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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

    • I

      IBM

      Vector Database Projects: AI Recommendation Systems

      Skills you'll gain: Databases, MongoDB, Data Store, Artificial Intelligence, Natural Language Processing, Applied Machine Learning, Generative AI, Cloud API

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Data Science Decisions in Time: Information Theory & Games

      Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, Machine Learning, Artificial Intelligence

      Intermediate · Course · 1 - 3 Months

    • L

      LearnQuest

      Assessing and Managing Secure IoT Applications and Devices

      Skills you'll gain: Threat Modeling, IT Security Architecture, Threat Management, Network Security, Internet Of Things, Threat Detection, Cloud Security, Security Engineering, Infrastructure Security, Vulnerability Management, Identity and Access Management, Information Systems Security, Encryption, Incident Response, Cybersecurity, Security Controls, Penetration Testing, Vulnerability Assessments, Cloud Solutions, Data Security

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      E

      Edureka

      Mastering AI: Neural Nets, Vision System, Speech Recognition

      Skills you'll gain: Computer Vision, Deep Learning, Unsupervised Learning, Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Data-Driven Decision-Making, Matplotlib, Probability & Statistics, Image Analysis, Regression Analysis, Machine Learning, Plotly, Scikit Learn (Machine Learning Library), Statistical Analysis, Statistical Methods, Natural Language Processing, Artificial Neural Networks, Visualization (Computer Graphics), Artificial Intelligence

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      C

      Coursera Project Network

      Data Validation with Alteryx: Testing and Optimization Tools

      Skills you'll gain: Data Validation, Data Cleansing, Alteryx, Data Quality, Microsoft Excel, Data Integrity, Data Processing, Data Integration, Test Tools, Anomaly Detection

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      W

      Whizlabs

      NVIDIA: Fundamentals of Machine Learning

      Skills you'll gain: Unsupervised Learning, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Applied Machine Learning, Data Processing, Feature Engineering, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      Pair Programming with a Large Language Model

      Skills you'll gain: Test Case, Code Review, Large Language Modeling, Software Development Tools, Software Documentation, Prompt Engineering, Debugging, Maintainability, Generative AI Agents

      Beginner · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Creating Social Media Posts with GenAI: Mastering ChatGPT

      Skills you'll gain: Content Performance Analysis, Generative AI Agents, ChatGPT, Social Media Content, Prompt Engineering, Target Audience, Social Media Campaigns, Content Creation, User Research, Social Media Management, Social Media Strategy, Market Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Codio

      Security Infrastructure Management

      Skills you'll gain: Endpoint Security, Infrastructure Security, Security Management, Network Security, Cyber Security Policies, Security Controls, Data Security, Application Security, Information Management, Enterprise Security

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      SkillUp EdTech

      Java Development with Databases 

      Skills you'll gain: Hibernate (Java), Object-Relational Mapping, Spring Boot, Restful API, Java, NoSQL, Database Development, Databases, SQL, Database Design, Java Programming, Data Access, Database Management, Relational Databases, Back-End Web Development, Query Languages

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      The Power of Object-Oriented Programming

      Skills you'll gain: Object Oriented Programming (OOP), Computer Programming, Program Development, Python Programming, Programming Principles

      Intermediate · Course · 1 - 4 Weeks

    • M

      Meta

      Princípios básicos da publicidade em mídias sociais

      Skills you'll gain: Paid media, Instagram, Regulation and Legal Compliance, General Data Protection Regulation (GDPR), Personally Identifiable Information, Social Media, Online Advertising, Advertising, Social Media Marketing, Advertising Campaigns, Social Media Content, Social Media Campaigns, Facebook, Digital Advertising, Information Privacy, Content Creation, Marketing, Copywriting, Target Audience

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

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

    • Vector Database Projects: AI Recommendation Systems: IBM
    • Data Science Decisions in Time: Information Theory & Games: Johns Hopkins University
    • Assessing and Managing Secure IoT Applications and Devices: LearnQuest
    • Mastering AI: Neural Nets, Vision System, Speech Recognition: Edureka
    • Data Validation with Alteryx: Testing and Optimization Tools: Coursera Project Network
    • NVIDIA: Fundamentals of Machine Learning: Whizlabs
    • Pair Programming with a Large Language Model: DeepLearning.AI
    • Creating Social Media Posts with GenAI: Mastering ChatGPT: Coursera Project Network
    • Security Infrastructure Management: Codio
    • Java Development with Databases : 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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