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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

      Unsupervised Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      336 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Business Intelligence Concepts, Tools, and Applications

      Skills you'll gain: Business Intelligence, Data Visualization, Decision Support Systems, Business Intelligence Software, Business Process Management, Data Warehousing, Performance Measurement, MicroStrategy, Data Visualization Software, Business Analytics, Dashboard, Competitive Intelligence, Key Performance Indicators (KPIs), Data-Driven Decision-Making, Business Reporting, Data Analysis, Six Sigma Methodology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      648 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Essential Design Principles for Tableau

      Skills you'll gain: Data Visualization, Data Visualization Software, Tableau Software, Data Storytelling, Data Presentation, Exploratory Data Analysis, Design Elements And Principles, Data Analysis, Color Theory, Data Ethics, User Centered Design, Human Factors

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Linear Algebra from Elementary to Advanced

      Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      197 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI For Medical Treatment

      Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Treatment Planning, Data Analysis, Precision Medicine, Applied Machine Learning, Patient Treatment, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Medical Science and Research, Text Mining, Health Informatics, Large Language Modeling, Medical Terminology, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      528 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning with Apache Spark

      Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Classification And Regression Tree (CART), Data Transformation, Regression Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      109 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Engineering with LLMs

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Generative AI Agents, Natural Language Processing, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Data Pipelines, Artificial Intelligence, Text Mining, Data Ethics, Artificial Neural Networks, Application Development, Deep Learning, Applied Machine Learning, Performance Tuning, Semantic Web, Reinforcement Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      636 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Vector Database Fundamentals

      Skills you'll gain: MongoDB, NoSQL, Databases, PostgreSQL, Relational Databases, Data Store, SQL, Applied Machine Learning, Artificial Intelligence, Database Architecture and Administration, Database Management, Natural Language Processing, Apache Cassandra, Text Mining, Generative AI, Node.JS, Image Analysis, Data Architecture, Machine Learning, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      62 reviews

      Intermediate · Specialization · 1 - 4 Weeks

    • Status: Preview
      Preview
      E

      Eindhoven University of Technology

      Improving your statistical inferences

      Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Statistical Methods, Probability & Statistics, Sample Size Determination, Research, Data Collection, R Programming, Data Sharing, Probability Distribution

      4.9
      Rating, 4.9 out of 5 stars
      ·
      799 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Statistical Learning for Engineering Part 2

      Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Decision Tree Learning, Generative AI, Random Forest Algorithm, Predictive Modeling, Feature Engineering

      Intermediate · Course · 1 - 3 Months

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

      Pearson

      Learning Deep Learning

      Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Computer Vision, Natural Language Processing, Artificial Neural Networks, Data Ethics, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Application Deployment, Time Series Analysis and Forecasting, Machine Learning, Performance Tuning, Python Programming, Algorithms, Network Architecture

      Intermediate · Specialization · 1 - 4 Weeks

    • C

      Coursera Project Network

      Employee Attrition Prediction Using Machine Learning

      Skills you'll gain: Data Visualization, Feature Engineering, Data Cleansing, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Science, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Supervised Learning, Predictive Analytics, Machine Learning, Human Resources, Decision Tree Learning, Employee Retention

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • Unsupervised Machine Learning: IBM
    • Business Intelligence Concepts, Tools, and Applications: University of Colorado System
    • Essential Design Principles for Tableau: University of California, Davis
    • Linear Algebra from Elementary to Advanced: Johns Hopkins University
    • AI For Medical Treatment: DeepLearning.AI
    • Machine Learning with Apache Spark: IBM
    • Generative AI Engineering with LLMs: IBM
    • Vector Database Fundamentals: IBM
    • Improving your statistical inferences: Eindhoven University of Technology
    • Statistical Learning for Engineering Part 2: Northeastern University

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