• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Online Degrees
  • Careers
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Data Analysis With Python

    Data Analysis & Python Courses Online

    Explore data analysis techniques using Python. Learn to clean, analyze, and visualize data with libraries like Pandas and Matplotlib.

    Skip to search results

    Filter by

    Subject
    Required
     *

    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *

    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn career credentials while taking courses that count towards your Master’s degree.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
    Complete graduate-level learning without committing to a full degree program.
    Earn a university-issued career credential in a flexible, interactive format.
    Graduate level learning within reach.

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Explore the Data Analysis & Python Course Catalog

    • Placeholder
      C

      Coursera Project Network

      Audience Demographics with Facebook Audience Insights

      Skills you'll gain: Target Audience, Facebook, Web Analytics, Social Media Marketing, Customer Insights, Social Media, Advertising, Marketing, Performance Analysis, Performance Metric

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Michigan

      Muestreo de personas, redes y registros

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Statistical Methods, Quantitative Research, Statistical Analysis, Probability & Statistics, Research Design, Statistical Software, Network Analysis

      Beginner · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Evolución: Teoría sintética

      Skills you'll gain: Life Sciences, Liberal Arts, Social Studies, Deductive Reasoning, Anthropology, Scientific Methods, General Science and Research, Mathematical Modeling, Cultural Diversity, Science and Research, Statistical Analysis, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Software Engineering Teams

      Skills you'll gain: Software Development Tools, Software Development Methodologies, Agile Project Management, Agile Methodology, Software Engineering, Software Engineering Tools, Data Ethics, Generative AI, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Use Wakelet to Curate Learning Collections

      Skills you'll gain: Student Engagement, Information Architecture, Organizational Skills, Content Management

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Project Network

      AI Sales Calling with Vapi: Automated SAAS Demo Scheduler

      Skills you'll gain: JSON, Outbound Calls, Application Programming Interface (API), Setting Appointments, Systems Integration, Sales Development, Sales, Marketing Automation, Business Process Automation, Automation, Scheduling, Personalized Service

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      U

      University of Maryland, College Park

      Managing Conflicts with Cultural and Emotional Intelligence

      Skills you'll gain: Persuasive Communication, Conflict Management, Emotional Intelligence, Stakeholder Management, Cultural Diversity, Relationship Management, Team Management, Cultural Sensitivity, Interpersonal Communications, Influencing, Communication, Self-Awareness, Problem Solving, Decision Making

      Beginner · Course · 1 - 3 Months

    • Placeholder
      W

      Whizlabs

      Azure: Security Operations Management

      Skills you'll gain: Microsoft Azure, Identity and Access Management, Network Security, Cloud Security, Azure Active Directory, Security Management, Security Information and Event Management (SIEM), Firewall, Continuous Monitoring, Key Management, Incident Response, Threat Detection, Virtual Machines

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      C

      Coursera Project Network

      Book Vacation with Power Automate Multilevel Approval Flow

      Skills you'll gain: Microsoft Power Automate/Flow, Workflow Management, Data Sharing, Product Testing, Document Management, Process Design, Business Process Automation, Microsoft 365

      Beginner · Guided Project · Less Than 2 Hours

    • Placeholder
      G

      Google Cloud

      Build an End-to-End Data Capture Pipeline using Document AI

      Skills you'll gain: Data Processing, Google Cloud Platform, Data Store, Data Pipelines, Data Capture, Unstructured Data, Cloud API, Geographic Information Systems, Cloud-Based Integration, Document Management, Serverless Computing

      Beginner · Project · Less Than 2 Hours

    • Placeholder
      L

      LearnQuest

      Strategic Edge Security Management

      Skills you'll gain: Continuous Monitoring, Security Management, Security Strategy, Risk Management Framework, Cyber Risk, Threat Management, Cyber Security Strategy, System Monitoring, Cloud Security, Security Requirements Analysis, Cybersecurity, Security Controls, Incident Response, Cloud Standards, Scalability

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      U

      University of Michigan

      Translating Research to Communities

      Skills you'll gain: Epidemiology, Health Care, Health Systems, Research, Community and Social Work, Policty Analysis, Research, and Development, Research Methodologies, Science and Research, Cultural Sensitivity, Data-Driven Decision-Making

      Beginner · Course · 1 - 4 Weeks

    Data Analysis With Python learners also search

    Python for Data Analysis
    Data Analysis
    Analysis
    R
    Data
    Beginner Data Analysis
    Beginner Data Analysis
    Data Analysis Projects
    1…829830831…834

    In summary, here are 10 of our most popular data analysis with python courses

    • Audience Demographics with Facebook Audience Insights : Coursera Project Network
    • Muestreo de personas, redes y registros: University of Michigan
    • Evolución: Teoría sintética: Universidad Nacional Autónoma de México
    • GenAI for Software Engineering Teams: Coursera Instructor Network
    • Use Wakelet to Curate Learning Collections: Coursera Project Network
    • AI Sales Calling with Vapi: Automated SAAS Demo Scheduler: Coursera Project Network
    • Managing Conflicts with Cultural and Emotional Intelligence: University of Maryland, College Park
    • Azure: Security Operations Management: Whizlabs
    • Book Vacation with Power Automate Multilevel Approval Flow: Coursera Project Network
    • Build an End-to-End Data Capture Pipeline using Document AI: Google Cloud

    Frequently Asked Questions about Data Analysis With Python

    Data analysis with Python refers to the process of manipulating, analyzing, and interpreting data using Python programming language and its various libraries and tools specifically designed for data manipulation and analysis, such as Pandas, NumPy, and Matplotlib.

