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Online PGCP in Data Science and Machine Learning - MAHE

About

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.
Fee Structure

₹ 1,50,000 (With Placement Guarantee)

₹ 1,20,000 (With Placement Assistance)

Placements
Scholarship
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Related Courses

Note – This Information Has Been Taken From the Official Website Of The College.

Fees

₹ 1,50,000 (With Placement Guarantee)₹ 1,20,000 (With Placement Assistance)

Course Info

Duration: 1 Years

Type: PG

Approved By: NAAC “A+”

College: Manipal Academy of Higher Education

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