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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
    L

    L&T EduTech

    Robotics Engineering & Applications

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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    30 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Analysis in Python: Using Pandas DataFrames

    Skills you'll gain: Pandas (Python Package), Scatter Plots, Histogram, Data Visualization, Data Manipulation, Data Import/Export, JSON, Data Cleansing, Matplotlib, Data Visualization Software, Exploratory Data Analysis, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    29 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Machine Learning and Human Learning

    Skills you'll gain: Education Software and Technology, Supervised Learning, Machine Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Digital pedagogy, Artificial Intelligence, AI Enablement, Data Mining, Learning Theory, Human Computer Interaction, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Scatter Plots, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Ein Crashkurs in Datenwissenschaft

    Skills you'll gain: Data Science, Data Management, Organizational Effectiveness, Data Analysis, Data-Driven Decision-Making, Project Design, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Scrape and analyze data analyst job requirements with Python

    Skills you'll gain: Web Scraping, Data Visualization, Data Preprocessing, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Extensible Markup Language (XML), Python Programming, Jupyter, GitHub

    3.3
    Rating, 3.3 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    O

    O.P. Jindal Global University

    Unsupervised Learning and Its Applications in Marketing

    Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Feature Engineering, Autoencoders, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Model Evaluation, Algorithms

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Design Strategies for Maximizing Total Data Quality

    Skills you'll gain: Data Quality, Data Integrity, Data Validation, Data Governance, Quality Assurance, Data Collection, Data Strategy, Data Preprocessing, Data Analysis, Verification And Validation, Design Strategies, Sampling (Statistics)

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    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
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Visualization and Transformation with R

    Skills you'll gain: Exploratory Data Analysis, Ggplot2, Data Visualization Software, Tidyverse (R Package), Data Visualization, Version Control, Data Analysis, Statistical Methods, Data Wrangling, R Programming, GitHub, Data Transformation, Statistical Analysis, Git (Version Control System), Data Manipulation, Statistical Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    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
    ·
    62 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Robotics Engineering & Applications: L&T EduTech
  • Data Analysis in Python: Using Pandas DataFrames: Coursera
  • Machine Learning and Human Learning: University of Illinois Urbana-Champaign
  • Machine Learning with PySpark: Recommender System: Coursera
  • Ein Crashkurs in Datenwissenschaft: Johns Hopkins University
  • Scrape and analyze data analyst job requirements with Python: Coursera
  • Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • AI & Deep Learning Concepts and Applications: Simplilearn
  • Design Strategies for Maximizing Total Data Quality: University of Michigan
  • Arranging and Visualizing Data in R : University of Michigan

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