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

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

Masters in Data Science India with Placement Guarantee

In Curriculum

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This unique Masters in Data Science India course prepares you ready to step into the industry as a certified professional, including concepts of Visualization, Data analysis with Machine Learning models, Forecasting and predicting Models, Deep Learning, NLP, and much more. We promise 100% placement with our Masters in Data Science India course.

In Collaboration With
  • NASSCOM
    in
    India
  • Nasscom masters in data science india

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

Masters in Data Science Course India

DataTrained offers the Best Masters in Data Science Course India 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 this Masters in Data Science Course India with Placement. Also with the most affordable Masters in Data Science Course India fees structure. DataTrained is regarded as the best Masters in Data Science training institute in India which offers services from training to placement guarantee. DataTrained imparts the Best Masters in Data Science Course in India with placement guarantee. Enroll Now, to start your career with this PG Course in Data Science in India with placement guarantee.

Key Highlights

  • 6 Months of rigorous Internship - masters in data science india6 Months of rigorous Internship
  • One-on-One interaction with Industry Mentors - masters in data science indiaOne-on-One interaction with Industry Mentors
  • 100% Placement guarantee - masters in data science india100% Placement guarantee
  • 40+ Live Projects along with Case Studies - masters in data science india40+ Live Projects along with Case Studies
  • Dedicated Career Program Manager - masters in data science indiaDedicated Career Program Manager
  • 360 Degree Career Guidance - masters in data science india360 Degree Career Guidance
  • Ideal for both Fresh Graduates - masters in data science indiaIdeal for both Fresh Graduates & Working Professionals
  • Unique Specializations to choose from - masters in data science indiaUnique Specializations to choose from
  • Prompt Query Resolution - masters in data science indiaPrompt Query Resolution

PG Program in Data Science, Machine Learning & Neural Networks

  1. ₹ 160000
    • Learners - masters in data science india
    • Learners - masters in data science india
    • Learners - masters in data science india
    • Learners - masters in data science india
    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 - masters in data science india
  • Python - masters in data science india
  • Tableau - masters in data science india
  • NLP - masters in data science india
  • SQL server - masters in data science india

What's the focus of this Masters in Data Science India course with placement?

Select from 4 Unique specializations, Live case studies and projects, learn 14+ programming tools & languages, six months of live internship, get mentorship and dedicated career support from industry experts, and much more with the best masters in data science india. The focus is on offering the most affordable fee structure for the masters in data science india.

4 Unique Specializations - masters in data science india

4 Unique Specializations

Choose from 4 unique specializations based on your academic background and career aspirations. Choose an Executive Certification In Data Science, ML & Neural Networks In Collaboration With in India.

Dedicated Career Assistance - masters in data science india

Dedicated Career Assistance

Get a chance to Receive one-to-one career counseling sessions from industry experts and regular extensive mock interviews by hiring managers. Extraordinary growth in your career with our more than 400 hiring associates from various domains of Industry.

Student Support - masters in data science india

Students Support

For instant Query Resolution, chat support is open from 06 AM to 11 PM IST. Our Program Managers are available for call or chat to resolve the student's query, and you can 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

Learn from the real-life industry projects supported by top companies across industries and the most exclusive Masters in Data Science India course fee structure.

  • Learn from working on projects with teammates - masters in data science indiaLearn from working on projects with teammates.
  • Advice and guidance from industry experts - masters in data science indiaAdvice and guidance from industry experts to make the best out of the Masters in Data Science India course.
  • Improve by getting individual feedback - masters in data science indiaImprove by getting individual feedback at every learning step.
Smartphone and Smartwatch Activity - masters in data science india

Smartphone and The Smartwatch Activity

The crude accelerometer & whirligig sensor information is collected from the smartwatch and cell phone at a speed of 20 Hertz.

Recommendation System - masters in data science india

Recommendation System

Products and Services are used by the organization to recommend them to people around the globe.

Air Quality Study - masters in data science india

Air Quality Study

Based on the data mined from the Department of Meteorology. Predicting the quality of air in various parts of India.

Why Choose DataTrained For Masters in Data Science India course with Placement?

