Data Science for Business | 6 Real-world Case Studies

Solve 6 real Business Problems. Build Robust AI, DL and NLP models for Sales, Marketing, Operations, HR and PR projects.

Created by: Dr. Ryan Ahmed, Ph.D., MBA
Best-Selling Professor, 400K+ students, 250K+ YT Subs

Created by: SuperDataScience Team
Helping Data Scientists Succeed

Created by: Mitchell Bouchard
B.S, Host @RedCapeLearning 600,000 + Students

Created by: Stemplicity Q&A Support
STEM Made Simple

Created by: Ligency Team
Helping Data Scientists Succeed

What Will I Learn?

• Develop an AI model to Reduce hiring and training costs of employees by predicting which employees might leave the company.
• Develop Deep Learning model to automate and optimize the disease detection processes at a hospital.
• Develop time series forecasting models to predict future product prices.
• Develop defect detection, classification and localization models.
• Optimize marketing strategy by performing customer segmentation
• Develop Natural Language Processing Models to analyze customer reviews on social media and identify customers sentiment.

Requirements

• Basic knowledge of programming is recommended. However, these topics will be extensively covered during early course lectures; therefore, the course has no prerequisites, and is open to anyone with basic programming knowledge. Students who enroll in this course will master data science fundamentals and directly apply these skills to solve real world challenging business problems.

Target audience

• Seasoned consultants wanting to transform businesses by leveraging data science and AI.
• Visionary business owners who want to harness the power of Data science and AI to maximize revenue, reduce costs and optimize their business.
• Data Science Practitioners wanting to advance their careers and build their portfolio.
• Tech enthusiasts who are passionate about Data science and AI and want to gain real-world practical experience.