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: Model Evaluation, Spatial Analysis, Spatial Data Analysis, Geostatistics, Geospatial Mapping, Model Training, Geospatial Information and Technology, Applied Machine Learning, Image Analysis, Feature Engineering, Machine Learning Methods, Deep Learning, Convolutional Neural Networks, Machine Learning, Data Processing, Transfer Learning, Fine-tuning, Data Analysis, Random Forest Algorithm
Beginner · Course · 3 - 6 Months

Corporate Finance Institute
Skills you'll gain: Data Visualization, Portfolio Management, Portfolio Risk, Statistical Visualization, Plot (Graphics), Return On Investment, Market Data, Investment Management, Financial Modeling, Scatter Plots, Decision Making, Performance Measurement, Performance Analysis, Financial Market, Financial Analysis, Pandas (Python Package), Investments, Resource Allocation, Descriptive Analytics, Simulation and Simulation Software
Intermediate · Course · 1 - 4 Weeks

Rice University
Skills you'll gain: Probability & Statistics, Microsoft Excel, Descriptive Statistics, Box Plots, Statistical Methods, Probability Distribution, Statistical Visualization, Data Visualization, Probability, Statistics, Excel Formulas, Plot (Graphics), Business Mathematics, Spreadsheet Software, Data-Driven Decision-Making, Mathematical Theory & Analysis, Algebra, Bayesian Statistics, Arithmetic, Case Studies
★ 4.6 (19) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Health Informatics, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
★ 4.8 (13) · Beginner · Specialization · 1 - 3 Months
Skills you'll gain: Spreadsheet Software, Stakeholder Communications, Dashboard, Stakeholder Management, Data-Driven Decision-Making, Data Analysis, Stakeholder Engagement, Analytical Skills, Business Analysis, Analysis, Expectation Management, Quantitative Research, Problem Solving, Communication Strategies
★ 4.7 (35K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Event-Driven Programming, Graphics Software, Computer Graphics, Video Game Development, Animation and Game Design, Computer Graphic Techniques, Interactive Design, Game Design, Computer Displays, Development Environment, Package and Software Management, Software Installation
★ 4.4 (19) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Plot (Graphics), Prompt Engineering Tools, Large Language Modeling, Text Mining, Retrieval-Augmented Generation, Model Optimization, Data Visualization Software, Fine-tuning, Unstructured Data, Data Processing, Data Analysis
★ 5 (8) · Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Data Analysis, Statistical Reporting, Statistics, Research Design, Statistical Analysis, Microsoft Excel, Descriptive Analytics, Research Methodologies, Statistical Methods, R (Software), Research, R Programming, Data Collection, Research Reports, Correlation Analysis, Data Ethics
★ 4.4 (18) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Python Programming, Applied Machine Learning, Model Optimization, Data Processing, Pandas (Python Package), Data Wrangling, Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Data Science, Dimensionality Reduction, AI Workflows, Unsupervised Learning
★ 4.8 (12) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Quantitative Research, R (Software), Scatter Plots, R Programming, Statistical Visualization, Correlation Analysis, Statistical Programming, Descriptive Statistics, Statistical Analysis, Data Analysis, Data Visualization, Plot (Graphics), Statistics, Statistical Methods, Data Manipulation, Data Import/Export, Data Structures
Beginner · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Model Optimization, Scikit Learn (Machine Learning Library), Model Training, Unsupervised Learning, Text Mining, Time Series Analysis and Forecasting, Pandas (Python Package), Classification Algorithms, Machine Learning, Applied Machine Learning, Supervised Learning, Predictive Modeling, Unstructured Data, Feature Engineering, Jupyter, Regression Analysis, Data Preprocessing, Python Programming
★ 4.6 (45) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Plotly, PyTorch (Machine Learning Library), NumPy, Matplotlib, Object Oriented Programming (OOP), Pandas (Python Package), Plot (Graphics), Data Structures, Unit Testing, Python Programming, File I/O, Data Visualization Software, Algorithms, Interactive Data Visualization, Machine Learning Methods, Test Case, Computational Thinking, Programming Principles, Computer Programming, Code Reusability
Intermediate · Specialization · 3 - 6 Months