For your capstone project, you’ll tackle a real-world data problem from end to end. Develop a pitch and problem statement, source and collect relevant data, conduct an exploratory data analysis, and build a predictive model.

You’ll document and share your findings through a presentation, technical report, and non-technical summary. Throughout this Accelerator Course you’ll also compile a portfolio of projects designed to reinforce what you’ve learned in each unit. Gain hands-on experience with statistical and machine learning models, Python programming tools, recommender systems, neural networks, and more.

Not only that, You will get to Work on Projects from Topics such as Data Analytics, Data Visualization, Machine Learning, Time-series Forecasting, Deep Learning, Recommendation Engines, NLP, Chatbots, Web Scraping, Computer Vision, etc.