Overview
In this 10-hour course, you will learn Python for data analysis, covering core technologies such as Pandas, Scikit-learn, and Seaborn. Through hands-on projects with real-world datasets, you will gain practical skills in analyzing and visualizing data efficiently.
What I will be able to do after this course
- Gain practical experience in using Python for data analysis, including importing, cleaning, and exploring datasets.
- Learn to create compelling visualizations with Python's data visualization libraries, enhancing data insight communication.
- Understand statistical concepts and their applications in parsing and interpreting data effectively.
- Master the process of preparing and transforming data for meaningful analysis.
- Complete guided projects that provide real-world context and reinforce learning outcomes.
Course Instructor(s)
Just Into Data is a proficient Python instructor with extensive experience in data analysis, combining a solid theoretical foundation with practical applications. They have hands-on industry experience and are dedicated to providing step-by-step instructions that make learning accessible to everyone. Their teaching approach emphasizes clarity, interactivity, and practical relevance.
Who is it for?
This course is designed for aspiring data analysts, data scientists, and those looking to enhance their ability to analyze data efficiently. It is suitable for beginners with a basic understanding of Python or programming, as well as professionals aiming to refine their skills. If your goal is to work with data to derive actionable insights, this course will help you achieve it.