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Results for "data analytics"

  • I

    IBM

    Introduction to Data Analytics

    Skills you'll gain: Data Storytelling, Data Mining, Extract, Transform, Load, Data Presentation, Data Analysis, Interactive Data Visualization, Dashboard, Analysis, Data Literacy, Analytics, Descriptive Analytics, Data Visualization, Big Data, Data Storage Technologies, Analytical Skills, Data Wrangling, Data Science, Data Mart, Data Warehousing, Microsoft Excel

    4.7 stars, 21K reviews, Beginner, Course, 1 - 3 Months

    ★ 4.7 (21K) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • G

    Google

    Google Data Analytics

    Skills you'll gain: Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Interactive Data Visualization, Data Validation, Ggplot2, R (Software), Sampling (Statistics), Spreadsheet Software, Data Analysis, Stakeholder Communications, LinkedIn, Object Oriented Programming (OOP), Data Literacy, Web Presence, Data Structures, Interviewing Skills

    4.8 stars, 183K reviews, Beginner, Professional Certificate, 3 - 6 Months

    ★ 4.8 (183K) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Free trial
    Free trial
    Category: Build toward a degree
    Build toward a degree
  • G

    Google

    Foundations: Data, Data, Everywhere

    Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL

    4.8 stars, 124K reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.8 (124K) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Interactive Data Visualization, Statistics, Descriptive Statistics, Logistic Regression, Decision Tree Learning, Advanced Analytics, Probability & Statistics, Probability Distribution, Statistical Inference, Applied Machine Learning, Data-Driven Decision-Making, Supervised Learning, Workflow Management, Statistical Methods, Statistical Modeling, Data Cleansing, Data Structures, Interviewing Skills, NumPy, Professional Development

    4.8 stars, 13K reviews, Advanced, Professional Certificate, 3 - 6 Months

    ★ 4.8 (13K) · Advanced · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial

  • Unlock 3 months of Google AI Pro at no extra cost today.

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  • S

    Simplilearn

    Data Analytics with Python

    Skills you'll gain: Matplotlib, NumPy, Python Programming, Data Presentation, Pandas (Python Package), Analytical Skills, Plot (Graphics), Data Analysis, Data Visualization Software, Analysis, Data-Driven Decision-Making, Scripting, Analytics, Numerical Analysis, Data Manipulation, Graphing, Product Automation, Data Processing, Programming Principles, Data Validation

    4.9 stars, 26 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.9 (26) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • M

    Microsoft

    Microsoft Data Analysis with SQL, Excel & Power BI

    Skills you'll gain: Data Visualization, Data Storytelling, Power BI, Dashboard, Data Presentation, Transact-SQL, SQL, Microsoft SQL Servers, Excel Formulas, Microsoft Excel, Statistical Visualization, Data Cleansing, Transaction Processing, Prompt Engineering, Data Manipulation, Data Processing, Data Analysis, Dashboard Creation, Business Intelligence, Data Management

    4.6 stars, 1.5K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.6 (1.5K) · Beginner · Specialization · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Category: New
    New
    Status: Free trial
    Free trial
  • I

    IBM

    IBM Data Analytics with Excel and R

    Skills you'll gain: Data Storytelling, Data Wrangling, Exploratory Data Analysis, Database Design, Data Mining, Extract, Transform, Load, Ggplot2, Data Presentation, Data Analysis, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Interactive Data Visualization, Microsoft Excel, Analytical Skills, R (Software), Excel Formulas, Data Cleansing, Data Manipulation

    4.7 stars, 32K reviews, Beginner, Professional Certificate, 3 - 6 Months

    ★ 4.7 (32K) · Beginner · Professional Certificate · 3 - 6 Months

    Category: Bestseller
    Bestseller
    Status: Free trial
    Free trial
  • M

    Macquarie University

    Excel Skills for Data Analytics and Visualization

    Skills you'll gain: Data Storytelling, Power BI, Microsoft Excel, Dashboard Creation, Data Presentation, Dashboard, Excel Formulas, Interactive Data Visualization, Data Visualization, Excel Macros, Data Visualization Software, Pivot Tables And Charts, Data Transformation, Statistical Visualization, Spreadsheet Software, Infographics, Data Analysis, Data Wrangling, Tree Maps, Data Cleansing

    4.8 stars, 6.1K reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.8 (6.1K) · Intermediate · Specialization · 3 - 6 Months

    Category: Job skills
    Job skills
    Status: Free trial
    Free trial
  • D

    DeepLearning.AI

    DeepLearning.AI Data Analytics

    Skills you'll gain: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Statistical Visualization, Spreadsheet Software, Large Language Modeling, Tableau Software, Data Literacy, Dashboard, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Data Manipulation, Data Analysis, Descriptive Statistics

    4.7 stars, 292 reviews, Beginner, Professional Certificate, 3 - 6 Months

    ★ 4.7 (292) · Beginner · Professional Certificate · 3 - 6 Months

    Category: Job skills
    Job skills
    Status: Free trial
    Free trial
  • G

    Google

    Introducing Data Analytics and Analytical Thinking

    Skills you'll gain: Analysis, Analytics, Data Infrastructure, Data Ethics

    4.6 stars, 64 reviews, Beginner, Course, 1 - 3 Months

    ★ 4.6 (64) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • M

    Meta

    Introduction to Data Analytics

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

    4.8 stars, 1.1K reviews, Beginner, Course, 1 - 3 Months

    ★ 4.8 (1.1K) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • U

    University of Pennsylvania

    Intro to Data Analytics, SQL, and EDA Using Python

    Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Data Visualization, Database Management, Query Languages, Data Visualization Software, Matplotlib, Data Literacy, Data Storage, Data Storage Technologies, Business Analytics, Pandas (Python Package), Big Data, Data Science, Data Store, Relational Databases, Data Management

    Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
1234…834

Best Data Analytics courses from Google

Top-rated Data Analytics courses offered by Google on Coursera.

