Call Us
You’re viewing the India page. View the USA version →

Home / Data Science & Deep Learning / Data Science Course In India

Data Science Course In India

Become a Data Scientist and learn Statistical Analysis, Machine Learning, Predictive Analytics, and many more.
data science certification course training data science certification course training
  • Accredited by SUNY, NASSCOM, Approved by Government of India
  • 184 Hours of Intensive Classroom & Online Sessions
  • 1 Capstone Live Project
  • Job Assistance
  • Enroll and avail Government of India (GOI) Incentives after successfully clearing the mandatory Future Skills Prime Assessment
Enquire Now
data science course reviews - 360digitmg

485 Reviews

data science course reviews - 360digitmg

2064 Learners

Academic Partners & International Accreditations

360DigiTMG Certified Data Science Program in association with Future Skills Prime accredited by NASSCOM, approved by the Government of India. The Data Science course using Python and R endorses the CRISP-ML(Q) Project Management methodology and contains all the preliminary introduction needed. Students will grapple with Plots, Inferential Statistics, and Probability Distributions in this course. The core modules commence with a focus on Hypothesis Testing and the "4" must-know hypothesis tests. Data Mining Unsupervised Learning, Recommendation Engines, and Network Analytics with various Machine Learning algorithms, Text Mining, Natural Language Processing, Naive Bayes, Perceptron, and Multilayer Perceptron are dealt with in detail in the course.

Course Fee

Data Science Course Programme Overview

This Data Science Course using Python and R endorses the CRISP-ML(Q) Project Management methodology and contains a preliminary introduction of the same. Data Science is a 90% statistical analysis and it is only fair that the premier modules should bear an introduction to Statistical Data Business Intelligence and Data Visualization techniques. Students will grapple with Plots, Inferential Statistics, and various Probability Distributions in the module. A brief exposition on Exploratory Data Analysis/ Descriptive Analytics is huddled in between. The core modules commence with a focus on Hypothesis Testing and the "4" must know hypothesis tests. Data Mining with Supervised Learning and the use of Linear Regression and OLS to enable the same find mention in succeeding modules. The prominent use of Multiple Linear Regression to build Prediction Models is elaborated. The theory behind Lasso and Ridge Regressions, Logistic Regression, Multinomial Regression, and Advanced Regression For Count Data is discussed in the subsequent modules.

A separate module is devoted to Data Mining Unsupervised Learning where the techniques of Clustering, Dimension Reduction, and Association Rules are elaborated. The nitty-gritty of Recommendation Engines and Network Analytics are detailed in the following modules. The various Machine Learning algorithms follow next like k-NN Classifier, Decision Tree and Random Forest, Ensemble Techniques, Bagging and Boosting, Adaboost, and Extreme Gradient Boosting. Text Mining, Natural Language Processing, Naive Bayes, Perceptron, and Multilayer Perceptron are the focal points of the succeeding modules.

The fundamentals of Neural Network ANN and Deep Learning Black Box Techniques like CNN, RNN, and SVM find prominent features as well. The concluding modules contain model-driven and data-driven algorithms for Forecasting and Time Series Analysis.

What is Data Science?

Data science is an amalgam of methods derived from statistics, Data Analysis, and Machine Learning that are trained to extract and analyze huge volumes of structured and unstructured data.

Who is a Data Scientist?

A Data Scientist is a researcher who has to prepare huge volumes of big data for analysis, build complex quantitative algorithms to organize and synthesize the information, and present the findings with compelling visualizations to senior management.

A Data Scientist enhances business decision making by introducing greater speed and better direction to the entire process.

A Data Scientist must be a person who loves playing with numbers and figures. A strong analytical mindset coupled with strong industrial knowledge is the skill set most desired in a data scientist. He must possess above the average communication skills and must be adept in communicating the technical concepts to non - technical people. Data Scientists need a strong foundation in Statistics, Mathematics, Linear Algebra, Computer Programming, Data Warehousing, Mining, and modeling to build winning algorithms.

Having proficiency in tools such as Python, R, R Studio, Hadoop, MapReduce, Apache Spark, Apache Pig, Java, NoSQL database, Cloud Computing, Tableau, and SAS is beneficial, but not mandatory.

