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Get acquainted with Python for Data Science and Perform Statistical Analysis
Updated on Sep, 2026
Programming, Data Science, Machine Learning
Training 5 or more people ?
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In this course, you'll learn how to get started in data science. You don't need any prior knowledge of programming. We'll teach you the Python basics you need to get started. Here are the items we'll cover in this course:
The Data Science Process.
Python for Data Science.
NumPy for Numerical Computation.
Pandas for Data Manipulation.
Matplotlib for Visualization.
Seaborn for Beautiful Visuals.
Plotly for Interactive Visuals.
Introduction to Machine Learning.
Deep Learning & Next Steps.
For the machine learning section here are some items we'll cover:
How Algorithms Work.
Advantages & Disadvantages of Various Algorithms.
Feature Importances.
Fighting Overfitting.
Hyperparameter Tuning.
Handling Imbalanced Data.
Check out the detailed breakdown of what’s inside the course
Derrick Mwiti is a data scientist who has a great passion for sharing knowledge. He is an avid contributor to the data science community.
Experienced in data science, machine learning, and deep learning with a keen eye for building machine learning communities.
Derrick works as a machine learning developer advocate, where he helps companies build products that developers want. It involves getting feedback to the companies as well as getting feedback to developers.
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