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.

Codio
Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Statistical Analysis, Data Import/Export, Data Cleansing, Probability & Statistics, Data Manipulation, Descriptive Statistics, Pandas (Python Package), Exploratory Data Analysis, Correlation Analysis, Python Programming, Programming Principles, Computer Programming, Computational Logic
Mixed · Course · 1 - 3 Months

University of Leeds
Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Scripting, Software Installation, Data Structures, Data Science
Beginner · Course · 1 - 4 Weeks

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

Skills you'll gain: Seaborn, Data Literacy, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Presentation, Data Visualization Software, Data Visualization, Box Plots, Exploratory Data Analysis, Data Storytelling, Data Processing, Data-Driven Decision-Making, Statistical Modeling, Statistical Analysis, Descriptive Statistics, Pandas (Python Package), NumPy, Python Programming
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Transformation, JSON, Data Preprocessing, Data Structures
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Matplotlib, Data Processing, Scientific Visualization, Data Storytelling, Data Visualization Software, Data Analysis, Data Structures, Heat Maps, Data Manipulation, Pandas (Python Package), NumPy, Data Transformation, Exploratory Data Analysis, Data Cleansing, Data Mapping, Data Import/Export, Python Programming, Data Preprocessing, Scripting
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Box Plots, Data Science, Histogram, Statistical Analysis, Statistical Methods, Data Preprocessing, Probability & Statistics, Data Analysis, Data Visualization Software, Bayesian Statistics, Scatter Plots, Scripting, Python Programming, Machine Learning Algorithms, Data Manipulation, Statistical Inference, Regression Analysis
Mixed · 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

Skills you'll gain: Pandas (Python Package), Scatter Plots, Histogram, Data Visualization, Data Manipulation, Data Import/Export, JSON, Data Cleansing, Data Visualization Software, Data Preprocessing, Exploratory Data Analysis, Data Analysis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours
University of Illinois Urbana-Champaign
Skills you'll gain: Matplotlib, Pandas (Python Package), Seaborn, SQL, Data Visualization, Data Preprocessing, Jupyter, Data Manipulation, NumPy, Regression Analysis, Accounting, Database Management, Analytics, Descriptive Statistics, Relational Databases, Statistical Analysis, Python Programming, Data Analysis Software, Data Structures
Build toward a degree
Intermediate · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Data Preprocessing, Data-oriented programming, Program Development, Numerical Analysis, Critical Thinking
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Probability, Model Evaluation, Correlation Analysis
Mixed · Course · 1 - 4 Weeks