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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

Sort by: Best Match
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  • Status: Free
    Free
    C

    Coursera

    Data Validation with Alteryx: Testing and Optimization Tools

    Skills you'll gain: Data Validation, Data Cleansing, Alteryx, Data Quality, Microsoft Excel, Data Integrity, Data Integration, Data Import/Export, Test Tools, Relational Databases

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Probability Distribution

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    SQL in Action: Querying, Aggregating, and Joining Data

    Skills you'll gain: SQL, Database Management, Query Languages, Data Analysis, Performance Tuning, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Decisions in Time: Using Causal Information

    Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Data Science, Strategic Decision-Making, Root Cause Analysis, Random Forest Algorithm, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Algebra and Differential Calculus for Data Science

    Skills you'll gain: Algebra, Calculus, Graphing, Applied Mathematics, Data Science, Derivatives, Numerical Analysis, Mathematical Theory & Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    260 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    C++: Linear Data Structures and Trees

    Skills you'll gain: Data Structures, C++ (Programming Language), Programming Principles, Algorithms, Theoretical Computer Science, Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

    Skills you'll gain: Statistics, Descriptive Statistics, Probability & Statistics, Probability Distribution, Business Analytics, Microsoft Excel, Data Analysis, Statistical Analysis, Box Plots, Sampling (Statistics), Correlation Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.7K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    SAS

    Four Rare Machine Learning Skills All Data Scientists Need

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Supervised Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), A/B Testing, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Data Protection and Security Governance

    Skills you'll gain: Patch Management, Data Security, Cloud Security, Amazon Web Services, Data Governance, AWS Identity and Access Management (IAM), Cyber Governance, Cloud Management, Key Management, Amazon S3, Amazon CloudWatch, Data Encryption Standard, AWS CloudFormation, Infrastructure as Code (IaC), Public Key Infrastructure, Configuration Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Linear Algebra for Data Science Using Python

    Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Applied Mathematics, Statistical Modeling, Mathematical Software, Supervised Learning, Algebra, Data Visualization Software, Jupyter, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    32 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    Java: Linear Data Structures and Trees

    Skills you'll gain: Data Structures, Java, Theoretical Computer Science, Programming Principles, Algorithms, Object-Relational Mapping

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Zero-Shot & Few-Shot Learning: Master AI with Minimal Data

    Skills you'll gain: Prompt Engineering, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Fraud detection, Supervised Learning, Semantic Web, Deep Learning, Small Data, Machine Learning, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

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1…116117118…762

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

  • Data Validation with Alteryx: Testing and Optimization Tools: Coursera
  • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
  • SQL in Action: Querying, Aggregating, and Joining Data: Coursera
  • Data Science Decisions in Time: Using Causal Information: Johns Hopkins University
  • Algebra and Differential Calculus for Data Science: University of Colorado Boulder
  • C++: Linear Data Structures and Trees: Codio
  • Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: Rice University
  • Four Rare Machine Learning Skills All Data Scientists Need: SAS
  • AWS: Data Protection and Security Governance: Whizlabs
  • Linear Algebra for Data Science Using Python: Howard University

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