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.

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

Skills you'll gain: Matplotlib, Plot (Graphics), NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Model Optimization, Machine Learning Algorithms, Text Mining, Data Manipulation, Predictive Modeling, Model Training, Unsupervised Learning, Data Management
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Scatter Plots, Histogram, Correlation Analysis, Data Visualization, Data Manipulation, Plot (Graphics), Data Wrangling, Data Import/Export, JSON, Statistical Visualization, Data Cleansing, Data Transformation, Data Visualization Software, Data Preprocessing, Exploratory Data Analysis, Data Analysis, Python Programming
★ 4.7 (30) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Object Oriented Programming (OOP), File I/O, Python Programming, Data Structures, Scripting, Web Development, Data Persistence, Full-Stack Web Development, Automation, Programming Principles, Program Development, Code Reusability, File Systems, Data Manipulation, File Management, Debugging, Application Deployment, Development Environment
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: Matplotlib, Plot (Graphics), Data Visualization, Predictive Modeling, Scientific Visualization, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Statistical Visualization, Data Presentation, Data Manipulation, Data Wrangling, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Applied Machine Learning, Machine Learning Algorithms, Model Evaluation, Statistical Inference
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Plot (Graphics), Pandas (Python Package), Data Visualization, Data Manipulation, Statistical Visualization, Data Processing, Data Import/Export, Regression Analysis
Beginner · Course · 1 - 3 Months

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

University of Michigan
Skills you'll gain: Social Network Analysis, Social Media Analytics, Data Analysis, Python Programming, Model Evaluation
Advanced · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Preprocessing, Correlation Analysis, Seaborn, Data Cleansing, Data Wrangling, Data Processing, Data Visualization, Plot (Graphics), Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Data Integration, Statistics, Infectious Diseases, Python Programming
★ 4.5 (2K) · Intermediate · Guided Project · Less Than 2 Hours

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

Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Applied Machine Learning, NumPy, Statistical Machine Learning, Classification Algorithms, Data Preprocessing, Data Processing, Data Wrangling, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Model Evaluation, Data Science, Statistical Hypothesis Testing
★ 3.8 (60) · Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Probability & Statistics, Data-Driven Decision-Making, Statistical Analysis, Sampling (Statistics), Jupyter, Analysis, Statistical Programming, Statistical Software, Python Programming
★ 4.6 (936) · Intermediate · Course · 1 - 4 Weeks