E-LÆRING
E-learning: Data Analysis with Python
Want to work more effectively with data? This introductory course teaches you the fundamentals of data analysis with Python — from cleaning and visualizing data to building predictive models.
Learn to analyze data using Python
The course gives you a practical introduction to the data analysis process in Python, including data loading, exploration, transformation, and modeling. You’ll work with key libraries like Pandas, NumPy, and Matplotlib.
What’s included in the course?
In this flexible e-learning journey, you will gain:
- An introduction to essential Python libraries: Pandas, NumPy, Matplotlib, and Seaborn
- Techniques for cleaning and transforming data for analysis
- Knowledge of building predictive models using classification and regression
- Insights into evaluating model performance using relevant metrics
- A hands-on introduction to Jupyter Notebooks and Google Colab for interactive coding
Who is this course for?
This course is ideal for students, engineers, and professionals who want to strengthen their analytical skills and work more data-driven.
You’ll learn to:
- Load, clean, and structure data in Python
- Visualize and explore data effectively
- Build and evaluate basic predictive models
- Use the most common tools in the data analysis ecosystem
Why take this course?
Python is one of the most widely used languages in data analysis and machine learning. This course gives you a solid introduction to a fast-growing field — and to tools that are in high demand in today’s job market.