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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: Free Trial
    Free Trial
    I

    IBM

    Building Generative AI-Powered Applications with Python

    Skills you'll gain: Retrieval-Augmented Generation, LangChain, LLM Application, Hugging Face, Generative AI, OpenAI, Web Applications, Flask (Web Framework), Python Programming, Natural Language Processing, Prompt Engineering, Image Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    254 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Determine Shortest Paths Between Routers Using Python

    Skills you'll gain: Data Structures, File I/O, Network Routing, Computer Networking, Object Oriented Programming (OOP), Python Programming, Network Routers, Algorithms, Computer Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    Universidad Austral

    Procesamiento de Lenguaje Natural

    Skills you'll gain: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), Data Preprocessing, Data Cleansing, Artificial Neural Networks, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Text Mining, Jupyter, Pandas (Python Package), Application Lifecycle Management, Systems Architecture, Analysis, Deep Learning, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    56 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Tweet Emotion Recognition with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    173 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Michigan

    Generative AI Essentials: Overview and Impact

    Skills you'll gain: ChatGPT, Generative AI, Large Language Modeling, Prompt Engineering, Responsible AI, Artificial Intelligence, Data Ethics, Law, Regulation, and Compliance, Social Impact, Legal Technology, Intellectual Property, Business Ethics, Economic Development, Economics, Content Creation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    315 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Exploratory Data Analysis, Data Preprocessing, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Embeddings, Data Strategy, Machine Learning, MLOps (Machine Learning Operations), Cloud Deployment, Model Evaluation, Applied Machine Learning, Unsupervised Learning, Dataflow, Data Analysis, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    92 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Computer Simulations

    Skills you'll gain: Simulations, Social Sciences, Systems Thinking, Agentic systems, Social Network Analysis, Model Evaluation, Sociology, Economics, Scientific Methods, Computer Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    84 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    K-Means Clustering 101: World Happiness Report

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    SAS

    Predictive Modeling with Logistic Regression using SAS

    Skills you'll gain: SAS (Software), Model Evaluation, Logistic Regression, Predictive Modeling, Classification And Regression Tree (CART), Big Data, Regression Analysis, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Practical Geospatial Geostatistical Modeling

    Skills you'll gain: Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Descriptive Statistics, Statistical Modeling, R Programming, Geographic Information Systems, Statistical Analysis, Probability & Statistics, Data-Driven Decision-Making, Oil and Gas, Data Analysis, Simulations, Statistical Methods, Rmarkdown, Data Cleansing, Box Plots, Plot (Graphics)

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Structured Query Language (SQL) using SAS

    Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Data Access, Statistical Programming, Data Presentation, Data Manipulation, Data Integration, Data Processing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    286 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Artificial Intelligence Algorithms Models and Limitations

    Skills you'll gain: Model Evaluation, Predictive Modeling, Data Ethics, Algorithms, Machine Learning, Predictive Analytics, Responsible AI, Artificial Intelligence, Machine Learning Algorithms, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Generative AI, Economics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    515 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Building Generative AI-Powered Applications with Python: IBM
  • Determine Shortest Paths Between Routers Using Python: Coursera
  • Procesamiento de Lenguaje Natural: Universidad Austral
  • Tweet Emotion Recognition with TensorFlow: Coursera
  • Generative AI Essentials: Overview and Impact: University of Michigan
  • Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: Google Cloud
  • Computer Simulations: University of California, Davis
  • K-Means Clustering 101: World Happiness Report: Coursera
  • Predictive Modeling with Logistic Regression using SAS : SAS
  • Practical Geospatial Geostatistical Modeling: Case Western Reserve University

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