What will you learn
The Python and Data Science Course takes you from the basics of Python programming to applying it in real data science workflows. You’ll start by learning Python syntax, how to write functions, use conditional logic, and structure code using classes and modules. Along the way, you’ll use Jupyter Notebooks—an interactive coding environment that makes it easy to test ideas and document your work—and set up your workspace using Anaconda to keep everything organized and consistent.
Once the foundation is in place, you’ll dive into NumPy to handle numerical data and perform high-speed calculations. You’ll work with arrays, apply mathematical operations, and manipulate data in ways that are essential for efficient analysis. Then, using Matplotlib, you’ll learn to create visualizations like line plots, bar charts, and scatter plots to present your data clearly and effectively.
Next, you’ll work with Pandas—one of the most powerful data analysis libraries available. You’ll learn how to load and clean messy data, filter and group values, and perform summary statistics and exploratory data analysis. With Pandas, you’ll be able to quickly make sense of complex datasets and prepare them for further analysis or modeling.
On the final day, you’ll be introduced to machine learning with Scikit-learn. You’ll practice loading datasets, choosing and training models, making predictions, and evaluating results. Topics like classification, regression, and clustering will be covered through real-world examples. You’ll also learn about model selection and performance tuning so you can make informed decisions about how to improve your models.
Why choose this course
The Python and Data Science Course at Geo-ICT offers a structured, practice-focused learning experience that helps you build in-demand skills while working on real data.
- Balanced approach: Combines essential theory with practical exercises, so you can understand concepts and immediately apply them.
- Modern tools: Learn with today’s most widely used libraries—NumPy, Pandas, Matplotlib, and Scikit-learn.
- Expert instruction: Taught by professionals with experience in Python programming, data analysis, and geo-information.
- Job-ready skills: Everything you learn is directly applicable to common tasks in analysis, automation, and reporting.