Python for Data Analysis courses can help you learn data manipulation, statistical analysis, data visualization, and data cleaning techniques. You can build skills in using libraries like Pandas for data handling, NumPy for numerical data processing, and Matplotlib or Seaborn for creating informative graphs. Many courses also cover practical applications such as exploratory data analysis and predictive modeling, allowing you to apply your skills to real datasets and derive actionable insights.

Duke University
Skills you'll gain: Data Visualization Software, Data Visualization, Data Storytelling, Statistical Visualization, Interactive Data Visualization, Plot (Graphics), Plotly, Matplotlib, Data Presentation, Dashboard, Seaborn, Tableau Software, Scatter Plots, Heat Maps, Histogram, Google Sheets, Data Analysis, Python Programming, Cloud Applications, Business Communication
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: ChatGPT, Machine Learning Methods, Data Mining, Generative AI, Recurrent Neural Networks (RNNs), Data Preprocessing, Python Programming, Machine Learning Algorithms, Data Manipulation
Advanced · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Data Manipulation, Data Science, Histogram, Package and Software Management, Data Import/Export, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Classification Algorithms, Data Preprocessing, Data Analysis, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Science, Statistical Hypothesis Testing, Supervised Learning, Statistical Methods, Data Structures
Beginner · Course · 1 - 4 Weeks

Rice University
Skills you'll gain: Data Visualization Software, Plot (Graphics), Package and Software Management, Python Programming, Data Cleansing, Data Processing, Data Integration, Data Import/Export, Program Development, Data Structures, Software Documentation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Scatter Plots, Histogram, Data Visualization, Data Visualization Software, Statistical Visualization, Data Analysis, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Data Preprocessing, Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Statistics, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Statistical Visualization, Scatter Plots, Histogram, Data Science, Computer Programming
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Plotly, Matplotlib, Exploratory Data Analysis, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Scatter Plots, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Histogram, Plot (Graphics), Data Visualization, Seaborn, Scatter Plots, Data Visualization Software, Statistical Visualization, Graphing, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Pandas (Python Package), NumPy, Data Wrangling, Data Transformation, Data Manipulation, Pivot Tables And Charts, Data Preprocessing, Data Cleansing, Data Analysis, Numerical Analysis, Statistical Analysis, Data Structures, Descriptive Statistics
Mixed · Course · 1 - 4 Weeks