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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
    U

    University of California, Irvine

    Interviewing for DS/AI Roles

    Skills you'll gain: Goal Setting, Interviewing Skills, Professional Networking, Artificial Intelligence and Machine Learning (AI/ML), Negotiation, Workforce Planning, Professional Development, LinkedIn, Artificial Intelligence, Machine Learning, Talent Sourcing, Compensation and Benefits, Data Science, Data Analysis, Recruitment, Data Architecture, Presentations, Technical Consulting, Big Data, Job Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20 reviews

    Beginner · Specialization · 1 - 3 Months

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

    Google

    Functions and Conditional Statements

    Skills you'll gain: Software Design, Computational Logic

    4.9
    Rating, 4.9 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    25 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing with Real-World Projects

    Skills you'll gain: Matplotlib, NumPy, Embeddings, Data Visualization, Natural Language Processing, Semantic Web, Data Manipulation, Linear Algebra, Seaborn, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Text Mining, Data Science, Data Processing, Applied Machine Learning, Unstructured Data, Markov Model, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Structurer des projets d’apprentissage automatique

    Skills you'll gain: Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, Model Evaluation, Data Science, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Continuous Deployment, Machine Learning, Continuous Integration, Automation, Data Pipelines

    4
    Rating, 4 out of 5 stars
    ·
    479 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    C

    CertNexus

    Turn Ethical Frameworks into Actionable Steps

    Skills you'll gain: Data Ethics, Business Ethics, Strategic Thinking, Ethical Standards And Conduct, Regulatory Compliance, Analytical Skills, Responsible AI, Technology Strategies, Compliance Management, Decision Making, Business Analysis, Business Strategy, Artificial Intelligence, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    154 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees, SVM and Unsupervised Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Statistics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Interviewing for DS/AI Roles: University of California, Irvine
  • Functions and Conditional Statements: Google
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Foundations of Machine Learning: Coursera
  • Natural Language Processing with Real-World Projects: Packt
  • Structurer des projets d’apprentissage automatique: DeepLearning.AI
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • LLM Engineering with RAG: Optimizing AI Solutions: Coursera
  • Turn Ethical Frameworks into Actionable Steps: CertNexus
  • Deep Learning with Real-World Projects: Packt

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