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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.


More to explore:

Popular Applied Statistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft R Programming for Everyone

    Skills you'll gain: Rmarkdown, Version Control, Web Scraping, Regression Analysis, Knitr, Exploratory Data Analysis, Statistical Analysis, Data Manipulation, Dimensionality Reduction, Ggplot2, Geospatial Information and Technology, Time Series Analysis and Forecasting, Plotly, Microsoft Azure, Data Cleansing, Data Visualization, Software Documentation, R Programming, Data Quality, Microsoft Copilot

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Perform basic data analysis tasks using Java streams

    Skills you'll gain: Data Import/Export, Data Analysis, Exploratory Data Analysis, Java, Data Processing, Data Manipulation, Java Programming, Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Introduction to Software Quality Assurance

    Skills you'll gain: Software Quality Assurance, Software Development Life Cycle, Quality Assurance, Software Documentation, Functional Testing, Software Testing, Software Development Methodologies, Acceptance Testing, User Acceptance Testing (UAT), Test Case, Maintainability, Unit Testing, Software Design, System Testing, Integration Testing, Waterfall Methodology, Agile Methodology, Regression Testing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Physics of Geometrical and Physical Optics

    Skills you'll gain: Physics, Applied Mathematics, Geometry, Engineering Analysis, Advanced Mathematics, Physical Science, Mathematical Modeling, Trigonometry, Calculus, Algebra, Mathematical Theory & Analysis, Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Genentech

    Making Data Science Work for Clinical Reporting

    Skills you'll gain: Clinical Data Management, Statistical Reporting, Data Sharing, Version Control, Clinical Trials, GitHub, Data Quality, Medical Privacy, Quality Assurance, Risk Management, Maintainability, DevOps, R Programming, Package and Software Management, Agile Software Development, Agile Methodology

    4.1
    Rating, 4.1 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Analyze Box Office Data with Seaborn and Python

    Skills you'll gain: Exploratory Data Analysis, Seaborn, Plotly, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming, Predictive Modeling, Data Science, Jupyter, Cloud Applications

    4.5
    Rating, 4.5 out of 5 stars
    ·
    182 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

    Skills you'll gain: Feature Engineering, Model Evaluation, Tensorflow, Model Deployment, Google Cloud Platform, Data Quality, Data Preprocessing, Keras (Neural Network Library), Machine Learning, Embeddings, Exploratory Data Analysis, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, MLOps (Machine Learning Operations), Responsible AI, Data Pipelines, Artificial Neural Networks

    4.4
    Rating, 4.4 out of 5 stars
    ·
    152 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Demand Forecasting Using Time Series

    Skills you'll gain: Time Series Analysis and Forecasting, Trend Analysis, Data Visualization, Customer Demand Planning, Regression Analysis, Matplotlib, Forecasting, Predictive Modeling, Correlation Analysis, Supply Chain Management, Data Analysis, Pandas (Python Package), Statistical Modeling, Machine Learning, Python Programming

    3.3
    Rating, 3.3 out of 5 stars
    ·
    39 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Pivot Tables in Google Sheets

    Skills you'll gain: Google Sheets, Pivot Tables And Charts, Spreadsheet Software, Data Analysis, Collaborative Software, Descriptive Statistics, Data Presentation, Data Manipulation, Data Management, Cloud Computing

    2.4
    Rating, 2.4 out of 5 stars
    ·
    7 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    PowerBI for Beginners: Sales Data Exploration

    Skills you'll gain: Power BI, Interactive Data Visualization, Data Visualization, Data Presentation, Dashboard, Trend Analysis, Exploratory Data Analysis, Customer Analysis, Data Visualization Software, Sales, Business Intelligence, Data Analysis, Business Analytics, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    40 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Robotics Engineering & Applications

    Skills you'll gain: Robotics, Internet Of Things, Control Systems, Automation, Programmable Logic Controllers, Image Analysis, Industrial Engineering, Computer Vision, Equipment Design, Embedded Software, Mechanical Design

    4.4
    Rating, 4.4 out of 5 stars
    ·
    30 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Mastering NLP: Tokenization, Sentiment Analysis & Neural MT

    Skills you'll gain: Natural Language Processing, Large Language Modeling, Model Evaluation, Recurrent Neural Networks (RNNs), Classification Algorithms, Data Ethics, Responsible AI, Text Mining, Transfer Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Neural Networks, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Processing, Embeddings, Machine Learning, Data Analysis, Data Cleansing

    3.3
    Rating, 3.3 out of 5 stars
    ·
    7 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Microsoft R Programming for Everyone: Microsoft
  • Perform basic data analysis tasks using Java streams: Coursera
  • Introduction to Software Quality Assurance: Board Infinity
  • Physics of Geometrical and Physical Optics: Rice University
  • Making Data Science Work for Clinical Reporting: Genentech
  • Analyze Box Office Data with Seaborn and Python: Coursera
  • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
  • Demand Forecasting Using Time Series: LearnQuest
  • Pivot Tables in Google Sheets: Google Cloud
  • PowerBI for Beginners: Sales Data Exploration: Coursera

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