Python Data Science courses can help you learn data manipulation, statistical analysis, machine learning, and data visualization. You can build skills in programming with Python, working with libraries like Pandas and NumPy, and applying algorithms to solve real-world problems. Many courses introduce tools such as Jupyter Notebooks for interactive coding, Matplotlib for creating visualizations, and Scikit-learn for implementing machine learning models, all of which enhance your ability to analyze and interpret complex data sets.
Rice University
Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Manipulation, Data Import/Export
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Tree Maps, Geographic Information Systems, Plotly, Data Analysis, Data Visualization, Interactive Data Visualization, Data Visualization Software, Jupyter, Statistical Analysis, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours
University of Leeds
Skills you'll gain: Data Ethics, Ethical Standards And Conduct, Data-Driven Decision-Making, Responsible AI, Risking, Research Methodologies, Data Governance, Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Science, Machine Learning, Data Analysis, Data Preprocessing, Matlab, Technical Communication, Predictive Modeling, Data Manipulation, Data Import/Export
Intermediate · 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

Skills you'll gain: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Time Series Analysis and Forecasting, Data Import/Export, Jupyter, Microsoft Excel, Data Transformation, Matplotlib, Data Analysis, NumPy, Data Cleansing, Data Preprocessing
Mixed · Course · 1 - 4 Weeks
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Analysis, Statistics, Data Analysis Software, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Statistical Methods, Data Visualization
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Business Intelligence, Excel Macros, Pandas (Python Package), Prompt Engineering, Forecasting, Data Storytelling, Time Series Analysis and Forecasting, Regression Analysis, Data Quality, Responsible AI, ChatGPT, Microsoft Excel, Data Analysis, Report Writing, Interactive Data Visualization, Data Modeling, Generative AI, Data Visualization, Exploratory Data Analysis, Statistical Analysis
Intermediate · Specialization · 3 - 6 Months

Microsoft
Skills you'll gain: Data Analysis Expressions (DAX), Data Modeling, Star Schema, Power BI, Database Design, Data Warehousing, Business Intelligence, Data Analysis, Time Series Analysis and Forecasting, Performance Tuning, Data Visualization
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Literacy, Spreadsheet Software, Stakeholder Communications, Dashboard, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Business Analysis, Expectation Management, Quantitative Research, Problem Solving, Smart Goals
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Seaborn, Data Literacy, Plot (Graphics), Matplotlib, Scatter Plots, Statistical Visualization, Data Presentation, Data Visualization Software, Box Plots, Descriptive Statistics, Exploratory Data Analysis, Statistical Analysis, Pandas (Python Package), NumPy
Mixed · Course · 1 - 4 Weeks