  1. 1
    Google Data Analytics
    GoogleBeginner3 - 6 Months4.8(182,504)Google
  2. 2
    Foundations: Data, Data, Everywhere
    GoogleBeginner1 - 4 Weeks4.8(123,572)Google
  3. 3
    Google Advanced Data Analytics
    GoogleAdvanced3 - 6 Months4.8(12,761)Google

Best Data Analytics certificate programs

Earn a certificate in Data Analytics from top universities and companies.

  1. 1
    Microsoft Data Analysis with SQL, Excel & Power BI
    MicrosoftBeginner3 - 6 Months4.6(1,512)Specialization
  2. 2
    IBM Data Analytics with Excel and R
    IBMBeginner3 - 6 Months4.7(32,185)Professional Certificate
  3. 3
    Excel Skills for Data Analytics and Visualization
    Macquarie UniversityIntermediate3 - 6 Months4.8(6,137)Specialization

Best Data Analytics courses for beginners

Top-rated beginner-friendly Data Analytics courses with no prerequisites.

  1. 1
    Introduction to Data Analytics
    IBMBeginner1 - 3 Months4.7(20,870)No prerequisites
  2. 2
    Data Analytics with Python
    SimplilearnBeginner1 - 4 Weeks4.9(26)No prerequisites
  3. 3
    DeepLearning.AI Data Analytics
    DeepLearning.AIBeginner3 - 6 Months4.7(292)No prerequisites

Frequently Asked Questions about Data Analytics

Data analytics is the process of collecting, cleaning, analyzing, and interpreting data to support better decisions. It often involves working with spreadsheets, databases, visualization tools, and statistical methods to find patterns or answer practical questions. Courses such as Introduction to Data Analytics from IBM and Foundations: Data, Data, Everywhere from Google introduce core concepts like data types, data-driven decision-making, and the analytics workflow. On Coursera, you can start with foundational courses and then move into tools like SQL, Excel, R, and Power BI as your confidence grows.‎

Data analytics is used in roles such as data analyst, business analyst, operations analyst, marketing analyst, financial analyst, and product analyst. These jobs often involve organizing data, creating reports or dashboards, identifying trends, and communicating insights to teams or stakeholders. Courses on this page, such as Google Data Analytics and Microsoft Data Analysis with SQL, Excel & Power BI, focus on practical skills that connect to common workplace analysis tasks. Exploring different courses can help you understand which tools and applications fit the type of role or industry you are considering.‎

Before learning data analytics, it helps to be comfortable with basic math, spreadsheets, and logical problem-solving. You do not need an advanced technical background to begin, but familiarity with tables, charts, percentages, and simple formulas can make early lessons easier to follow. Beginner-friendly options like Foundations: Data, Data, Everywhere from Google and Introduction to Data Analytics from IBM are designed to introduce the field step by step. If you are new to the topic, starting with general analytics concepts before moving into SQL, R, or visualization tools can be a useful path.‎

Skills that complement data analytics include SQL, spreadsheet analysis, data visualization, statistics, programming, and communication. SQL helps you work with databases, while Excel and visualization tools can help you organize findings and present them clearly. Courses in the page context include Microsoft Data Analysis with SQL, Excel & Power BI, Excel Skills for Data Analytics and Visualization from Macquarie University, and IBM Data Analytics with Excel and R. Building a mix of technical and communication skills can help you turn data into insights that others can understand and use.‎

You can start learning data analytics by taking an introductory course that explains the analytics process and basic tools. A good first step is to learn how data is collected, cleaned, analyzed, visualized, and used to support decisions. Courses such as Google Data Analytics, IBM Introduction to Data Analytics, and DeepLearning.AI Data Analytics offer structured ways to build from foundational concepts into applied practice. As you progress, you can choose courses focused on tools like Excel, SQL, Power BI, or R depending on your goals and comfort level.‎

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

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

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.‎

Strong beginner courses for data analytics include Introduction to Data Analytics from IBM, Foundations: Data, Data, Everywhere from Google, and Google Data Analytics. These courses introduce core ideas such as asking data-informed questions, preparing data, analyzing results, and sharing insights. If you want to build tool-specific skills early, Excel Skills for Data Analytics and Visualization from Macquarie University or Microsoft Data Analysis with SQL, Excel & Power BI may also be helpful. Comparing course descriptions, skill lists, and difficulty levels on Coursera can help you choose a starting point that matches your background.‎

Data analytics courses typically cover data collection, data cleaning, exploratory analysis, visualization, basic statistics, and communicating insights. Many courses also introduce tools such as spreadsheets, SQL, R, Power BI, or other analytics platforms used to work with real datasets. For example, IBM Data Analytics with Excel and R focuses on Excel and R, while Microsoft Data Analysis with SQL, Excel & Power BI emphasizes common business analysis tools. Coursera course selections let you choose between broad introductions, tool-focused training, and more advanced analytics topics as your skills develop.‎

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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