Become a Python Data Analyst
Building Predictive Models with Pandas, Scikit-learn, NumPy and more
Created by Alvaro Fuentes
Explore the essential Python libraries for data analysis and predictive modeling using real-world datasets. You'll gain hands-on experience with tools like Pandas, NumPy, and Scikit-learn, learning how to process, visualize, and analyze data effectively. Build a strong foundation for tackling more advanced data science projects.
Packt | May 2017 | 270 min
What You Will Learn
You will learn by working directly with real datasets, applying Python's core data science libraries to solve practical problems. Step-by-step examples guide you through data processing, visualization, and analysis. By practicing these techniques, you'll build the confidence to use Python for your own data projects and prepare for more advanced analytics.
Key Features
- Work confidently with Pandas, NumPy, and Scikit-learn for data analysis tasks
- Create clear and insightful data visualizations to support your findings
- Apply practical techniques to process and analyze real-world datasets
Target Audience
Ideal for data analysts, business intelligence professionals, and software engineers who already know basic Python and want to expand their skills into data analysis. If you're looking to use Python for practical data tasks or to lay the groundwork for predictive analytics, you'll find this course a valuable next step.
