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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


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    EDUCBA

    AI for Business Ethics & Financial Strategy Mastery

    Skills you'll gain: Data Ethics, Financial Modeling, Responsible AI, AI Security, Financial Forecasting, Financial Statements, Depreciation, Business Ethics, Balance Sheet, Capital Budgeting, Artificial Intelligence, Strategic Decision-Making, Data Management, Information Privacy, Financial Analysis, Excel Formulas, Ethical Standards And Conduct, Finance, Business Strategy, Business

    Beginner · Specialization · 3 - 6 Months

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    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering

    Intermediate · Course · 1 - 4 Weeks

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    Fractal Analytics

    Generative AI in User Research and Design Thinking

    Skills you'll gain: Ideation, UI/UX Research, Innovation, Design Thinking, User Research, Generative AI, Competitive Analysis, Human Centered Design, Data Ethics, Persona (User Experience), AI Workflows, Artificial Intelligence, Problem Solving, Data Collection, Data Synthesis, Critical Thinking

    4.5
    Rating, 4.5 out of 5 stars
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    15 reviews

    Beginner · Course · 1 - 4 Weeks

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    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Statistical Modeling, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

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    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    4K reviews

    Beginner · Course · 1 - 4 Weeks

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    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Mixed · Course · 1 - 3 Months

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    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    3.7K reviews

    Mixed · Course · 1 - 3 Months

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    Coursera

    Automate, Validate, and Promote ML Models Safely

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Performance Tuning, Continuous Monitoring, Performance Analysis, Scalability

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Optimize AI Inference Speed & Accuracy

    Skills you'll gain: Model Deployment, Benchmarking, Process Optimization, Cloud Deployment, Model Evaluation, Network Performance Management, Convolutional Neural Networks, Keras (Neural Network Library), Network Model, Project Performance

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Voice AI: Introduction to Building Voice Applications

    Skills you'll gain: Case Studies, User Experience Design, Business Analysis, Natural Language Processing, Application Programming Interface (API), Application Deployment, Application Development, Artificial Intelligence, Systems Integration, Scalability

    Beginner · Course · 1 - 4 Weeks

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    Scrimba

    Build AI Apps with ChatGPT, Dall-E, and GPT-4

    Skills you'll gain: Prompt Engineering, OpenAI API, Application Deployment, ChatGPT, AI Security, Serverless Computing, Cloud Applications, Model Deployment, LLM Application, Generative AI, Web Applications, Artificial Intelligence, Web Development Tools, Real Time Data

    4.7
    Rating, 4.7 out of 5 stars
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    880 reviews

    Intermediate · Course · 1 - 3 Months

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    University of Minnesota

    Interprofessional Healthcare Informatics

    Skills you'll gain: Health Informatics, Health Technology, Telehealth, Interoperability, Clinical Informatics, Informatics, Electronic Medical Record, Health Care, Health Information Management, Community Health, Healthcare Ethics, Healthcare Industry Knowledge, Public Health, Data Ethics, Geospatial Information and Technology, Data Visualization, Medical Terminology, Graph Theory

    4.4
    Rating, 4.4 out of 5 stars
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    314 reviews

    Mixed · Course · 1 - 3 Months

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

  • AI for Business Ethics & Financial Strategy Mastery: EDUCBA
  • Databricks Machine Learning Fundamentals: Coursera
  • Generative AI in User Research and Design Thinking: Fractal Analytics
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Generative AI: Introduction and Applications: IBM
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Machine Learning: Classification: University of Washington
  • Automate, Validate, and Promote ML Models Safely: Coursera
  • Optimize AI Inference Speed & Accuracy: Coursera
  • Voice AI: Introduction to Building Voice Applications: Coursera

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