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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

    MYSQL Workbench إنشاء و تصميم قواعد البيانات باستخدام

    Skills you'll gain: MySQL Workbench, Database Design, Database Development, Database Systems, Relational Databases, Database Management, SQL, Data Manipulation, Data Analysis, Data Science

    5
    Rating, 5 out of 5 stars
    ·
    11 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Logistic Regression, R Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    607 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Mastering Claude AI: Prompting, APIs, RAG, and MCP

    Skills you'll gain: Retrieval-Augmented Generation, Model Context Protocol, Agentic Workflows, Prompt Engineering, Anthropic Claude, AI Orchestration, Application Programming Interface (API), Prompt Patterns, Restful API, Prompt Engineering Tools, LLM Application, JSON, Generative AI Agents, Tool Calling, Generative AI, Artificial Intelligence, Agentic systems, Automation, Scalability, Servers

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Agentic AI Content for Practitioners (Teams: HR)

    Skills you'll gain: AI Enablement, Human Capital, People Analytics, Workforce Development, Business Process Automation, Digital Transformation, Employee Engagement, Recruitment, Constructive Feedback

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Politecnico di Milano

    Tools and Practices for Addressing Pandemic Challenges

    Skills you'll gain: Socioeconomics, Epidemiology, Crisis Management, Health Technology, Health Policy, Social Sciences, Infectious Diseases, Social Work, Public Health, Telehealth, Mental Health, Health Informatics, Surveys, Data-Driven Decision-Making, Data Science, Artificial Intelligence

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    U

    University of California San Diego

    مقدمة عن البيانات الضخمة

    Skills you'll gain: Apache Hadoop, Big Data, Data Science, Scalability, Data Processing, Data Analysis, Distributed Computing, Data Quality, Virtual Machines

    4.5
    Rating, 4.5 out of 5 stars
    ·
    112 reviews

    Mixed · Course · 1 - 3 Months

  • 2

    28DIGITAL

    Quantitative Model Checking

    Skills you'll gain: Computational Logic, Markov Model, Verification And Validation, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Statistical Modeling, Probability, Algorithms, Probability Distribution

    4.3
    Rating, 4.3 out of 5 stars
    ·
    54 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    Eindhoven University of Technology

    Improving Your Statistical Questions

    Skills you'll gain: Science and Research, Research Design, Research, Quantitative Research, Experimentation, Sample Size Determination, Data Sharing, Statistical Inference, Statistical Methods, Statistical Analysis, Data Synthesis, R Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    112 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Ein Crashkurs in Datenwissenschaft

    Skills you'll gain: Data Science, Data Management, Organizational Effectiveness, Data Analysis, Data-Driven Decision-Making, Project Design, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    450 reviews

    Intermediate · Course · 1 - 3 Months

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

  • MYSQL Workbench إنشاء و تصميم قواعد البيانات باستخدام: Coursera
  • Foundations of Probability and Random Variables: Johns Hopkins University
  • Inferential Statistics: University of Amsterdam
  • Mastering Claude AI: Prompting, APIs, RAG, and MCP: Edureka
  • Agentic AI Content for Practitioners (Teams: HR): Coursera
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Tools and Practices for Addressing Pandemic Challenges: Politecnico di Milano
  • مقدمة عن البيانات الضخمة: University of California San Diego
  • Quantitative Model Checking: 28DIGITAL
  • Improving Your Statistical Questions: Eindhoven University of Technology

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