    With Python's powerful data analysis capabilities, individuals can efficiently work with large and complex datasets, perform data cleaning and preprocessing tasks, apply statistical analysis techniques, build predictive models, and visualize data. Python's simplicity, versatility, and extensive library ecosystem make it a popular choice among data analysts and scientists.

    By mastering data analysis with Python, individuals can leverage their skills for a wide range of applications, including business intelligence, market research, finance, healthcare, social sciences, and more. They can extract valuable insights from data, make data-driven decisions, and contribute to data-driven strategies within organizations.

    Various resources, such as online tutorials, books, and courses, are available to learn data analysis with Python. These resources cover topics such as data manipulation, exploratory data analysis, statistical analysis, data visualization, machine learning, and more, enabling users to acquire the necessary skills to become proficient data analysts using Python.‎

    To become proficient in Data Analysis with Python, there are several skills you should focus on developing:

    1. Python Programming: Familiarize yourself with the basics of Python programming language, including data types, control flow, loops, functions, and modules. Understanding Python syntax and effective coding practices will be necessary throughout your data analysis journey.

    2. Data Manipulation and Cleaning: Gain expertise in using Python libraries such as NumPy and Pandas for data manipulation, cleaning, and wrangling tasks. You should understand how to load, manipulate, filter, and transform datasets to prepare them for analysis.

    3. Data Visualization: Learn data visualization techniques using Python libraries like Matplotlib and Seaborn. These libraries will enable you to create insightful and visually appealing charts, graphs, and plots to communicate your analysis effectively.

    4. Statistical Analysis: Acquire a solid foundation in statistics, including concepts like probability, hypothesis testing, confidence intervals, and correlation. Utilize Python libraries like SciPy and Statsmodels to perform statistical analysis on your datasets.

    5. Machine Learning: Familiarize yourself with the basics of machine learning algorithms and techniques. Python libraries such as scikit-learn will allow you to apply machine learning models to analyze and predict patterns in your data.

    6. SQL and Database Management: Understand the fundamentals of SQL (Structured Query Language) and database management systems. Python libraries like SQLAlchemy will enable you to interact with and analyze data stored in databases effectively.

    7. Data Extraction and Web Scraping: Learn how to extract data from various sources, including websites, APIs, and files. Python libraries such as BeautifulSoup and Scrapy can assist in web scraping tasks.

    8. Problem-Solving and Critical Thinking: Data analysis often involves complex problems and requires critical thinking and problem-solving skills. Sharpen these skills by practicing real-world data analysis projects and challenges.

    By honing these skills, you will be well-equipped to perform data analysis using Python and embark on a successful career in this field. Remember that continuous learning and practical application are key to mastering these skills effectively.‎

    With data analysis and Python skills, you can pursue various job opportunities in the field of data analysis and data science. Some of the common job roles include:

    1. Data Analyst: As a data analyst, you will interpret and analyze complex data sets using Python to create reports, identify trends, and provide insights for decision-making processes.

    2. Data Scientist: With data analysis and Python skills, you can work as a data scientist. This role involves analyzing large and unstructured data sets, building predictive models, and designing algorithms to solve complex business problems.

    3. Business Analyst: Data analysis skills combined with Python can also qualify you for a business analyst role. In this position, you will analyze data to identify opportunities for business improvement, create data-driven strategies, and make data-backed recommendations.

    4. Data Engineer: Data engineers build and maintain data pipelines, databases, and warehouses. Your Python skills would be valuable for developing automated data processing and transformation workflows.

    5. Machine Learning Engineer: With Python and data analysis skills, you can work as a machine learning engineer. This role focuses on developing and deploying machine learning models to solve business problems.

    6. Data Visualization Specialist: Data analysis skills combined with Python expertise can make you an ideal candidate for roles involving data visualization. You would use Python's data visualization libraries to create visually compelling charts and dashboards.

    7. Research Analyst: As a research analyst, you can dive into data using Python and statistical analysis techniques to conduct market research, identify patterns or trends, and present findings to support decision-making.

