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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

    Where, Why, and How of Lambda Functions in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming, Computational Logic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    34 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Geospatial Information Technology Essentials

    Skills you'll gain: Geospatial Information and Technology, Spatial Analysis, Geographic Information Systems, GIS Software, Database Management, ArcGIS, Global Positioning Systems, Decision Support Systems, Data Modeling, Open Source Technology, Web Applications, Mobile Development

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    Erasmus University Rotterdam

    Cross-border road transport in EU law context

    Skills you'll gain: Transportation Operations, Transportation Management, Law, Regulation, and Compliance, Case Law, Labor Compliance, Labor Law, Labor Relations, Commercial Laws, Regulation and Legal Compliance, Court Systems, Civil Law, Workers Compensation, Legal Research, Coordination, Benefits Administration

    4
    Rating, 4 out of 5 stars
    ·
    11 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Supervised Learning, Tensorflow, Applied Machine Learning, Image Analysis, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Convolutional Neural Networks, Machine Learning, Deep Learning, Unstructured Data, NumPy, Classification Algorithms, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Model Evaluation

    Build toward a degree

    3.3
    Rating, 3.3 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Predict Ad Clicks Using Logistic Regression and XG-Boost

    Skills you'll gain: Model Evaluation, Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Data Preprocessing, Customer Analysis, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Logistic Regression, Data Cleansing, Data Manipulation, Advertising, Digital Advertising, Performance Analysis, Machine Learning, Python Programming, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    TensorFlow Prediction: Identify Penguin Species

    Skills you'll gain: Model Evaluation, Data Preprocessing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Machine Learning, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Mastering Image Segmentation with PyTorch

    Skills you'll gain: Image Analysis, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Computer Vision, Artificial Neural Networks, Data Preprocessing, Data Processing, Regression Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Berklee

    Producing Music in the Home Studio

    Skills you'll gain: Musical Composition, Music, Media Production, Editing, Post-Production, Organizational Skills

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Linux Embedded System Topics and Projects

    Skills you'll gain: Agile Methodology, Scrum (Software Development), Software Testing, Agile Software Development, Embedded Systems, Docker (Software), Git (Version Control System), Linux Administration, System Programming, Linux, C++ (Programming Language), Internet Of Things, File Systems

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Getting Started with CyberGIS

    Skills you'll gain: Geospatial Information and Technology, Geographic Information Systems, Apache Hadoop, Spatial Data Analysis, Geospatial Mapping, Spatial Analysis, Big Data, Matplotlib, Data Processing, Computational Thinking, Distributed Computing, Data Manipulation, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Naive Bayes 101: Resume Selection with Machine Learning

    Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Preprocessing, Natural Language Processing, Machine Learning, Unstructured Data, Data Analysis, Data Manipulation, Python Programming, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 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

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

  • Where, Why, and How of Lambda Functions in Python : Coursera
  • Geospatial Information Technology Essentials: L&T EduTech
  • Cross-border road transport in EU law context: Erasmus University Rotterdam
  • Machine Learning: O.P. Jindal Global University
  • Predict Ad Clicks Using Logistic Regression and XG-Boost: Coursera
  • TensorFlow Prediction: Identify Penguin Species: Coursera
  • Mastering Image Segmentation with PyTorch: Packt
  • Producing Music in the Home Studio: Berklee
  • Linux Embedded System Topics and Projects: University of Colorado Boulder
  • Getting Started with CyberGIS: University of Illinois Urbana-Champaign

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