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Genre: eLearning
Learn how to use Linear & Logistic Regressions by solving 2 Business Case studies in Python & R. Code templates included
What you’ll 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.
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.
Who this course is for:
- Data analysts and scientists looking to improve their skills in linear and multilinear regression using Python or R programming.
- Business professionals interested in using data-driven approaches to inform decision-making and strategy.
- Sales professionals looking to optimize pricing and sales strategies using data analytics.
- Marketing professionals seeking to understand and predict customer behavior using data analytics.
- Students pursuing a degree in data science or a related field looking to gain practical experience with linear and multilinear regression.
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