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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
      C

      CertNexus

      Build Decision Trees, SVMs, and Artificial Neural Networks

      Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Statistical Machine Learning, Supervised Learning, Computer Vision, Regression Analysis, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Azure Monitoring and Analytics Fundamentals

      Skills you'll gain: System Monitoring, Microsoft Azure, Event Monitoring, Query Languages, Application Performance Management, Cloud Management, Continuous Monitoring, Real Time Data, Interactive Data Visualization, Virtual Machines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Object Oriented Programming in Java

      Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Java, Java Programming, File Management, Application Development, Computer Programming, Program Development, Data Structures, Data Management

      5
      Rating, 5 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Use AI Builder and Power Apps to Process Invoice Data

      Skills you'll gain: Microsoft Power Platform, Business Process Automation, Microsoft 365, Invoicing, Automation, Artificial Intelligence, Document Management, Data Integration, Data Store

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Vector Search with Relational Databases using PostgreSQL

      Skills you'll gain: PostgreSQL, Relational Databases, SQL, NoSQL, Node.JS, Database Management, Data Import/Export, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Università di Napoli Federico II

      Finance

      Skills you'll gain: Market Liquidity, Financial Market, Portfolio Management, Securities Trading, Investments, Securities (Finance), Equities, Capital Markets, Finance, Market Dynamics, Risk Analysis, Economics, Fixed Asset, Market Data, Risk Modeling, Derivatives, Technical Analysis, Asset Management, Risk Management, Statistical Methods

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Virginia

      Mercadeo analítico

      Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Data-Driven Decision-Making, Marketing Strategies, Brand Management, Marketing, Regression Analysis, Analytics, Customer Retention, Consumer Behaviour, Return On Investment, Statistical Analysis, A/B Testing

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      IBM Data Privacy for Information Architecture

      Skills you'll gain: Information Privacy, Data Governance, Law, Regulation, and Compliance, Personally Identifiable Information, Data Security, Data Management, Data Architecture, Data Strategy, Metadata Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      47 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Public Goods, Common Resources, and Externalities

      Skills you'll gain: Economics, Policy, and Social Studies, Supply And Demand, Market Analysis, Economics, Resource Allocation, Environmental Issue, Public Policies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Banco Interamericano de Desarrollo

      Gobierno Digital

      Skills you'll gain: Cybersecurity, Data Management, Interoperability, Digital Transformation, Data Sharing, Public Administration, Governance, Public Key Infrastructure, Self Service Technologies, Identity and Access Management, Service Design, Innovation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      78 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Modeling in AWS

      Skills you'll gain: AWS SageMaker, Predictive Modeling, Applied Machine Learning, Data Modeling, Amazon Web Services, Machine Learning, Machine Learning Algorithms, Performance Tuning

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Using Sensors With Your Raspberry Pi

      Skills you'll gain: Data Processing, Technical Design, Data Science, Embedded Software, Data Cleansing, Data Analysis Software, Statistical Methods, Analytical Skills, Real Time Data, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Mixed · Course · 1 - 4 Weeks

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    1…317318319…631

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

    • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
    • Azure Monitoring and Analytics Fundamentals: Microsoft
    • Object Oriented Programming in Java: IBM
    • Use AI Builder and Power Apps to Process Invoice Data: Coursera Project Network
    • Vector Search with Relational Databases using PostgreSQL: SkillUp EdTech
    • Finance: Università di Napoli Federico II
    • Mercadeo analítico: University of Virginia
    • IBM Data Privacy for Information Architecture: IBM
    • Public Goods, Common Resources, and Externalities: University of Illinois Urbana-Champaign
    • Gobierno Digital: Banco Interamericano de Desarrollo

    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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