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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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    Corporate Finance Institute

    Advanced Tableau

    Skills you'll gain: Star Schema, Data Modeling, Tableau Software, Interactive Data Visualization, Business Intelligence, Extract, Transform, Load, Dashboard, Performance Tuning, Technical Analysis, Database Design, Data Visualization Software, Data Warehousing, Market Data, Data Transformation, Data Presentation, Investment Banking, Exploratory Data Analysis, Tree Maps, Data Storytelling, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Generative AI for Business Consultants

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Data Ethics, Management Consulting, Artificial Intelligence, Business Consulting, Consulting, ChatGPT, Technical Consulting, AI Enablement, Microsoft Copilot, Quality Assurance, Market Research, Large Language Modeling, Automation, Technical Communication, Ethical Standards And Conduct, Critical Thinking, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
    ·
    195 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI and Disaster Management

    Skills you'll gain: Disaster Recovery, Image Analysis, Data Ethics, Emergency Response, Mitigation, Text Mining, Natural Language Processing, Unstructured Data, Artificial Intelligence, Computer Vision, Spatial Data Analysis, Convolutional Neural Networks, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    318 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
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    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
    S

    SAS

    Advanced SAS Programming Techniques

    Skills you'll gain: SAS (Software), Perl (Programming Language), Data Processing, Statistical Programming, Stored Procedure, Data Manipulation, Data Transformation, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    95 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Practicing for the SAS Programming Certification Exam

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    95 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build Image Quality Inspection using AWS Lookout for Vision

    Skills you'll gain: Model Evaluation, Image Analysis, Amazon Web Services, Image Quality, Computer Vision, Model Deployment, Data Import/Export, Anomaly Detection, Data Science, Machine Learning, Cloud Computing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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: 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

  • C

    Coursera

    Covid-19 Death Medical Analysis & Visualization using Plotly

    Skills you'll gain: Plotly, Data Visualization, Datamaps, Data Visualization Software, Scatter Plots, Jupyter, Python Programming, Exploratory Data Analysis, Pandas (Python Package), Data Analysis, Medical Science and Research

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • 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

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

  • Advanced Tableau: Corporate Finance Institute
  • Generative AI for Business Consultants: Fractal Analytics
  • AI and Disaster Management: DeepLearning.AI
  • LLM Engineering with RAG: Optimizing AI Solutions: Coursera
  • Advanced SAS Programming Techniques: SAS
  • Practicing for the SAS Programming Certification Exam: SAS
  • Build Image Quality Inspection using AWS Lookout for Vision: Coursera
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Practical Geospatial Geostatistical Modeling: Case Western Reserve University

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