Python Data Fundamentals

Zaktualizowano 03.2026

Grow your data skills, discover how to manipulate and visualize data, and apply advanced analytics to make data-driven decisions.

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Python Data Fundamentals

Are you ready to gain the foundational skills you need to become a Python data analyst? In this track, you'll learn the Python basics you need to start on your data analytics journey, including how to clean real-world data ready for analysis, use data visualization libraries, and even how to analyze your data accurately using statistics.Your instructors will introduce you to how companies worldwide use Python to gain a competitive edge. Through hands-on coding exercises, you’ll then learn how to read, store, manipulate, and explore data using pandas. Then, it’s time to level up as you learn how to visualize your data using Seaborn, perform statistical analyses, and model predictions using probability. Start this track to add these essential Python skills to your data science toolbox.

Wymagania wstępne

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Course
1
Introduction to 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.
Course
2
Intermediate Python
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
Project
premia
Investigating Netflix Movies
Apply the foundational Python skills you learned in Introduction to Python and Intermediate Python by manipulating and visualizing movie data.
Course
4
Data Manipulation with pandas
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
Course
5
Joining Data with pandas
Learn to combine data from multiple tables by joining data together using pandas.
Course
6
Introduction to Data Visualization with Seaborn
Learn how to create informative and attractive visualizations in Python using the Seaborn library.
Course
7
Introduction to Statistics in Python
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.
Course
8
Exploratory Data Analysis in Python
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.
Project
premia
Analyzing Crime in Los Angeles
Find out when and where crime is most likely to occur, along with the types of crimes commonly committed in LA.