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  • Applied Data Science

Applied Data Science Courses

Applied Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization techniques. You can build skills in data cleaning, exploratory data analysis, and predictive analytics to derive insights from complex datasets. Many courses introduce tools like Python, R, and SQL, along with libraries such as Pandas and Scikit-learn, that support implementing data-driven solutions and automating processes in real-world applications.


Popular Applied Data Science Courses and Certifications


  • C

    Coursera

    Github CoPilot for Beginners: Write Software With AI

    Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design and Development, Prompt Engineering, Web Development Tools, Web Development, Generative AI, GitHub, Javascript, Artificial Intelligence, Software Engineering, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    73 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistics, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Management, Virtual Machines

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Generative AI for Kids, Parents, and Teachers

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Anthropic Claude, ChatGPT, Generative AI, Creative Thinking, Brainstorming, Game Design, Critical Thinking, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
    ·
    105 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Real-time analytics with Spark: User Activity Monitoring

    Skills you'll gain: Apache Spark, Data Pipelines, PySpark, Real Time Data, Query Languages, Data Transformation, SQL, Data Processing, Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Regression, Classification, and Clustering Models

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Regression Analysis, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Feature Engineering, Classification And Regression Tree (CART), Performance Tuning, Dimensionality Reduction, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 3 Months

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

    Packt

    Generative AI, LLMs, and Advanced Applications with Python

    Skills you'll gain: Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, ChatGPT, OpenAI, Generative AI Agents, Prompt Patterns, Applied Machine Learning, Prompt Engineering, Deep Learning, Application Programming Interface (API), Natural Language Processing, Machine Learning Algorithms

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Planning a Machine Learning Project

    Skills you'll gain: Feasibility Studies, Business Analysis, Business Analytics, Strategic Decision-Making, Applied Machine Learning, Data-Driven Decision-Making, Machine Learning, Strategic Thinking, Business Leadership, Project Planning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rutgers the State University of New Jersey

    Sourcing Analytics

    Skills you'll gain: Strategic Sourcing, Procurement, Supplier Management, Supply Chain, Supplier Performance Management, Supply Management, Supply Chain Management, Benchmarking, Competitive Analysis, Business Analytics, Analytics, Business Intelligence, Financial Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    SPSS: Apply & Interpret Logistic Regression Models

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    ·
    48 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Réseaux neuronaux convolutifs

    Skills you'll gain: Computer Vision, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Dimensionality Reduction, Visualization (Computer Graphics), Applied Machine Learning, Network Architecture, Algorithms

    Intermediate · Course · 1 - 4 Weeks

Searches related to applied data science

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

  • Github CoPilot for Beginners: Write Software With AI: Coursera
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Generative AI for Kids, Parents, and Teachers: Vanderbilt University
  • Real-time analytics with Spark: User Activity Monitoring: Coursera
  • Build Regression, Classification, and Clustering Models: CertNexus
  • Generative AI, LLMs, and Advanced Applications with Python: Packt
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Planning a Machine Learning Project: Amazon Web Services
  • Sourcing Analytics: Rutgers the State University of New Jersey
  • SPSS: Apply & Interpret Logistic Regression Models: EDUCBA

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