oriented mock interviews with hiring managers. Fuel up your career journey with our 950+ ring partners from various industries.

Student Support - data science training in noida

Student Support

Students can resolve their queries from 06 AM to 11 PM IST. You can also communicate with our program managers through call or chat and use our user-friendly ticket-raising system during company 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

Get industry exposure by learning through real-life industry projects with top companies worldwide and complete data science training in Noida. The data science training in Noida has the following key points:

  • Learn by working on joint projects - data science training in noidaLearn by working on joint projects and from your peers.
  • Get professional industry mentors to support you - data science training in noidaGet professional industry mentors to support you.
  • Improve yourself from personalized feedback - data science training in noidaImprove yourself from personalized feedback at your every submission of work
Smartphone and Smartwatch Activity - data science training in noida

Smartphone and Smartwatch Activity

Gather the information of the crude accelerometer & whirligig sensor from the smartwatch and cell phones at the speed of 20 Hz.

Recommendation System - data science training in noida

Recommendation System

Use organizations to recommend their product and services to the people in this interconnected world.

Air Quality Study - data science training in noida

Air Quality Study

As per the established data, collect data from the Meteorological Department and forecast the air quality in different parts of Noida.

Why Choose DataTrained for a Data Science Training In Noida with Placement?

DataTrained brings the exclusively designed data science training in Noida with a 100% placement guarantee through PG courses in Data Science, ANN, and ML. DataTrained, in collaboration with and other experienced industry experts, designed the program. The program curriculum meets international industry standards. The program is perfectly balanced while covering both practical and theoretical learning and learnings from fundamental to advanced levels; The course duration is 12 months which perfectly fits all the requirements of the best data science training in Noida.

Book your seat for the best data science training in Noida and get all benefits of the course.

Internship - data science training in noida

There is a six months internship with data science training in Noida to convert the fresher tag of the students to an experienced professional. DataTrained also facilitates an online internship program for working professionals.

Resume Feedback - data science training in noida

DataTrained, in collaboration with IIMJobs for data science training in Noida, provides students access to their paid resume preparation kit encapsulated with personalized feedback from the HR experts team. According to the candidate's experience, our experts prepare an individual career profile to ensure the candidate is ready to become a data scientist.

Interview Preparation - data science training in noida

Students go through regular HR and technical interviews with mentors with guidance and personal support. To make students' resumes look more professional to recruiters, industry mentors help candidates to upload projects on Kaggle.

Placement - data science training in noida

We generate individual ability scores and forward them to our 950+ recruitment partner organizations and also arrange campus placement every three months to place students in the top companies.

Career Impact

DataTrained, in collaboration with , designs the data science training in Noida. DataTrained transformed the career of more than 150,000 and is still in process.

My training started with an example to make things easy while learning the concepts and supported me in building algorithms using real industry data sets. Datatrained helped me throughout the journey and made it easy for me to be a data scientist. DataTrained boosted the online learning concept, and their mentors are very dedicated and provide live sessions and a six months internship.

Aaruni Khare, Data Scientist, RBS - data science training in noida
Aruni Khare Data Scientist, RBS

As usual, I was on Facebook, and came across an ad from DataTrained. I connected with them to enquire about data science training in Noida. The counselor helped and explained everything from start to end about what data science is and what they offer in the data science training in Noida. After continuously communicating with them for a week, I do not doubt the data science training in Noida and am pretty sure where to invest my money and hard work.

Rakshit Jain, Data Scientist, Optum - data science training in noida
Rakshit Jain Data Scientist, Optum

The program is well organized with weakened live sessions and pre-recorded classes and also addresses me with a hard copy of reading materials. Amit Kaushik, my mentor, helped me complete my assignments on time and boosted me during the course. I am almost done with my data science training in Noida and hit the Glenmark interview. Thank you DataTrained.

Rupam Kumar Chaurasia, Head Sales, Glenmark - data science training in noida
Rupam Kumar Chaurasia Head Sales, Glenmark
66% Average Salary Hike - data science training in noida 66%

Average Salary Hike

Upto 25LPA Highest Salary - data science training in noida Upto 25LPA

Highest Salary

7k+ Jobs Sourced  - data science training in noida 7k+

Jobs Sourced

950+ Hiring Partners  - data science training in noida 950+

Hiring Partners

Admission Process

Follow three simple steps for admission to data science training in Noida:

Step 1: Fill in a Query Form

Once you fill out the query form, our concealer will call you to know your eligibility for data science training in Noida.

Step 2: Get Shortlisted and Receive a Call

The admission team will review your profile and send a confirmation email for admission when it is successfully qualified for the admission process.

Step 3: Block your Seat and Start the Prep Course

Register for the program by completing the payment and confirming your seat. Start learning data science by beginning with the Prep course.

Data Science Course Fee

₹ 160000 + GST

No Cost EMI options are also available. *

data science training in noida fees

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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Data Science Trends in Noida

The latest trends in data science in Noida show a great demand for data science in India. The market is multiplying, with more companies and institutes offering the best data science course. After the pandemic, domestic companies have made high investments to enhance data science capabilities, funding data science and AI-based startups, and many top MNCs are settling in India.

Among the top IT cities, Noida is one of them with many data scientists opportunities. Data science training in Noida provides an affordable fee structure and a 100% placement guarantee for a high-demanding data science career. The data science industry is expanding at a speed as companies have a large volume of data, and they need data scientists to make it useful and filter out the informative data. Data science is a promising and growing career with several possibilities.

