Online PGCP in Data Science and Machine Learning - MAHE

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Online PGCP in Data Science and Machine Learning from MAHE helps learners master trending data science & machine learning tools & techniques such as Python programming, database management & SQL, statistical techniques for data science, EDA & feature engineering, and data visualization. This comprehensive 9-month program provides learners with hands-on experience through 7 intensive micro-projects & 2 capstone projects, along with mentoring sessions for the micro-projects.

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Curriculum

Module 5 –

Introduction to Exploratory Data Analysis
Business Problem Solving
Visualization Principles
Basic Plots
Advanced Plots
Dashboard Creation
Storytelling through Dashboard
Micro Project 5

Module 6 –

Introduction to Machine Learning
Regression
Classification
Clustering
Micro Project 6
Micro Project 7 on Classification

Module 7 –

Integrated Capstone Project

Module 8 –

Elective 1 Neural Networks –

Programming with Tensorflow
Open CV and Convolution Neural Network
Natural Language Processing
Recurrent Neural Network
Recommendation System

Elective 2 Data Engineering –

Introduction to Data Engineering
Big Data and PySpark
Hive
Kafka
MongoDB
Cloud – AWS (Introduction)
MLOps
Capstone Project 2

MLOps
Capstone Project 2

Module 1 –

Basics of Python Language
Python Core Data Structures
Functions, Modules and Object-Oriented Programming
Exception Handling, FILE Input/Output
NumPy
Introduction to Pandas, Operation in Pandas – Part 1
Operation in Pandas – Part 2
Micro Project 1

Module 2 –

Introduction to SQL
Installation in SQL
DDL and DML Statements
Databases and Tables
Aggregate Functions
Joins and Set Operations
Sub-Queries, Operators and Derived Tables in SQL
Stored Procedures and Triggers in SQL
Micro Project 2

Module 3 –

Introduction to Statistics and Linear Algebra
Probability
Sampling & Estimation
Testing of Hypothesis
Micro Project 3

Module 4 –

Introduction to Exploratory Data Analysis
Uni, Bi & Multi variate Analysis
Missing & Outliers treatment
Scaling & Encoding techniques
Feature Engineering
Micro Project 4

Eligibility

Candidates must have completed graduation from a recognized institute/ university with either mathematics, statistics, or programming as a subject in a qualifying degree.
Candidates must have minimum 50% marks in aggregate in graduation.