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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

      Meta

      Meta Front-End Developer

      Skills you'll gain: Jest (JavaScript Testing Framework), Version Control, UI/UX Research, Usability Testing, Responsive Web Design, Data Structures, Unix Commands, HTML and CSS, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, Bootstrap (Front-End Framework), React.js, Mobile Development, Front-End Web Development, Algorithms, Web Development Tools, Javascript, Cascading Style Sheets (CSS)

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Data Fundamentals DP-900 Exam Prep

      Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Power BI, Databricks, Data Processing, Cloud Services, Data Warehousing, Database Systems, Databases, NoSQL, Database Administration, Relational Databases, MySQL, Data Store, SQL, Cloud Storage, Database Management, Data Storage, Data Lakes, Database Theory

      4.6
      Rating, 4.6 out of 5 stars
      ·
      845 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      A Crash Course in Data Science

      Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      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, Machine Learning, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      726 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      N

      Northeastern University

      Data Privacy Fundamentals

      Skills you'll gain: Information Privacy, Personally Identifiable Information, Data Ethics, Law, Regulation, and Compliance, Journalism, Emerging Technologies, Media and Communications, Internet Of Things, Algorithms, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      688 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rutgers the State University of New Jersey

      Supply Chain Analytics

      Skills you'll gain: Competitive Analysis, Supply Chain, Supply Chain Management, Market Share, Benchmarking, Transportation, Supply Chain, and Logistics, Supply Chain Planning, Customer experience improvement, Analytics, Financial Analysis, Inventory Management System, Data Analysis, Cost Estimation, Data-Driven Decision-Making, Cost Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      807 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      PwC

      Data Visualization with Advanced Excel

      Skills you'll gain: Data Visualization, Data Presentation, Dashboard, Data Storytelling, Data Visualization Software, Microsoft Excel, Spreadsheet Software, Excel Formulas, Graphing, Pivot Tables And Charts, Data Modeling, Databases, Data Analysis, Simulation and Simulation Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, Keras (Neural Network Library), Supervised Learning, Reinforcement Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Generative AI Agents, Natural Language Processing, Tensorflow, Artificial Neural Networks, OpenAI, Deep Learning, Machine Learning, Python Programming, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      The Bits and Bytes of Computer Networking

      Skills you'll gain: Computer Networking, Network Troubleshooting, TCP/IP, Network Architecture, Network Protocols, OSI Models, Network Routing, Network Infrastructure, Dynamic Host Configuration Protocol (DHCP), Virtual Private Networks (VPN), Network Security, Wireless Networks, Network Model, Data Integrity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      52K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Business Intelligence (BI) Analyst

      Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Visualization, Database Design, MySQL, Presentations, Descriptive Statistics, Extract, Transform, Load, Business Intelligence, Data Visualization Software, IBM DB2, Tableau Software, Excel Formulas, Data Analysis, Data Cleansing, Data Wrangling, Data Mining, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      M

      Meta

      Meta Social Media Marketing

      Skills you'll gain: Paid media, Social Media Management, Social Media Marketing, Social Media, Marketing Analytics, Target Audience, Content Creation, Marketing Budgets, Social Media Strategy, Social Media Campaigns, Instagram, Campaign Management, Marketing Effectiveness, Online Advertising, Marketing, Performance Analysis, Key Performance Indicators (KPIs), Goal Setting, Digital Marketing, Brand Management

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Privacy Law and Data Protection

      Skills you'll gain: General Data Protection Regulation (GDPR), Law, Regulation, and Compliance, Information Privacy, Personally Identifiable Information, Regulatory Compliance, Data Security, Health Care Procedure and Regulation, Data Management, Incident Response, Governance, Risk Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      799 reviews

      Mixed · Course · 1 - 4 Weeks

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    1…181920…673

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

    • Meta Front-End Developer: Meta
    • Microsoft Azure Data Fundamentals DP-900 Exam Prep: Microsoft
    • A Crash Course in Data Science: Johns Hopkins University
    • Foundations of Data Science: K-Means Clustering in Python: University of London
    • Data Privacy Fundamentals: Northeastern University
    • Supply Chain Analytics: Rutgers the State University of New Jersey
    • Data Visualization with Advanced Excel: PwC
    • IBM AI Engineering: IBM
    • The Bits and Bytes of Computer Networking: Google
    • IBM Business Intelligence (BI) Analyst: IBM

    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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