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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.


More to explore:

Popular Applied Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Social Media Analytics

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Visualization, Graph Theory, Relational Databases, Data Visualization Software, Data Storytelling, Data Analysis, Exploratory Data Analysis, Social Sciences, Statistical Analysis, Machine Learning, R Programming, Analytics, Sociology, Natural Language Processing, Data Manipulation, Text Mining, Social Impact, Statistical Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Introduction to RNN and DNN

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    34 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Generative AI for Business Consultants

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Data Ethics, Management Consulting, Artificial Intelligence, Business Consulting, Consulting, ChatGPT, Technical Consulting, AI Enablement, Microsoft Copilot, Quality Assurance, Market Research, Large Language Modeling, Automation, Technical Communication, Ethical Standards And Conduct, Critical Thinking, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
    ·
    195 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Continuous Deployment, Machine Learning, Continuous Integration, Automation, Data Pipelines

    4
    Rating, 4 out of 5 stars
    ·
    479 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad de los Andes

    Introducción a la inteligencia artificial contemporánea

    Skills you'll gain: Artificial Intelligence, Reinforcement Learning, Computer Vision, Machine Learning, Semantic Web, Natural Language Processing, Embedded Systems, Responsible AI, Data Ethics, Supervised Learning, Artificial Neural Networks, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    312 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Factorial and Fractional Factorial Designs

    Skills you'll gain: Experimentation, Statistical Analysis, Statistical Methods, Variance Analysis, Data Analysis, Sample Size Determination, Statistical Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    80 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Moneyball and Beyond

    Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • 2

    28DIGITAL

    Quantitative Formal Modeling and Worst-Case Performance Analysis

    Skills you'll gain: Computational Thinking, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Performance Testing, Embedded Systems, Graph Theory, Technical Documentation, Model Evaluation, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
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    44 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    LLM Engineering with RAG: Optimizing AI Solutions

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Vector Databases, Model Deployment, OpenAI API, Hugging Face, Scalability, Embeddings, Generative AI, Data Integration, Data Science, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Human Factors in AI

    Skills you'll gain: Responsible AI, Data Ethics, Human Computer Interaction, User Experience Design, Human Centered Design, Human Factors, AI Product Strategy, Personally Identifiable Information, Information Privacy, General Data Protection Regulation (GDPR), Artificial Intelligence, Design Thinking, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    189 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, 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

  • Social Media Analytics: Johns Hopkins University
  • Introduction to RNN and DNN: Packt
  • Deep Learning for Computer Vision: MathWorks
  • Generative AI for Business Consultants: Fractal Analytics
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Introducción a la inteligencia artificial contemporánea: Universidad de los Andes
  • Factorial and Fractional Factorial Designs: Arizona State University
  • Moneyball and Beyond: University of Michigan
  • Quantitative Formal Modeling and Worst-Case Performance Analysis: 28DIGITAL
  • LLM Engineering with RAG: Optimizing AI Solutions: Coursera

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