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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
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    844 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Houston

    Math behind Moneyball

    Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Performance Analysis, Advanced Analytics, Data-Driven Decision-Making, Analytics, Data Analysis Software, Business Mathematics, Forecasting, Probability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    97 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    Ciência de Dados para Finanças

    Skills you'll gain: Big Data, Data Mining, Data-Driven Decision-Making, FinTech, Ggplot2, Data Visualization Software, Plot (Graphics), Deep Learning, Data Modeling, R Programming, Market Data, Predictive Analytics, Data Science, Data Analysis, Business Analytics, Data Processing, Analytics, Data Manipulation, Machine Learning, Financial Market

    4.3
    Rating, 4.3 out of 5 stars
    ·
    88 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Predictive Modeling, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Sentiment Analysis with Deep Learning using BERT

    Skills you'll gain: Text Mining, Data Cleansing, PyTorch (Machine Learning Library), Data Manipulation, Data Processing, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    398 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    24 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    The STATA OMNIBUS: Regression and Modelling with STATA

    Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Advanced Analytics, Statistical Programming, Statistical Software, Statistical Visualization, Data Visualization, Data Manipulation, Correlation Analysis, Predictive Modeling, Descriptive Statistics, Statistical Hypothesis Testing

    Beginner · Course · 3 - 6 Months

  • Status: Preview
    Preview
    H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Unsupervised Learning, Deep Learning, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Random Forest Algorithm, Data Import/Export, Data Manipulation, Feature Engineering, Statistical Methods

    4.5
    Rating, 4.5 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Probability and Statistical Methods

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Advanced Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Image Analysis, Graph Theory, Tensorflow, Artificial Neural Networks, PyTorch (Machine Learning Library), Health Informatics, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Data Synthesis, Python Programming

    3.6
    Rating, 3.6 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 4 Weeks

  • E

    EIT Digital

    Basic Recommender Systems

    Skills you'll gain: Data Ethics, AI Personalization, System Requirements, Responsible AI, Machine Learning Algorithms, Innovation, Algorithms, Unsupervised Learning, Quality Assurance, Data-Driven Decision-Making, Applied Machine Learning, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    AI Agents and Agentic AI Architecture in Python

    Skills you'll gain: Generative AI Agents, LLM Application, Prompt Patterns, Prompt Engineering, Agentic systems, Tool Calling, Large Language Modeling, Persona (User Experience), Business Logic, Application Programming Interface (API), Transaction Processing, Document Management, Coordinating, Persona Development, Coordination, Plan Execution, Data Sharing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    105 reviews

    Beginner · Course · 1 - 3 Months

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

  • Prediction and Control with Function Approximation: University of Alberta
  • Math behind Moneyball: University of Houston
  • Ciência de Dados para Finanças: Fundação Instituto de Administração
  • Sample-based Learning Methods: University of Alberta
  • Sentiment Analysis with Deep Learning using BERT: Coursera
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • The STATA OMNIBUS: Regression and Modelling with STATA: Packt
  • Practical Machine Learning on H2O: H2O.ai
  • Advanced Probability and Statistical Methods: Johns Hopkins University
  • Advanced Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign

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