Regression Analysis for Business Managers in Python and R
Learn how to use Linear & Logistic Regressions by solving 2 Business Case studies in Python & R. Code templates included
4.35 (60 reviews)
545
students
5 hours
content
Apr 2024
last update
$79.99
regular price
What you will learn
Understand the fundamental concepts of linear regression and be able to fit a linear model in Python or R programming.
Conduct a statistical analysis to determine the significance of different variables in a linear regression model.
Implement linear and multilinear regression models in a business setting using Python or R programming.
Understand how to use pricing data to inform business decisions, such as setting prices for products or services.
Use business insights to inform the development of linear and multilinear regression models.
Make predictions about future outcomes using linear and multilinear regression models.
Analyze churn data to identify causes of customer loss and strategies for retention.
Evaluate the performance of linear and multilinear regression models.
Why take this course?
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:
Transform data
Visualize outliers
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.
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Reviews
Anita
June 11, 2023
The course was very helpful. I have a feedback. The Logistic Regression section does not include log of odds explanation.
Eduards
September 22, 2022
This online course was a great experience for me. It provided usable and practical templates for all the course content, which I found valuable. The course was well focused and explained the main steps effectively. I would definitely recommend this course to anyone who wants to improve their skills and learn in a practical manner.
Matthew
April 28, 2022
Outstanding course that not only explains the fundamentals, but teaches through doing real life examples in R and Python. Worth the time to take this well thought out course.
Neeladri
August 4, 2021
There are some concepts and applications that definitely require proper explanation, as to why it was done that way, or why a certain approach was taken. But overall a very nice experience..
Krishna
July 5, 2021
Completed a great course on Linear and Logistic Regression analysis using #python3 , very practical explanation & the teacher takes great care in explaining coding via step by step instructions to beginners.
Carlos
May 30, 2021
Step by step introductory course on the basics of linear regression using Python, but I really wished it would go deeper or with more examples than the mere basics - specially for people already used to Linear Regression models in other tools.
Andrea
April 20, 2021
Amazing and interesting course. I could finish the course in 2 days. It is very useful course for beginners. Amazing mentor. Loved the way of teaching. Thank you Diogo for this course.
Marina
February 17, 2021
Diogo is an excellent instructor. He provides great examples and explains everything in detail, in a way that is so easy to understand. I recommend this course to anyone who has some Statistics knowledge and wish to depend the knowledge in R and Python.
Myriam
January 23, 2021
Great course again! Not only did I learn about regressions but also about common business problems such as pricing and churning. Its great to see how the theory is applied to a real problem and how to interpret the results in a way it can but used for actions!
Deepro
January 1, 2021
I have gone through most of this course. Being a student of economics myself and as someone learning analytics, this course not only helped me grasp the concepts of Regression, but also helped me connect the dots between my classroom topics and practical application.
Esha
December 14, 2020
Good overall explanation of what the course will cover
Good to know where you cannot use regression analysis
XG boost was explained but what is Random forest
Python installation is before R, but in video you say “similar to R installation”
There were no steps to install R for Mac
As I had no idea about linear and logistic regression I had to view the videos multiple times and also refer to other sources to get few doubts cleared.
Over all I feel the course isn't suitable for a complete beginner like me, but for someone who knows a little bit about these topics
Julian
November 11, 2020
Really amazing course with extremely relevant content! Loved the entire setup where you could directly apply the knowledege in a realistic setup. Highly recommended!
Filip
November 6, 2020
Diogo is a great teacher. Plain and simple. This is my second course with him and I can now say that I'm a big fan of his style. He is easy to follow and explains things in a very down to earth kind of way. I was intrigued by the potential findings that we could conclude on this subject and that's what was my main driver throughout the course. Keep up the good work!
Moaz
October 31, 2020
Diogo thank you again for such a knowledge. i needed a refresh for linear regression with python and yet started by R. Yes you did a great job again !
Even having a Mathematical part will even make it helpful for students as well.
Louis
October 24, 2020
A really pleasant way to get up to speed quickly. Learning through watching and doing is certainly much better than reading a text book. The examples are pitched from a business perspective and so are really motivating. This course is clear, well delivered and relevant.
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3579795
udemy ID
10/19/2020
course created date
11/6/2020
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