Data Analysis with Python courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning basics. You can build skills in working with datasets, interpreting results, and communicating findings effectively. Many courses introduce tools like Pandas for data handling, Matplotlib and Seaborn for visualization, and Scikit-learn for implementing machine learning algorithms. These skills and tools empower you to analyze complex data sets and derive actionable insights across various domains.

Skills you'll gain: Package and Software Management, Data Science, Exploratory Data Analysis, Computer Programming, Mathematical Software
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, LLM Application, Applied Machine Learning, Data Quality, Unstructured Data, Anomaly Detection, Machine Learning Methods, Data Science, Supervised Learning, Machine Learning, Data Preprocessing, Data Analysis, Social Media Analytics, Data Manipulation, Python Programming, Exploratory Data Analysis
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Statistical Methods, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Data Visualization Software, Python Programming, NumPy, Statistics, Data Analysis, Git (Version Control System), Collaborative Software, AI Workflows, Data Transformation
Beginner · Course · 1 - 3 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Statistical Inference, Portfolio Risk, Statistical Methods, Pandas (Python Package), Statistical Hypothesis Testing, Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Feature Engineering, Regression Analysis, Financial Analysis, Jupyter, Financial Market, Market Data, Predictive Modeling, Python Programming, Data Visualization
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Anomaly Detection, Data Manipulation, Machine Learning Methods, Statistical Methods, Linear Algebra, Python Programming, Classification Algorithms
Advanced · Course · 1 - 4 Weeks

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

Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Plot (Graphics), Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Data Science, Statistical Analysis, Data Wrangling, Data Quality, Python Programming
Beginner · Guided Project · Less Than 2 Hours
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

O.P. Jindal Global University
Skills you'll gain: Web Scraping, Research Design, Research Methodologies, Matplotlib, Research, Data Ethics, Plot (Graphics), Data Processing, Data Collection, Seaborn, Text Mining, Data Visualization, Data Science, Economics, Policy, and Social Studies, Data Visualization Software, Pandas (Python Package), JSON, Application Programming Interface (API), Data Analysis, Python Programming
Build toward a degree
Beginner · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Processing, Data Cleansing, Data Wrangling, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Data-Driven Decision-Making, Pivot Tables And Charts, Data Analysis, Statistical Methods, Python Programming, Data Import/Export, Scripting Languages, Probability & Statistics, Programming Principles, Text Mining
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Statistics, Correlation Analysis, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Correlation Analysis, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Data Wrangling, Data Preprocessing, LLM Application, Data-oriented programming, Code Reusability, Data Transformation, Numerical Analysis, Critical Thinking, Functional Design
Intermediate · Specialization · 3 - 6 Months