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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: Preview
    Preview
    C

    Coursera

    LLM Engineering with RAG: Optimizing AI Solutions

    Skills you'll gain: Prompt Engineering, LLM Application, LangChain, Large Language Modeling, OpenAI, Scalability, Generative AI, Application Deployment, Data Integration, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Data Science, Machine Learning, API Design

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Recommender Systems with Machine Learning

    Skills you'll gain: Data Manipulation, Applied Machine Learning, Supervised Learning, Machine Learning, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Machine Learning Algorithms, Unsupervised Learning, Taxonomy, Data Mining, Data Analysis, Deep Learning, Matplotlib

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Machine Learning - Anomaly Detection via PyCaret

    Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Presentation, Machine Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • E

    EIT Digital

    Advanced Recommender Systems

    Skills you'll gain: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Dimensionality Reduction, Machine Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling, Algorithms, Data Analysis

    3.8
    Rating, 3.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Sentiment Analysis with Deep Learning using BERT

    Skills you'll gain: Text Mining, Data Cleansing, PyTorch (Machine Learning Library), Data Manipulation, Data Processing, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    398 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    38 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Deep Learning, Unsupervised Learning, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Supervised Learning, Image Analysis, Machine Learning, Text Mining, Computer Vision, Data Processing, Artificial Intelligence, Scatter Plots, Data Visualization Software, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    35 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Statistical Methods, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Regression Analysis, Statistical Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Data Science, Statistical Inference, Predictive Modeling, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Better Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Responsible AI, Data Ethics, Deep Learning, Machine Learning, Image Quality, Image Analysis, Artificial Neural Networks, Performance Testing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    683 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Keras (Neural Network Library), Image Analysis, Data Processing, Data Manipulation, Visualization (Computer Graphics), Tensorflow, Applied Machine Learning, Computer Vision, Deep Learning, Python Programming, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    Ciência de Dados para Finanças

    Skills you'll gain: Big Data, Data Mining, Data-Driven Decision-Making, FinTech, Ggplot2, Data Visualization Software, Plot (Graphics), Deep Learning, Data Modeling, R Programming, Market Data, Predictive Analytics, Data Science, Data Analysis, Business Analytics, Data Processing, Analytics, Data Manipulation, Machine Learning, Financial Market

    4.3
    Rating, 4.3 out of 5 stars
    ·
    88 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Cluster Analysis, Association Mining, and Model Evaluation

    Skills you'll gain: Unsupervised Learning, Data Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Modeling, Predictive Analytics, Anomaly Detection, Classification And Regression Tree (CART), Fraud detection, Machine Learning, Correlation Analysis, Scatter Plots, Market Analysis, Supervised Learning, Cross Selling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    47 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to applied data science

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

  • LLM Engineering with RAG: Optimizing AI Solutions: Coursera
  • Recommender Systems with Machine Learning: Packt
  • Machine Learning - Anomaly Detection via PyCaret: Coursera
  • Advanced Recommender Systems: EIT Digital
  • Sentiment Analysis with Deep Learning using BERT: Coursera
  • AI and Machine Learning Essentials with Python: University of Pennsylvania
  • Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs
  • Machine Learning Essentials: University of Pennsylvania
  • Build Better Generative Adversarial Networks (GANs): DeepLearning.AI
  • Build a Machine Learning Image Classifier with Python: Coursera

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