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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

    • C

      Coursera Project Network

      Build a Website using an API with HTML, JavaScript, and JSON

      Skills you'll gain: JSON, Restful API, HTML and CSS, Web Design, Cloud API, Web Development, Application Programming Interface (API), Web Applications, Responsive Web Design, Real Time Data, Javascript

      4.1
      Rating, 4.1 out of 5 stars
      ·
      31 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • S

      Sapienza University of Rome

      Paesaggi di Roma Antica. Archeologia e storia del Palatino.

      Skills you'll gain: Ancient History, Scientific Methods, Research, Research Methodologies, Investigation, Spatial Analysis, Art History, Geographic Information Systems, World History, Data Integration, Culture, Information Systems

      4.8
      Rating, 4.8 out of 5 stars
      ·
      144 reviews

      Beginner · Course · 1 - 3 Months

    • T

      Tufts University

      Hypothesis Testing with Python and Excel

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Microsoft Excel, Quantitative Research, Probability & Statistics, Statistical Analysis, Analytical Skills, Business Analytics, Python Programming

      4.2
      Rating, 4.2 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Working with Subqueries in SQL

      Skills you'll gain: SQL, PostgreSQL, Query Languages

      4.4
      Rating, 4.4 out of 5 stars
      ·
      58 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Cervical Cancer Risk Prediction Using Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Data Analysis, Statistical Analysis, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Data Import/Export, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, NumPy, Data Manipulation, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      38 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Crear una hoja para Gestionar Proyectos en Microsoft Excel

      Skills you'll gain: Microsoft Excel, Project Management Software, Spreadsheet Software, Organizational Skills, Dashboard, Data Entry, Prioritization, Data Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      139 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Visualizing Data with Google Data Studio

      Skills you'll gain: Data Visualization Software, Dashboard, Interactive Data Visualization, SQL Server Reporting Services, Big Data

      4.3
      Rating, 4.3 out of 5 stars
      ·
      16 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      TypeScript Variables and Data Types

      Skills you'll gain: TypeScript, Programming Principles, Web Development Tools, Javascript, Web Language

      4.5
      Rating, 4.5 out of 5 stars
      ·
      97 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Essential Cloud Infrastructure: Core Services 日本語版

      Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Identity and Access Management, Cloud Computing, Data Storage, Cloud Services, Cloud Computing Architecture, Cloud Management, Cloud Storage, Key Management, Security Management, System Monitoring, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      166 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Data Integration, Data Storage, & Data Migration

      Skills you'll gain: Data Migration, Cloud Storage, Data Management, Data Integration, Data Storage, Data Infrastructure, Data Architecture, Data Security, Data Transformation, Data Pipelines, File Systems, Disaster Recovery

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Data Analysis and Representation, Selection and Iteration

      Skills you'll gain: Computational Thinking, Data Analysis, C (Programming Language), Statistical Analysis, Programming Principles, Data Structures, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      93 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Social Media and Influencer Marketing

      Skills you'll gain: Social Media Campaigns, AI Personalization, Social Media Marketing, Generative AI, Trend Analysis, Social Media, Canva (Software), Instagram, Social Media Content, Social Media Strategy, Market Trend, Content Creation, TikTok, Drive Engagement, ChatGPT, Prompt Engineering, Marketing, Automation, Customer Engagement, Artificial Intelligence

      Intermediate · Course · 1 - 4 Weeks

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    1…317318319…634

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

    • Build a Website using an API with HTML, JavaScript, and JSON: Coursera Project Network
    • Paesaggi di Roma Antica. Archeologia e storia del Palatino.: Sapienza University of Rome
    • Hypothesis Testing with Python and Excel: Tufts University
    • Working with Subqueries in SQL: Coursera Project Network
    • Cervical Cancer Risk Prediction Using Machine Learning: Coursera Project Network
    • Crear una hoja para Gestionar Proyectos en Microsoft Excel: Coursera Project Network
    • Visualizing Data with Google Data Studio: Google Cloud
    • TypeScript Variables and Data Types: Coursera Project Network
    • Essential Cloud Infrastructure: Core Services 日本語版: Google Cloud
    • Data Integration, Data Storage, & Data Migration: SkillUp EdTech

    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

    Top options include the Google Data Analytics Professional Certificate, Introduction to Data Analytics from IBM, and Data Analytics Professional Certificate from DeepLearning.AI. These programs cover data cleaning, analysis, visualization, and tools like Excel, SQL, Python, and Tableau.‎

    Yes. Many data analytics courses offer a free audit option. Learners can access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to 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.‎

    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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