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    • Applied Data Science

    Applied Data Science Courses Online

    Master applied data science techniques for real-world problem-solving. Learn data manipulation, visualization, and machine learning using Python.

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    Explore the Applied Data Science Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Foundations for Everyone

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, OpenAI, Workflow Management, Large Language Modeling, Machine Learning, Self Service Technologies, Application Deployment, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Content Creation, Business Process Automation, Customer Service, Personalized Service, Market Opportunities, IBM Cloud, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      31K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Foundations of Probability and Statistics

      Skills you'll gain: Probability, Statistical Inference, Markov Model, Estimation, Statistical Methods, Probability & Statistics, Probability Distribution, Statistical Analysis, Sampling (Statistics), Bayesian Statistics, Statistics, Applied Mathematics, Mathematical Modeling, Statistical Modeling, Data Science, Data Analysis, Machine Learning Algorithms, Generative AI Agents, Artificial Intelligence

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      309 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Science, Jupyter, Algorithms, Python Programming, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, Keras (Neural Network Library), Supervised Learning, Deep Learning, Reinforcement Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Generative AI Agents, Natural Language Processing, Tensorflow, Artificial Neural Networks, OpenAI, Machine Learning, Python Programming, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      C

      Coursera

      First Steps in Python with Jupyter Notebooks

      Skills you'll gain: Git (Version Control System), Version Control, GitHub, Jupyter, Python Programming, Programming Principles, Data Science, Generative AI, Development Environment, Integrated Development Environments, Computer Programming, Data Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Birla Institute of Technology & Science, Pilani

      Probability and Statistics

      Skills you'll gain: Data Analysis, Statistical Analysis, Analytics, Statistical Modeling, Predictive Modeling, Applied Mathematics, Data Visualization

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Generative AI, Regression Analysis, Dimensionality Reduction, Reinforcement Learning, Deep Learning, Data Analysis, Statistical Inference, Applied Machine Learning, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Birla Institute of Technology & Science, Pilani

      Linear Algebra for Machine Learning & AI

      Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Numerical Analysis, Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Data Analysis

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics

      Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Statistics, Probability, Statistical Machine Learning, Statistical Analysis, Statistical Methods, Markov Model, Data Analysis, Advanced Analytics, Mathematical Modeling, Microsoft Excel, Data Science, Probability Distribution, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Machine Learning: Supervised Learning

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Python Programming, Classification And Regression Tree (CART), Mathematical Modeling, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Feature Engineering, Data Cleansing, Performance Tuning

      Build toward a degree

      3.4
      Rating, 3.4 out of 5 stars
      ·
      79 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Modeling and Predicting Climate Anomalies

      Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Data Science, Environmental Policy, Data Analysis, Energy and Utilities, Data Visualization, Pandas (Python Package), Scikit Learn (Machine Learning Library), Environment, International Relations, Environmental Regulations, Policy Analysis

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning

      Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • AI Foundations for Everyone: IBM
    • Foundations of Probability and Statistics: University of Colorado Boulder
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London
    • IBM AI Engineering: IBM
    • First Steps in Python with Jupyter Notebooks: Coursera
    • Probability and Statistics: Birla Institute of Technology & Science, Pilani
    • IBM Machine Learning: IBM
    • Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
    • Bayesian Statistics: University of California, Santa Cruz
    • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder

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