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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
      Status: Free Trial
      Free Trial
      M

      Meta

      Meta Web Development Fundamentals

      Skills you'll gain: Django (Web Framework), Responsive Web Design, HTML and CSS, Back-End Web Development, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), SQL, Database Design, Databases, Front-End Web Development, Database Administration, Unit Testing, MySQL, Debugging, Web Development, Computer Programming, Pseudocode, Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Machine Learning, Python Programming, Image Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Structuring Machine Learning Projects

      Skills you'll gain: Deep Learning, Applied Machine Learning, Machine Learning, Tensorflow, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Debugging, Artificial Intelligence, Computer Vision, Data-Driven Decision-Making, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Introduction to Statistics & Data Analysis in Public Health

      Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 4 Weeks

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

      Multiple educators

      Generative AI for Growth Marketing

      Skills you'll gain: Prompt Patterns, MarTech, Customer experience improvement, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, Responsible AI, Content Creation, Machine Learning, Image Analysis, Virtual Environment, Business Ethics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.7K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Developing Data Products

      Skills you'll gain: Shiny (R Package), Rmarkdown, Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R Programming, Data Mapping, Data Science, Statistical Reporting, Web Applications, Package and Software Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Business Analysts

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Responsible AI, Business Analysis, Data-Driven Decision-Making, Data Analysis, ChatGPT, Artificial Intelligence, Business Process Automation, Stakeholder Communications, Business Requirements, Requirements Elicitation, Requirements Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Presentation, Workflow Management, Business Strategy, Machine Learning, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.7K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Statistics for Data Science with Python

      Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      445 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Artificial Neural Networks, Generative AI, Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Text Mining, Machine Learning Methods, Forecasting, Data Processing, Machine Learning, Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Convolutional Neural Networks

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Tensorflow, Applied Machine Learning, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      43K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Data Analysis with Spreadsheets and SQL

      Skills you'll gain: Data Visualization, Data Visualization Software, Spreadsheet Software, Correlation Analysis, Google Sheets, Pivot Tables And Charts, Dashboard, Data Analysis, Data Storytelling, Tableau Software, Descriptive Statistics, Data Cleansing, Marketing Analytics, Exploratory Data Analysis, Data Manipulation, Statistical Analysis, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      260 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Power Tools for Data Analysis

      Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Visualization, Data Visualization Software, Data Modeling, Microsoft Excel, Interactive Data Visualization, Pivot Tables And Charts, Data Transformation, Dashboard, Data Manipulation, Data Analysis Software, Microsoft Power Platform, Data Analysis, Data Import/Export, Big Data, Data Cleansing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 3 Months

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

    • Meta Web Development Fundamentals: Meta
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Structuring Machine Learning Projects: DeepLearning.AI
    • Introduction to Statistics & Data Analysis in Public Health: Imperial College London
    • Generative AI for Growth Marketing: IBM
    • Developing Data Products: Johns Hopkins University
    • Generative AI for Business Analysts: IBM
    • Statistics for Data Science with Python: IBM
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • Convolutional Neural Networks: DeepLearning.AI

    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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