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PG Certification in Data Science and Machine Learning

Our course is designed to enhance your knowledge and understanding of two of the most sought-after career fields, Data Science and Machine Learning. Here, you will gain expert knowledge of Python, data wrangling, prediction algorithms, etc., through live classes conducted by MNIT faculty and industry specialists and by implementing this knowledge in real-life projects.

In collaboration with


Learning Format


202 Hrs Live Classes

12 Months


Alumni status

3 Guaranteed



Hiring Partners

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About Program

This online Data Science and Machine Learning training program is curated by experts to make you proficient in leading tools and technologies in these IT sectors through industry-grade projects.

Key Highlights

202 Hrs Instructor Led Training
154 Hrs Self-paced Videos
404 Hrs Project & Exercises
PG Certification by E&ICT Academy, MNIT
3 Guaranteed Interviews & 1:1 Mentor Support
24*7 Support
Executive Alumni Status
Live classes from MNIT faculty

Free Career Counselling

We are happy to help you 24/7

About E&ICT MNIT, Jaipur

Electronics & ICT Academy MNIT, Jaipur (E&ICT MNIT, Jaipur) is an initiative supported by MeitY, Govt of India. The courses provided by us lay an emphasis on bridging the gap between industry demand and academic approach to learning and provide a foundation to build your career in top IT companies.

In this program, you will:

  • Receive PG certificate from E&ICT, MNIT & Intellipaat
  • Alumni status of  E&ICT, MNIT
  • Receive live lectures from the MNIT faculty

Key Achievement of MNIT, Jaipur

  • Ranked 35 in NIRF 2020 Ranking among top engineering colleges
  • Ranked 23 by the Week in 2020 for engineering

About IBM & Microsoft

IBM and Microsoft are two of the biggest names and leading innovators when it comes to Machine Learning and Artificial Intelligence tools. The course is led by some of the experts who will take you through all the crucial concepts and essential skills required in the domain and get you started on projectsRead More..

Benefits for students from this IBM and Microsoft collaboration:

  • Official study material from Microsoft for SQL certification
  • Industry-recognized IBM certification and SQL certification from Microsoft
  • Access to IBM Watson for hands-on training and practice
  • E-learning course from IBM with exercises

Who Can Apply for the Course?

  • Individuals with a bachelor’s degree and a keen interest to learn ML and Data Science
  • IT professionals looking for a career transition as Data Scientists and Machine Learning Engineers
  • Professionals aiming to move ahead in their IT career
  • Machine Learning and Business Intelligence professionals
  • Developers and Project Managers
  • Freshers who aspire to build their career in the field of Machine Learning and Data Science
Who can aaply

What roles can a Data Science & Machine Learning Professional play?

Senior Data Scientist

Understand the issues and create models based on the data gathered, and also manage a team of Data Scientists.

AI Expert

Build strategies on frameworks and technologies to develop AI solutions and help the organization prosper.

Machine Learning Expert

With the help of several Machine Learning tools and technologies, build statistical models with huge chunks of business data.

Applied Scientist

Design and build Machine Learning models to derive intelligence for the numerous services and products offered by the organization.

Big Data Specialist

Create and manage pluggable service-based frameworks that are customized in order to import, cleanse, transform, and validate data.

Senior Business Analyst

Extract data from the respective sources to perform business analysis, and generate reports, dashboards, and metrics to monitor the company’s performance.

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Skills to Master


Data Science

Data Wrangling


Story Telling

Machine Learning

Prediction algorithms

Software Engineering




Data visualization

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Tools to Master

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Meet Your Mentors


Live Course Self Paced

Core Python programming concepts like classes, objects, and functions will be taught to the learners in this module.

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In this module, you will get acquainted with the various libraries and functions in Python to help you understand the Data Science and Machine Learning concepts better.

2.1 PySpark
2.2 Python
2.3 NumPy
2.4 SciPy
2.5 Matplotlib
2.6 Pandas
2.7 Python script
2.8 Python variables

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Tools covered

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SQL is the most important skill required by the data scientist or data engineers. You will learn in detail about the process of data collection, data wrangling, and data cleaning with the help of SQL.

3.1 Collect raw data and clean it
3.2 Use SQL to perform data wrangling
3.3 Relational and non-relational databases
3.4 Use of APIs to gather data

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Tools covered

Tools Covered

As a Data Scientist, it is important to know how to design and build algorithms and analyze data. However, it is also important to explain that data in a story-like manner so that the members of the organization can understand the data and what information you have gathered from the same. This module will help you learn exactly that.

