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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
      Status: Preview
      Preview
      S

      Simplilearn

      Data Analytics Course with Generative AI

      Skills you'll gain: Extract, Transform, Load, Generative AI, Predictive Modeling, Advanced Analytics, Exploratory Data Analysis, Data Storytelling, Analytics, Data Integration, Real Time Data, Predictive Analytics, Data-Driven Decision-Making, Data Pipelines, Data Analysis, ChatGPT, Forecasting, Descriptive Analytics, Data Synthesis, Data Transformation, Data Quality

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      G

      Google

      Google Data Analytics

      Skills you'll gain: Data Presentation, Rmarkdown, Data Storytelling, Data Cleansing, Data Visualization, Data Validation, Data Integrity, Interactive Data Visualization, Data Ethics, Ggplot2, R Programming, Dashboard, Data Quality, Stakeholder Communications, Data Literacy, Data Analysis, SQL, Interviewing Skills, Analytical Skills, Applicant Tracking Systems

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      172K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Analytics

      Skills you'll gain: Data Storytelling, Data Visualization, Extract, Transform, Load, Data Visualization Software, Data Analysis, Statistical Analysis, Big Data, Data Wrangling, Data Processing, Data Mining, Analytics, Data Warehousing, Business Analytics, Data Science, Data Cleansing, Data Lakes, Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      19K reviews

      Beginner · Course · 1 - 3 Months

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

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, SQL, Data Visualization, Data Wrangling, Extract, Transform, Load, Pivot Tables And Charts, Matplotlib, Exploratory Data Analysis, Predictive Modeling, Relational Databases, Data Visualization Software, Data Analysis, Data Cleansing, Data Ethics, Dashboard, Jupyter, IBM Cognos Analytics, Microsoft Excel, Python Programming, Interviewing Skills

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      94K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      D

      DeepLearning.AI

      DeepLearning.AI Data Analytics

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization, Data Presentation, Analytics, Data Literacy, Data Analysis, Google Sheets, Regression Analysis, Statistical Analysis, Spreadsheet Software, LinkedIn, Statistics, Statistical Hypothesis Testing, Web Scraping, Pandas (Python Package), Relational Databases, Data Ethics, Time Series Analysis and Forecasting, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      150 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Excel Basics for Data Analysis

      Skills you'll gain: Data Cleansing, Excel Formulas, Data Quality, Data Analysis, Business Analytics, Microsoft Excel, Analytical Skills, Data Manipulation, Spreadsheet Software, Pivot Tables And Charts, Data Entry, Data Science, Data Integrity, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10K reviews

      Beginner · Course · 1 - 3 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      M

      Meta

      Introduction to Data Analytics

      Skills you'll gain: Business Metrics, Data Storytelling, Key Performance Indicators (KPIs), Data Visualization, Data Cleansing, Analytics, Data Analysis, Data Modeling, Data Quality, Business Analysis, Exploratory Data Analysis, Data Manipulation, Data-Driven Decision-Making, Generative AI, Data Management, Data Collection, Marketing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      922 reviews

      Beginner · Course · 1 - 3 Months

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

      Microsoft

      Microsoft Power BI Data Analyst

      Skills you'll gain: Power BI, Datamaps, Microsoft Excel, Microsoft Power Platform, Data Analysis, Data Visualization, Data Collection, Business Intelligence, Data Integration, Data Pipelines, Application Deployment, Database Design, Data Manipulation, Data Security, Microsoft 365, Timelines, Business Modeling, Data Mapping, Business Analytics, SQL

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.9K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Web Scraping, Python Programming, Data Collection, Object Oriented Programming (OOP), Pandas (Python Package), Programming Principles, Data Structures, NumPy, Data Processing, Data Manipulation, Application Programming Interface (API), Data Import/Export, Computer Programming, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      42K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Storytelling, Data Visualization, Dashboard, Extract, Transform, Load, Database Design, Shiny (R Package), Pivot Tables And Charts, SQL, Rmarkdown, Data Analysis, Ggplot2, Data Wrangling, Data Visualization Software, Relational Databases, Leaflet (Software), IBM Cognos Analytics, Data Cleansing, Excel Formulas, Web Scraping, Data Manipulation

      Build toward a degree

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

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations: Data, Data, Everywhere

      Skills you'll gain: Data Ethics, Data Analysis, Data-Driven Decision-Making, Data Literacy, Analytics, Spreadsheet Software, Business Analytics, Data Cleansing, Exploratory Data Analysis, Data Collection, Data Processing, Query Languages, Data Visualization Software, Data Visualization, SQL

      4.8
      Rating, 4.8 out of 5 stars
      ·
      117K reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Getting Started in Google Analytics

      Skills you'll gain: Google Analytics, Web Analytics and SEO, Marketing Analytics, Analytics, Data Presentation, Data Analysis, User Accounts

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.5K reviews

      Beginner · Guided Project · Less Than 2 Hours

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    1234…349

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

    • Data Analytics Course with Generative AI: Simplilearn
    • Google Data Analytics: Google
    • Introduction to Data Analytics: IBM
    • IBM Data Analyst: IBM
    • DeepLearning.AI Data Analytics: DeepLearning.AI
    • Excel Basics for Data Analysis: IBM
    • Introduction to Data Analytics: Meta
    • Microsoft Power BI Data Analyst: Microsoft
    • Python for Data Science, AI & Development: IBM
    • IBM Data Analytics with Excel and R: 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.

    Frequently Asked Questions about Data Analytics

    Start by identifying your goals—whether you want to analyze data for business decisions, transition into a data analyst role, or explore tools like Excel, SQL, or Python.

    • For a career-oriented path, consider the Google Data Analytics Professional Certificate, which covers core tools and skills for entry-level jobs.
    • If you’re looking to apply analytics in business settings, explore Data-Driven Decision Making from the University of Colorado Boulder.
    • For a accounting applications, Introduction to Data Analytics for Accounting Professionals is a great option for skill-building.‎

    These beginner-friendly courses are ideal for those new to analytics or working with data:

    • Google Data Analytics Professional Certificate – A structured, beginner-level path with practical projects and no prior experience required.
    • Introduction to Data Analytics from IBM – Great for understanding what data analytics is and how it’s used across industries.
    • Introduction to Data Analytics for Business by the University of Colorado – Designed for business professionals exploring data-driven thinking.‎
    • A course offers targeted learning on a single topic, such as Fundamentals of Data Analysis.
    • A Specialization provides a sequence of courses that build comprehensive skills—like Excel Skills for Data Analytics and Visualization Specialization.
    • A Professional Certificate prepares you for job roles through career-aligned training, projects, and support—like IBM Data Analyst Professional Certificate.‎

    Click here to ask ChatGPT to find the right data analytics course on Coursera for your learning goals.‎

    Yes. You can start learning data analytics on Coursera for free in two ways:

    • Preview the first module of many data analytics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
    • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs.

    If you want to keep learning, earn a certificate in data analytics, or unlock full course access after the preview or trial, you can 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.‎

    Real-time analytics is the process of analyzing data immediately as it’s created or received. It’s used to make instant decisions in areas like fraud detection, live customer support, and system monitoring.‎

    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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