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: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Hugging Face, Generative AI, OpenAI API, Natural Language Processing, Large Language Modeling, OpenAI, LLM Application, Transfer Learning, Embeddings, Python Programming, Model Evaluation
Intermediate · Course · 3 - 6 Months

Vanderbilt University
Skills you'll gain: Data Storytelling, Prompt Engineering, Data Presentation, ChatGPT, Prompt Patterns, Excel Macros, Excel Formulas, Data Synthesis, Microsoft Excel, LLM Application, Productivity, Infographics, OpenAI, Data Visualization, AI Enablement, Spreadsheet Software, Data Analysis, Generative AI, Artificial Intelligence, Data Cleansing
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Trend Analysis, Data Manipulation, Data Analysis, SAS (Software), Analysis, Analytics, Data Visualization, Interactive Data Visualization, Data Visualization Software, Data Presentation, Business Reporting, Graphing, Statistical Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Programming Principles, Data Dictionary, Computational Logic, Data Cleansing, Data Structures, Python Programming, Pseudocode, Data Manipulation, Debugging
Mixed · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Logistic Regression, Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, R (Software), Statistics, Statistical Methods, Data Wrangling, Public Health
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

University of Colorado System
Skills you'll gain: Computational Thinking, Data Analysis, C (Programming Language), Statistical Analysis, Programming Principles, Data Structures, Descriptive Statistics, Data Visualization Software
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Event-Driven Programming, Graphics Software, Computer Graphics, Video Game Development, Computer Graphic Techniques, Development Environment, Debugging, Application Development
Mixed · Course · 1 - 4 Weeks

Maven Analytics
Skills you'll gain: Microsoft Copilot, Microsoft Excel, Pivot Tables And Charts, Excel Formulas, Human Resources Software, Data Manipulation, Data Analysis, Microsoft 365, Data Presentation, ChatGPT, Data Visualization, Artificial Intelligence, Generative AI, Prompt Engineering
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Unsupervised Learning, Text Mining, Time Series Analysis and Forecasting, Pandas (Python Package), Classification Algorithms, Machine Learning, Applied Machine Learning, Supervised Learning, Predictive Modeling, Feature Engineering, Statistical Analysis, Jupyter, Regression Analysis, Data Preprocessing, Python Programming
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Real Time Data, Data Integration, PySpark, Data Pipelines, Data Management, Automation, Data Storage, Jupyter, File Systems, Development Testing, Data Processing, Data Quality
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning
Mixed · Course · 1 - 4 Weeks