4.1 Practice Data Science concepts by building a story from data set
4.2 Develop questions that can be answered by the data set
4.3 Gain insights into the data using various plotting techniques and build a story

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In this module, you will master all the significant modules, concepts, and techniques to help you gain expertise in the field of Machine Learning. Also, you will learn in detail about the various prediction algorithms that are part of this technology.

5.1 Linear regression techniques
5.2 Logistic regression techniques
5.3 Supervised learning
5.4 Unsupervised learning
5.5 Ensemble techniques

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Tools covered

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Apart from designing algorithms and crunching data, Data Science and Machine Learning experts are also required to write code and build software. In this module, you will learn to write the software code which will help you master the development of software prototypes and make them production-ready.

6.1 Coding
6.2 Testing
6.3 Debugging
6.4 Working with production systems

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You have gained knowledge of the basic modules in Machine Learning and its various techniques. In this module, you will master the advanced-level techniques in this domain to prepare you for real-world scenarios.

7.1 Text mining
7.2 Social networking analysis
7.3 Recommendation systems
7.4 Time-series analysis

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Tools covered

Tools Covered Tools Covered

Natural Language Processing (NLP) and deep learning are a significant part of Machine Learning and Artificial Intelligence. This module will cover the various concepts and applications of deep learning and NLP.

8.1 Applications of NLP
8.2 Deep learning fundamentals

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In this Data Science with PySpark module, our experts will teach you the numerous techniques involved in the field of Data Science using PySpark.

9.1 What is PySpark?
9.2 Need of Spark with Python
9.3 Fundamentals of PySpark
9.4 Advantages of PySpark over MapReduce
9.5 Use of PySpark in Data Science and Machine Learning

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Tools covered

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It is important to learn to design and develop models to become a professional in Machine Learning. This module covers that, along with the numerous techniques involved in model and parameter tuning.

10.1 Model tuning
10.2 Parameters and hyper-parameters
10.3 Hyper-parameter tuning
10.4 Types of hyper-parameter tuning
10.5 Deployment of model
10.6 Strategy for model deployment
10.7 Steps in model deployment

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Data visualization plays a significant role in Data Science and Machine Learning. This module will help you become an expert in visualizing data with the help of one of the most popular and in-demand data visualization tools, Tableau.

11.1 Data visualization and Tableau

  • What is data visualization?
  • Installing Tableau

11.2 Tableau architecture

  • Architecture and interface of Tableau
  • Saving and publishing a data source
  • Live vs extract connection

11.3 Graphs and charts

  • Basic ChartsHistograms, box plot, motion, pie, bar, line, bubble, bullet, scatter, tree, heat maps, text table, and highlighted table
  • Dual axes graphsPareto, funnel, waterfall charts, and market basket analysis

11.4 Data blending and metadata

  • Connecting to a data source, like MS Excel
  • Management of metadata and extracts
  • Joins and Union
  • Dealing with NULL values, cross-database joining, data extraction, data blending, refresh extraction, incremental extraction, how to build extract, etc.

11.5 Advanced data manipulations

  • Groups, sets, and bins
  • Hierarchies and folders
  • Formatting pane for menu, fonts, alignments, settings, etc.
  • Editing axes and annotations

11.6 Filters

11.7 Data organization and visual analytics

  • K-means cluster analysis
  • Trend and reference lines
  • Visual analytics
  • Forecasting, confidence interval, reference lines, and bands

11.8 Mapping

  • Working on coordinate points
  • Plotting longitude and latitude
  • Editing unrecognized locations
  • Customizing geocoding, polygon maps, WMS
  • Working on the background image
  • Plotting points on images and generating coordinates
  • Map visualization and custom territories

11.9 Expressions, calculations, and parameters

  • Calculation syntax and functions
  • The creation of calculated fields
  • Quick LODs and parameters
  • Column and chart selection parameters
  • Parameters in the reference line

11.10 Dashboards and stories

  • Building and formatting a dashboard using size, objects, views, filters, and legends
  • Adding annotations with descriptions
  • Highlight actions, URL actions, and filter actions

11.11 Tableau prep

  • Use of Tableau Prep to combine join, shape, and clean data for analysis
  • Integrating Tableau Prep with Tableau analytical workflow

11.12 Implementing R in Tableau

  • R functions in Tableau
  • Integration of Tableau with Hadoop
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Tools covered

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After the Data Science and Machine Learning program, you will get the opportunity to validate your skills and gain industry experience through a real-time capstone project that will make you use the skills that you have acquired across all the courses in this program.

