Python Data Science: Regression & Forecasting

🚀 [Course Headline] Master Data Science and Machine Learning with Python by diving into Regression & Forecasting Models! 📊

About the Course:

Welcome to "Data Science in Python: Regression & Forecasting" – your comprehensive guide to understanding and implementing regression models, forecasting techniques, and becoming a proficient data scientist! This hands-on, project-based course is designed for learners who aspire to master the essentials of data science with a focus on Python.

Course Outline:

1. Introduction to Data Science 🎓

   • Explore the landscapes of data science and machine learning.
   • Understand the critical skills needed.
   • Familiarize yourself with each phase of the data science workflow.

2. Regression 101 📈

   • Get acquainted with the foundational concepts of regression.
   • Learn about different types and goals of regression analysis.
   • Follow the regression modeling workflow to prepare for your projects.

3. Pre-Modeling: Data Prep & Exploratory Data Analysis (EDA) 🧐

   • Recap the data preparation steps essential for effective modeling.
   • Dive into EDA techniques to understand data relationships and insights.

4. Simple Linear Regression 📉

   • Build simple linear regression models in Python.
   • Understand metrics and statistical tests to evaluate your models' performance.

5. Multiple Linear Regression 🔄

   • Expand your skills by building multiple linear regression models.
   • Learn how to assess model fit, select variables, and compare models using error metrics.

6. Model Assumptions 🧮

   • Review the critical assumptions of linear regression to ensure reliable predictions.

7. Model Testing & Validation 🔬

   • Master splitting data for model testing, tuning models, and interpreting results.

8. Feature Engineering ⚙️

   • Apply advanced techniques like dummy variables, interaction terms, and binning to enhance your regression models.

9. Regularized Regression 🔋

   • Explore regularized regression techniques as alternatives to linear regression, including Ridge, Lasso, and Elastic Net.

10. Time Series Analysis & Forecasting ⏰

    • Learn to handle time series data and perform forecasting using linear regression and advanced tools like Facebook Prophet.

What You'll Get:

• 8.5 hours of high-quality video content to guide you through each concept.
• 14 homework assignments to reinforce your learning.
• 10 quizzes to test your understanding.
• 3 comprehensive projects that provide real-world applications of your skills.
• An exclusive Data Science in Python: Regression ebook (230+ pages) to complement your learning.
• Downloadable project files & solutions for instant feedback and guidance.
• Access to an expert support and Q&A forum, where you can ask questions and get help when needed.
• A 30-day Udemy satisfaction guarantee, so you can join with confidence!

Who is this course for?

If you're an aspiring data scientist, whether you're a beginner or looking to solidify your skills in regression modeling with Python, this course is tailored for you. 👩‍💻✨

Join today and embark on a journey to become a data science expert with the guidance of Chris Bruehl, Data Science Expert & Lead Python Instructor at Maven Analytics.

Happy learning, and let's unlock the power of data together! 🚀🎉