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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


  • C

    Coursera

    Forecast bikeshare demand using time series models in R

    Skills you'll gain: R Programming, R (Software), Data Visualization, Time Series Analysis and Forecasting, Interactive Data Visualization, Tidyverse (R Package), Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Forecasting, Business Strategy, Demand Planning, Data Preprocessing, Model Evaluation, Machine Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • T

    The Hong Kong University of Science and Technology

    Social Science Approaches to the Study of Chinese Society Part 2

    Skills you'll gain: Research Design, Research Methodologies, Social Sciences, Research, Surveys, Qualitative Research, Statistical Analysis, Data Collection, Higher Education, Sample Size Determination, Ethical Standards And Conduct, Academic Advising, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 3 Months

  • C

    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Random Forest Algorithm, Recurrent Neural Networks (RNNs), Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Computer Vision, Classification Algorithms, Natural Language Processing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    Illinois Tech

    Introduction to Time Series

    Skills you'll gain: Time Series Analysis and Forecasting, R Programming, Statistical Analysis, Statistical Software, Forecasting, Statistical Modeling, Data Analysis, Statistical Methods, Statistical Visualization, Data Presentation, Probability & Statistics, Model Evaluation, Statistical Hypothesis Testing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • F

    Fundação Instituto de Administração

    Models & Frameworks to Support Sales Planning

    Skills you'll gain: Sales Management, Sales Strategy, Customer Engagement, Sales Process, Sales, Sales Enablement, Sales Training, Customer Relationship Building, Business, Negotiation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    80 reviews

    Intermediate · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Advanced AI Techniques for the Supply Chain

    Skills you'll gain: Image Analysis, Supervised Learning, Applied Machine Learning, Model Evaluation, Anomaly Detection, Convolutional Neural Networks, Machine Learning, Supply Chain, Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Natural Language Processing, Artificial Neural Networks, Customer Demand Planning, Forecasting, Unsupervised Learning

    3.2
    Rating, 3.2 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Dubai College of Tourism

    Introduction to Restaurant Revenue Management

    Skills you'll gain: Revenue Management, Restaurant Operation, Restaurant Management, Forecasting, Key Performance Indicators (KPIs), Hospitality Management, Customer Demand Planning, Revenue Forecasting, Trend Analysis, Performance Analysis, Team Management, Data Analysis, Performance Measurement, Business Metrics, Data-Driven Decision-Making

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    ESSEC Business School

    Capstone: Create Value from Open Data

    Skills you'll gain: Peer Review, Analytical Skills, Complex Problem Solving, Data Analysis, Data Storytelling, Value Propositions, Data Integration, Exploratory Data Analysis, Data-Driven Decision-Making, Data Visualization, Presentations

    4.2
    Rating, 4.2 out of 5 stars
    ·
    55 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    28 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Create a services customer satisfaction process

    Skills you'll gain: Customer Service, Customer experience strategy (CX), Customer Analysis, Process Mapping, Customer Insights, Process Design, Customer Support, Cross-Channel Marketing, Marketing Operations, Business Process, Web Analytics, Marketing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    42 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • J

    Johns Hopkins University

    Wrangling Data in the Tidyverse

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Preprocessing, Statistical Programming, Text Mining

    4.5
    Rating, 4.5 out of 5 stars
    ·
    33 reviews

    Mixed · Course · 1 - 3 Months

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

  • Forecast bikeshare demand using time series models in R: Coursera
  • Social Science Approaches to the Study of Chinese Society Part 2: The Hong Kong University of Science and Technology
  • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
  • Introduction to Time Series: Illinois Tech
  • Models & Frameworks to Support Sales Planning : Fundação Instituto de Administração
  • Advanced AI Techniques for the Supply Chain: LearnQuest
  • Introduction to Restaurant Revenue Management : Dubai College of Tourism
  • Capstone: Create Value from Open Data: ESSEC Business School
  • Build and deploy a stroke prediction model using R: Coursera
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM

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