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  • Data Analyst

Data Analyst Courses

Data analyst courses can help you learn data visualization, statistical analysis, and data cleaning techniques. You can build skills in interpreting complex datasets, creating meaningful reports, and communicating insights effectively. Many courses introduce tools like Excel, SQL, and Tableau, that support analyzing data and presenting findings in a clear, impactful way. Additionally, you may explore methods for predictive analytics and data storytelling, enhancing your ability to make data-driven decisions.


Popular Data Analyst Courses and Certifications


  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Analytics

    Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Science, Data Warehousing, Data Visualization, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Relational Databases, Microsoft Excel

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Beginner · Course · 1 - 3 Months

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

    Google

    Google Data Analytics

    Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, LinkedIn, Dashboard, Data Structures, Python Programming, Interviewing Skills, Professional Development

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    179K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

    Microsoft

    Microsoft Power BI Data Analyst

    Skills you'll gain: Power BI, Microsoft Excel, Data Analysis, Data Literacy, Data Visualization, Data Storage, Microsoft Power Platform, Data Collection, Data Quality, Business Analytics, Timelines, Advanced Analytics, Database Design, Statistical Reporting, Statistical Visualization, Business Intelligence, Data Integration, Data Storage Technologies, SQL, Data Manipulation

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.6K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

    IBM

    IBM Data Analyst

    Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Wrangling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Data Presentation, Interactive Data Visualization, Generative AI, SQL, Data Transformation, Data Analysis, Big Data, IBM Cognos Analytics, Excel Formulas, Professional Networking, Data Import/Export, Microsoft Excel, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    97K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis with Python

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Regression Analysis, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Feature Engineering, Data Visualization, Data Pipelines, NumPy, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Data Integrity, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10K reviews

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations: Data, Data, Everywhere

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    120K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python for Data Science, AI & Development

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    43K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Google Data Analysis with Python

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Data Wrangling, Package and Software Management, Data Analysis, Data Transformation, Unstructured Data, JSON, Object Oriented Programming (OOP), Data Science, Python Programming, Computer Programming, Programming Principles, Data Import/Export, Software Design, Data Validation, Mathematical Software, Computational Logic, Data Structures

    4.9
    Rating, 4.9 out of 5 stars
    ·
    59 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Data Science, Tableau Software, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Analysis and Visualization with Power BI

    Skills you'll gain: Dashboard, Power BI, Data Storytelling, Data Visualization Software, Microsoft Power Platform, Data Visualization, Data Presentation, Advanced Analytics, Statistical Reporting, Interactive Data Visualization, Business Intelligence, Data Analysis, Data-Driven Decision-Making, Web Content Accessibility Guidelines, Time Series Analysis and Forecasting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    903 reviews

    Beginner · Course · 1 - 3 Months

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

    Meta

    Meta Data Analyst

    Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Visualization, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Quality, Data Analysis, Data Visualization Software, Spreadsheet Software, Exploratory Data Analysis, SQL, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.7K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

  • Introduction to Data Analytics: IBM
  • Google Data Analytics: Google
  • Microsoft Power BI Data Analyst: Microsoft
  • IBM Data Analyst: IBM
  • Data Analysis with Python: IBM
  • Excel Basics for Data Analysis: IBM
  • Foundations: Data, Data, Everywhere: Google
  • Python for Data Science, AI & Development: IBM
  • Google Data Analysis with Python: Google
  • Google Advanced Data Analytics: Google

Frequently Asked Questions about Data Analyst

A data analyst is a person whose job is to gather and interpret data in order to solve a specific problem. The role includes plenty of time spent with data, but entails communicating findings too. A data analyst gathers, cleans, and studies data sets to help solve problems. Read our career guide article about what data analysts do.‎

It is valuable to learn about how to be a data analyst because companies in almost every industry would benefit from the work done by data analysts. The insights brought forth by data analysts are extremely valuable to employers who want to learn more about customers, marketing trends, and future scenarios. Data analysts are responsible for the ground-level work of seeing trends and patterns that help businesses eventually decide to make major organizational moves.‎

Typical career opportunities for data analysts are in major insurance companies; large technology companies like Oracle, IBM, and Siemens; financial credit bureaus; consumer and B2B technology firms; financial firms; and cloud data companies. Data analysts can find jobs in a variety of roles in creative fields as well, as data is researched and used in the marketing, advertising, broadcasting, and film industries too.‎

When you take online courses to be a data analyst, you have the opportunity to learn how to use statistical techniques to acquire data from key sources. You might also uncover key data analysis concepts in Python programming, data science, pivot tables, data visualization, and more. Online courses can expose you to new insights on how to identify, analyze, filter, clean, and report on data that show trends or patterns that have been researched in complex data sets.‎

Online Data Analyst courses offer a convenient and flexible way to enhance your knowledge or learn new Data Analyst skills. Choose from a wide range of Data Analyst courses offered by top universities and industry leaders tailored to various skill levels.‎

When looking to enhance your workforce's skills in Data Analyst, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

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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