Foundation and Advance concepts of Data Science and Machine Learning

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

Python

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.

Learning

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.

Support

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?

1500+

Alumni have transitioned to Data Science and analytics roles

50%

is the average salary hike post certification through us.

300000+

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

Enroll Now