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Data Courses

Data courses can help you learn data analysis, statistical methods, data visualization, and machine learning principles. You can build skills in interpreting datasets, making data-driven decisions, and communicating insights effectively. Many courses introduce tools such as Python, R, SQL, and Tableau, that support analyzing data and presenting findings in a clear, impactful way.

Popular Data Courses and Certifications


  • I

    IBM

    Generative AI: Impact, Considerations, and Ethical Issues

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Business Ethics, AI literacy, Legal Risk, Socioeconomics, Ethical Standards And Conduct, Corporate Sustainability, Environmental Social And Corporate Governance (ESG), Social Impact, Information Privacy, Accountability, Data Quality

    4.8 stars, 341 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.8 (341) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Correlation Analysis, Statistical Programming, Statistical Modeling, Logistic Regression, Predictive Modeling

    4.4 stars, 613 reviews, Mixed, Course, 1 - 3 Months

    ★ 4.4 (613) · Mixed · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • T

    Tableau Learning Partner

    Business Analysis Process

    Skills you'll gain: Requirements Elicitation, Business Analysis, Business Analysis Tools, Business Metrics, Stakeholder Analysis, Key Performance Indicators (KPIs), Requirements Analysis, Business Requirements, Stakeholder Management, User Requirements Documents, Business Process, Business Process Modeling, Process Flow Diagrams, Data Visualization, Stakeholder Engagement, Process Modeling, Diagram Design, Requirements Management, Solution Delivery

    4.7 stars, 143 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.7 (143) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.5 stars, 316 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.5 (316) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Model Optimization, Model Training, Artificial Neural Networks, Model Evaluation

    4.9 stars, 1.1K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.9 (1.1K) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • W

    Whizlabs

    Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Prompt Engineering Tools, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Generative Model Architectures, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, LLM Application, Recurrent Neural Networks (RNNs)

    4.4 stars, 62 reviews, Intermediate, Specialization, 3 - 6 Months

    ★ 4.4 (62) · Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • U

    University of Minnesota

    Analytics for Decision Making

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain Planning, Supply Chain, Probability, Predictive Modeling, Statistical Methods, Data Preprocessing, Transportation, Supply Chain, and Logistics, Business Modeling, Simulation and Simulation Software, Model Training, Business Analytics, Workforce Management, Analytics, Predictive Analytics

    4.7 stars, 309 reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.7 (309) · Beginner · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Fine-tuning, Machine Learning, Artificial Intelligence, Computer Vision

    4.6 stars, 305 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.6 (305) · Intermediate · Course · 1 - 3 Months

    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 Methods, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Case Studies, Data Collection, Business Priorities, Supervised Learning, Business Requirements, Business Analysis, Unsupervised Learning, Artificial Intelligence

    4.7 stars, 748 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.7 (748) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Plot (Graphics), Seaborn, Matplotlib, Statistical Visualization, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Python Programming, Data Manipulation

    4.6 stars, 298 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.6 (298) · Intermediate · Guided Project · Less Than 2 Hours

  • D

    DeepLearning.AI

    AI For Medical Treatment

    Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Statistical Methods, Treatment Planning, Data Analysis, Precision Medicine, Model Evaluation, Applied Machine Learning, Patient Treatment, Clinical Documentation, Statistical Machine Learning, Machine Learning Methods, AI Personalization, Machine Learning, Medical Science and Research, Text Mining, Health Informatics, Large Language Modeling

    4.7 stars, 544 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.7 (544) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • R

    Rice University

    Business Statistics and Analysis Capstone

    Skills you'll gain: Business Analytics, Statistical Analysis, Data Analysis, Presentations, Data Presentation, Statistics, Statistical Reporting, Data Literacy, Analytical Skills, Analysis, Technical Communication, Predictive Analytics, Exploratory Data Analysis, Regression Analysis, Descriptive Statistics, Microsoft Excel

    4.7 stars, 443 reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.7 (443) · Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
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In summary, here are 10 of our most popular data courses

  • Generative AI: Impact, Considerations, and Ethical Issues: IBM
  • Inferential Statistics: University of Amsterdam
  • Business Analysis Process: Tableau Learning Partner
  • Machine Learning Introduction for Everyone: IBM
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs
  • Analytics for Decision Making: University of Minnesota
  • Deep Learning and Reinforcement Learning: IBM
  • Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute
  • Principal Component Analysis with NumPy: Coursera

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