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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 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineer, Big Data and ML on Google Cloud auf Deutsch

    Skills you'll gain: Google Cloud Platform, Dataflow, Data Pipelines, Model Deployment, Real Time Data, Data Preprocessing, Data Lakes, Data Processing, Dashboard, Tensorflow, Data Warehousing, Apache Spark, Big Data, Data Infrastructure, Applied Machine Learning, Cloud Storage, Data Storage, Extract, Transform, Load, Query Languages, Scripting Languages

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
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    P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Predicción de Ventas Pronosticando Tendencias

    Skills you'll gain: Model Evaluation, Forecasting, Trend Analysis, Statistical Visualization, Spreadsheet Software, Predictive Analytics, Regression Analysis, Time Series Analysis and Forecasting, Data Visualization, Statistical Analysis, Plot (Graphics), Data-Driven Decision-Making, Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    111 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    The DMAIC Framework: Analyze, Improve, and Control Phase

    Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Statistical Hypothesis Testing, Statistical Analysis, Continuous Improvement Process, Data Analysis, Process Improvement, Quality Improvement, Root Cause Analysis, Data-Driven Decision-Making, Regression Analysis, Process Optimization, Correlation Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Data Science Project: MATLAB for the Real World

    Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Science, Machine Learning, Data Analysis, Data Preprocessing, Matlab, Technical Communication, Predictive Modeling, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
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    The Chinese University of Hong Kong

    Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)

    Skills you'll gain: Model Evaluation, SPSS, Statistical Modeling, Statistical Methods, Statistical Analysis, Correlation Analysis, Regression Analysis, Data Analysis Software, Exploratory Data Analysis, Data Manipulation, Advanced Analytics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Mixed · Course · 3 - 6 Months

  • 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: Preview
    Preview
    S

    Simplilearn

    Data Analytics with Python

    Skills you'll gain: Matplotlib, NumPy, Data Visualization, Python Programming, Pandas (Python Package), Data Analysis, Data Visualization Software, Scripting, Analytics, Data Manipulation, Real Time Data, Data Processing, Programming Principles, Data Transformation, Data Cleansing, Data Validation

    4.9
    Rating, 4.9 out of 5 stars
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    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    The Hong Kong University of Science and Technology

    Social Science Approaches to the Study of Chinese Society Part 1

    Skills you'll gain: Social Sciences, Science and Research, Research Design, Surveys, Qualitative Research, Research, Research Methodologies, Sociology, Political Sciences, Experimentation, Anthropology, Economics

    4.7
    Rating, 4.7 out of 5 stars
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    51 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    PowerBI for Beginners: Sales Data Exploration

    Skills you'll gain: Power BI, Interactive Data Visualization, Data Visualization, Data Presentation, Dashboard, Trend Analysis, Exploratory Data Analysis, Customer Analysis, Data Visualization Software, Sales, Business Intelligence, Data Analysis, Business Analytics, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    38 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    F

    Fred Hutchinson Cancer Center

    Researcher's guide to omic fundamentals

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality

    3.9
    Rating, 3.9 out of 5 stars
    ·
    17 reviews

    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 2: Pearson
  • Data Engineer, Big Data and ML on Google Cloud auf Deutsch: Google Cloud
  • Machine Learning with PyTorch and Scikit-Learn: Packt
  • Predicción de Ventas Pronosticando Tendencias : Coursera
  • The DMAIC Framework: Analyze, Improve, and Control Phase: SkillUp
  • Data Science Project: MATLAB for the Real World: MathWorks
  • Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语): The Chinese University of Hong Kong
  • Where, Why, and How of Lambda Functions in Python : Coursera
  • Data Analytics with Python: Simplilearn
  • Social Science Approaches to the Study of Chinese Society Part 1: The Hong Kong University of Science and Technology

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