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13.1 Introduction to R
13.2 R packages
13.3 Sorting DataFrame
13.4 Matrices and vectors
13.5 Reading data from external files
13.6 Generating plots
13.7 Analysis of Variance (ANOVA)
13.8 K-means clustering
13.9 Association rule mining
13.10 Regression in R
13.11 Analyzing relationship with regression
13.12 Advanced regression
13.13 Logistic Regression
13.14 Advanced Logistic Regression
13.15 Receiver Operating Characteristic (ROC)
13.16 Kolmogorov-Smirnov chart
13.17 Database connectivity with R
13.18 Integrating R with Hadoop

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14.1 Introduction to Deep Learning and Neural Networks
14.2 Multi-layered Neural Networks
14.3 Artificial Neural Networks and Various Methods
14.4 Deep Learning Libraries
14.5 Keras API
14.6 TFLearn API for TensorFlow
14.7 Dnns (deep neural networks)
14.8 Cnns (convolutional neural networks)
14.9 Rnns (recurrent neural networks)
14.10 Gpu in Deep Learning
14.11 Autoencoders and restricted boltzmann machine (rbm)
14.12 Deep Learning applications
14.13 Chatbots

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Program Highlights

202 Hours of live training
154 Hours of Self-paced video
404 Hours of Guided projects
24/7 Lifetime support

Interested in This Program? Secure your spot now.

The application is free and takes just 10-15 minutes to complete.

Project Work

Projects will be a part of your PG Certification in Data Science and Machine Learning to consolidate your learning. It will ensure that you have real-world experience in Data Science and ML.

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!

Career Services By Intellipaat

Career Services

Career Oriented Sessions

Throughout the course

Over 20+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.


Resume & LinkedIn Profile Building

After 70% of course completion

Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage


Mock Interview Preparation

After 80% of the course completion.

Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.


1 on 1 Career Mentoring Sessions

After 90% of the course completion

Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.


3 Guaranteed Interviews

After 80% of the course completion

Guaranteed 3 job interviews upon submission of projects and assignments. Get interviewed by our 400+ hiring partners.


Exclusive access to Intellipaat Job portal

After 80% of the course completion

Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

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Admission Details

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.

Submit Application

Submit Application

Tell us a bit about yourself and why you want to join this program

Application Review

Application Review

An admission panel will shortlist candidates based on their application


Application Review

Selected candidates will be notified within 1–2 weeks

Program Fee

Total Admission Fee

$ 1,492

Get a chance to win a early bird discount of up to $ 88/-

Frequently Asked Questions

Why enroll in this Data Science and Machine Learning PG certification course?

This online PG certification program in Machine Learning and Data Science is led by top professionals from MNIT and experts in the field. Their main goal is to make you proficient in the various concepts, skills, and techniques involved in the field of Data Science and Machine Learning and keep you on track with the latest market demands and technology advancements.

After the course, you will receive a course completion certificate from E&ICT Academy, MNIT Jaipur. Moreover, you will be awarded an industry-recognized certificate from IBM and Microsoft.

The trainers of the PG certification in Data Science and ML course are top professors from MNIT and experts from top industries across the world. They are selected after going through a rigorous process where their skills, knowledge, and teaching ability are tested so that we can provide you with the best training experience.

This is completely an online course conducted by our experienced trainers from MNIT, Jaipur.

In case you fail to attend one or more live lectures, you will receive the recording of the session within the next 12 hours. Besides, if you require any other assistance, you will have access to our 24/7 online assistance platform.

Once you complete the course, execute the projects, and meet all the requirements, you will receive a joint PG certification from E&ICT and MNIT, Jaipur, along with certifications from IBM and Microsoft.

After completing the course, you will have the eligibility to go through several mock interview sessions to prepare for your job interview, along with resume preparation. Moreover, you will get at least 3 interviews scheduled from our 200+ global hiring partners.

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What is included in this course?

  • Non-biased career guidance
  • Counselling based on your skills and preference
  • No repetitive calls, only as per convenience
  • Rigorous curriculum designed by industry experts
  • Complete this program while you work

I’m Interested in This Program

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