Overview
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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.
Syllabus
- 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.
- Intermediate Python
- Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
- Investigating Netflix Movies
- Data Manipulation with pandas
- Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
- Joining Data with pandas
- Learn to combine data from multiple tables by joining data together using pandas.
- Introduction to Data Visualization with Seaborn
- Learn how to create informative and attractive visualizations in Python using the Seaborn library.
- Introduction to Statistics in Python
- Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.
- Exploratory Data Analysis in Python
- Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.
- Analyzing Crime in Los Angeles
Taught by
Hugo Bowne-Anderson, DataCamp Content Creator, Richie Cotton, Maggie Matsui, Aaren Stubberfield, George Boorman, and Izzy Weber