10 Business Problems that Can Be Solved with Data Science

Project Goal:

Goal of this project is to help data scientists get kickstarted on their projects with basic business problems that businesses, Fortune 500 companies, and high-demand industries need solved.

Each project comes with synthetic (fake) data and can be used to jumpstart more in-depth analysis.

Work in Progress (Coming Soon):

The following top 10 business problems are planned to be covered:

Going Further

For data scientists that want to learn how to solve more advanced business problems with Python and R:

(No prequisites required if you start with the 1st course)

1. 2-Course Python Track: Through 759 lessons, 63 hours of video, 5 Challenges, and 4 projects learn data science, machine learning, lifecycle management, APIs, Web Applications, ROI, Business Problem Solving, and a host of niche data science skills.
2. 5-Course R-Track - Through 1,848 lessons, 153 hours of video training, 24 Challenges, and 8 advanced projects learn expert-level data science skills including Business Problem Solving for Data Scientists, Advanced Machine Learning, ROI, Time Series Forecasting, Shiny Web Applications, and more.