PG Diploma in Data Science (Full Time)

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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
_
Course Faculty
Faculty, Manipal ProLearn
Experience: 8+ Years

Qualification
B.Tech (Electronics)
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Analytics Consultant & Trainer
Experience: 2+ Years

Qualification
MS (Software Engineering), M.Sc. (Data Science)
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Faculty, Manipal ProLearn
Experience: 35+ Years

Qualification
BE (Electrical Engg.)
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Faculty, Manipal ProLearn
Experience: 13+ Years

Qualification
BE (CSE)
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Faculty, Manipal ProLearn
Experience: 25+ Years

Qualification
B.Tech, IIT Kharagpur
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Faculty, Manipal ProLearn
Experience: 10+ Years

Qualification
B.E. (CSE), MS (CSE)
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Faculty, Manipal ProLearn
Experience: 9+ Years

Qualification
MS (Software Systems)
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Faculty, Manipal ProLearn
Experience: 12+ Years

Qualification
B.Sc. (Statistics), M.Sc. (CSE), PhD (Non-life Insurance Data Analysis, Modeling and Forecasting), Certified SAP Development Consultant
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Faculty, Manipal ProLearn
Experience: 25+ Years

Qualification
M.Sc., M.Tech , PhD (Information Technology)
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Faculty, Manipal ProLearn
Experience: 17+ Years

Qualification
M.Sc (Statistics), PhD (Statistics)
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Industry Expert, Member of Board of Studies
Experience: 10+ Years

Qualification
MBA, Business Management
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Faculty, Manipal ProLearn
Experience: 25+ Years

Qualification
B.Tech (E&C), MBA (Production Management)
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Director, Manipal ProLearn
Experience: 20+ Years

Qualification
B.E. (CSE), M.Tech (CSE), PhD (CSE)
More Info
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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

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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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