Course
Data Analytics with Python
Learn data analysis, visualization, and problem-solving with Python through hands-on projects.
Who this is for
Designed for anyone who wants to learn how to work with real-world data and build analytical solutions using Python. Suitable for students, recent graduates, professionals from various fields, and anyone interested in working with data. No prior programming experience is required.
Python is one of the most widely used programming languages in data analytics thanks to its simplicity, flexibility, and rich ecosystem of tools. In this course, you will learn how to use Python for data collection, cleaning, transformation, visualization, and analysis through real-world examples and hands-on exercises. Throughout the course, you will develop best practices for working with data, apply analytical techniques, and learn how to present your findings in a clear and meaningful way. Step by step, you will build the skills to transform raw data into valuable insights, strengthen your analytical thinking, and confidently use Python to solve real-world analytical problems.
What you'll learn
Python fundamentals and core programming concepts.
Data structures, functions, and file handling.
NumPy for numerical computing.
Pandas for data loading, cleaning, and transformation.
Data visualization with Matplotlib and Seaborn.
Exploratory Data Analysis (EDA) on real-world datasets.
Descriptive statistics and analytical techniques.
Applied final project and course assessment.
12 weeks
