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    Free courses can help you learn new skills, explore topics of interest, and take the first step toward your personal or professional goals—without financial commitment.

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    Find the Best Free Course for Your Goals

    • I

      IBM

      Excel Basics for Data Analysis

      Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Visualization Software, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.5K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Introduction to Data Analytics

      Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Data Wrangling, Apache Hive, Data Collection, Data Mart, Data Warehousing, Analytics, Apache Spark, Data Cleansing, Data Lakes, Extract, Transform, Load, Data Visualization Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      19K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      K

      Knowledge Accelerators

      From Excel to Power BI

      Skills you'll gain: Power BI, Dashboard, Data Presentation, Data Visualization Software, Interactive Data Visualization, Data Import/Export, Business Intelligence, Microsoft Excel, Data Analysis, Data-Driven Decision-Making, Data Sharing, Data Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Unlock Access to 10,000+ courses with a subscription.

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    • Status: Free
      Free
      D

      Duke University

      Data Science Math Skills

      Skills you'll gain: Probability, Bayesian Statistics, General Mathematics, Calculus, Graphing, Statistics, Data Science, Data Analysis, Plot (Graphics), Algebra, Geometry, Arithmetic, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      Data Analysis with R Programming

      Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Analysis, Tidyverse (R Package), Statistical Programming, Data Visualization Software, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Data Import/Export, Package and Software Management, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 3 Months

    What brings you to Coursera today?

    • Status: Free
      Free
      S

      Stanford University

      Introduction to Statistics

      Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Data Collection, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Data Analysis with Python

      Skills you'll gain: Data Wrangling, Data Cleansing, Data Analysis, Data Manipulation, Data Import/Export, Exploratory Data Analysis, Data Science, Statistical Analysis, Descriptive Statistics, Regression Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Methods, Data Pipelines, NumPy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of London

      Foundations of Data Science: K-Means Clustering in Python

      Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      716 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      B

      Ball State University

      Introduction to Programming

      Skills you'll gain: Data Analysis, Statistical Analysis, Computer Programming, Python Programming, Object Oriented Programming (OOP), Natural Language Processing, Data Science, Scripting, NumPy, Debugging, Data Manipulation

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California San Diego

      Code Free Data Science

      Skills you'll gain: Predictive Modeling, Data Manipulation, Predictive Analytics, Big Data, Data Mining, Statistical Methods, Data Analysis, Data Science, Data-Driven Decision-Making, Unsupervised Learning, Analytics, Software Installation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      209 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      D

      DeepLearning.AI

      AI Python for Beginners

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Artificial Intelligence, Jupyter, Python Programming, Data Analysis, ChatGPT, Application Development, Generative AI, Scripting, Automation, Computer Programming, Application Programming Interface (API)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      99 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      Foundations of Data Science

      Skills you'll gain: Data Storytelling, Data Ethics, Data Presentation, Data Analysis, Data-Driven Decision-Making, Analytical Skills, Data Science, Project Design, Communication, Business, Business Ethics, Business Workflow Analysis, Stakeholder Communications, Professional Networking, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.1K reviews

      Advanced · Course · 1 - 3 Months

    What brings you to Coursera today?

      Searches related to free

      free courses with certificate
      free data analytics
      free digital marketing
      free project management
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      1234…39

      In summary, here are 10 of our most popular free courses

      • Excel Basics for Data Analysis: IBM
      • Introduction to Data Analytics: IBM
      • From Excel to Power BI: Knowledge Accelerators
      • Data Science Math Skills: Duke University
      • Data Analysis with R Programming: Google
      • Introduction to Statistics: Stanford University
      • Data Analysis with Python: IBM
      • Foundations of Data Science: K-Means Clustering in Python: University of London
      • Introduction to Programming: Ball State University
      • Code Free Data Science: University of California San Diego

      Why Learn with Free Courses?

      Free courses offer an accessible way to explore new topics, build skills, and learn from top institutions—without financial commitment. They can help you discover interests, gain practical knowledge, and take the first step toward larger learning goals. Whether you're starting fresh or advancing existing skills, free learning options give you the freedom to grow on your terms.

      Frequently Asked Questions about Free

      Coursera offers a wide range of free courses across various disciplines, enabling learners to acquire skills in:

      • Technology and Computer Science: Learn programming languages, software development, cybersecurity, and more.
      • Business and Entrepreneurship: Gain insights into business strategies, marketing, finance, and operations management.
      • Health and Wellness: Explore courses in psychology, nutrition, public health, and medical science.
      • Arts and Humanities: Study history, music, philosophy, and visual arts.
      • Data Science: Develop skills in data analysis, machine learning, and statistics.
      • Language Learning: Improve or learn new languages, including English, Spanish, and Chinese.

      These courses are designed to provide valuable educational experiences without the cost, making learning accessible to everyone. ‎

      Most free courses on Coursera are available with various access options, making them accessible to anyone interested in learning:

      • Free Courses: Directly enroll in free courses without any cost. These courses might not include all features like graded assignments or certificates.
      • Free Trials: Some courses offer a 7-day free trial for full access, including features typically reserved for paid subscriptions. After the trial, you can choose to continue with a subscription or cancel.
      • Audit for Free: You can audit many courses, which allows access to all the course materials except graded assignments. Auditing a course is a great way to learn for free without earning a certificate.
      • Enrollment: Users simply need to create a Coursera account to start enrolling in any of these options.

      These courses are perfect for individuals looking to explore new knowledge areas or enhance existing skills without financial commitment, providing flexibility and a variety of learning opportunities. ‎

      While many free courses on Coursera provide access to the same high-quality content as paid courses, there are some limitations:

      • Certificates of Completion: Typically, free courses do not offer a free certificate of completion; however, learners can often opt to pay a fee to obtain a certificate after completing the course.
      • Audit for Free: Learners can audit most courses for free, meaning they can access all course materials without a certificate.
      • Financial Aid: For those who need a certificate but cannot afford the fee, Coursera offers financial aid in some cases.

      Certificates from Coursera can be added to your LinkedIn profile, potentially enhancing your job prospects and professional growth.‎

      Engaging in free courses on Coursera offers several benefits:

      • Skill Development: Enhance personal and professional skills at no cost.
      • Career Advancement: Learn new competencies that can help advance your career or transition to a new field.
      • Lifelong Learning: Engage in continuous learning, which is essential for personal growth and adapting to changing job markets.
      • Flexibility: Study at your own pace and schedule without the pressure of deadlines or exams.

      Free courses are a great way to explore new interests or deepen understanding in a current field, making education accessible and flexible for everyone. ‎

      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.

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