นักวิเคราะห์ข้อมูล ใน Python

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.

Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

Use data manipulation and summary statistics to analyze test scores across New York City's public schools!

เรียนรู้การรวมข้อมูลจากหลายตารางด้วยการเชื่อมข้อมูลโดยใช้ pandas

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

Learn how to create informative and attractive visualizations in Python using the Seaborn library.

Explore a dataset containing a century's worth of Nobel Laureates. Who won? Who got snubbed?

Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!