We, DataTrained, provide assured guarantee placement Masters in Data Science India postgraduate program in Neural Network, Data Science, and Machine Learning, that is uniquely and differently designed so that students learn the concepts very easily. The program is designed and maintained by top Data Science experts along with experienced industry experts working in top companies in India. The Masters in Data Science India program is developed in a systematic order that students learn from basic to advanced level concepts and wrapped with a theoretical and practical learning process; the program is of 12 months.

Masters in Data Science India is the best and most affordable course so enroll today to make your seat reserved.

Internship - masters in data science india

Masters in Data Science India course at DataTrained provides an internship of 6 months so that the students can call themself experienced Masters in Data Science professionals by working with industry professionals.

Resume Feedback - masters in data science india

Datatrained has collaborated with IIM Jobs for the Top Masters in Data Science India course, which provides a paid resume preparation kit access with personal feedback from their HR department. An individual career profile for candidates is prepared by our experts so that they are fit for data science roles.

Interview Preparation - masters in data science india

Periodic mock test and technical interview preparations by mentors to all enrolled students, along with personal guidance and support. Industry mentors help students to make their resumes look professional by guiding them in doing projects on Kaggle.

Placement - masters in data science india

Campus placements are organized every three months to place our students in the best organization. To our 950+ recruitment partner organizations, we send the student's ability score, which we generated for each of the students.

Career Impact

We, DataTrained, in partnership with , provide the best Masters in Data Science India course. We transformed 150,000+ careers, and the counting is still going on.

The trainers help in understanding the concepts and make algorithms by using real industry data sets. DataTrained comes with a powerful online learning platform and Live sessions, Counseling, a six-month internship, and supporting and dedicated Mentorship.

Aaruni Khare, Data Scientist, RBS - masters in data science india
Aruni Khare Data Scientist, RBS

I saw on Facebook an advertisement from DataTrained on Facebook, and I contacted them immediately and enquired about their Data Science online course. The counselor helped through the whole journey of what they are doing and what data science is learning. After continuing the conversation for a few weeks, I was sure enough about the course structure, and now I am sure about where I needed to invest my money and hard work.

Rakshit Jain, Data Scientist, Optum - masters in data science india
Rakshit Jain Data Scientist, Optum

The program is a well-balanced blend of weekend live sessions, pre-recorded classes, and sent to my address printed study material. My mentor Amit Kaushik assisted me in gaining confidence and helped me in on-time assignment completion. I am about to complete the data science course and have been able to crack the Glenmark interview. DataTrained, Thank you so much.

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

Average Salary Hike

Upto 25LPA Highest Salary - masters in data science india Upto 25LPA

Highest Salary

7k+ Jobs Sourced  - masters in data science india 7k+

Jobs Sourced

950+ Hiring Partners  - masters in data science india 950+

Hiring Partners

Admission Process

The process for admission is very simple and completed in 3 steps as described here.

Step 1: Fill in a Query Form

Fill out the Query Form, our counselors will contact you & understand your eligibility for Masters in Data Science India course.

Step 2: Get Shortlisted and Receive a Call

We will send a confirmation email once your profile has been qualified upon review by our admission team.

Step 3: Book your Seat and Start the Prep Course

Reserve your seat by completing all registration and payment processes. Begin your Data Science learning by starting with a Prep course.

Data Science Course Fee

₹ 160000 + GST

No Cost EMI options are also available. *

masters in data science india fees

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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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Masters in Data Science India Trends

The new trends in data science suggest that there is a new angle for viewing data. Data is now no longer a science reserved for a select group of specialists. Still, it has become an invaluable opportunity for every professional within a business to improve and refine their practice. Masters in Data Science India course with placement help you in getting the most happening career of the 21st century.

Masters in Data Science scientists are always in demand in India, with career growth in an upward direction, and the most lucrative thing is it is the highest paying job working in top MNCs. Teams and businesses who are opting for data science will make the best in 2022 and the coming years.

Jobs/Vacancies in the field of Masters in Data Science India

India is witnessing a rapid change in the digitization of services and businesses, making data science the world's 2nd-largest hub. In India, there are around 93,000 jobs in Data Science at the end of August 2021.

