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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
      U

      University of California, Irvine

      Identifying the Right Role for Yourself

      Skills you'll gain: Artificial Intelligence, Machine Learning, Data Science, Data Analysis, Data Architecture, Needs Assessment, Big Data, System Requirements, Analytical Skills, Business Analysis, Cloud Computing Architecture, Cloud Engineering

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Business Statistics and Analysis Capstone

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      437 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Machine Learning for Kyphosis Disease Classification

      Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Manipulation, Data Science, Data Transformation, Data Processing, Predictive Analytics, Machine Learning, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      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: Preview
      Preview
      U

      University of London

      Probability and Statistics: To p or not to p?

      Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data-Driven Decision-Making, Data Analysis, Probability, Risk Modeling, Statistical Inference, Data Visualization Software, Mathematical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Quick Start Guide to Large Language Models (LLMs): Unit 3

      Skills you'll gain: Large Language Modeling, Generative Model Architectures, Multimodal Prompts, Prompt Engineering, Deep Learning, Application Deployment, Reinforcement Learning, Image Analysis, Performance Tuning, Computer Vision

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Business Applications of Hypothesis Testing and Confidence Interval Estimation

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Basic Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistics, Statistical Analysis, Histogram, R Programming, Scatter Plots

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

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      U

      University of Colorado Boulder

      Introduction to Python for Scientific Computing

      Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Program Development, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Predictive Modeling, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      714 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Deep Learning

      Skills you'll gain: Deep Learning, Unsupervised Learning, Keras (Neural Network Library), Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Natural Language Processing, Python Programming, Generative Model Architectures

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Classification and Vector Spaces

      Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Text Mining, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Unstructured Data, Probability & Statistics

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

      Intermediate · Course · 1 - 4 Weeks

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

    • Identifying the Right Role for Yourself: University of California, Irvine
    • Business Statistics and Analysis Capstone: Rice University
    • Machine Learning for Kyphosis Disease Classification: Coursera Project Network
    • Calculating Descriptive Statistics in R: Coursera Project Network
    • Probability and Statistics: To p or not to p?: University of London
    • Quick Start Guide to Large Language Models (LLMs): Unit 3: Pearson
    • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
    • Basic Statistics: University of Amsterdam
    • Introduction to Python for Scientific Computing: University of Colorado Boulder
    • TensorFlow 2 for Deep Learning: Imperial College London

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