This course will make you strong in hands-on programming using R language. You will become comfortable reading external files, do data wrangling, visualize them and do statistical analysis
Pre-Requisites
Basic Computer skills. Openness to program.
Duration
25 hours classroom + 20 hours assignment
Tools
R GUI, R Studio
Key Topics Covered
While Python is a general purpose programming language, it is one of the widely used language for Data Analytics. This course will make you strong in Data Analytics packages of Python (Numpy, Pandas, Matplot etc.)
Pre-Requisites
Basic Computer skills. Openness to program.
Duration
25 hours classroom + 20 hours assignment
Tools
Spyder (Anaconda), IPython Notebook
Key Topics Covered
R has hundreds of packages for doing Machine Learning. This course will introduce to key Machine learning concepts and provide you hands-on exposure to solve pracical use cases using Machine learning packages of R
Pre-Requisites
R Programming. Basic Mathematics and Statistics - Covered in 'Advanced R Programming' course offered by us
Duration
20 hours classroom + 25 hours assignment
Tools
R Studio
Key Topics Covered
Python is the recommended tool for building productionized data science solutions. In this course, you will get experience on using Data Science packages of Python (Scikit, Sklearn etc.) for building Data Science suites
Pre-Requisites
Python Programming. Basic Mathematics and Statistics - Covered in 'Python for Data Analytics' course offered by us
Duration
20 hours classroom + 25 hours assignment
Tools
Spyder (Anaconda), IPython Notebook
Key Topics Covered