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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.


Popular Data Analytics Courses and Certifications


  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Advanced Prompt Engineering for Everyone

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Prompt Patterns, Generative AI, ChatGPT, AI Personalization, Anthropic Claude, LLM Application, Large Language Modeling, Artificial Intelligence, Context Management, Model Evaluation, Data Analysis, Verification And Validation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    488 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    The Unix Workbench

    Skills you'll gain: GitHub, Unix, Git (Version Control System), Unix Commands, Version Control, Bash (Scripting Language), Ubuntu, Command-Line Interface, Cloud Computing, Shell Script, Linux, Mac OS, Scripting, Scripting Languages, Programming Principles, File Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Logistic Regression, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Machine Learning Algorithms, Python Programming, Supervised Learning, Classification Algorithms, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    396 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Transfer Learning, Convolutional Neural Networks, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Computer Vision, Model Deployment, Artificial Neural Networks, Data Preprocessing, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    720 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Predictive Modeling with Logistic Regression using SAS

    Skills you'll gain: SAS (Software), Model Evaluation, Logistic Regression, Predictive Modeling, Classification And Regression Tree (CART), Big Data, Regression Analysis, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Identifying Patient Populations

    Skills you'll gain: Data Manipulation, Bioinformatics, Informatics, Data Processing, Clinical Informatics, Data Science, Health Informatics, Clinical Data Management, Classification Algorithms, Analytics, Patient Evaluation, Model Evaluation, Machine Learning Algorithms, Data Validation, Performance Testing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    40 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Relational database systems

    Skills you'll gain: Relational Databases, Database Management, SQL, Databases, Database Design, Database Management Systems, Database Architecture and Administration, Information Systems, MySQL, Query Languages, Data Modeling, Transaction Processing, Information Systems Security, Performance Tuning, Conceptual Design

    4.4
    Rating, 4.4 out of 5 stars
    ·
    458 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Genentech

    Hands On Clinical Reporting Using R

    Skills you'll gain: Clinical Data Management, Clinical Trials, Interactive Data Visualization, Drug Development, Data Presentation, R (Software), Pharmaceuticals, Shiny (R Package), Data Visualization, Statistical Reporting, Data Modeling, R Programming, Technical Communication, Data Manipulation, Statistical Programming, Data Import/Export, Data Transformation, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Logistic Regression, R Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    607 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Calculating Descriptive Statistics in R

    Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Probability & Statistics, Statistics, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    52 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Introduction to Applied Machine Learning

    Skills you'll gain: Data Preprocessing, Data Ethics, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Case Studies, Data Collection, Supervised Learning, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    747 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Deep Learning, Convolutional Neural Networks, Health Policy, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    608 reviews

    Beginner · Course · 1 - 3 Months

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

  • Advanced Prompt Engineering for Everyone: Vanderbilt University
  • The Unix Workbench: Johns Hopkins University
  • Logistic Regression with NumPy and Python: Coursera
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Predictive Modeling with Logistic Regression using SAS : SAS
  • Identifying Patient Populations: University of Colorado System
  • Relational database systems: Universidad Nacional Autónoma de México
  • Hands On Clinical Reporting Using R: Genentech
  • Inferential Statistics: University of Amsterdam
  • Calculating Descriptive Statistics in R: Coursera

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