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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


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    Coursera

    GenAI for Business Intelligence Analysts

    Skills you'll gain: Business Intelligence, Generative AI, Business Analytics, Responsible AI, Business Process Automation, Data-Driven Decision-Making, Data Ethics, Data Storytelling, Data Literacy, Exploratory Data Analysis, Machine Learning, Project Implementation

    4.6
    Rating, 4.6 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Imperial College London

    Systematic Creative Thinking: Tools for Success

    Skills you'll gain: Brainstorming, Creative Problem-Solving, Ideation, Creative Thinking, Problem Solving, Creativity, Design Thinking, Systems Thinking, Innovation, Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    62 reviews

    Intermediate · Course · 1 - 3 Months

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    New
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    Duke University

    Data Modeling and Prediction with R

    Skills you'll gain: Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Model Evaluation, Predictive Modeling, Regression Analysis, R Programming, Statistics, Data Analysis, Probability & Statistics, Statistical Inference

    Beginner · Course · 1 - 4 Weeks

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    H2O.ai

    H2O Label Genie Starter Track

    Skills you'll gain: Data Preprocessing, Large Language Modeling, Data Import/Export, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Quality, Data Analysis, Natural Language Processing, Classification Algorithms

    5
    Rating, 5 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Michigan

    Arranging and Visualizing Data in R

    Skills you'll gain: Exploratory Data Analysis, Rmarkdown, R (Software), Tidyverse (R Package), Statistical Visualization, Data Visualization, Data Visualization Software, R Programming, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Scripting, Package and Software Management, Data Import/Export

    5
    Rating, 5 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    GenAI and Model Selection

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, Large Language Modeling, Strategic Decision-Making, Systems Integration, Scalability, Innovation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Case Western Reserve University

    Using R for Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Spatial Data Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    PwC India

    GST - Using input tax credit

    Skills you'll gain: Reconciliation, Tax Compliance, Compliance Management, Compliance Reporting, Tax Management, Sales Tax, Fraud detection, Tax, Document Management, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
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    12 reviews

    Beginner · Course · 1 - 4 Weeks

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    Board Infinity

    DeepSeek Essentials: From Foundations to Real-World Use

    Skills you'll gain: Deepseek, Hugging Face, Large Language Modeling, LLM Application, AI Personalization, ChatGPT, Deep Learning, Open Source Technology, AI Enablement, Model Deployment, Business Modeling, Applied Machine Learning, Analytical Skills, Application Programming Interface (API), Business Process Automation

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Coursera

    Style Images with CSS

    Skills you'll gain: Cascading Style Sheets (CSS), Responsive Web Design, Browser Compatibility, Hypertext Markup Language (HTML), Web Development Tools, Web Design, Web Development

    4.7
    Rating, 4.7 out of 5 stars
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    62 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation

    Intermediate · Course · 1 - 3 Months

Searches related to applied statistics

applied statistics for data analytics
statistics and applied data analysis
1…161162163…226

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

  • GenAI for Business Intelligence Analysts: Coursera
  • Systematic Creative Thinking: Tools for Success: Imperial College London
  • Data Modeling and Prediction with R: Duke University
  • H2O Label Genie Starter Track: H2O.ai
  • Arranging and Visualizing Data in R : University of Michigan
  • GenAI and Model Selection: Coursera
  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • GST - Using input tax credit: PwC India
  • DeepSeek Essentials: From Foundations to Real-World Use: Board Infinity
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera

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