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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


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    Coursera

    Open Generative AI: Build with Open Models and Tools

    Skills you'll gain: Generative Model Architectures, Large Language Modeling, Generative AI, Model Evaluation, Model Deployment, Data Ethics, Data Validation, Data Cleansing, Data Quality, Image Quality, Data Preprocessing, AI Workflows, Dashboard, Transfer Learning, Text Mining, Open Source Technology, Image Analysis, Hugging Face, Data Collection, Cloud Computing

    Intermediate · Professional Certificate · 3 - 6 Months

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    EDUCBA

    Analyze & Build Dashboards Using Excel Pivot Tables

    Skills you'll gain: Data Visualization, Business Intelligence, Business Analytics, Business Reporting

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Build Real-Time Dashboards with Spark

    Skills you'll gain: Apache Kafka, Real Time Data, Apache Spark, Dashboard, PySpark, Data Pipelines, Business Intelligence, Data Persistence, JSON, Continuous Monitoring, Business Metrics, Data Integrity, Scalability

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Build Robust Java ML Models with Entropy

    Skills you'll gain: Model Evaluation, Model Deployment, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning, Feature Engineering, Algorithms, Program Implementation, Business Development

    Advanced · Course · 1 - 4 Weeks

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    EDUCBA

    Build an Interactive Investment App with R Shiny

    Skills you'll gain: Shiny (R Package), Application Deployment, Server Side, Application Lifecycle Management, Authentications, User Interface (UI) Design, Interactive Design, Business Logic, Application Design, Application Development, Dashboard, Security Controls, Web Applications, R (Software)

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Implement Hand Gesture Recognition with OpenCV

    Skills you'll gain: Program Development, Debugging

    Beginner · Course · 1 - 4 Weeks

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    SkillUp

    Machine Learning for Healthcare Applications

    Skills you'll gain: Unsupervised Learning, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Supervised Learning, Clinical Informatics, Machine Learning, Health Informatics, Data Preprocessing, Clinical Data Management, Predictive Analytics, Patient Safety, Decision Tree Learning, Time Series Analysis and Forecasting, Logistic Regression, Forecasting, Classification Algorithms, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Debug Neural Networks: Analyze Training Dynamics

    Skills you'll gain: Applied Machine Learning, Analysis, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    3.8K reviews

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Optimize AI: Build Robust Ensemble Models

    Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

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    Logical Operations

    Power BI: Modeling, Filtering, and Advanced Analysis

    Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Data Modeling, Data Analysis, Microsoft Excel, Interactive Data Visualization, Advanced Analytics, Business Intelligence, Data Analysis Software, Statistical Analysis, Time Series Analysis and Forecasting, Microsoft PowerPoint, Microsoft 365, Microsoft Office, Query Languages

    Mixed · Course · 1 - 4 Weeks

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    EDUCBA

    Analyze Employee Performance Using Excel Pivot Tables

    Skills you'll gain: Pivot Tables And Charts, Excel Formulas, Microsoft Excel, Case Studies, Performance Analysis, Variance Analysis, Trend Analysis, Data Manipulation, Human Resources Information System (HRIS), Budgeting, Employee Performance Management, Performance Measurement, Business Analysis, Data Analysis

    Beginner · Course · 1 - 4 Weeks

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

  • Open Generative AI: Build with Open Models and Tools: Coursera
  • Analyze & Build Dashboards Using Excel Pivot Tables: EDUCBA
  • Build Real-Time Dashboards with Spark: Coursera
  • Build Robust Java ML Models with Entropy: Coursera
  • Build an Interactive Investment App with R Shiny: EDUCBA
  • Implement Hand Gesture Recognition with OpenCV: EDUCBA
  • Machine Learning for Healthcare Applications: SkillUp
  • Debug Neural Networks: Analyze Training Dynamics: Coursera
  • Introduction to Machine Learning: Duke University
  • Optimize AI: Build Robust Ensemble Models: Coursera

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