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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 Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • 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
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Simulation Models for Decision Making

    Skills you'll gain: Simulations, Probability Distribution, Probability, Statistics, Microsoft Excel, Excel Formulas, Complex Problem Solving, Business Process Modeling, Business Modeling, Risk Modeling, Financial Modeling, Data Modeling, Statistical Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    AI Engineer Explorer Course

    Skills you'll gain: Model Evaluation, Matplotlib, Applied Machine Learning, Data Visualization, Supervised Learning, Statistics, Data Preprocessing

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    Status: AI skills
    AI skills
    D

    DeepLearning.AI

    Fast Prototyping of GenAI Apps with Streamlit

    Skills you'll gain: Application Deployment, Cloud Deployment, Generative AI, Prompt Engineering, Prototyping, Agile Product Development, Retrieval-Augmented Generation, Application Development, Interactive Design, User Interface (UI), Data Integration

    3.9
    Rating, 3.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Artificial Intelligence for Breast Cancer Detection

    Skills you'll gain: Mammography, Artificial Intelligence, Medical Imaging, Image Analysis, Oncology, Diagnostic Radiology, Bayesian Network, Artificial Neural Networks, Radiography, Machine Learning, Model Evaluation, Epidemiology, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    77 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Image Analysis, Data Manipulation, Visualization (Computer Graphics), Convolutional Neural Networks, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Python: de usuario a explorador de datos

    Skills you'll gain: Matplotlib, NumPy, Extract, Transform, Load, Time Series Analysis and Forecasting, Pandas (Python Package), Exploratory Data Analysis, Data Science, Data Visualization Software, Data Analysis, Statistical Analysis, Graphing, Data Import/Export, Data Manipulation, Data Structures, Python Programming, Linear Algebra, File Management

    3.9
    Rating, 3.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Predict Ad Clicks Using Logistic Regression and XG-Boost

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Customer Analysis, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Logistic Regression, Data Cleansing, Data Manipulation, Advertising, Digital Advertising, Performance Analysis, Machine Learning, Python Programming, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Hyperparameter Tuning with Keras Tuner

    Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    70 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Object Localization with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Synthesis, Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    116 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    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, Data Literacy, Exploratory Data Analysis, Machine Learning, Project Implementation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to applied data science

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

  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • AI & Deep Learning Concepts and Applications: Simplilearn
  • Simulation Models for Decision Making: University of Minnesota
  • AI Engineer Explorer Course: Packt
  • Fast Prototyping of GenAI Apps with Streamlit: DeepLearning.AI
  • Artificial Intelligence for Breast Cancer Detection: Johns Hopkins University
  • Build a Machine Learning Image Classifier with Python: Coursera
  • Python: de usuario a explorador de datos: Universidad Nacional Autónoma de México
  • Predict Ad Clicks Using Logistic Regression and XG-Boost: Coursera
  • Hyperparameter Tuning with Keras Tuner: Coursera

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