Duration: 3 Months (60 hrs.)

Objectives :

• Develop in depth understanding of the key technologies in data science and business analytics, data mining, machine learning, visualization techniques, predictive modeling, and statistics.
• Apply quantitative modeling and data analysis techniques to the solution of real world business problems, communicate findings, and effectively present results using data visualization techniques.
• Gain practical, hands-on experience with statistics programming languages and big data tools.

Topics to be covered :

• Programming for Data Science
• Statistical Techniques for Data Science
• Data Scrapping and Wrangling
• Data Analysis and Visualization
• Big Data Technologies
• Machine Learning

Target Students:

• Any person having a knowledge in programming & mathematics
• Candidates pursuing courses like Engineering, Science, Management or Finance
• Candidates completed courses like Engineering, Science, Management or Finance