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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: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning - Anomaly Detection via PyCaret

    Skills you'll gain: Model Deployment, Anomaly Detection, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Preprocessing, Machine Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Science with R

    Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Web Scraping, Ggplot2, Model Evaluation, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Regression Analysis, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control

    4.8
    Rating, 4.8 out of 5 stars
    ·
    30 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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
    ·
    54 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Deep Learning with PyTorch : Object Localization

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Computer Vision, Transfer Learning, Applied Machine Learning, Model Evaluation, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    48 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    ArcGIS Desktop for Spatial Analysis: Go from Basic to Pro

    Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Data Presentation, Exploratory Data Analysis, Vector Databases, Data Mapping, Data Access

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    Muestreo de personas, redes y registros

    Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Statistical Methods, Quantitative Research, Probability & Statistics, Research Design, Statistical Software

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    ESG Essentials for Sustainable Business

    Skills you'll gain: Environmental Social And Corporate Governance (ESG), Sustainable Business, Sustainable Development, Corporate Sustainability, Environmental Issue, Sustainability Reporting, Stakeholder Management, Business Ethics, Stakeholder Analysis, Governance, Strategic Thinking, Business Communication, Trend Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    129 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Graduate Admission Prediction with Pyspark ML

    Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Apache Spark, Google Cloud Platform, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Python: de cero a analista de datos

    Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Extract, Transform, Load, Data Analysis, NumPy, Data Visualization Software, Package and Software Management, Time Series Analysis and Forecasting, Data Science, Python Programming, Jupyter, Graphing, Data Import/Export, Data Manipulation, Software Installation, Ubuntu, Scripting, Computational Thinking, Development Environment, Mac OS

    4.1
    Rating, 4.1 out of 5 stars
    ·
    79 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Python for Finance: Beta and Capital Asset Pricing Model

    Skills you'll gain: Portfolio Management, Plotly, Data Visualization, Portfolio Risk, Investment Management, Exploratory Data Analysis, Financial Modeling, Financial Analysis, Statistical Analysis, Financial Data, Risk Modeling, Market Data, Finance, Equities, Data Analysis, Pandas (Python Package), Python Programming, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    47 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    SAS

    Creating Features for Time Series Data

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Data Transformation, Exploratory Data Analysis, Data Preprocessing, Unsupervised Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

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

  • Data Science Fundamentals Part 1: Unit 1: Pearson
  • Machine Learning - Anomaly Detection via PyCaret: Coursera
  • Data Science with R: Duke University
  • Capstone: Create Value from Open Data: ESSEC Business School
  • Deep Learning with PyTorch : Object Localization: Coursera
  • ArcGIS Desktop for Spatial Analysis: Go from Basic to Pro: Packt
  • Muestreo de personas, redes y registros: University of Michigan
  • ESG Essentials for Sustainable Business: Duke University
  • Graduate Admission Prediction with Pyspark ML: Coursera
  • Python: de cero a analista de datos: Universidad Nacional Autónoma de México

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