Course Details

Data science is an interdisciplinary field which involves large sets of data, both structured and unstructured, where a data scientist analyses the situations and predicts the trends better than any other analytical field. The algorithms in Data Science involve predictive analytics. DS is about the future.

 If you are aspiring to become a data scientist there are different skill sets where you need to excel in, such as, (a) Databases which is required to store and analyze the data , (b) Statistics, at advanced levels, for collecting, analyzing, interpreting and presenting the empirical data, (c) Programing Tools, especially R and Python, which are open source and their respective libraries, (d)Data Wrangling/mining for organizing and manipulating the data and (e)Machine learning which involves high level statistical modelling and programs written to make the systems learn and improve.

In this course we cover detailed concepts of Python, R along with Basic Statistics and progress into Advance Statistics and venture into Machine Learning concepts such as Regression Techniques, Black Box Methods, Forecasting, Decision Trees, Random Forests etc. We test these ML concepts in both Python and R with hands on real world examples practically. This course is suitable for beginners and freshers too but some previous programming knowledge is required. This course has 50 hours of on demand videos made in live class which includes interactions from the student with their doubts for better understanding. Please refer the curriculum section for detailed curriculum.