Data Science Training Learning Outcomes

The Data Science using Python and R commences with an introduction to statistics, probability, python and R programming, and Exploratory Data Analysis. Participants will engage with the concepts of Data Mining Supervised Learning with Linear regression and Predictive Modelling with Multiple Linear Regression techniques. Data Mining Unsupervised using Clustering, Dimension Reduction, and Association Rules is also dealt with in detail. A module is dedicated to scripting Machine Learning algorithms and enabling Deep Learning and Neural Networks with Black Box techniques and SVM. Learn to perform proactive forecasting and Time Series Analysis with algorithms scripted in Python and R. in the best data science training institute in India.

  • Work with various data generation sources
  • Perform Text Mining to generate Customer Sentiment Analysis
  • Analyse structured and unstructured data using different tools and techniques
  • Develop an understanding of Descriptive and Predictive Analytics
  • Apply Data-driven, Machine Learning approaches for business decisions
  • Build models for day-to-day applicability
  • Perform Forecasting to take proactive business decisions
  • Use Data Concepts to represent data for easy understanding

Data Science Course Syllabus

This Data Science Program follows the CRISP-ML(Q) Methodology. The premier modules are devoted to a foundational perspective of Statistics, Mathematics, Business Intelligence, and Exploratory Data Analysis. The successive modules deal with Probability Distribution, Hypothesis Testing, Data Mining Supervised, Predictive Modelling - Multiple Linear Regression, Lasso And Ridge Regression, Logistic Regression, Multinomial Regression, and Ordinal Regression. Later modules deal with Data Mining Unsupervised Learning, Recommendation Engines, Network Analytics, Machine Learning, Decision Tree and Random Forest, Text Mining, and Natural Language Processing. The final modules deal with Machine Learning - classifier techniques, Perceptron, Multilayer Perceptron, Neural Networks, Deep Learning Black-Box Techniques, SVM, Forecasting, and Time Series algorithms. This is the most enriching training program in terms of the array of topics covered.

Modules for Live Instructor Led Training

  • Prompt Engineering & Context Engineering
  • GenAI
  • AgenticAI, MCP, A2A
  • Beyond Vibe Coding- Vibe Coding Bootcamp
  • AI Systems Performance Engineering

  • CRISP-ML(Q)
  • EDA using AutoEDA with Vibe Coding
  • Coding best practices
  • Data Preprocessing using Auto Data Prep Libraries
  • Vibe Coding with Coding best practices

  • Data Analytics on Big Data using PySpark with Agentic Coding
  • Data Analytics using Parallel processing Effective compute utilization

  • Introduction to Text-to-SQL, AI SQL Copilots & IDEs - 60 mins
  • Building with Open Source, Security & Governance - 60 mins

  • Modern Data Platforms for AI
  • AI driven Infrastructure as Code (IaC) and cloud automation
  • MLOps using Open Source Stack
  • MLOps on AWS
  • MLOps on Azure
  • MLOps on GCP
  • MLOps on Databricks

  • Supervised & Unsupervised Learning
  • Clustering & Segmentation
  • K-Means
  • Flask Deployment
  • Decision Tree Classifier
  • Decision Tree Regressor
  • Decision Tree Code
  • Ensemble Methods
  • Boosting
  • Random Forest Code
  • XGBoost Code
  • Regression Techniques
  • Probability Distributions
  • Logistic Regression
  • Claimants Dataset
  • Advanced Time Series

Graph Analytics and Deep Learnings

  • GenAI Part 1 Transformers
  • GenAI Part 2 LMM
  • GenAI Part 3
  • Agentic AI
Modules for Self Paced Learning