Jobs/Vacancies in the field of Data Science in Noida

There is a 30% increase in jobs of data scientists in April 2022 compared to April 2021. Noida There are more than 6397 open jobs as of April 2022 for data scientists in Noida itself, which is continuously increasing. Top IT companies are offering jobs to data scientists in Noida. Now, distance is not a barrier as there is work from jobs for data scientists, and there is a 1.5 times growth in employment of data scientists in 2022 in India. Enormous opportunities for data scientists to work in Noida.

These vacancies are for both freshers and entry jobs for experienced data scientists. The jobs are available on different platforms that will help you get your dream job and become a demanding data scientist.

Salary in Noida for Data Science Professionals

The salary of a data scientist is handsome, and the average salary of a data scientist in Noida is ₹9,55,884 with additional compensation of ₹1,11,959. This compensation lies in the range of ₹35,443 to ₹2,95,319—an estimation based on the 293 salary reviews on GlassDoor. After getting a PG certificate in data science, you can see a 13 to 25% growth in your salary.

For such a lucrative job and salary, you only need to spend 4-5 hours weekly to become a data science and Machine learning professional and get unlimited profit in the future, allowing your career boundaries to expand to an infinite level.

Data Science Training in Noida with Placement

Noida, an IT hub of India, lies in Uttar Pradesh and is known as NCR Delhi. Noida is newly developed with importance to IT companies and colleges. The luxurious Societies, beautiful malls, buildings, and broad roads are beautiful decorations of Noida. The area of Noida city is 203 square km, and it is one of the highly developed and clean cities of Uttar Pradesh. There are several MNCs offices and highly-reputed colleges. The riverside Okhla Bird sanctuary is a famous tourist spot and beauty of Noida; The refuge has many birds, jackals, and butterflies. Below is a list of favorite attractions of Noida:

Frequently Asked Questions

DataTrained is the best institute for data science training in Noida. DataTrained, in collaboration with and other industry experts, developed exclusive data science training in Noida and blended the program with the following highlights:

  • 6 Months of rigorous Internship
  • One-on-One interaction with Industry Mentors
  • 100% Placement guarantee
  • 40+ Live Projects along with Case Studies
  • Dedicated Career Program Manager
  • 360 Degree Career Guidance
  • Ideal for both Fresh Graduates & Working Professionals
  • Unique Specializations to choose from
  • Prompt Query Resolution

Students will learn all the concepts of ML and data science from fundamental to an advanced level covering the idea with the industry expert mentors. There are four unique specializations to choose from that best suit your need for career and academic background. The data science training in Noida provides a 100% placement guarantee and an affordable fee structure. Book your seat by following a simple three-step process for admission.

Yes, Data science is a promising career as the industry is witness to 30% growth in April 2022 as of April 2021. The market for data scientists is at its peak, with great jobs across the country and lots of jobs in Noida. The industry demands expert data scientists because companies want experts to handle extensive data.

In India, digitization is rapid, attracting foreign MNCs to implant their companies here, creating many vacancies in the data science field. Noida, an IT hub, has more than 6397 open jobs as of April 2022. The exclusive data science training in Noida provides highly qualified tutors and industry expert mentors to support your learning. The growth arc in data science will always remain in an upward direction.

Datatrained provides data science training in Noida with a 100% placement guarantee. DataTrained, in collaboration with and other industry experts, developed the course so beautifully that students will enjoy learning. Also, mentors assist candidates in supporting and making learning easy.

To convert freshers into experienced candidates, the data science training in Noida provides working with online projects and six months internship.

DataTrained generates individual student scorecards to forward to 950+ recruitment partners and organizes campus recruitment every three months to place students in top companies. During data science training in Noida, the students face HR and technical interviews to prepare them for industry interviews. Students get personalized resume feedback and can access the IIM job-paid resume preparation kit.

All these are enough to ensure a placement guarantee with data science training in Noida.

Yes, you can become not only a data scientist but a professional data scientist with data science training in Noida. The program, in collaboration with and other industry experts, is well-structured so that it becomes easy for a student to understand complex machine learning and data science. Two foundation courses, statistics and coding create a strong base for covering the remaining journey easily and quickly.

There are four unique elective specializations as per industry demands. The data science training in Noida meets the international learning standards, thus, helping a student become a globally acceptable data scientist. Wrapped the data science training in Noida with a six months internship, live sessions, a dedicated, supportive team, an instant query resolution system, mentors from top industries, resume feedback, and much more. This data science training in Noida comes with a 100% placement guarantee.

You only need to show total energy and determination to learn by using your 4-5 hours weekly to become an expert data scientist with the data science training in Noida.

The data science training in Noida provides an affordable fee structure and a 100% placement guarantee. The program helps students become professional data scientists and get placed in the top companies. DataTrained in collaboration with and other industry experts designed the program, and it is well balanced with both practical and theoretical concepts, live classes, online learning, industry expert mentorship, personalized feedback, an easy process to understand complex ML concepts, and an elective four unique specializations, and lots more. DataTrained has more than 400 recruitment partner companies to place students and help students make professional resumes. There is high demand for data science in the industry, and this data science training in Noida provides an affordable fee structure so that any student can chase their dream to become a data scientist in top companies.

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.