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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

      University of Michigan

      Politics and Ethics of Data Analytics in the Public Sector

      Skills you'll gain: Data Ethics, Policy Analysis, Analytical Skills, Case Studies, Data Analysis, Responsible AI, Public Policies, Data Presentation, Data-Driven Decision-Making, Ethical Standards And Conduct, Data Governance, R Programming, Machine Learning, Predictive Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      PySpark: Apply & Evaluate Predictive ML Models

      Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      SQL Fundamentals for Data Analysts

      Skills you'll gain: SQL, Databases, Data Manipulation, Data Analysis, Relational Databases, Business Intelligence, Query Languages, Data Warehousing, Data Transformation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 3 Months

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

      Pearson

      Data Science Fundamentals Part 1: Unit 2

      Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases

      Beginner · Course · 1 - 4 Weeks

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

      Pearson

      Data Science Fundamentals Part 2: Unit 1

      Skills you'll gain: Exploratory Data Analysis, Matplotlib, Box Plots, Data Analysis, Data Visualization, Descriptive Statistics, Scatter Plots, Data Visualization Software, Histogram, Seaborn, Statistical Analysis, Correlation Analysis, Statistical Methods

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      B

      Birla Institute of Technology & Science, Pilani

      MIPS Computer Architecture and Performance Optimization

      Skills you'll gain: Computer Architecture, Hardware Architecture, Computer Systems, Software Architecture, System Programming, Application Performance Management, Data Pipelines, File Systems, Hazard Analysis, Cloud Platforms

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Master Svelte Framework - The Complete Course

      Skills you'll gain: Event-Driven Programming

      Intermediate · Course · 1 - 3 Months

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

      Pearson

      Data Science Fundamentals Part 1: Unit 3

      Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Analysis, Data Storage Technologies

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Coursera

      Advanced Data Science Techniques (with AWS Integration)

      Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Cloud Development, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Machine Learning, Statistical Analysis, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Supervised Learning, Dimensionality Reduction, Regression Analysis

      Beginner · Course · 1 - 3 Months

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

      Pearson

      Data Science Fundamentals Part 1: Unit 1

      Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      É

      École Polytechnique

      How to Write and Publish a Scientific Paper (Project-Centered Course)

      Skills you'll gain: Peer Review, Journals, Scientific Methods, Research, Research Design, Proofreading, Research Methodologies, Editing, Ethical Standards And Conduct, Data Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Enhancing Reproducible Science with GitHub and Docker

      Skills you'll gain: Code Review, Version Control, GitHub, Package and Software Management, CI/CD, Continuous Integration, Open Source Technology, Development Environment, Continuous Deployment, Software Development Tools, Docker (Software), Containerization, Scientific Methods, Devops Tools, Data Sharing, Key Management, Git (Version Control System), Automation, Software Documentation, Technical Documentation

      Beginner · Specialization · 3 - 6 Months

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

    • Politics and Ethics of Data Analytics in the Public Sector: University of Michigan
    • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
    • SQL Fundamentals for Data Analysts: Corporate Finance Institute
    • Data Science Fundamentals Part 1: Unit 2: Pearson
    • Data Science Fundamentals Part 2: Unit 1: Pearson
    • MIPS Computer Architecture and Performance Optimization: Birla Institute of Technology & Science, Pilani
    • Master Svelte Framework - The Complete Course: Packt
    • Data Science Fundamentals Part 1: Unit 3: Pearson
    • Advanced Data Science Techniques (with AWS Integration): Coursera
    • Data Science Fundamentals Part 1: Unit 1: Pearson

    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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