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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


  • Status: Free Trial
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    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Tensorflow, Artificial Neural Networks, Classification Algorithms, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning Methods, Model Evaluation, Data Preprocessing, Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
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    Coursera

    Engineer AI Models: Explain, Tune & Experiment

    Skills you'll gain: Feature Engineering, Fraud detection, Jupyter, Program Management, Responsible AI, Model Evaluation, Project Management, Performance Improvement, Performance Metric, Business Analytics, Credit Risk, Performance Analysis, Performance Tuning, Machine Learning Methods, Test Planning, Test Engineering, Research Design, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    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: Preview
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    B

    Board Infinity

    Excel Essentials and Beyond

    Skills you'll gain: Pivot Tables And Charts, Dashboard, Data Presentation, Data Visualization, Spreadsheet Software, Data Storytelling, Data Visualization Software, Excel Formulas, Data Analysis, Data-Driven Decision-Making, Data Cleansing, Data Validation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    50 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
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    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Algorithms, Machine Learning, Data Validation, Logistic Regression, Algorithms, Data Preprocessing, Feature Engineering, Applied Machine Learning, Verification And Validation, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    331 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting

    3.9
    Rating, 3.9 out of 5 stars
    ·
    375 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Microsoft

    Build and Operate Machine Learning Solutions with Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Data Ethics, Model Deployment, Data Pipelines, Data Preprocessing, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Continuous Monitoring, Data Security, Performance Tuning

    3.7
    Rating, 3.7 out of 5 stars
    ·
    69 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Statistical Analysis Fundamentals using Excel

    Skills you'll gain: Data Visualization, Descriptive Statistics, Regression Analysis, Forecasting, Business Analytics, Data Analysis, Statistical Analysis, Statistical Methods, Microsoft Excel, Statistics, Spreadsheet Software, Predictive Analytics, Probability

    4.6
    Rating, 4.6 out of 5 stars
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    137 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Voice AI: Introduction to Building Voice Applications

    Skills you'll gain: Case Studies, User Experience Design, Business Analysis, Natural Language Processing, Application Programming Interface (API), Application Deployment, Application Development, Artificial Intelligence, Systems Integration, Scalability

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    Inteligência Artificial Aplicada ao CRM

    Skills you'll gain: Customer Relationship Management, Customer Data Management, Big Data, Data Mining, Data-Driven Decision-Making, Predictive Analytics, Sales Management, Ggplot2, Data Visualization Software, Plot (Graphics), Data Modeling, R Programming, Customer Insights, Customer Acquisition Management, Analytics, Customer experience strategy (CX), Customer Retention, Data Manipulation, Applied Machine Learning, Machine Learning Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    103 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Generative AI Foundations

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Applied Machine Learning

    4
    Rating, 4 out of 5 stars
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    16 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Introduction to Neural Networks and PyTorch: IBM
  • Engineer AI Models: Explain, Tune & Experiment: Coursera
  • Mastering Claude AI: Prompting, APIs, RAG, and MCP: Edureka
  • Excel Essentials and Beyond: Board Infinity
  • Fundamentals of Reinforcement Learning: University of Alberta
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • Build and Operate Machine Learning Solutions with Azure: Microsoft
  • Statistical Analysis Fundamentals using Excel: IBM
  • Voice AI: Introduction to Building Voice Applications: Coursera

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