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Data Analyst in Python
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Data Analyst in Python
Prerequisites
There are no prerequisites for this trackCourse
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.
Course
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
Project
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.
Course
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
Project
Use data manipulation and summary statistics to analyze test scores across New York City's public schools!
Course
Learn to combine data from multiple tables by joining data together using pandas.
Course
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.
Course
Learn how to create informative and attractive visualizations in Python using the Seaborn library.
Project
Explore a dataset containing a century's worth of Nobel Laureates. Who won? Who got snubbed?
Skill Assessment
Skill Assessment
Course
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.
Project
Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.
Course
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
Course
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.
Project
Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!
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