Analytics and Data Science jobs/vacancies increased by 30% in April 2021 compared to April 2022.

For the 5th time, India became one of the top countries for a Masters in Data Science India. Masters in Data Science Scientist Salary in India as per AmbitionBox is 597 salaries. The 70% of vacancies were for people having experience of fewer than five years. Transforming to data science is smart as it fetches far higher comparative returns.

Salary in India for Masters in Data Science Professionals

Masters in Data Science Scientist salary in India ranges from ₹4 Lakhs - ₹22.1 Lakhs, coming with an average yearly salary of ₹10.4 Lks. After getting your Post Graduate certificate, you can expect an annual salary hike of around 13 to 25%.

Only utilizing 4 to 5 hrs per week To attain specialization in Data Science and ML gives multiple returns, providing ground to professionals to extend their careers.

Masters in Data Science India Course with Placement

India is a highly populated country with an efficient and intelligent workforce. Every year India produces highly qualified graduates with brilliant minds and ideas. Delhi is the capital of India. India is divided into four directions: north, east, west, and south. India starts from Kashmir in the north to Kanyakumari in the south. There are a total of 28 states and eight union territories.

India has an area of 3,287,590 square km, with different languages, traditions, and cultures, but India is a united country. Population of India is 1,417,713,73 as per 2021 data. Popular cities in India are:

Frequently Asked Questions

Masters in Data Science India is one of the most demanding courses as this domain has high career growth and reputation. DataTrained provides the best Masters in data science India course, which is encapsulated with a six-month internship to make you an experienced candidate, live sessions, working on projects with industry experts, and much more to go. The course is developed with the collaboration of and other best industry experts. The Masters in Data Science India course focuses on the overall growth of students by boosting them with mentors and career guidance. The course is at a much more affordable price which guarantees 100% placement by organizing rapid campus recruitment. The Masters in Data Science India course by DataTrained is the best master's degree program in India.

Yes, DataTrained provided a Masters in Data Science India course at an affordable price and assured 100% placement of the enrolled students. The Masters in Data Science India course is developed in a manner that a student understands all concepts of data science very easily and can implement them in real life. The Masters in Data Science India has the following highlights:

  • 12-month program
  • Live sessions with expert feedback.
  • Industry Expert Mentors
  • Six-month internship.
  • Online learning mode.
  • Four unique specializations to choose the best fit.
  • Practical and theoretical knowledge
  • Anytime student support system

The only requirement is passion in students and the determination to learn things. DataTrained with designed the Masters in DataScience course covering all theoretical and practical concepts related to data science. The master's course has four specializations that help students decide which is best and required for their respective academics.

Definitely, it is worth choosing a Masters in Data Science India course, and this course will help you to scale up your career graph and provide tremendous career growth due to its increasing demand in the present and future. As per data, there are 93,000 jobs in Data Science at the end of August 2021, which is not a small number to ignore. The average salary of Masters in data science India is Rs 10.4 lakh which is quite good.

Masters in Data Science India is a demanding career because data science deals with separating useful data from the large data set, and we can see data is everywhere; we need experts to use their knowledge to filter the required data from non-required.

Yes, we provide a 100% placement guarantee as we have a recruitment team that organizes campus drives every three months and also we make a student ability scorecard and send it to our 950+ partnered recruitment organizations that help students in getting the job. Also, we create professional resumes from industry experts to make the hiring process fast.

Yes, you can become an industry-ready data scientist with our Masters in Data Science India course. Our master in data science India course is of 12 months and is effectively developed by various industry experts with data scientists. We emphasize the overall development of the student by providing the following facilities in our Masters in data science India course:

  • Providing regular feedback from experts.
  • Industry mentors.
  • Online learning from anywhere.
  • Live working projects.
  • Practical and theoretical knowledge.
  • Anytime ready to help service students.

Here, students need to devote only 4-5 hours weekly and show full determination during the learning process. The fee structure is affordable and has a 100% placement guarantee. One can become a data scientist if he is determined to do so, and we, DataTrained, will help you every time with our team, industry experts, and a highly structured Master in Data Science India course.

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.