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    • Data Analytics

    Data Analytics Courses

    Data analytics courses can help you learn how to collect, interpret, and visualize data to uncover insights and support decision-making across industries.

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    Find the Best Data Analytics Course for Your Goals

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Analysis and Visualization of Data with Power BI

      Skills you'll gain: Dashboard, Power BI, Data Presentation, Data Visualization Software, Data Storytelling, Data Visualization, Interactive Data Visualization, Advanced Analytics, Data Analysis, Business Intelligence, Statistical Reporting

      Beginner · Course · 1 - 3 Months

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Practical Python for AI Coding 2

      Skills you'll gain: Matplotlib, Data Visualization, Tensorflow, NumPy, Pandas (Python Package), Object Oriented Programming (OOP), Seaborn, Python Programming, Keras (Neural Network Library), Artificial Intelligence, Scikit Learn (Machine Learning Library), Data Manipulation, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Frozen in the Ice: Exploring the Arctic

      Skills you'll gain: Environmental Issue, Systems Thinking, Cultural Sensitivity, Environmental Monitoring, International Relations, Mathematical Modeling, Environmental Science, Biology, Scientific Methods, Physics, Research, Chemistry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Object-Oriented Java: Inheritance and Encapsulation

      Skills you'll gain: Object Oriented Programming (OOP), Java, Computer Programming, Data Validation, Maintainability

      4.3
      Rating, 4.3 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Social Media Campaigns with AI: From Strategy to Design

      Skills you'll gain: Prompt Engineering, Canva (Software), Social Media Campaigns, Instagram, Social Media Marketing, Social Media Content, Social Media Strategy, Content Creation, Branding, ChatGPT, Generative AI Agents, Design Elements And Principles, Data Import/Export

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Modern JavaScript: Iterators and Generators

      Skills you'll gain: Javascript, Data Structures, Scripting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • M

      Macquarie University

      Compétences Excel professionnelles : Intermédiaire I

      Skills you'll gain: Microsoft Excel, Dashboard, Excel Formulas, Spreadsheet Software, Data Visualization, Consolidation, Automation, Data Analysis Software, Productivity Software, Data Management, Data Cleansing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Interactive Brokers

      ESG Investing: Industry Impacts & Transformations

      Skills you'll gain: Environmental Social And Corporate Governance (ESG), Financial Market, Market Trend, Market Analysis, Corporate Sustainability, Governance, Investment Management, Transportation Operations, Portfolio Management, Credit Risk, Business Transformation, Supply And Demand, Emerging Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Slides en Español

      Skills you'll gain: Presentations, Sales Presentations, Product Demonstration, Productivity Software, Version Control, Collaborative Software, Document Management, Data Visualization, Multimedia, Data Sharing, File Management, Constructive Feedback

      4.9
      Rating, 4.9 out of 5 stars
      ·
      40 reviews

      Beginner · Course · 1 - 3 Months

    • W

      Whizlabs

      AWS DynamoDB Fundamentals

      Skills you'll gain: Amazon DynamoDB, Amazon Web Services, NoSQL, Operational Databases, Database Management, Database Design, Transaction Processing, Query Languages, JSON, Data Storage, Disaster Recovery, Data Manipulation, Scalability

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Managing Azure Infrastructure: Storage, Monitoring & Backup

      Skills you'll gain: Patch Management, Microsoft Azure, Disaster Recovery, System Monitoring, Cloud Storage, Infrastructure As A Service (IaaS), File Management, Data Storage, Cloud Security, Continuous Monitoring, Event Monitoring, Virtual Machines, Data Security, Encryption, Query Languages

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Institut Mines-Télécom

      La Data Intelligence au service des organisations

      Skills you'll gain: General Data Protection Regulation (GDPR), Digital Transformation, Data Management, Data Governance, Data Quality, Data Modeling, Business Intelligence, Data Strategy, Business Analytics, Information Privacy, Data-Driven Decision-Making, Artificial Intelligence, Big Data

      4.1
      Rating, 4.1 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular data analytics courses

    • Analysis and Visualization of Data with Power BI: Microsoft
    • Practical Python for AI Coding 2: Korea Advanced Institute of Science and Technology(KAIST)
    • Frozen in the Ice: Exploring the Arctic: University of Colorado Boulder
    • Object-Oriented Java: Inheritance and Encapsulation: Codio
    • Social Media Campaigns with AI: From Strategy to Design: Coursera Project Network
    • Modern JavaScript: Iterators and Generators: Coursera Project Network
    • Compétences Excel professionnelles : Intermédiaire I: Macquarie University
    • ESG Investing: Industry Impacts & Transformations: Interactive Brokers
    • Google Slides en Español: Google Cloud
    • AWS DynamoDB Fundamentals: Whizlabs

    Why Learn Data Analytics?

    Data analytics is the process of examining raw data to find trends, patterns, and actionable insights. It’s a key driver in business, healthcare, finance, and technology, helping organizations make informed decisions. Learning data analytics can equip you with tools for solving problems, measuring outcomes, and creating value in a data-driven world.

    Frequently Asked Questions about Data Analytics

    Top options include the Google Data Analytics Professional Certificate, Introduction to Data Analytics from IBM, and Data Analytics Professional Certificate from DeepLearning.AI. These programs cover data cleaning, analysis, visualization, and tools like Excel, SQL, Python, and Tableau.‎

    Yes. Many data analytics courses offer a free audit option. Learners can access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to upgrade or apply for financial aid.‎

    You’ll learn how to collect, organize, and interpret data to support decision-making. Topics include data wrangling, descriptive statistics, data visualization, and using analytics tools such as spreadsheets, SQL databases, R, or Python.‎

    Not at all. Many beginner-friendly courses are designed for learners with no prior experience and provide step-by-step instruction. More advanced courses are also available for those with a background in math, programming, or business.‎

    Yes. Data analytics is one of the most in-demand skill sets in business, tech, finance, and healthcare. Coursera courses can help you build a portfolio, earn job-ready certificates, and develop skills that support roles like data analyst, business analyst, or operations specialist.‎

    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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