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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: Free Trial
      Free Trial
      U

      Università di Napoli Federico II

      Autonomous Aerospace Systems

      Skills you'll gain: Control Systems, Systems Architecture, Simulation and Simulation Software, Global Positioning Systems, Automation, Mechanical Engineering, Computer Vision, Mathematical Modeling, Estimation, Real Time Data, Business Intelligence

      4.5
      Rating, 4.5 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      É

      École Polytechnique

      Aléatoire : une introduction aux probabilités - Partie 1

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Simulations, Statistics, Interactive Data Visualization, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      105 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Forecasting Models for Marketing Decisions

      Skills you'll gain: Customer Analysis, Customer Demand Planning, Marketing Analytics, Forecasting, Marketing Effectiveness, Predictive Modeling, Revenue Forecasting, Time Series Analysis and Forecasting, Microsoft Excel, Marketing, Regression Analysis, Customer Acquisition Management, Customer Retention

      4.4
      Rating, 4.4 out of 5 stars
      ·
      78 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rutgers the State University of New Jersey

      Sourcing Analytics

      Skills you'll gain: Strategic Sourcing, Procurement, Supplier Relationship Management, Supplier Management, Supply Chain, Supplier Performance Management, Supply Management, Supply Chain Management, Benchmarking, Competitive Analysis, Business Analytics, Analytics, Business Intelligence, Negotiation, Financial Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Preparing for DP-900: Microsoft Azure Data Fundamentals Exam

      Skills you'll gain: Microsoft Azure, Relational Databases, Databases, Cloud Storage, Analytics, Data Storage, Data Lakes, NoSQL, Cloud Computing, Data Warehousing, SQL, Test Planning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      124 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Building Statistical Models in R: Linear Regression

      Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling, Ggplot2

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      SAS

      Analyzing Time Series and Sequential Data

      Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Feature Engineering, Statistical Analysis, Data Analysis, Statistical Methods, Regression Analysis, Data Transformation, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Advanced Analytics, Statistical Modeling, Unsupervised Learning, Bayesian Statistics, Automation, Anomaly Detection, Data Processing, Data Manipulation

      5
      Rating, 5 out of 5 stars
      ·
      10 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Macquarie University

      Statistics and Data Analysis with Excel: Advanced

      Skills you'll gain: Data-Driven Decision-Making, Microsoft Excel, Forecasting, Regression Analysis, Business Analytics, Statistical Analysis, Time Series Analysis and Forecasting, Analytics, Statistical Methods, Advanced Analytics, Data Analysis, Statistics, Data Visualization Software, Probability & Statistics, Statistical Inference, Statistical Modeling, Variance Analysis

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to Ethical Hacking

      Skills you'll gain: Penetration Testing, MITRE ATT&CK Framework, Open Web Application Security Project (OWASP), Public Key Infrastructure, Cyber Threat Intelligence, Threat Modeling, Cybersecurity, Distributed Denial-Of-Service (DDoS) Attacks, Cryptography, Mobile Security, Security Testing, Application Security, Vulnerability Scanning, Vulnerability Assessments, Network Security, Operating Systems, Encryption, Web Applications, Malware Protection, Wireless Networks

      3.5
      Rating, 3.5 out of 5 stars
      ·
      13 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      PySpark for Data Science

      Skills you'll gain: PySpark, Data Pipelines, Data Processing, Data Visualization, Natural Language Processing, Pandas (Python Package), Feature Engineering, Machine Learning, Data Transformation, Supervised Learning, Text Mining, Deep Learning, Scalability, Regression Analysis

      2.9
      Rating, 2.9 out of 5 stars
      ·
      10 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Introduction to Using Generative AI in Public Health

      Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, Generative AI, Healthcare Ethics, Public Health, Data Ethics, Public Health and Disease Prevention, Health Policy, Medical Science and Research, Artificial Intelligence, Microsoft Copilot, Health Equity, Emerging Technologies

      5
      Rating, 5 out of 5 stars
      ·
      8 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Marketing Strategy for Engineers and Technologists

      Skills you'll gain: Value Propositions, Social Media Marketing, Market Research, Social Media Strategy, Strategic Planning, Search Engine Optimization, Competitive Analysis, Data-Driven Decision-Making, Consumer Behaviour, Business Modeling, Web Analytics and SEO, Marketing Psychology, Customer experience strategy (CX), Technical Management, Media Planning, Marketing Strategy and Techniques, Digital Marketing, Branding, Google Ads, Forecasting

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14 reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Autonomous Aerospace Systems: Università di Napoli Federico II
    • Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
    • Forecasting Models for Marketing Decisions: Emory University
    • Sourcing Analytics: Rutgers the State University of New Jersey
    • Preparing for DP-900: Microsoft Azure Data Fundamentals Exam: Microsoft
    • Building Statistical Models in R: Linear Regression: Coursera Project Network
    • Analyzing Time Series and Sequential Data: SAS
    • Statistics and Data Analysis with Excel: Advanced: Macquarie University
    • Introduction to Ethical Hacking: Johns Hopkins University
    • PySpark for Data Science: Edureka

    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.

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