Foundation and Advance concepts of Data Science and Machine Learning

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Let the transformation begin!

The program has been designed taking under consideration the requirement from BFSI sector, health analytics, Information & technology and as well as supply chain and operations analytics domain. This program enables a candidate to get a kick start in their career with Data science domain. Organisations have huge requirements for Data Scientist, Machine Learning Engineer, Business analyst, Analytics Engineer and Data analyst. This program is build to make a candidate proficient with every aspect of Data Visualisation.

Course Curriculum

Introduction to Data Science
  • Introduction
  • Introduction to Python
  • Python Environment
  • Executing Python
  • Python Basic Syntax
  • Python Variable Types
  • Python Basic Operators
  • Python Decision Making
  • Python Loops
  • Python Numbers
  • Python Strings
  • Python Lists
  • Python Tuples
  • Python Dictionary
  • Python Functions
  • Python Modules
  • Python Files I/O
  • Python Exceptions
  • Python Classes and Objects
  • Functional Programming
  • Iterators and Generators
  • Collections
  • Debugging, Testing
  • Regular Expressions
  • Deploying Python Applications
Data Wrangling
  • Black Box Introduction to Machine Learning
  • Essential NumPy
  • Pandas for Machine Learning
  • Understanding Visualization
Mathematics Fundamentals
  • Essential Maths
  • Basic Statistics
  • Advance Statistics
Machine Learning
  • Linear Models for Classification
  • Preprocessing for Machine Learning
  • Decision Trees
  • Naive Bayes
  • Composite Estimators using PipelinesModel Selection
  • Model Selection
  • Feature Selection
  • Nearest Neighbours
  • Clustering Techniques
  • Anomaly Detection
  • Support Vector Machines
  • Dealing with Imbalanced Classes
  • Ensemble Methods
  • Recommendation Engine
  • Time Series Modeling
  • Packaging
Big Data Ecosystem
  • Introduction to Big Data
  • Internal Details of Spark
  • Foundations of Spark using RDD
  • Data Wrangling using Data Frames
  • Packaging

Features of the Program

The extensive training program comprises of certain key features to ensure an organic, productive and successful growth for a Learner.  


250+ hours of end-to-end learning, study material and references along with recorded lectures and live classes

Projects & Assignments

35+ industry oriented assignments and 30+ live projects with Industrial Mentor-ship and support

Career support

A strong portfolio with a trendy resume always gives an extra edge in an interview along with guidance and suggestions for better portfolio building.


24*7 Email support is provided so that a candidate does not have to wait long for query resolutions. Support care is also available through telephones in case of escalated queries. 

MIT and Stanford Certified course

Candidates enrolling for this program gets to learn from the top professionals of the industry on the curriculum approved from top universities in the world like MIT and Stanford while getting a Certification of completion from Modulus in association with all our partners. 

5 Interviews

With a corporate network and long term relation with our hiring partners, we get our candidates allocated with 5 technical interviews in different organisations based on their calibre and performance during the program.

5 Live Projects

Practical based learning and relevant Hands-on experience is a very important feature for this training program. Every candidate gets 5 live industry projects along with many capstone projects to acquire the practical knowledge as well and build a stronger portfolio. 

Why Join the Program?


Alumni have transitioned to Data Science and analytics roles


is the average salary hike post certification through us.


Job opportunities for Data Scientist and the number keeps on increasing every year

The learning has already begun. Are you ready for the future?

Mode of Learning- Online

Course Duration- 6 months

Access to the platform-  12 months


  Inventico Infotech Private Limited

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