    These are just a few examples of the jobs you can pursue with data analysis and Python skills. The demand for professionals with these competencies is growing across different industries as organizations increasingly rely on data-driven decision-making processes.‎

    People who are best suited for studying Data Analysis with Python are those who have a strong analytical mindset and enjoy working with numbers and data. They should have a basic understanding of programming concepts and a willingness to learn and explore new technologies. Additionally, individuals with a background in statistics or mathematics may find it easier to grasp the concepts involved in data analysis. Good problem-solving skills and attention to detail are also important qualities for success in this field.‎

    Here are some topics that are related to Data Analysis with Python:

    1. Python Programming: It is essential to have a good knowledge of Python to perform data analysis using Python libraries such as Pandas, NumPy, and Matplotlib.

    2. Data Manipulation and Cleaning: Learn how to clean and preprocess data, handle missing values, deal with outliers, and perform data transformations using Python libraries like Pandas.

    3. Exploratory Data Analysis (EDA): Explore and understand your data through statistical summaries, visualizations, and descriptive statistics with Python libraries like Pandas, Matplotlib, and Seaborn.

    4. Data Visualization: Learn how to create informative and appealing visualizations using Python libraries like Matplotlib, Seaborn, and Plotly to convey insights from data.

    5. Statistical Analysis: Understand essential statistical concepts and learn how to apply statistical techniques for data analysis using Python libraries such as NumPy, SciPy, and Pandas.

    6. Machine Learning: Dive into machine learning algorithms, such as regression, classification, clustering, and dimensionality reduction, using Python libraries like Scikit-learn, Tensorflow, and Keras.

    7. Time Series Analysis: Learn how to analyze and model time series data using Python libraries like Pandas, Statsmodels, and Prophet.

    8. Natural Language Processing (NLP): Explore techniques for processing and analyzing text data using Python libraries like NLTK, SpaCy, and Gensim.

    9. Web Scraping: Learn how to extract data from websites using Python libraries like Beautiful Soup and Scrapy for data collection and analysis.

    10. Big Data Processing: Get familiar with technologies like Apache Spark and Dask to handle and analyze large-scale datasets efficiently using Python.

    Remember, this list is not exhaustive, and there are many other subtopics and specialized areas you can explore within the realm of Data Analysis with Python.‎

    Online Data Analysis with Python courses offer a convenient and flexible way to enhance your knowledge or learn new Data analysis with Python refers to the process of manipulating, analyzing, and interpreting data using Python programming language and its various libraries and tools specifically designed for data manipulation and analysis, such as Pandas, NumPy, and Matplotlib.

    With Python's powerful data analysis capabilities, individuals can efficiently work with large and complex datasets, perform data cleaning and preprocessing tasks, apply statistical analysis techniques, build predictive models, and visualize data. Python's simplicity, versatility, and extensive library ecosystem make it a popular choice among data analysts and scientists.

    By mastering data analysis with Python, individuals can leverage their skills for a wide range of applications, including business intelligence, market research, finance, healthcare, social sciences, and more. They can extract valuable insights from data, make data-driven decisions, and contribute to data-driven strategies within organizations.

    Various resources, such as online tutorials, books, and courses, are available to learn data analysis with Python. These resources cover topics such as data manipulation, exploratory data analysis, statistical analysis, data visualization, machine learning, and more, enabling users to acquire the necessary skills to become proficient data analysts using Python. skills. Choose from a wide range of Data Analysis with Python courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Data Analysis with Python, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

    Other topics to explore

    Placeholder
    Arts and Humanities
    338 courses
    Placeholder
    Business
    1095 courses
    Placeholder
    Computer Science
    668 courses
    Placeholder
    Data Science
    425 courses
    Placeholder
    Information Technology
    145 courses
    Placeholder
    Health
    471 courses
    Placeholder
    Math and Logic
    70 courses
    Placeholder
    Personal Development
    137 courses
    Placeholder
    Physical Science and Engineering
    413 courses
    Placeholder
    Social Sciences
    401 courses
    Placeholder
    Language Learning
    150 courses

    Coursera Footer

    Technical Skills

    • ChatGPT
    • Coding
    • Computer Science
    • Cybersecurity
    • DevOps
    • Ethical Hacking
    • Generative AI
    • Java Programming
    • Python
    • Web Development

    Analytical Skills

    • Artificial Intelligence
    • Big Data
    • Business Analysis
    • Data Analytics
    • Data Science
    • Financial Modeling
    • Machine Learning
    • Microsoft Excel
    • Microsoft Power BI
    • SQL

    Business Skills

    • Accounting
    • Digital Marketing
    • E-commerce
    • Finance
    • Google
    • Graphic Design
    • IBM
    • Marketing
    • Project Management
    • Social Media Marketing

    Career Resources

    • Essential IT Certifications
    • High-Income Skills to Learn
    • How to Get a PMP Certification
    • How to Learn Artificial Intelligence
    • Popular Cybersecurity Certifications
    • Popular Data Analytics Certifications
    • What Does a Data Analyst Do?
    • Career Development Resources
    • Career Aptitude Test
    • Share your Coursera Learning Story

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact
    • Free Courses
    • ECTS Credit Recommendations

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Manage Cookie Preferences
    Learn Anywhere
    Placeholder
    Placeholder
    Placeholder
    © 2025 Coursera Inc. All rights reserved.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder