Regression Analysis for Business Managers in Python and R
What you'll learn
- Linear Regression
- Logistic Regression
- Churn drivers
- Data Manipulation
- R and Python
- Basic math: mean, median, standard deviation
Regression analysis is the most common tool at the disposal of anyone looking to analyze data. If you are looking to derive meaning insights from your data, then this course is for you.
3 reasons this course is unique:
You learn not only techniques, but you also learn about Business. The intuition tutorials have their beginning dedicated to explaining to you the relevance of the business problem. By the end of the course, you will be able to discuss matters with your stakeholders related to Pricing or Customer Churn.
Real-life experience. Coding a Regression is a matter of just a couple of lines of code. However, life is not that simple. Almost always, you get a dirty dataset that you need to transform and manipulate to make it a usable and useful dataset. The practice tutorials mirror that experience. We will go through standard techniques to:
Assess which variables are the best to use.
We code together. In R or Python, I will guide you every step of the way, explaining all steps required to make an excellent regression analysis.
Did I pique your interest? I am looking forward to seeing you inside the course.
Who this course is for:
- Professionals looking to learn about regression analysis
- Graduates wanting to have a practical view on Regressions
- Business Managers looking into their first steps into Data Science
Hey guys! I am thrilled that you are reading this. I work for one of the biggest e-commerce companies, focused on business analytics, and it is the methodologies I have used in my job that I want to teach.
In the past, I have done Radio as an anchor in my hometown, which is probably my favorite college experience. I have also worked with the United Nations on the topic of Mobile Money in Lesotho.
I will try that my courses are really practical. I will always try to provide real-life examples and datasets. I aim to give you guys the tools to succeed in your professional careers.
Please feel free to send me a message.
Looking forward to working with you :)