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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

    • Status: New
      New
      C

      Coursera Instructor Network

      Master Compliance with MS 365 Copilot: EU Law

      Skills you'll gain: Compliance Management, Microsoft Copilot, Regulation and Legal Compliance, Legal Risk, Compliance Reporting, General Data Protection Regulation (GDPR), Microsoft 365, Audit Working Papers, Process Design, Workflow Management, Business Workflow Analysis, Automation, Prompt Engineering

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      465 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Advanced ASP.NET Core MVC, Deployment & User Management

      Skills you'll gain: Application Deployment, ASP.NET, Authorization (Computing), User Accounts, Authentications, Microsoft Azure, Model View Controller, Role-Based Access Control (RBAC), Microsoft Visual Studio, Bootstrap (Front-End Framework), Database Management, Session Initiation Protocols

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Foundations of Data Structures and Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Graph Theory, Operations Research, Public Key Cryptography Standards (PKCS), Computational Thinking, Computer Programming, Computational Logic, Cryptography, Computer Science, Pseudocode, Programming Principles, Applied Mathematics, Advanced Mathematics, Mathematical Theory & Analysis, Tree Maps, Encryption, Network Model, Linear Algebra

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      818 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Azure ML: Deploying, Managing, and Experimenting with Models

      Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Data Management, Cloud Computing, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Scalability, Machine Learning, Performance Tuning

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Enterprise Data Integration, Governance and Architecture

      Skills you'll gain: Data Security, Data Migration, Data Governance, Extract, Transform, Load, Cloud Storage, Data Management, Data Integration, Data Architecture, Enterprise Architecture, Data Storage, Data Modeling, Data Quality, Personally Identifiable Information, Incident Response, Security Controls, Data Infrastructure, Security Strategy, Data Warehousing, Threat Management, Threat Detection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      35 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Advanced Machine Learning on Google Cloud

      Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Distributed Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      SkillUp EdTech

      Tableau Data Analyst Certification Preparation

      Skills you'll gain: Dashboard, Data Storytelling, Tableau Software, Peer Review, Data Visualization Software, Presentations, Interactive Data Visualization, Data Visualization, Data Cleansing, Business Intelligence, Real Time Data, Data Manipulation, Data Presentation, Data Analysis Expressions (DAX), Data Quality, Data Transformation, Data Sharing, Data Integration, Pivot Tables And Charts, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      60 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Deep Learning for Healthcare

      Skills you'll gain: Deep Learning, Health Informatics, Generative AI, Image Analysis, Machine Learning, Keras (Neural Network Library), Applied Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, PyTorch (Machine Learning Library), Graph Theory, Computer Vision, Network Analysis, Machine Learning Software, Unsupervised Learning, Program Development

      3.2
      Rating, 3.2 out of 5 stars
      ·
      45 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Reliable Google Cloud Infrastructure: Design and Process

      Skills you'll gain: Application Deployment, Cloud Infrastructure, CI/CD, Cloud Security, Service Level Agreement, Microservices, Service Level, Google Cloud Platform, Network Architecture, API Design, Site Reliability Engineering, Cloud Computing Architecture, Kubernetes, Restful API, Cloud Storage, Cloud Applications, Key Performance Indicators (KPIs), DevOps, Data Storage, System Design and Implementation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.2K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      The Path to Insights: Data Models and Pipelines

      Skills you'll gain: Data Modeling, Extract, Transform, Load, Database Design, Data Pipelines, Data Warehousing, Business Intelligence, Performance Testing, Data Mart, Snowflake Schema, Star Schema, Process Optimization, Data Lakes, SQL, Data Quality

      4.7
      Rating, 4.7 out of 5 stars
      ·
      645 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Engineering Capstone Project

      Skills you'll gain: Apache Spark, Data Warehousing, Extract, Transform, Load, IBM DB2, IBM Cognos Analytics, Big Data, Databases, PostgreSQL, Data Infrastructure, Data Architecture, Data Pipelines, Applied Machine Learning, MongoDB, MySQL, Data Analysis, Dashboard, Predictive Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      124 reviews

      Advanced · Course · 1 - 3 Months

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    1…456…26

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

    • Master Compliance with MS 365 Copilot: EU Law: Coursera Instructor Network
    • MLOps | Machine Learning Operations: Duke University
    • Advanced ASP.NET Core MVC, Deployment & User Management: Packt
    • Foundations of Data Structures and Algorithms: University of Colorado Boulder
    • Azure ML: Deploying, Managing, and Experimenting with Models: Whizlabs
    • Enterprise Data Integration, Governance and Architecture: SkillUp EdTech
    • Advanced Machine Learning on Google Cloud: Google Cloud
    • Tableau Data Analyst Certification Preparation: SkillUp EdTech
    • Deep Learning for Healthcare: University of Illinois Urbana-Champaign
    • Reliable Google Cloud Infrastructure: Design and Process: 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

    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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