Post Graduate in data science course provides training to develop Statistical, Computational and Programming Skills. The increasing importance of data analysis in several fields including banking, finance, entertainment, pharmaceutical, environment, economics, engineering and many more motivated us to curate a course for full time working professionals and new graduates to upskill and become eligible for lucrative job prospects.
The program aims at teaching students:
- Theoretical and practical aspects of statistical concepts like inference, probability, Bayes Theorem, modeling
- Programming skills like Python and R programming
- Data visualization tools for real-world scenarios
- Database management to clean, transform and query data.
- Implementing machine learning algorithms to design solutions for data-oriented problems
Gateway to foreign universities
Complete 16 years of education as required by most of the international institutions while getting an excellent foundation in the data science field.
University of Mumbai
Globally recognised degree from the prestigious 160 years old University of Mumbai. Campus placed at renowned Patkar-Varde college having ‘A+ Grade’ by NAAC.
Industry approved curriculum
The program has been designed and taught by eminent industry experts to bring education in sync with workplace realities ensuring holistic learning.
Capstone Projects & Case Studies
Capstone projects drawn from real-world problems allow students to create a product that can be used to practice their skills and showcase to potential employers.
Programming softwares / tools covered
“Knowledge has to be improved, challenged, and increased constantly, or it vanishes.”
In data science, mathematical skills are as important as programming skills. Subjects like Statistics, Linear algebra and Big data helps to build a profound fundamental to build reliable and efficient models
You need good programming and analytical skills to become a good data scientist which comes by practicing several tools required to solve big data problems, automate processes and write efficient algorithms.
Application Based Learning
Companies are using analytics to improve their process and the scale of the data they use to do this has increased tremendously over the last few years making it extremely important to learn through real-world case studies.
Professionals from the industry share their experiences though such sessions and talk about how data science continues to gain widespread acclaim & demand across almost every major sector.
Graduate from any stream (Science/Commerce/Arts)
Must have a keen interest in Statistics, Programming and Data Analysis.
This semester introduces students to statistical analysis and several programming tools, data visualisation to transform and clean the data and database management to create, retrieve, update and manage data.
- Python and Algorithms
- Statistics and R
- Database Management System
- Quantitative Methods
- Data Visualization
This semester focuses on Time series forecasting and Machine Learning that automates analytical model building. Students learn to work on big data and advanced SQL to systematically extract information and draw insights.
- Machine Learning and Deep Learning
- Time Series Analysis and Forecasting
- NLP and Recommendation Engine
- Distributed Processing using HADOOP
- Social Media and Marketing Analytics
- Financial Analytics