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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
      U

      University of Virginia

      Product Analytics and AI

      Skills you'll gain: Customer Analysis, Analytics, Usability Testing, Product Management, Customer Insights, A/B Testing, Product Development, Agile Methodology, User Experience, Customer Demand Planning, Advanced Analytics, AI Personalization, Data-Driven Decision-Making, Data Science, Product Testing, Agile Software Development, Software Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      485 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM DevOps and Software Engineering

      Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Software Development Life Cycle, Continuous Integration, Linux Commands, Agile Software Development, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Kubernetes, Git (Version Control System), Flask (Web Framework), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      61K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Full Stack Software Developer

      Skills you'll gain: Prompt Engineering, Istio, Software Development Life Cycle, Node.JS, Cloud Computing Architecture, Server Side, Application Deployment, React Redux, Kubernetes, Cloud Services, Django (Web Framework), Software Architecture, Object-Relational Mapping, Git (Version Control System), Flask (Web Framework), Full-Stack Web Development, Cascading Style Sheets (CSS), Cloud Computing, Data Import/Export, Engineering Software

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      56K reviews

      Beginner · Professional Certificate · 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: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Back-End Development

      Skills you'll gain: Istio, Open Web Application Security Project (OWASP), Software Development Life Cycle, Linux Commands, Application Deployment, NoSQL, Kubernetes, Bash (Scripting Language), MongoDB, Shell Script, Django (Web Framework), Software Architecture, Object-Relational Mapping, Development Environment, Git (Version Control System), Flask (Web Framework), Grafana, Microservices, Data Import/Export, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      50K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Linux Commands, Bash (Scripting Language), Shell Script, Software Architecture, Development Environment, Git (Version Control System), GitHub, Flask (Web Framework), Unit Testing, Version Control, File Management, Engineering Software, Unix Shell, Linux, Application Deployment, Data Import/Export, Programming Principles, Web Scraping, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • V

      Vanderbilt University

      Data Management for Clinical Research

      Skills you'll gain: Clinical Data Management, Data Capture, Clinical Research, Data Management, Data Collection, Data Sharing, Data Strategy, Data Quality, Sampling (Statistics), Data Integrity, Data Validation, Regulatory Compliance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Foundations for Everyone

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, OpenAI, Workflow Management, Machine Learning, Application Deployment, Large Language Modeling, IBM Cloud, Artificial Intelligence, Program Development, Natural Language Processing, Deep Learning, Business Process Automation, Automation, Customer Service, Content Creation, Market Opportunities, Image Analysis, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      29K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      29K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Crash Course on Python

      Skills you'll gain: Programming Principles, Python Programming, Computer Programming, Computational Thinking, Algorithms, Problem Management, Data Structures, Integrated Development Environments, Debugging, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Data Analytics with Teradata

      Skills you'll gain: Teradata SQL, Exploratory Data Analysis, SQL, Data Modeling, Database Design, Database Administration, Database Architecture and Administration, Database Management, Database Management Systems, Data Store, JSON, Data Integration, Data Architecture, Advanced Analytics, Data Warehousing, Data Cleansing, Text Mining, Data Analysis, Business Intelligence, Data-Driven Decision-Making

      Beginner · Specialization · 1 - 3 Months

    • 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
      ·
      724 reviews

      Beginner · Course · 1 - 3 Months

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    1…101112…338

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

    • Product Analytics and AI: University of Virginia
    • IBM DevOps and Software Engineering: IBM
    • IBM Full Stack Software Developer: IBM
    • A Crash Course in Data Science: Johns Hopkins University
    • IBM Back-End Development: IBM
    • Applied Software Engineering Fundamentals: IBM
    • Data Management for Clinical Research: Vanderbilt University
    • AI Foundations for Everyone: IBM
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Crash Course on Python: Google

    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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