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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


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    Shanghai Jiao Tong University

    Learn Mandarin Chinese: Intermediate

    Skills you'll gain: Language Competency, Language Learning, Vocabulary, Oral Comprehension, Oral Expression, Culture, Grammar, Intercultural Competence, Business

    4.6
    Rating, 4.6 out of 5 stars
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    152 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Johns Hopkins University

    Genomic Data Science

    Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Data Quality, Data Structures, Data Analysis, Computer Science, Molecular Biology, R Programming, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    6.8K reviews

    Intermediate · Specialization · 3 - 6 Months

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    EDUCBA

    Analyze and Build Trading Systems Using Market Models

    Skills you'll gain: Financial Trading, Financial Market, Technical Analysis, Derivatives, Statistical Analysis, Market Dynamics, Risk Analysis, Market Analysis, Trend Analysis, Performance Analysis, Probability Distribution, Behavioral Economics, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Data Cleaning with Python for Finance

    Skills you'll gain: Data Cleansing, Pandas (Python Package), Financial Data, Data Wrangling, Data Transformation, Data Preprocessing, Data Quality, Data Manipulation, Data Validation, Jupyter, Data Integrity, Exploratory Data Analysis, Data Import/Export, Descriptive Statistics

    Intermediate · Course · 1 - 4 Weeks

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    University of Amsterdam

    Data Analytics for Lean Six Sigma

    Skills you'll gain: Lean Six Sigma, Statistical Hypothesis Testing, Minitab, Regression Analysis, Data Visualization Software, Probability Distribution, Data Analysis, Histogram, Statistical Analysis, Box Plots, Process Improvement, Logistic Regression, Statistics, Variance Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    3.5K reviews

    Beginner · Course · 1 - 3 Months

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    Coursera

    Investment Risk Management

    Skills you'll gain: Portfolio Risk, Investment Management, Risk Management, Financial Analysis, Risk Analysis, Portfolio Management, Financial Market, Investments, Return On Investment, Statistics

    4.4
    Rating, 4.4 out of 5 stars
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    2.1K reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    IBM

    Introduction to Software Engineering

    Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Design, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Web Applications, Software Development Tools, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Back-End Web Development, Software Documentation, Computer Programming, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    4.5K reviews

    Beginner · Course · 1 - 3 Months

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    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
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    190 reviews

    Advanced · Course · 1 - 3 Months

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    EDUCBA

    Apply Natural Language Processing Techniques in Python

    Skills you'll gain: Data Transformation, Unstructured Data, Feature Engineering, Predictive Analytics, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    Regression Models

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Analysis, Model Evaluation, Probability & Statistics, Statistical Inference

    4.4
    Rating, 4.4 out of 5 stars
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    3.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Responsible AI, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Preprocessing, Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Data Cleansing, Prompt Engineering, Cloud Deployment, Data Strategy, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
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    3.8K reviews

    Intermediate · Specialization · 3 - 6 Months

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    Starweaver

    Threat Hunting Techniques

    Skills you'll gain: Cyber Threat Hunting, Splunk, Threat Detection, Jupyter, Anomaly Detection, Cybersecurity, Data Analysis, Data Science, Applied Machine Learning, Security Information and Event Management (SIEM), Pandas (Python Package), Interactive Data Visualization, Data Cleansing, Data Preprocessing, MLOps (Machine Learning Operations), Unsupervised Learning, Automation

    Intermediate · Course · 1 - 3 Months

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

  • Learn Mandarin Chinese: Intermediate: Shanghai Jiao Tong University
  • Genomic Data Science: Johns Hopkins University
  • Analyze and Build Trading Systems Using Market Models: EDUCBA
  • Data Cleaning with Python for Finance: Coursera
  • Data Analytics for Lean Six Sigma: University of Amsterdam
  • Investment Risk Management: Coursera
  • Introduction to Software Engineering: IBM
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
  • Apply Natural Language Processing Techniques in Python: EDUCBA
  • Regression Models: Johns Hopkins University

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