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  • Applied Statistics

Applied Statistics Courses

Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.


Popular Applied Statistics Courses and Certifications


  • Status: Free Trial
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    J

    Johns Hopkins University

    A Crash Course in Data Science

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    M

    Microsoft

    AI-Enhanced Data Analysis: From Raw Data to Deep Insights

    Skills you'll gain: Generative AI, Matplotlib, Plotly, Prompt Engineering, Data Ethics, Power BI, Data Visualization, Microsoft Excel, Data Manipulation, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), Data Transformation, Excel Formulas, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Microsoft Copilot, Data Presentation, Data Processing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    508 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    C

    Coursera

    Healthcare SQL for Patient Outcomes

    Skills you'll gain: Relational Databases, Health Informatics, Performance Tuning, Data Access, Databases, Data Integrity, Health Information Management, Secure Coding, Clinical Data Management, Stored Procedure, SQL

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    C

    Coursera

    Apply SCD2 to Build Dynamic Data Models

    Skills you'll gain: Data Warehousing, Data Modeling, Trend Analysis, Business Intelligence, Scalability, Audit Planning, Data Integrity, Database Design, Data Management, Data Quality, Data Pipelines, SQL

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Markov Model, Machine Learning, Statistical Modeling, Probability Distribution, Statistical Methods, Algorithms, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    304 reviews

    Advanced · Course · 1 - 3 Months

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    C

    Coursera

    Track Marketing Goals with Google Analytics

    Skills you'll gain: Google Analytics, Web Analytics, Marketing Analytics, Google Ads, Marketing Effectiveness, Web Analytics and SEO, Smart Goals, Content Performance Analysis, Digital Marketing, Customer Insights, Analytics, Goal Setting, Trend Analysis, Performance Analysis, Data Analysis, Performance Metric, Data-Driven Decision-Making

    Beginner · Course · 3 - 6 Months

  • Status: New
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    C

    Coursera

    Python for Real-World Data Analysis

    Skills you'll gain: Seaborn, Data Storytelling, Data Integration, A/B Testing, Data Import/Export, Statistical Hypothesis Testing, Statistical Methods, Text Mining, Data-Driven Decision-Making, Git (Version Control System), Data Presentation, Matplotlib, Data Visualization, Pandas (Python Package), Version Control, GitHub, Statistical Analysis, Exploratory Data Analysis, Jupyter, NumPy

    4.3
    Rating, 4.3 out of 5 stars
    ·
    88 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    E

    EDUCBA

    Analyze and Visualize Data Using Tableau Desktop

    Skills you'll gain: Tableau Software, Data Presentation, Data Storytelling, Interactive Data Visualization, Dashboard, Data Visualization Software, Data Analysis, Analytics, Data-Driven Decision-Making, Trend Analysis, Data Integration, Data Management, Geospatial Mapping

    Beginner · Course · 1 - 3 Months

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    E

    EDUCBA

    Apply HTML5 Game Development Concepts with Canvas

    Skills you'll gain: Responsive Web Design, Video Game Development, HTML and CSS, Web Design, Animation and Game Design, Front-End Web Development, Web Development, Interactive Design, Computer Graphics, Javascript

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    C

    Coursera

    Capstone: Accounting Assistant with AI Skills

    Skills you'll gain: Accounting Software, Process Design, Workflow Management, Accounts Payable, Generally Accepted Accounting Principles (GAAP), General Accounting, Accounting Records, Standard Accounting Practices, Accounting Systems, Process Mapping, Month End Closing, Business Workflow Analysis, Business Planning, Ledgers (Accounting), Accounting, Bookkeeping, Financial Accounting, Financial Auditing, Financial Forecasting, Financial Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
    Free Trial
    C

    Coursera

    Automate ETL Pipelines

    Beginner · Course · 1 - 4 Weeks

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

  • A Crash Course in Data Science: Johns Hopkins University
  • AI-Enhanced Data Analysis: From Raw Data to Deep Insights: Microsoft
  • Healthcare SQL for Patient Outcomes: Coursera
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • Apply SCD2 to Build Dynamic Data Models: Coursera
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Track Marketing Goals with Google Analytics: Coursera
  • Python for Real-World Data Analysis: Coursera
  • Analyze and Visualize Data Using Tableau Desktop: EDUCBA
  • Apply HTML5 Game Development Concepts with Canvas: EDUCBA

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