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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: New
      New
      C

      Coursera Instructor Network

      Azure Data Engineering: Cosmos DB, SQL & Analytics

      Skills you'll gain: Dashboard, Azure Synapse Analytics, Microsoft Azure, Transact-SQL, Data Storage, Data Architecture, Performance Tuning, Query Languages, SQL, NoSQL, Cloud-Native Computing, Data Processing, Business Intelligence, Analytics, Cloud Computing Architecture, Data Integration, Data Modeling, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Entrepreneurship

      Skills you'll gain: Growth Strategies, Key Performance Indicators (KPIs), Entrepreneurial Finance, Entrepreneurship, Digital Marketing, Business Valuation, Market Opportunities, Proposal Development, Customer Acquisition Management, Peer Review, Branding, Lean Methodologies, Business Metrics, Marketing Strategies, Financial Analysis, Product Development, Due Diligence, Team Building, Ideation, Private Equity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Introduction to Applied Business Analytics

      Skills you'll gain: Business Analytics, Data Processing, Data Manipulation, Analytics, Data Transformation, Business Intelligence, Business Process, Pandas (Python Package), Data Analysis, Data Literacy, Data Cleansing, Data-Driven Decision-Making, Data Presentation, Technical Communication

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      286 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Data Science Fundamentals

      Skills you'll gain: Data Ethics, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Predictive Analytics, Data Analysis, Classification And Regression Tree (CART), Regression Analysis, Data Mining, Statistical Analysis, Data Science, Social Media, Text Mining, Anomaly Detection, Business Analytics, Decision Tree Learning, Statistical Modeling, Big Data, Analytics, Cloud Computing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      241 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      HTML, CSS, and Javascript for Web Developers

      Skills you'll gain: HTML and CSS, Javascript, Responsive Web Design, Ajax, Front-End Web Development, Web Design, Web Applications, Hypertext Markup Language (HTML), Browser Compatibility, Web Development, Cascading Style Sheets (CSS), Usability, Cross Platform Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Legal Risk Mitigation: Proactive Case Analysis

      Skills you'll gain: Prompt Engineering, Risk Management Framework, Legal Risk, Risk Control, Risk Mitigation, Generative AI, Compliance Management, Governance Risk Management and Compliance, Regulatory Compliance, Legal Strategy, Data Ethics, Law, Regulation, and Compliance, Artificial Intelligence, Ethical Standards And Conduct, Data Analysis

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      O

      O.P. Jindal Global University

      Predictive Analytics and Forecasting

      Skills you'll gain: Predictive Analytics, Dimensionality Reduction, Regression Analysis, Data Mining, Data Processing, Business Analytics, Data-Driven Decision-Making, Forecasting, Statistical Analysis, Demand Planning, Classification And Regression Tree (CART), Customer Analysis, Data Cleansing, Market Analysis, Supervised Learning, Machine Learning Algorithms, Unsupervised Learning

      Build toward a degree

      Mixed · Course · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      More Applied Data Science with Python

      Skills you'll gain: Unsupervised Learning, Large Language Modeling, Dimensionality Reduction, Data Mining, Network Analysis, Text Mining, ChatGPT, Network Model, Natural Language Processing, Big Data, Unstructured Data, Graph Theory, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Anomaly Detection, Statistical Machine Learning, Data Science, Analysis, Algorithms

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Agile Development

      Skills you'll gain: Usability Testing, Agile Product Development, Continuous Delivery, Agile Software Development, User Story, Agile Methodology, Product Testing, Agile Project Management, Team Performance Management, Team Management, Design Thinking, Team Building, Team Leadership, Product Improvement, DevOps, Customer Analysis, Analytics, Business Analytics, Sprint Retrospectives, Product Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medicine

      Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Risk Modeling, Treatment Planning, Data Analysis, Precision Medicine, Decision Tree Learning, Predictive Modeling, Patient Treatment, Image Analysis, Machine Learning Methods, Applied Machine Learning, AI Personalization, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to HTML5

      Skills you'll gain: Hypertext Markup Language (HTML), Web Content Accessibility Guidelines, Web Design and Development, Usability, Semantic Web, Cascading Style Sheets (CSS), Cloud Hosting, Web Servers, Data Validation, Web Development Tools

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data for Business Analysts Using Microsoft Excel

      Skills you'll gain: Excel Formulas, Microsoft Excel, Pivot Tables And Charts, Spreadsheet Software, Data Analysis, Data Presentation, Business Metrics, Data Cleansing, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      203 reviews

      Beginner · Course · 1 - 3 Months

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    1…363738…641

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

    • Azure Data Engineering: Cosmos DB, SQL & Analytics: Coursera Instructor Network
    • Entrepreneurship: University of Pennsylvania
    • Introduction to Applied Business Analytics: University of Illinois Urbana-Champaign
    • Data Science Fundamentals: University of California, Irvine
    • HTML, CSS, and Javascript for Web Developers: Johns Hopkins University
    • GenAI for Legal Risk Mitigation: Proactive Case Analysis: Coursera Instructor Network
    • Predictive Analytics and Forecasting: O.P. Jindal Global University
    • More Applied Data Science with Python: University of Michigan
    • Agile Development: University of Virginia
    • AI for Medicine: DeepLearning.AI

    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.

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