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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: Preview
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    U

    University of Leeds

    Statistical Methods

    Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, R (Software), Data Collection, Statistical Inference, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Data Visualization Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

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    C

    Coursera

    GenAI for Business Intelligence Analysts

    Skills you'll gain: Business Intelligence, Generative AI, Business Analytics, Responsible AI, Business Process Automation, Data-Driven Decision-Making, Data Ethics, Data Storytelling, Exploratory Data Analysis, Project Implementation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Introduction to AI and Technology in Sports

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Analytics, Artificial Intelligence, Data Analysis Software, Data Analysis, Deep Learning, Real Time Data, Machine Learning, Data Ethics, Health Technology, Responsible AI, Emerging Technologies, Internet Of Things, Large Language Modeling, Technology Solutions, Scikit Learn (Machine Learning Library), Technology Strategies, Statistical Methods, Natural Language Processing, Performance Appraisal

    4.5
    Rating, 4.5 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    N

    New York University

    Reinforcement Learning in Finance

    Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Markov Model, Financial Modeling, Securities Trading, Portfolio Management, Risk Management, Market Dynamics, Machine Learning, Estimation

    3.6
    Rating, 3.6 out of 5 stars
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    134 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
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    N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Feature Engineering, Supervised Learning, Applied Machine Learning, Machine Learning, Decision Tree Learning, Random Forest Algorithm, Deep Learning, Artificial Neural Networks, Unsupervised Learning, Dimensionality Reduction, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    35 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming

    4.2
    Rating, 4.2 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Responsible AI - Principles and Ethical Considerations

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Ethical Standards And Conduct, Information Privacy, Personally Identifiable Information, Data Governance, Data Security, Governance, Accountability, Complex Problem Solving, Mitigation, Critical Thinking

    4.5
    Rating, 4.5 out of 5 stars
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    21 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Curso Completo de Deep Learning

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Machine Learning, Machine Learning Algorithms, Data Processing

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Using probability distributions for real world problems in R

    Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability

    4.8
    Rating, 4.8 out of 5 stars
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    32 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Advanced Analytics, Statistical Modeling, R (Software), Statistical Analysis, Statistical Inference, Data Analysis, Mathematical Modeling, Probability Distribution

    4.2
    Rating, 4.2 out of 5 stars
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    17 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Optimization for Decision Making

    Skills you'll gain: Operations Research, Mathematical Modeling, Business Modeling, Business Analytics, Analytics, Business Mathematics, Process Optimization, Data-Driven Decision-Making, Microsoft Excel, Solution Design, Decision Making, Linear Algebra, Resource Allocation, Graphing

    4.7
    Rating, 4.7 out of 5 stars
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    88 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    H

    H2O.ai

    Large Language Models

    Skills you'll gain: Large Language Modeling, LLM Application, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Data Management, Prompt Engineering, Training Programs, Data Validation, Data Cleansing, Program Evaluation, Natural Language Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Data Transformation, Verification And Validation, Data Quality, Performance Tuning, Data Processing

    3.5
    Rating, 3.5 out of 5 stars
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    13 reviews

    Intermediate · Specialization · 3 - 6 Months

Searches related to applied data science

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

  • Statistical Methods: University of Leeds
  • GenAI for Business Intelligence Analysts: Coursera
  • Introduction to AI and Technology in Sports: Real Madrid Graduate School Universidad Europea
  • Reinforcement Learning in Finance: New York University
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • AI & Deep Learning Concepts and Applications: Simplilearn
  • Responsible AI - Principles and Ethical Considerations: Fractal Analytics
  • Curso Completo de Deep Learning: Coursera
  • Using probability distributions for real world problems in R: Coursera
  • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz

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