Foundations of Programming, Statistics, and Machine Learning for Business Analytics
A Practical Guide to Programming, Statistics, and Machine Learning for Business Analytics
Created by Ram Gopal, Tillman Weyde, Dan Philps
Build a strong foundation in programming, statistics, and machine learning while focusing on practical business analytics. Explore essential techniques for data visualization, model building, and statistical testing. Gain hands-on experience applying these skills to real-world business problems.
Sage Publishing | 512 min
What You Will Learn
You will start by learning basic programming concepts and gradually move into statistical analysis and machine learning. Each section uses real-world business examples to help you connect theory with practice. Hands-on activities and step-by-step guidance ensure you can confidently apply new skills to business analytics tasks.
Key Features
- Develop core programming skills for analyzing and managing business data
- Apply statistical methods to support data-driven business decisions
- Use machine learning algorithms to solve practical business challenges
Target Audience
Perfect for business professionals, data analysts, or students who want to build a solid understanding of programming, statistics, and machine learning from the ground up. No prior experience in programming or data science is needed, but a basic grasp of mathematics will help. If your goal is to make better business decisions using data, this course is a great starting point.
