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.

University of California San Diego
Skills you'll gain: Data Modeling, Big Data, Data Management, Database Management Systems, Real Time Data, NoSQL, Database Design, Apache Hadoop, Data Structures, Scalability, Virtual Environment
Mixed · Course · 1 - 3 Months

Skills you'll gain: Debugging, Integrated Development Environments, Web Applications, Development Environment, Django (Web Framework), Web Development, Development Testing, Program Development, Software Development Methodologies, Virtual Environment, Scripting, Software Installation, Python Programming
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Data-Driven Decision-Making, Probability Distribution, Descriptive Statistics, Data Analysis, Data Visualization, R (Software), Box Plots, Statistical Methods, Data Manipulation, Probability, Statistical Analysis, Histogram
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Exploratory Data Analysis, R Programming, Predictive Modeling, Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Statistical Methods, Probability & Statistics, Machine Learning, Descriptive Statistics
Mixed · Course · 1 - 3 Months

Skills you'll gain: Tableau Software, Dashboard, Data Visualization Software, Data Visualization, R Programming, Alteryx, Statistical Programming, Data Presentation, Interactive Data Visualization, Data Cleansing, Data Storytelling, Data Structures, Statistical Analysis, Workflow Management, Data Analysis, Scatter Plots, Graphing, Data Manipulation, Data Processing, Data Transformation
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Google Cloud Platform, Unstructured Data, Data Processing, Cloud API, Jupyter, Real Time Data, Python Programming
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Apache Hive, NoSQL, Apache Hadoop, Extract, Transform, Load, Big Data, Data Warehousing, Data Pipelines, Data Infrastructure, Cloud Management, Databases, SQL, Performance Tuning, Data Processing, Real Time Data, Query Languages, Database Management, Data Transformation, Data Analysis Expressions (DAX), Scalability, Distributed Computing
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Dictionary, Data Quality, Data Management, Data Cleansing, Data Validation, Data Governance, Data Literacy, Data Integrity, Case Studies, Communication Strategies, Stakeholder Communications, Cross-Functional Collaboration
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Quantitative Research, Research Methodologies, Data Analysis, Data Quality, Data Transformation, Statistical Analysis, Data Modeling, Data Validation, Statistical Methods
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Data Visualization, Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: JSON, jQuery, Web Development Tools, Browser Compatibility, UI Components
Intermediate · Course · 1 - 4 Weeks

University of Colorado System
Skills you'll gain: Marketing Analytics, Probability & Statistics, Statistical Methods, Regression Analysis, Data-Driven Decision-Making, Data Ethics, Statistical Analysis, Marketing Effectiveness, Statistical Hypothesis Testing, Customer Insights, Customer Analysis, Correlation Analysis, Descriptive Statistics, Data Analysis, Analytics, Marketing Strategies, Exploratory Data Analysis, Statistical Visualization, Statistical Modeling
Intermediate · Course · 1 - 4 Weeks