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.

Coursera
Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Data Visualization, Data Presentation, Data Transformation, Statistics, Data Cleansing, Advanced Analytics, Time Series Analysis and Forecasting, Correlation Analysis, Python Programming
★ 4.5 (20) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, Data Analysis, Data Visualization, Analytical Skills, Graphing, Pandas (Python Package), Data Science, Jupyter, Python Programming
★ 4.5 (4.9K) · Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Statistical Programming, Probability & Statistics, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, NumPy, Python Programming
★ 4.7 (2.7K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, Data Transformation, Data Quality, Pivot Tables And Charts, Data Validation, Jupyter, Data Analysis, Data Structures, Performance Tuning, Analysis, Programming Principles, Data Import/Export, Exploratory Data Analysis, Data Processing, Analytics, Development Environment, Python Programming, Data Management
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Data Visualization Software, Python Programming, NumPy, Data Analysis, Data Transformation, Programming Principles, Data Cleansing
★ 3.8 (10) · Beginner · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Processing, Data Cleansing, Data Science, Statistical Analysis, Pivot Tables And Charts, Data Analysis, Python Programming, Data Import/Export, Text Mining
★ 4.5 (27K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Applied Machine Learning, NumPy, Classification Algorithms, Data Preprocessing, Data Analysis, Python Programming, Regression Analysis, Machine Learning, Data Science, Statistical Hypothesis Testing, Artificial Intelligence and Machine Learning (AI/ML), Data Structures
★ 3.6 (64) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Data Analysis, Analytics, Exploratory Data Analysis, Data Manipulation, Jupyter, Matplotlib, Data Visualization, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming
★ 4.3 (248) · Beginner · Course · 1 - 3 Months

Fractal Analytics
Skills you'll gain: Feature Engineering, Data Wrangling, Exploratory Data Analysis, Matplotlib, Statistical Analysis, Data Visualization, Plot (Graphics), Data Preprocessing, Statistical Methods, Seaborn, Data Science, Data Manipulation, Data Cleansing, Data Analysis, Pandas (Python Package), Statistics, Data Transformation, Descriptive Statistics, Correlation Analysis, Statistical Hypothesis Testing
★ 4.2 (217) · Beginner · Course · 1 - 3 Months

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, Python Programming
★ 4.6 (938) · Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Data Import/Export
★ 4.9 (24) · Intermediate · Course · 1 - 3 Months