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Data Analytics Courses

Data analytics courses can help you learn data visualization, statistical analysis, and data cleaning techniques. You can build skills in interpreting complex datasets, making data-driven decisions, and communicating insights effectively. Many courses introduce tools like Excel, SQL, and Tableau, that support analyzing data and presenting findings. You'll also explore methods such as regression analysis and A/B testing, which are crucial for evaluating performance and optimizing strategies.


More to explore:

Popular Data Analytics Courses and Certifications


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    E

    EDUCBA

    PySide2 Project - Data Fetching Application

    Skills you'll gain: Application Development, Event-Driven Programming, Application Design, User Interface (UI), Program Development, Development Environment, Data Integration

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

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    C

    Coursera

    GIS Mastery: Spatial Data, Remote Sensing, Decision Support

    Skills you'll gain: Geographic Information Systems, Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Spatial Analysis, Global Positioning Systems, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Troubleshooting Data Models in Looker

    Skills you'll gain: Looker (Software), Data Modeling, Exploratory Data Analysis, Data Validation, Data Maintenance, Problem Management, Data Analysis, Data Visualization, Data Analysis Software, Google Cloud Platform

    Intermediate · Project · Less Than 2 Hours

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    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 Persistence, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • B

    Ball State University

    Master of Science in Data Science

    Skills you'll gain: Data Ethics, Graph Theory, Data Collection, Supervised Learning, Software Development Methodologies, File Systems, SQL, Statistical Hypothesis Testing, Statistical Methods, Data Wrangling, Logistic Regression, SAS (Software), Object Oriented Programming (OOP), Spatial Analysis, Text Mining, Financial Data, Artificial Intelligence, Health Informatics, Natural Language Processing, R Programming

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Colorado Boulder

    Master of Science in Data Science

    Skills you'll gain: User Story, New Product Development, Real-Time Operating Systems, Model Based Systems Engineering, Model Evaluation, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Data Mining, Delegation Skills, Object Oriented Design, Sampling (Statistics), Proposal Writing, Supplier Management, Accountability, Data Ethics, Prompt Engineering, Sustainability Reporting, Database Design, Unsupervised Learning

    Earn a degree

    Degree · 1 - 4 Years

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    U

    University of Pennsylvania

    Inheritance and Data Structures in Java

    Skills you'll gain: File I/O, Java Programming, Eclipse (Software), Java, Debugging, Integrated Development Environments, Object Oriented Programming (OOP), Data Structures, Development Environment, Software Design, Programming Principles, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
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    106 reviews

    Beginner · Course · 1 - 4 Weeks

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    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

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    U

    University of Pittsburgh

    Statistics and Calculus Methods for Data Analysis

    Skills you'll gain: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    SQL Foundations

    Skills you'll gain: Microsoft SQL Servers, SQL, Transact-SQL, Databases, Relational Databases, Data Transformation, Data Manipulation, Query Languages, Generative AI, Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    140 reviews

    Beginner · Course · 1 - 4 Weeks

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    C

    Codio

    Java: Non-Linear Data Structures

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Java, Theoretical Computer Science, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    E

    ESSEC Business School

    Capstone: Create Value from Open Data

    Skills you'll gain: Peer Review, Analytical Skills, Complex Problem Solving, Data Analysis, Data Storytelling, Value Propositions, Data Integration, Exploratory Data Analysis, Data-Driven Decision-Making, Data Visualization, Presentations

    4.2
    Rating, 4.2 out of 5 stars
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    54 reviews

    Mixed · Course · 1 - 3 Months

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

  • PySide2 Project - Data Fetching Application: EDUCBA
  • GIS Mastery: Spatial Data, Remote Sensing, Decision Support: Coursera
  • Troubleshooting Data Models in Looker: Google Cloud
  • Data Science Fundamentals Part 1: Unit 3: Pearson
  • Master of Science in Data Science: Ball State University
  • Master of Science in Data Science: University of Colorado Boulder
  • Inheritance and Data Structures in Java: University of Pennsylvania
  • Data Science Fundamentals Part 1: Unit 2: Pearson
  • Statistics and Calculus Methods for Data Analysis: University of Pittsburgh
  • SQL Foundations: Microsoft

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