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Python for Data Analysis
Python is one of the most popular and powerful programming languages data analysts use to process, analyze, and visualize data efficiently. Data analysts leverage Python's extensive libraries such as pandas for data manipulation, NumPy for numerical operations, and Matplotlib for creating charts. These tools enable analysts to clean data, perform exploratory data analysis, and generate actionable insights, making Python an essential skill in data-driven industries to support analytics and inform business decisions.
This learning path is intended for anyone who wants to level up their data analysis skills with Python.
Content in this path
Python Data Essentials
Gain a foundational understanding of data types and basic data operations in Python.
Python: Importing Data
Importing data with Python is an important pre-requisite to actually working with that data in Python. These courses teach you how to read and import data from various sources using Python.
Python: NumPy
NumPy is critical for numerical computations in Python. The courses teach you the foundational concepts necessary before moving on to more complex data manipulation with pandas.
Python: Pandas Essentials
Now that you're comfortable with the basics of Python and NumPy, you can start working on data manipulation and analysis with pandas. These courses cover the essentials of pandas.
Python: Cleaning Data
Cleaning data is a critical part of data analysis using Python. The courses in this section teach you how to handle missing values, outliers, and errors commonly found in data sets.
Python: Data Wrangling
Data wrangling involves transforming and mapping data from one "raw" data format into another that may be more appropriate for analysis. The courses in this section teach you how to wrangle your data with Python effectively.
Python: Exploratory Data Analysis
Exploratory Data Analysis (EDA) with Python is the process of analyzing data and summarizing its main characteristics in a visual manner. As you apply EDA techniques to your work, you'll be able to derive insights and patterns from data. The courses in this section teach you foundational EDA techniques.
Python: Matplotlib
Matplotlib is a fundamental plotting library in Python. The courses in this section teach you core Matplotlib concepts so you can start visualizing your data and findings more effectively.
Python: Advanced Pandas
Build upon the knowledge you learned in the pandas essentials section of this learning path.
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What You'll Learn
- ###What You Will Learn
- Python Data Essentials
- How to import data with Python
- NumPy
- pandas essentials
- How to clean data with Python
- How to wrangle data with Python
- How to perform EDA with Python
- Matplotlib
- Advanced pandas
- Learners interested in this path should have familiarity with foundational data concepts and basic programming knowledge.
- Python
- Data Analysis
- Pandas
- NumPy
- Matplotlib
- Exploratory Data Analysis
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