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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
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    Coursera

    Next-Generation AI Assistant: Claude by Anthropic

    Skills you'll gain: Prompt Engineering, Anthropic Claude, Marketing Materials, Copywriting, ChatGPT, AI Product Strategy, Drive Engagement, Promotional Strategies, Target Audience

    4.1
    Rating, 4.1 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    Simplilearn

    LLM Fine-Tuning and Customization Training

    Skills you'll gain: LangChain, Responsible AI, Large Language Modeling, Model Deployment, OpenAI, Data Preprocessing, Hugging Face, Model Evaluation, Transfer Learning, Supervised Learning, Reinforcement Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, AI Workflows, Applied Machine Learning, Continuous Deployment, Automation, Data Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    M

    Microsoft

    Develop an ASP.NET Core web app that consumes an API

    Skills you'll gain: ASP.NET, C# (Programming Language), Application Programming Interface (API), Microsoft Development Tools, Restful API, Microsoft Azure, Web Applications, Integrated Development Environments, Application Development, Development Environment, Virtual Environment, Middleware

    2.6
    Rating, 2.6 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Make.com for Beginners: LinkedIn Post Automation With GPT-4

    Skills you'll gain: Make.com, LinkedIn, Marketing Automation, Marketing, Social Media Content, Social Media Marketing, Application Programming Interface (API), Generative AI, Content Creation, Automation, Artificial Intelligence, Content Marketing, Workflow Management

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
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    D

    DeepLearning.AI

    Последовательные модели

    Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks, Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Classification Algorithms, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Data Validation, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Financial Analysis with ARIMA and Time Series Forecasting

    Skills you'll gain: Time Series Analysis and Forecasting, Financial Forecasting, Statistical Analysis, Machine Learning, Trend Analysis, Financial Data, Financial Modeling, Jupyter, Predictive Modeling, GitHub, Statistical Modeling, NumPy

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    Coursera

    GenAI for Fraud Analysts: Improving Detection Efficiency

    Skills you'll gain: Anomaly Detection, Fraud detection, Data Visualization, Generative AI, Risk Management, ChatGPT, Data Synthesis, Compliance Management, Unsupervised Learning, AI Workflows, Data Pipelines, Automation, Predictive Analytics, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    GNU Octave: Apply, Implement & Design Functions

    Skills you'll gain: Mathematical Software, Software Installation, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Trigonometry, Programming Principles, Data Manipulation, Engineering Calculations, Linear Algebra, Scripting Languages, Data Structures

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    Status: Preview
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    N

    Northeastern University

    Program Structure and Algorithms Part 1

    Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Programming Principles, Pseudocode, Theoretical Computer Science, Data Structures, Computer Programming, Performance Tuning, Scalability, Design Strategies

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Java in Machine Learning

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Jenkins, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Model Evaluation, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning

    Intermediate · Specialization · 1 - 3 Months

1…240241242…834

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

  • Next-Generation AI Assistant: Claude by Anthropic: Coursera
  • LLM Fine-Tuning and Customization Training: Simplilearn
  • Machine Learning Operations (MLOps): Getting Started - 日本語版: Google Cloud
  • Develop an ASP.NET Core web app that consumes an API: Microsoft
  • Make.com for Beginners: LinkedIn Post Automation With GPT-4: Coursera
  • Последовательные модели: DeepLearning.AI
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Financial Analysis with ARIMA and Time Series Forecasting: Packt
  • GenAI for Fraud Analysts: Improving Detection Efficiency: Coursera
  • GNU Octave: Apply, Implement & Design Functions: EDUCBA

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