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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: Preview
      Preview
      J

      Johns Hopkins University

      Foundational Mathematics for AI

      Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Simplilearn

      LangChain and Workflow Design Course

      Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, Artificial Intelligence, Application Development, Application Programming Interface (API)

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Linear Algebra: Linear Systems and Matrix Equations

      Skills you'll gain: Linear Algebra, Algebra, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      148 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      C

      Columbia University

      Causal Inference

      Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Estimation, Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Program Evaluation, Decision Making

      3.4
      Rating, 3.4 out of 5 stars
      ·
      100 reviews

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Use AI as a Creative or Expert Partner

      Skills you'll gain: Prompt Engineering, Generative AI Agents, ChatGPT, AI Personalization, Ideation, Solution Design, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      878 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of Minnesota

      Interprofessional Healthcare Informatics

      Skills you'll gain: Health Informatics, Health Technology, Telehealth, Interoperability, Electronic Medical Record, Health Care, Health Information Management, Community Health, Health Systems, Public Health, Data Ethics, Nursing, Data Visualization, Information Privacy, Medical Terminology, Graph Theory

      4.4
      Rating, 4.4 out of 5 stars
      ·
      313 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Analytics for Decision Making

      Skills you'll gain: Time Series Analysis and Forecasting, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Business Modeling, Business Analytics, Analytics, Regression Analysis, Microsoft Excel, Forecasting, Data Modeling, Business Mathematics, Process Optimization, Data-Driven Decision-Making, Statistics, Predictive Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      269 reviews

      Beginner · Specialization · 3 - 6 Months

    • 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
      I

      IBM

      Machine Learning Capstone

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      156 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Foundations of Probability and Random Variables

      Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Data Analysis, Probability, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Computational Thinking, Artificial Intelligence and Machine Learning (AI/ML), Simulations

      Intermediate · 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 AI, MLOps (Machine Learning Operations), Deep Learning, PyTorch (Machine Learning Library), Application Deployment, Cloud Computing, Natural Language Processing, Reinforcement Learning, Image Analysis, Performance Tuning, Computer Vision

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      S

      SAS

      Machine Learning Using SAS Viya

      Skills you'll gain: Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Artificial Neural Networks, Data Cleansing, Predictive Analytics, Statistical Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      102 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Foundational Mathematics for AI: Johns Hopkins University
    • LangChain and Workflow Design Course: Simplilearn
    • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
    • Causal Inference: Columbia University
    • Use AI as a Creative or Expert Partner: Google
    • Interprofessional Healthcare Informatics : University of Minnesota
    • Analytics for Decision Making: University of Minnesota
    • Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
    • Machine Learning Capstone: IBM
    • Foundations of Probability and Random Variables: Johns Hopkins University

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