PG Diploma in Data Science (Full Time)

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Among the Top 3 Analytics Courses in India. Start your Data Science journey with Post Graduate Diploma in Data Science from Manipal Academy of Higher education, an Institute of Eminence.

9-month full time program,
2-month internship
300 learners
Classes in Bangalore

9-month full time program,
2-month internship

300 learners

Classes in Bangalore

Knowledge
Partner

New Batch starting July 22, 2019

₹584,100 ₹

Ask us everything about the program

Overview

Diploma from MAHE

Get diploma from Manipal Academy of Higher Education, an Institute of Eminence.
Excelerate scholarship

Top 10 meritorious students will receive financial assistance of Rs. 1 lakh. Also, one candidate will be offered a full fee waiver of Rs. 5 lakhs.
Who Should Attend

Managers, analysts, business intelligence professionals, data science aspirants
Salary Packages

The average pay at our campus is ₹6.4 lakhs per year.
Interactive Classroom Sessions

Learn from experts with a vast experience in delivering data science training programs

Diploma from MAHE

Get diploma from Manipal Academy of Higher Education, an Institute of Eminence.

Excelerate scholarship

Top 10 meritorious students will receive financial assistance of Rs. 1 lakh. Also, one candidate will be offered a full fee waiver of Rs. 5 lakhs.

Who Should Attend

Managers, analysts, business intelligence professionals, data science aspirants

Salary Packages

The average pay at our campus is ₹6.4 lakhs per year.

Interactive Classroom Sessions

Learn from experts with a vast experience in delivering data science training programs

About Course

Manipal ProLearn’s PG Diploma in Data Science program is designed to provide you with a broad understanding of the basic and advanced concepts of Data Science. The Data Science training will enable you to implement Big Data techniques using tools using R, Excel, Tableau, SQL, NoSQL, Hadoop, Pig, Hive, Apache Spark and Storm.

What skills you learn

After completing the Data Science diploma, you’ll be considered as a strong and competent data scientist. The course will help you to:

Perform data analysis, modelling, predictive analysis, and storytelling through data visualization, which is crucial to business decision-making.
Analyze data sets to summarize their main characteristics, often with visual methods with Exploratory Data Analysis
Understand and use Big Data technologies as enablers to deploy enterprise information management and solve business problems
Learn artificial intelligence and neural network that emphasizes the creation of intelligent machines.
Apply the methods, tools and techniques to real-world problems by leveraging technologies such as R, Python, Excel, SQL, NoSQL, Tableau, Hadoop, Pig, Hive, Apache.
Spark and Storm, and other open source and proprietary products as well.
Communicate analytics problems, methods, and findings effectively orally, visually, and in writing.
Become more accurate in predicting outcomes without Machine Learning.
Cleaning and unify messy and complex data set with Data Scrapping and Data Wrangling
Help Companies make critical decisions through analysis, modelling, visualization, etc.
Learn the emerging data science of unstructured data analysis and robotic process automation by choosing elective based on your area of interest.

Who Should Attend this course

Any graduates with minimum 50% marks in graduation

Fresher/professionals wanting to make a career shift to Data Science

Professionals who want to build machine-learning models

Any graduates with minimum 50% marks in graduation	Fresher/professionals wanting to make a career shift to Data Science
Professionals who want to build machine-learning models

Key Features

In collaboration with Equifax & Big Data University

The data science program is designed in collaboration with industry leaders Equifax & Big Data University.

Tool Based Learning

Get hands-on learning with tools like R, Python, Excel, SQL, NoSQL, Hadoop, Pig, Hive, Apache Spark & Storm.

Experiential Learning Model

The comprehensive curriculum of our Data Science training is taught through videos, reading material, projects, and assignments.

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Course Curriculum

1.1 Programming for Data Science

Introduction to Software and Operating System
Introduction to programming
Control Structures
Functions and Algorithms
Complexity
Complexity

1.2 Statistical Techniques for Data Science

Introduction to Statistics
Probability
Sampling
Testing of Hypothesis
Simple Correlation
Regression

1.3 Data Scrapping and Data Wrangling

Data Scrapping
Data Wrangling
Introduction to Database Management Systems

1.4 Exploratory Data Analysis

Introduction to Data Science
Introduction to Data Analysis
Descriptive Analysis
Data Cleansing and transformation
Statistical methods applications for dimension reduction

2.1 Machine Learning

Introduction to Machine Learning and Data Science
Classification
Validation Measures
Clustering
Recommendation Systems
Customer Analytics
Time Series

2.2 Data Visualization

Introduction to Data Visualization 30 Hours
Storytelling through data
Visualization & Communication using Data Visualization
Dashboards and Automation
Visualization Product

2.3 Big Data Technologies

Motivation for Big Data
Getting Started with Hadoop Framework
Understanding HBase
Analyzing Data with Hive
Analyzing Data with Pig
Sqoop, Oozie, Impala

3.1 Artificial Intelligence

Introduction to AI
Neural Networks
Deep Learning
Deep Learning Models

3.2 Advanced Big Data Technologies

Understanding Spark
Spark Programming
Real-time Data Stream Analytics

3.3 Transition to Corporate – Behavioral Development Program

Transition to Corporate Culture
Communication
Spoken Communication
Written Communication
Presentation Skills
Team Work

Download Curriculum

Frequent Questions we get

What is the selection process for the program?

Interested students will have to fill up an online application form. Those who match the eligibility criteria will have to undergo the online assessment test depending upon their graduation streams and Programming knowledge. Candidates clearing the assessment successfully may undergo a Video call-based interview. More details regarding the selection procedure will be updated soon.

When and how will the online assessments be conducted?

The assessments will be conducted as follows:

The details regarding the test login credentials and the instructions for taking the tests will be communicated to the applicants via mail, within a few days of receiving the completed application form.

The applicants can take the tests, at their locations as per their time convenience within the specified Test window duration

What is the duration of the program?

The program is spread over 11 (9+2) months – across 4 terms. The first 3 terms (9 months) have a mix of theory and labs while the last term is a project term.

If I choose to withdraw my application for admission, will I get a total fee refund?

Refund will be processed according to our Refund policy.

Will there be assessments and grading?

Yes, there will be assessments, scores and grading for the courses conducted.

Is there an availability of financial support, like loans?

Yes, we have tie-ups with established Financial Institutions like Axis Bank, Credila and Avanse Financial Services in case learners wish to opt for Education Loan to finance the program fees.

Is the payment one time or instalment based?

The Program fee may be paid in 3 equal instalments, or as a lump-sum at the start of the program. Please refer to the details of fee payment

Is there any industry partnership?

Yes, we will have knowledge and corporate partners who will play active role in curriculum, learning interventions, internships, and in the placements.

How many opportunities would you offer a student for placements?

Manipal ProLearn offers each learner a minimum of three opportunities with hiring companies. An opportunity will be defined as a test or an interview with a company that is interested in hiring data science professionals.

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