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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


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    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    488 reviews

    Advanced · Course · 1 - 3 Months

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    Coursera

    Analyze Agent Performance: Build and Test

    Skills you'll gain: Statistical Hypothesis Testing, AI Workflows, LangChain, Generative AI Agents, CrewAI, Statistical Methods, Statistical Analysis, Data Transformation, Agentic systems, Statistical Inference, Business Intelligence, Performance Testing, Key Performance Indicators (KPIs), Data-Driven Decision-Making, Performance Metric, Descriptive Analytics, Business Metrics, Data Analysis, Correlation Analysis, Event Monitoring

    Intermediate · Course · 1 - 4 Weeks

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    University of California, Davis

    Creating Dashboards and Storytelling with Tableau

    Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Data Visualization, Stakeholder Analysis, Tableau Software, Data Visualization Software, Requirements Analysis, Stakeholder Management, Data Cleansing, Storyboarding, Data Manipulation, Data Quality, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Build & Adapt LLM Models with Confidence

    Skills you'll gain: Model Deployment, LLM Application, Large Language Modeling, System Monitoring, Scalability, Hugging Face, Cloud Deployment, Performance Tuning, MLOps (Machine Learning Operations), Prompt Engineering, Transfer Learning, AI Security, Applied Machine Learning, Application Security, Artificial Intelligence, API Design, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Managing Machine Learning Projects with Google Cloud

    Skills you'll gain: Data Ethics, Google Cloud Platform, Applied Machine Learning, Image Analysis, Responsible AI, Machine Learning, Model Evaluation, Data Strategy, Data Governance, AI Enablement, Innovation, Feasibility Studies, Business Analysis, Model Deployment

    4.6
    Rating, 4.6 out of 5 stars
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    3.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    Google

    Hello, Python!

    Skills you'll gain: Package and Software Management, Data Science, Computer Programming, Mathematical Software

    4.8
    Rating, 4.8 out of 5 stars
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    53 reviews

    Beginner · Course · 1 - 4 Weeks

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    Microsoft

    Deploy and Maintain Power BI Assets and Capstone project

    Skills you'll gain: Power BI, Dashboard, SQL, Microsoft SQL Servers, Data Security, Data Analysis, Data Visualization Software, Data Modeling, Data Management, Role-Based Access Control (RBAC)

    4.4
    Rating, 4.4 out of 5 stars
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    290 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    Reproducible Research

    Skills you'll gain: Rmarkdown, Knitr, Data Sharing, Statistical Reporting, Data Analysis, Statistical Analysis, Data Validation, Exploratory Data Analysis, R Programming, Technical Communication, Version Control

    4.6
    Rating, 4.6 out of 5 stars
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    4.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization

    4.7
    Rating, 4.7 out of 5 stars
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    417 reviews

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Detect AI Anomalies: Real-Time Outliers

    Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Model Deployment, Predictive Modeling, Financial Forecasting, Finance

    4
    Rating, 4 out of 5 stars
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    891 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    102 reviews

    Advanced · Professional Certificate · 3 - 6 Months

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

  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Analyze Agent Performance: Build and Test: Coursera
  • Creating Dashboards and Storytelling with Tableau: University of California, Davis
  • Build & Adapt LLM Models with Confidence: Coursera
  • Managing Machine Learning Projects with Google Cloud: Google Cloud
  • Hello, Python!: Google
  • Deploy and Maintain Power BI Assets and Capstone project: Microsoft
  • Reproducible Research: Johns Hopkins University
  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • Detect AI Anomalies: Real-Time Outliers: Coursera

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