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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: New
    New
    Status: Free
    Free
    A

    Amazon Web Services

    Using Amazon Q to Enhance Applications and Developer Productivity

    Skills you'll gain: Code Review, Process Driven Development, Software Development Tools, AI Workflows, Program Development

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Advanced Models for Decision Making

    Skills you'll gain: Operations Research, Supply Chain, Workforce Management, Business Analytics, Applied Mathematics, Mathematical Modeling, Process Optimization, Manufacturing Operations, Operations Management, Workforce Planning, Financial Modeling, Business Analysis, Microsoft Excel, Resource Allocation, Finance, Analytics, Production Planning, Portfolio Management, Investment Management, Decision Making

    4.8
    Rating, 4.8 out of 5 stars
    ·
    56 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    Statistics in Psychological Research

    Skills you'll gain: Data Visualization, Descriptive Statistics, Plot (Graphics), Data Literacy, Graphing, Statistical Hypothesis Testing, Probability & Statistics, Statistical Inference, Quantitative Research, Statistics, Statistical Analysis, Sample Size Determination, Data Analysis, Sampling (Statistics), Exploratory Data Analysis, Scatter Plots, Correlation Analysis, Psychology, Research Design, Scientific Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    63 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

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

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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    137 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Functions and Conditional Statements

    Skills you'll gain: Software Design, Computational Logic, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Performing Network, Path, and Text Analyses in SAS Visual Analytics

    Skills you'll gain: SAS (Software), Network Analysis, Text Mining, Spatial Analysis, Data Visualization, Data Manipulation, Data Analysis, Exploratory Data Analysis, Statistical Programming, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    194 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidades Anáhuac

    Ciencia de Datos e IA : De los Fundamentos a la Práctica

    Skills you'll gain: Predictive Modeling, Model Evaluation, Data Cleansing, Time Series Analysis and Forecasting, Database Management, Artificial Neural Networks, SQL, Databases, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Statistical Modeling, Data Modeling, Data Visualization Software, Forecasting, Pandas (Python Package), Data Science, Supervised Learning, Convolutional Neural Networks

    2.7
    Rating, 2.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Data Science, Probability & Statistics, Dimensionality Reduction, Statistical Hypothesis Testing, Feature Engineering

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    NLP: Twitter Sentiment Analysis

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Preprocessing, Data Analysis, Classification Algorithms, Python Programming, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    372 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Stability and Capability in Quality Improvement

    Skills you'll gain: Process Capability, Statistical Process Controls, R (Software), Statistical Analysis, Data Analysis Software, R Programming, Quality Control, Quality Improvement, Statistical Methods, Process Analysis, Data Transformation, Statistical Hypothesis Testing, Probability Distribution

    Build toward a degree

    4.1
    Rating, 4.1 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Using Amazon Q to Enhance Applications and Developer Productivity: Amazon Web Services
  • Advanced Models for Decision Making: University of Minnesota
  • Statistics in Psychological Research: American Psychological Association
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Functions and Conditional Statements: Google
  • Performing Network, Path, and Text Analyses in SAS Visual Analytics: SAS
  • Ciencia de Datos e IA : De los Fundamentos a la Práctica: Universidades Anáhuac
  • Machine Learning Essentials: University of Pennsylvania

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