Python for Data Analysis Courses
Python for Data Analysis courses can help you learn data manipulation, statistical analysis, data visualization, and data cleaning techniques. You can build skills in using libraries like Pandas for data handling, NumPy for numerical data processing, and Matplotlib or Seaborn for creating informative graphs. Many courses also cover practical applications such as exploratory data analysis and predictive modeling, allowing you to apply your skills to real datasets and derive actionable insights.
Popular Python for Data Analysis Courses and Certifications
Skills you'll gain: Debugging, Python Programming, Cybersecurity, Scripting, Programming Principles, IT Automation, Algorithms, Automation, Computer Programming, File Management, Data Structures
Duke University
Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science
Skills you'll gain: Data Visualization, Matplotlib, Marketing Analytics, Web Scraping, Social Media Marketing, Python Programming, Social Media, Pandas (Python Package), Text Mining, Trend Analysis, Data Analysis, Data Wrangling, Data Cleansing, Seaborn, Content Performance Analysis, Jupyter
University of California, Davis
Skills you'll gain: Dashboard, Data Storytelling, Tableau Software, Data Presentation, Data Visualization, Advanced Analytics, Stakeholder Analysis, Interactive Data Visualization, Data Visualization Software, Data Literacy, Design Elements And Principles, Exploratory Data Analysis, Proposal Development, Data Ethics, Data Analysis, Visualization (Computer Graphics), Pivot Tables And Charts, Data Mapping, Tree Maps, Storyboarding
University of California, Davis
Skills you'll gain: Presentations, Data Governance, SQL, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Data Quality, Exploratory Data Analysis, Data Pipelines, JSON, Statistical Analysis, Data Modeling, Performance Metric, Database Design, Data Analysis, Complex Problem Solving, Data Visualization
Status: Job SkillsSkills you'll gain: Data Storytelling, Dashboard, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, SQL, Unsupervised Learning, Interactive Data Visualization, Supervised Learning, Data Analysis, Jupyter, Model Evaluation, Data Manipulation, Data Literacy, Data Transformation, Generative AI, Professional Networking, Data Import/Export
Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics
University of Michigan
Skills you'll gain: Unified Modeling Language, JSON, Object Oriented Programming (OOP), File I/O, Software Design, Debugging, Object Oriented Design, Data Processing, Web Scraping, Unit Testing, Programming Principles, Program Development, Python Programming, Data Import/Export, Restful API, Image Analysis, Data Manipulation, Jupyter, Computer Programming, Data Structures
Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Collection, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL
Microsoft
Skills you'll gain: Version Control, GitHub, Debugging, Git (Version Control System), Unit Testing, Data Structures, Data Manipulation, Python Programming, Software Testing, Scripting, Computer Programming, Web Development, Algorithms, Integrated Development Environments, Object Oriented Programming (OOP), Jupyter
Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Prompt Engineering Tools, Data Analysis, Dashboard, Real Time Data, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Data Visualization Software, AI Workflows, AI Personalization, Statistical Analysis, Python Programming, Data Cleansing
Imperial College London
Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export
In summary, here are 10 of our most popular python for data analysis courses
- Automate Cybersecurity Tasks with Python: Google
- Python, Bash and SQL Essentials for Data Engineering: Duke University
- Clean and analyze social media usage data with Python: Coursera
- Data Visualization with Tableau: University of California, Davis
- Learn SQL Basics for Data Science: University of California, Davis
- IBM Data Science: IBM
- Advanced Statistics for Data Science: Johns Hopkins University
- Python 3 Programming: University of Michigan
- Foundations: Data, Data, Everywhere: Google
- Python Programming Fundamentals: Microsoft
