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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


  • Status: New
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    Simplilearn

    Introduction Course to Autoencoders, VAEs, and GANs

    Skills you'll gain: Generative AI, Generative Model Architectures, Deep Learning, Tensorflow, Applied Machine Learning, Artificial Neural Networks, Unsupervised Learning, Image Quality

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Colorado Boulder

    Our Place in the Cosmos

    Skills you'll gain: Environmental Monitoring, Geospatial Information and Technology, Physical Science, Geographic Information Systems, Physics, Environmental Science, Spatial Analysis, Environment, General Science and Research, Remote Access Systems, Life Sciences, Laboratory Research, Science and Research, Biology, Scientific Methods, Research, Timelines, Systems Of Measurement

    4.2
    Rating, 4.2 out of 5 stars
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    29 reviews

    Beginner · Course · 1 - 3 Months

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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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    University of Michigan

    Python Fundamentals for Designers

    Skills you'll gain: Interactive Data Visualization, Interactive Design, Programming Principles, Visualization (Computer Graphics), Python Programming, Graphic and Visual Design, Computer Graphics, Computational Logic, Computer Programming, Data Import/Export, Computational Thinking, Data Structures, Animations

    5
    Rating, 5 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 3 Months

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    University of Colorado Boulder

    Universal Theories

    Skills you'll gain: Physics, Materials science, Semiconductors, Physical Science, Mathematical Modeling, Advanced Mathematics, Calculus, Applied Mathematics

    4.7
    Rating, 4.7 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Science, Data Processing, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Spark and Python for Big Data with PySpark

    Skills you'll gain: PySpark, Apache Spark, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Customer Analysis, Apache Hadoop, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Data Processing, Advanced Analytics, Big Data, Apache Maven, Statistical Machine Learning, Unsupervised Learning, SQL, Apache, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    39 reviews

    Beginner · Specialization · 1 - 3 Months

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    Coursera

    Data Visualization using Plotnine and ggplot

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Data Visualization, Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Duke University

    Climate Science for Everyone

    Skills you'll gain: Climate Change Mitigation, Climate Change Adaptation, Environmental Issue, Sustainable Development, Physical Science, Energy and Utilities, Environmental Science, Environmental Policy, Mental Health, Trend Analysis

    4.9
    Rating, 4.9 out of 5 stars
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    20 reviews

    Beginner · Course · 1 - 4 Weeks

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    Kotter

    The 4 Core Change Principles

    Skills you'll gain: Organizational Change, Change Management, Business Transformation, Leadership and Management, Organizational Structure, Organizational Leadership, People Management, Industrial and Organizational Psychology, Leadership Development, Leadership, Drive Engagement, Stakeholder Engagement, Diversity and Inclusion, Lifelong Learning

    4.7
    Rating, 4.7 out of 5 stars
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    18 reviews

    Beginner · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Structurer des projets d’apprentissage automatique

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, MLOps (Machine Learning Operations), Data Science, Artificial Neural Networks, Test Case, Analysis, Algorithms, Performance Testing, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

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    T

    Tecnológico de Monterrey

    Analíticas de Datos con Pandas

    Skills you'll gain: Pandas (Python Package), Exploratory Data Analysis, Data Visualization Software, Data Manipulation, Data Analysis, Python Programming, Data Transformation, Data Structures, Data Import/Export, Software Installation

    4.5
    Rating, 4.5 out of 5 stars
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    28 reviews

    Beginner · Course · 1 - 4 Weeks

Searches related to applied statistics

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

  • Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
  • Our Place in the Cosmos: University of Colorado Boulder
  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • Python Fundamentals for Designers: University of Michigan
  • Universal Theories: University of Colorado Boulder
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Spark and Python for Big Data with PySpark: EDUCBA
  • Data Visualization using Plotnine and ggplot: Coursera
  • Climate Science for Everyone: Duke University
  • The 4 Core Change Principles: Kotter

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