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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

  • C

    Coursera Project Network

    Introduction to Data Analysis using Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Microsoft Office, Data Mining

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.3K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Getting Started in Google Analytics

    Skills you'll gain: Google Analytics, Web Analytics, Content Performance Analysis, Marketing Analytics, Dashboard, User Accounts

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

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Create Charts and Dashboards Using Microsoft Excel

    Skills you'll gain: Dashboard, Microsoft Excel, Microsoft 365, Microsoft Office, Spreadsheet Software, Data Visualization, Trend Analysis, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    985 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera Project Network

    Power BI for Beginners: Build your First Report

    Skills you'll gain: Data Transformation, Power BI, Data Manipulation, Data Cleansing, Dashboard, Data Visualization, Data Import/Export, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Modeling, Microsoft Power Platform

    4.6
    Rating, 4.6 out of 5 stars
    ·
    143 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera Project Network

    Perform exploratory data analysis on retail data with Python

    Skills you'll gain: Data-Driven Decision-Making, Data Visualization, Business Analytics, Data Analysis, Data Cleansing, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Matplotlib, Data Manipulation, Customer Analysis, Analytical Skills, Trend Analysis, Pandas (Python Package), Python Programming, Jupyter

    4.5
    Rating, 4.5 out of 5 stars
    ·
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera Project Network

    Analyze Data in a Model Car Database with MySQL Workbench

    Skills you'll gain: MySQL Workbench, Data-Driven Decision-Making, Exploratory Data Analysis, MySQL, Business Analytics, Data Analysis, Database Design, SQL, Analytical Skills, Data Presentation, Technical Communication, Relational Databases

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Intermediate · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

  • C

    Coursera Project Network

    Overview of Data Visualization

    Skills you'll gain: Data Visualization, Data Literacy, Data Presentation, Google Sheets, Data Compilation, Data Visualization Software, Graphing, Spreadsheet Software

    4.7
    Rating, 4.7 out of 5 stars
    ·
    433 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera Project Network

    How To Visualize Your Data Using Microsoft Powerpoint

    Skills you'll gain: Presentations, Microsoft PowerPoint, Data Visualization, Data Storytelling, Video Editing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    257 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Introduction to Business Analysis Using Spreadsheets: Basics

    Skills you'll gain: Google Sheets, Data Visualization, Spreadsheet Software, Data Presentation, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Statistics, Excel Formulas, Data Cleansing, Mathematical Software

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Custom Reports in Google Analytics

    Skills you'll gain: Google Analytics, Ad Hoc Reporting, Management Reporting, Performance Reporting, Web Analytics, Marketing, Web Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    168 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Analyze Website Visitors with Google Analytics Segments

    Skills you'll gain: Google Analytics, Web Analytics, Marketing Analytics, Customer Insights, Analysis, Target Audience, Marketing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    124 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera Project Network

    Python for Data Analysis: Pandas & NumPy

    Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Exploratory Data Analysis, Data Manipulation, Computer Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    367 reviews

    Beginner · Guided Project · Less Than 2 Hours

Data Analytics learners also search

analytics
business analytics
google analytics
marketing analytics
web analytics
customer analytics
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1234…69

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

  • Introduction to Data Analysis using Microsoft Excel: Coursera Project Network
  • Getting Started in Google Analytics: Coursera Project Network
  • Create Charts and Dashboards Using Microsoft Excel: Coursera Project Network
  • Power BI for Beginners: Build your First Report: Coursera Project Network
  • Perform exploratory data analysis on retail data with Python: Coursera Project Network
  • Analyze Data in a Model Car Database with MySQL Workbench: Coursera Project Network
  • Overview of Data Visualization: Coursera Project Network
  • How To Visualize Your Data Using Microsoft Powerpoint: Coursera Project Network
  • Introduction to Business Analysis Using Spreadsheets: Basics: Coursera Project Network
  • Custom Reports in Google Analytics: Coursera Project Network

Frequently Asked Questions about Data Analytics

Browse the data analytics courses below—popular starting points on Coursera.

  • Introduction to Data Analytics: IBM
  • Data Analysis with Python: IBM
  • Excel Basics for Data Analysis: IBM
  • Data Analytics Course with Generative AI: Simplilearn
  • Python for Data Science, AI & Development: IBM‎

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.‎

The Google Data Analytics Professional Certificate spans 6 months focusing on:

  • Data cleaning
  • SQL
  • R programming
  • Tableau

In contrast, the IBM Data Analyst Professional Certificate lasts 4 months, emphasizing:

  • Excel formulas
  • Python programming
  • Tools like pandas and numpy

Both certificates prepare you for roles as data analysts or data scientists, with Google emphasizing data storytelling and data processing, while IBM goes deeper into exploratory data analysis and big data. Choose based on your preferred tools and the depth of learning you need.‎

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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