Python-21 Hours

EDA-23 Hours

SQL-18 Hours

Power BI-17 Hours

PySpark-10 Hours

DE Essentials-17 Hours

AI Full Length-30 Hours

Tools Covered

  • data science course using python

  • data science course using r programming

  • data science course using r studio programming

  • data science course with keras tool

  • data science course with jupyter

  • data science course with pytorch

  • data science course with Tensor flow tool

  • data science with spyder

  • data science with numpy tool

  • data science with pandas

  • data science course scikit

  • data science course with scipy

GenAI assistants and models

  • ChatGPT
  • Claude
  • Gemini
  • Llama
  • Perplexity

AI-assisted and vibe coding

  • GitHub Copilot
  • Cursor
  • Claude Code
  • Replit

Agentic AI frameworks

  • LangChain
  • Hugging Face
  • Ollama

Zero-code AI automation

  • n8n
  • Zapier
  • Make

Deploy and MLOps

  • MLflow
  • Streamlit
  • Docker
  • Databricks
  • AWS
  • Google Cloud

Why you should take this Program

  • The Certified Data Science is in association with Future Skills Prime accredited by NASSCOM, approved by the Government of India
  • The curriculum is developed keeping in mind the trending tools and techniques that will make the student stand out in the hiring process.
  • The learner will be able to earn a Joint Co-Branded Certificate of Participation by 360DigiTMG and Future Skills Prime
  • The course is divided into different modules and each module gives students a thorough insight into all the important techniques that will make the learning process seamless and effective.
  • 300 plus hours of online classes with capstone live project and 60 plus hours of assignments.
  • The learner is eligible for Government of India (GOI) incentives after succesfully clearing the mandatory Future Skills Prime Assessment. For more details please visit: https://futureskillsPrime.in/govt-of-India-incentives.
  • Learners will get access to multiple resources like NASSCOM Career Fair, NASSCOM industry events, Bootcamps, Career guidance sessions, etc.
  • Learners will be eligible to apply for jobs and get job assistance through the Talent Connect Portal of Future Skills Prime.

 

Learner's Journey

data science

 

data science using python & r certification - 360digitmg

Bronze – NOS wise pass and 50% - 59% percent pass overall

data science using python & r certification - 360digitmg

Silver – NOS wise pass and 60% - 69% percent overall

data science using python & r certification - 360digitmg

Gold – NOS wise pass and >=70% pass overall

Course Fee Details

Classroom Training

Mode of training: Classroom

  • Limited seats for classroom
  • Avail Monthly EMI at zero Interest Rate
  • Lifetime validity for LMS access
  • 20+ live hours of industry masterclasses from leading academicians and faculty from FT top 20 universities
  • Career support services

INR 47,500

Pay Now

Learners 2064 Learners

Rating 485 Reviews

Virtual Instructor-led Training (VILT)

Mode of training: Live Online

  • Live online classes - weekends & weekdays
  • 365 days of access to online classes
  • Avail Monthly EMI At zero Interest Rate
  • Lifetime validity for LMS acces
  • 20+ live hours of industry masterclasses from leading academicians and faculty from FT top 20 universities
  • Career support services

INR 47,500

Pay Now

Learners 2064 Learners

Rating 485 Reviews

Employee Upskilling

Mode of training: Onsite or Live Online

  • On site or virtual based sessions
  • Customised Course
  • Curriculum with industry relevant use cases
  • Pre & Post assessment service
  • Complimentary basic Courses
  • Corporate based learning management system with team and individual dashboard and reports

Learners 2064 Learners

Rating 485 Reviews

Payment Accepted

Payment Accepted

All prices are applicable with 18% taxes.

Why Choose 360DigiTMG for Data Science Training Institute?

data science certification in - 360digitmg
data science certification in - 360digitmg

Call us Today!

cal-p.png +91 9989994319

Limited seats available. Book now

Certificate

Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science Certificate is your passport to an accelerated career path.

data science using python & r certification - 360digitmg
data science using python & r certification - 360digitmg

Recommended Programmes

Alumni Speak

"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”

Pavan Satya

Pavan Satya

Senior Software Engineer

"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."

Chetan Reddy

Chetan Reddy

Data Scientist

"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”

Santosh Kumar

Santosh Kumar

Business Intelligence Analyst

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Kadar Nagole

Data Scientist

"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”

Gowtham R

Gowtham R

Data Engineer

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

Wan Muhamad Taufik

Associate Data Scientist

"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”

Venu Panjarla

Venu Panjarla

AVP Technology

Our Alumni Work At

Our Alumni

And more...

FAQs for Data Science Course Training in India

After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.

