At the core of data science and data analytics is a thorough knowledge of data visualization. In this course, Introduction to Data Visualization with Python, you'll learn how to use several essential data visualization techniques to answer real-world questions. First, you'll explore techniques including scatter plots. Next, you'll discover line charts and time series. Finally, you'll learn what to do when your data is too big. When you're finished with this course, you'll have a foundational knowledge of data visualization that will help you as you move forward to analyze your own data.
Overview
At the core of data science and data analytics is a thorough knowledge of data visualization. In this course, Introduction to Data Visualization with Python, you'll learn how to use several essential data visualization techniques to answer real-world questions. First, you'll explore techniques including scatter plots. Next, you'll discover line charts and time series. Finally, you'll learn what to do when your data is too big. When you're finished with this course, you'll have a foundational knowledge of data visualization that will help you as you move forward to analyze your own data.
Syllabus
- Course Overview 1min
- Course Introduction 3mins
- Introduction to Jupyter, Pandas, and Matplotlib 14mins
- Finding Distribution of Data with Histograms 12mins
- Creating Time Series with Line Charts 11mins
- Examining Relationships in Data with Scatter Plots 15mins
- Comparing Data with Bar Graphs 9mins
- What to Do When Your Data Is Too Big 11mins
- Solving Real-world Problems with Visualization 7mins
Taught by
YK Sugi
