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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

    • J

      Johns Hopkins University

      Reproducible Research

      Skills you'll gain: Rmarkdown, Knitr, Data Sharing, Statistical Reporting, Data Analysis, Statistical Analysis, Data Validation, R Programming, Verification And Validation, Technical Documentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • 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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      232 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • R

      Rice University

      Fundamentals of Computing

      Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Computer Programming, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Mathematical Software, Data Analysis, Theoretical Computer Science, Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • W

      Wesleyan University

      Data Analysis and Interpretation

      Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Decision Tree Learning, Data Manipulation, Data Management, Data Analysis, Predictive Modeling, Data Visualization, Data Literacy, Random Forest Algorithm, SAS (Software), Statistical Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Meta

      Measure and Optimize Social Media Marketing Campaigns

      Skills you'll gain: Marketing Analytics, Social Media Marketing, Social Media Campaigns, Marketing Effectiveness, Social Media Strategy, Digital Advertising, Advertising Campaigns, Social Media, Data Analysis, Data Presentation, Marketing, Business Metrics, Statistical Reporting, Facebook, A/B Testing, Key Performance Indicators (KPIs), Marketing Communications, Performance Reporting, Return On Investment, Presentations

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Developing Mobile Apps with React Native

      Skills you'll gain: React Native, Flutter (Software), Mobile Development, React Redux, React.js, Front-End Web Development, JavaScript Frameworks, Ajax, Cross Platform Development, Javascript, Apple iOS, UI Components, Data Structures, Back-End Web Development, Debugging, iOS Development, User Story, Full-Stack Web Development, Web Applications, Android Development

      4.4
      Rating, 4.4 out of 5 stars
      ·
      802 reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Meta

      React Basics

      Skills you'll gain: Mobile Development, React.js, Web Applications, Event-Driven Programming, Application Development, UI Components, Cascading Style Sheets (CSS), Javascript, Development Environment, Hypertext Markup Language (HTML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • R

      Rutgers the State University of New Jersey

      Supply Chain Analytics Essentials

      Skills you'll gain: Supply Chain, Supply Chain Management, Supplier Performance Management, Analytics, Business Analytics, Data Analysis, Competitive Analysis, Job Analysis, Inventory and Warehousing, Demand Planning, Data-Driven Decision-Making, Logistics, Financial Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of London

      Responsive Website Development and Design

      Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design, Human Computer Interaction, Interaction Design, jQuery, Bootstrap (Front-End Framework), Hypertext Markup Language (HTML), Usability, User Experience Design, User Accounts, MongoDB, User Interface and User Experience (UI/UX) Design, Web Design and Development, Wireframing, Persona (User Experience), Web Applications, Full-Stack Web Development, Interactive Data Visualization, JavaScript Frameworks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      7.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Creating Business Value with Data and Looker

      Skills you'll gain: Looker (Software), Dashboard, Data Governance, Digital Transformation, Real Time Data, Google Cloud Platform, Data Modeling, Data Management, Data Warehousing, Data Visualization Software, Data Analysis, Data Sharing, Big Data, Cloud Storage, Analytics, Business Intelligence, Data Presentation, Data Processing, Database Design, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Hadoop Platform and Application Framework

      Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, Data Processing, Distributed Computing, Performance Tuning, Scalability

      4
      Rating, 4 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Natural Language Processing in TensorFlow

      Skills you'll gain: Tensorflow, Natural Language Processing, Generative AI, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.5K reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Reproducible Research: Johns Hopkins University
    • How To Visualize Your Data Using Microsoft Powerpoint: Coursera Project Network
    • Fundamentals of Computing: Rice University
    • Data Analysis and Interpretation: Wesleyan University
    • Measure and Optimize Social Media Marketing Campaigns: Meta
    • Developing Mobile Apps with React Native: IBM
    • React Basics: Meta
    • Supply Chain Analytics Essentials: Rutgers the State University of New Jersey
    • Responsive Website Development and Design: University of London
    • Creating Business Value with Data and Looker: Google Cloud

    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

    Coursera’s Data Analytics courses equip learners with a broad array of analytical skills:

    • Basics of data collection, cleaning, and preprocessing
    • Techniques for statistical analysis and interpretation of data
    • Use of analytics tools and software like Python, R, SQL, and Excel
    • Data visualization skills for communicating insights effectively
    • Understanding of machine learning models for data-driven predictions
    • Application of analytics in real-world business scenarios‎

    Data Analytics courses on Coursera are designed to welcome learners at all levels:

    • Beginners without prior experience can start with introductory courses on the fundamentals of data handling and analysis.
    • Intermediate learners can build on existing knowledge with courses on specific tools or techniques.
    • Advanced users can refine their skills and learn to manage complex analytics projects and data sets.‎

    Learners completing Data Analytics courses on Coursera can earn credentials that may enhance their professional profiles:

    • Professional certificates that may indicate proficiency in various analytics tools and methodologies
    • Specializations that explore specific aspects of data analytics, from data visualization to advanced statistical methods
    • Certificates that can be seen by employers as a testament to your commitment to developing analytics skills‎

    Acquiring skills from Data Analytics courses can open doors to diverse career paths across sectors:

    • Data Analyst, turning data into insights that inform business decisions
    • Business Intelligence Analyst, developing actionable intelligence from complex datasets
    • Data Scientist, using advanced statistical techniques and machine learning to solve problems
    • Marketing Analyst, analyzing consumer data to drive marketing strategies
    • Operations Analyst, improving efficiency through data-driven process optimizations ‎

    Yes, Coursera offers a variety of free courses across many topics, including data analytics. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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