Different organisations use different terms for data professionals. You will sometimes find these terms being used interchangeably. Though there are no hard rules that distinguish one from another, you should get the role descriptions clarified before you join an organisation.

With growing demand, there is a scarcity of Data Science Professionals in the market. If you can demonstrate strong knowledge of Data Science concepts and algorithms, then there is a high chance for you to be able to make a career in this profession.

360DigiTMG provides internship opportunities through AiSPRY, our consulting partner for deserving participants to help them gain real-life experience. This greatly helps students to bridge the gap between theory and practical.

While there are a number of roles pertaining to Data Professionals, most of the responsibilities overlap. However, the following are some basic job descriptions for each of these roles.

 

As a Data Analyst, you will be dealing with Data Cleansing, Exploratory Data Analysis and Data Visualisation, among other functions. The functions pertain more to the use and analysis of historical data for understanding the current state.

 

As a Data Scientist, you will be building algorithms to solve business problems using statistical tools such as Python, R, SAS, STATA, Matlab, Minitab, KNIME, Weka etc. A Data Scientist also performs predictive modelling to facilitate proactive decision-making.

 

A Data Engineer primarily does programming using Spark, Python, R etc. It often compliments the role of a Data Scientist.

 

A Data Architect has a much broader role that involves establishing the hardware and software infrastructure needed for an organisation to perform Data Analysis. They help in selecting the right database, servers, network architecture, GPUs, cores, memory, hard disk etc.

In this blended programme, you will be attending 184 hours of classroom sessions of 6 months. After completion, you will have access to the online Learning Management System for another three months for recorded videos and assignments. The total duration of assignments to be completed online is 150+ hour. Besides this, you will be working on 2 live projects for a month.

There are plenty of jobs available for data professionals. Once you complete the training, assignments and the live projects, we will send your resume to the organisations with whom we have formal agreements on job assistance.

We also conduct webinars to help you with your resume and job interviews. We cover all aspects of post-training activities that are required to get a successful placement.

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

We assign mentors to each student in this programme. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

No, the cost of the certificate is included in the programme package.

Jobs in the field of Data Analytics in India

Field of Data Science Jobs in India

There are currently around 93,500 vacant data science positions in India. This high demand highlights the increasing opportunities in the field, especially for freshers, who account for 21% of these roles. Prominent employers include major companies like Tech Mahindra, TCS, Genpact, Wipro, and HCL Infosystems.

Salaries in India for Data analytics

Salaries for Data Science in India

The average salary of a Data Scientists in India is Rs.8 lakhs per annum. Freshers can expect Rs. 2.5-4 lakhs, junior Data Scientists earn around Rs. 6 lakhs, and senior professionals can make up to Rs. 12 lakhs annually.

Data Analytics training Projects in India

Projects for Data Science in India

The Indian government has launched numerous data science projects spanning Agriculture, Electricity, Healthcare, Education, Road Traffic Safety, and Air Pollution. These initiatives leverage data science to drive informed decision-making and address critical challenges across various sectors.

Role of Open Source Tools in data Analytics training in India

Role Of Open Source Tools In Data Science

Python's open-source nature empowers Data Science with accessibility and versatility. Its extensive libraries support tasks from Big Data Analytics to Machine Learning, while R excels in data storage and statistical analysis.

Modes of Training for Data Analytics training in India

Modes of Training for Data Science

The course in India is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.

Industry Application of Data Analytics training in India

Industry Applications of Data Science

Data Science finds wide-ranging applications across industries, from finance for fraud detection to healthcare for predictive analytics, demonstrating its pivotal role in informing decision-making and driving innovation.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.

Student Voices

4.8

5 Stars
4 Stars
3 Stars
2 Stars
1 Stars

Data Science Training Institutes in Other Locations

Domain Analytics

Data Science

Emerging Technologies

Disclaimer

By visiting the website 360DigiTMG, viewing, accessing, or otherwise using any of the information collected, created, or compiled by 360DigiTMG, you agree to be bound to the terms and conditions of the company. By acknowledging these terms you are legally bound to 360DigiTMG and the use of the website shall indicate your conclusive acceptance of this agreement.

Make an Enquiry
Call Us