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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
    D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Forecast bikeshare demand using time series models in R

    Skills you'll gain: R Programming, R (Software), Data Visualization, Time Series Analysis and Forecasting, Interactive Data Visualization, Tidyverse (R Package), Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Forecasting, Business Strategy, Demand Planning, Data Preprocessing, Model Evaluation, Machine Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    Ferramentas para Ciência de Dados: Introdução ao R

    Skills you'll gain: Ggplot2, Data Visualization Software, Plot (Graphics), R Programming, Data Manipulation, Tidyverse (R Package), Data Structures, Data Analysis, Statistical Programming, Integrated Development Environments, Data Import/Export, Software Installation

    2.8
    Rating, 2.8 out of 5 stars
    ·
    9 reviews

    Beginner · Course

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Meaningful Predictive Modeling

    Skills you'll gain: Model Evaluation, Predictive Modeling, Data Validation, Regression Analysis, Supervised Learning, Feature Engineering, Python Programming, Statistical Methods, Machine Learning Methods, Data Preprocessing, Classification Algorithms, Natural Language Processing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    48 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    NLP – Embeddings & Text Preprocessing in Python

    Skills you'll gain: Data Preprocessing, Embeddings, Text Mining, Data Processing, Multilingualism, Applied Machine Learning, Pandas (Python Package), Data Transformation, NumPy, Scikit Learn (Machine Learning Library), Computer Programming, Software Installation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    AI Applications: Computer Vision and Speech Recognition

    Skills you'll gain: Computer Vision, Applied Machine Learning, Digital Signal Processing

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    TensorFlow for Beginners: Basic Binary Image Classification

    Skills you'll gain: Model Deployment, Tensorflow, Model Evaluation, Data Preprocessing, Image Analysis, Artificial Neural Networks, Convolutional Neural Networks, Data Processing, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    BiteSize Python: NumPy and Pandas

    Skills you'll gain: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Cleansing, Statistical Methods, Data Analysis, Exploratory Data Analysis

    Intermediate · 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

  • 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

  • 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

  • C

    Coursera

    Transfer Learning for NLP with TensorFlow Hub

    Skills you'll gain: Transfer Learning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    181 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Explainable Machine Learning (XAI): Duke University
  • Forecast bikeshare demand using time series models in R: Coursera
  • Ferramentas para Ciência de Dados: Introdução ao R: Fundação Instituto de Administração
  • Meaningful Predictive Modeling: University of California San Diego
  • NLP – Embeddings & Text Preprocessing in Python: Packt
  • AI Applications: Computer Vision and Speech Recognition: Edureka
  • TensorFlow for Beginners: Basic Binary Image Classification: Coursera
  • BiteSize Python: NumPy and Pandas: University of Colorado Boulder
  • Predict Ad Clicks Using Logistic Regression and XG-Boost: Coursera
  • GenAI for Business Intelligence Analysts: Coursera

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