Introduction to Advanced Statistics [7 hours]
R Programming [7 hours]
Data Warehousing [4 hours]
Machine Learning [18 hours: Supervised Learning (13 hours), Unsupervised Learning (5 hours) & Introduction to Deep Learning (2 Hours)]
Hands-on Session on Live Project [2 hours]
✔️ Cutting Edge Curriculum: Hand crafted Course content made by Experts from various Industries. Learn through Practical case studies and multiple projects.
✔️ Build Solid Foundation: 40 hours focused course on Statistics and Machine Learning
✔️ On the Go Learning: Online accessible E-learning Material, recorded lectures, case studies and Research Paper through our system.
✔️ Industry Mentorship: Get 1 to 1 guidance from Industry experts and start your career in Data Science.
Skills you will possess post program
✔️ Data Cleaning
✔️ Data Manipulation
✔️ Descriptive Analytics
✔️ Machine learning Modelling
✔️ Predictive Analytics
The most effective way to learn Data Science is to learn practically. Once the program gets finished candidate will be provided with a few Projects based on Machine Learning. You are advised to choose any 1 project according to your domain and your interest. Some examples of capstone project:
✔️ Prediction of Future security prices
✔️ Credit card Risk Analytics
✔️ Sales Prediction for Big Mart
✔️ Food Demand Forecasting
✔️ Project for a real estate company that wants to Predict the prices of houses based on different parameters.
✔️ Black Friday Sales Prediction