Data analysis in Python,
in this course we will learn about data analysis using Python, focusing on how to collect, clean, manipulate, and visualize data to uncover valuable insights. You will get hands-on experience with essential Python libraries such as pandas for data manipulation, NumPy for numerical computing, Matplotlib and Seaborn for data visualization, and Jupyter Notebook for interactive analysis. The course covers importing datasets, handling missing data, filtering and grouping, statistical analysis, and creating meaningful charts and graphs. You’ll also learn to summarize large datasets, draw conclusions, and make data-driven decisions. Whether you're analyzing sales data, survey results, or business performance, this course equips you with the practical skills to perform real-world data analysis. No prior experience required—just basic Python knowledge. Join now and start analyzing data with confidence. Data School
