PG PROGRAM IN DATA SCIENCE
Take your first step towards becoming a Data Scientist
- 120+ Hours of LIVE Web Classes
- 350+ Hours of High Quality e-learning
- Tools covered: R, Tableau, Hadoop, Pig, Hive, HBase, Spark, etc.
15 December 2017
Batch Start date
₹ 1,50,000 + Taxes
On completion of the course get a certificate from Manipal Academy of Higher Education
Industry-relevant course curriculum, with applications in multiple domains taught by highly experienced Subject Matter Experts from academia, IT and Data Science industry.
Award / Certificate
120+ Hours of LIVE web classroom sessions on weekends, complemented with assignments and case studies during after-class hours. Along with 350+ Hours of Online classes.
Instructor led learning:
Applicants should have the following minimum academic qualifications:
Science Graduates (BSc. & MSc.) from a recognised university in Maths/Stats/Operations Research/Physics/Economics/Computer Science/Information Technology
Commerce Graduates from a recognised university in Maths/Stats/Economics/Computer Science/Information Technology
The program admits students who are Freshers and working professionals who wants to build career in the field of Data Science.
Course Curriculum / Modules
Module 8 - a : Machine Learning I
b : Machine Learning II
Module 6 - Big Data Technologies
Module 5 - Data Visualization
Module 1 - a : Problem Solving for Java Programming
b : Advanced Excel
Module 4 - Exploratory Data Analysis
Module 7 - Business Communication
Module 2 - a : Programming with Data Science
b : Introduction to Python with Data Science
Module 9 - Specialization 1 : HR Analytics
Specialization 2: Banking Analytics
Specialization 3: Web Analytics with Google
Module 3 - Statistical Technique in Data Science
Apply the methods, tools and techniques by leveraging technologies such as R, Excel, SQL, NoSQL, Hadoop, Pig, Hive, Apache Spark and other open source and proprietary products as well.
Understand and use Big Data technologies as enablers to deploy enterprise information management and solve business problems.
Perform data analysis, modelling, predictive analysis, and story-telling through data visualization which is crucial to business decision-making.
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