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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


  • C

    Coursera

    Cómo importar datos y crear visualizaciones en Python

    Skills you'll gain: Matplotlib, Data Visualization Software, Data Visualization, Pandas (Python Package), Jupyter, Data Import/Export, Data Science, Data Analysis, Analytical Skills, Python Programming, Scripting

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • S

    SAS

    Practical SAS Programming and Certification Review

    Skills you'll gain: SAS (Software), Data Import/Export, Statistical Analysis, Data Analysis, Statistical Programming, Data Manipulation, Exploratory Data Analysis, Data Preprocessing, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    356 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    Generative AI: Elevate your Business Intelligence Career

    Skills you'll gain: Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Data Visualization, Dashboard, Generative AI, Data Storytelling, Data Ethics, Artificial Intelligence, Prompt Engineering, SQL, Data Analysis, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Fake News Detection with Machine Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Matplotlib, Data Cleansing, Data Analysis, Data Preprocessing, Natural Language Processing, Data Manipulation, Python Programming, Machine Learning, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    264 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Mastering AI: Neural Nets, Vision System, Speech Recognition

    Skills you'll gain: Supervised Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning Methods, Convolutional Neural Networks, Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, Classification Algorithms, Artificial Intelligence, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Machine Learning, Seaborn, Applied Machine Learning, Digital Signal Processing, Statistical Inference

    3.3
    Rating, 3.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Deep Learning, Autoencoders, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    LLM Engineering with RAG: Optimizing AI Solutions

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Vector Databases, Model Deployment, OpenAI API, Hugging Face, Scalability, Embeddings, Generative AI, Data Integration, Data Science, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Better Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    685 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Evaluations of AI Applications in Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Responsible AI, Medical Devices, Artificial Intelligence, Health Technology, Healthcare Industry Knowledge, Clinical Assessment, Model Evaluation, Health Equity, Health Informatics, Regulatory Compliance, Application Deployment, Continuous Monitoring, Decision Support Systems, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    324 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Impact, Considerations, and Ethical Issues

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Business Ethics, Legal Risk, Socioeconomics, Social Impact, Information Privacy, Workforce Development, Accountability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    302 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

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

  • Cómo importar datos y crear visualizaciones en Python: Coursera
  • Build and deploy a stroke prediction model using R: Coursera
  • Practical SAS Programming and Certification Review: SAS
  • Generative AI: Elevate your Business Intelligence Career: SkillUp
  • Fake News Detection with Machine Learning: Coursera
  • Mastering AI: Neural Nets, Vision System, Speech Recognition: Edureka
  • Deep Learning with Keras and Tensorflow: IBM
  • LLM Engineering with RAG: Optimizing AI Solutions: Coursera
  • Build Better Generative Adversarial Networks (GANs): DeepLearning.AI
  • Evaluations of AI Applications in Healthcare: Stanford University

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