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  • Descriptive Statistics

Descriptive Statistics Courses

Descriptive statistics courses can help you learn how to summarize data sets, calculate measures of central tendency, and assess variability. You can build skills in interpreting frequency distributions, creating visual data representations, and performing hypothesis testing. Many courses introduce tools like Excel, R, or Python for data analysis, allowing you to apply these skills in practical scenarios, such as analyzing survey results or evaluating experimental data.


Popular Descriptive Statistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Visualization and Modeling in Python

    Skills you'll gain: Matplotlib, Data Visualization, Predictive Modeling, Scientific Visualization, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Data Manipulation, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistics, Probability & Statistics, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Opioid Epidemic: From Evidence to Impact

    Skills you'll gain: Substance Abuse, Pain Management, Medical Prescription, Patient Education And Counseling, Pharmacology, Pharmacy, Pharmaceuticals, Chronic Diseases, Epidemiology, Medication Therapy Management, Mental and Behavioral Health, Health Policy, Engineering Design Process, Community Health, Public Health, Trend Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    51 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure for AI and Machine Learning

    Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Data Pipelines, Cloud Computing, Software Versioning, CI/CD, Continuous Monitoring, Debugging, Data Storage, Scalability, Data Quality

    4.7
    Rating, 4.7 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Genentech

    Data Science with Real World Data in Pharma

    Skills you'll gain: Drug Development, Clinical Research, Clinical Trials, Statistical Analysis, Predictive Modeling, R Programming, Data Analysis, Statistical Methods, Health Policy, Data Science, Epidemiology, Healthcare Industry Knowledge, Data Quality, Electronic Medical Record

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • 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, 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 Colorado Boulder

    Unsupervised Algorithms in Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Data Science, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Data Mining, Python Programming, Linear Algebra, NumPy, Algorithms, Exploratory Data Analysis

    Build toward a degree

    3.8
    Rating, 3.8 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Q

    Queen Mary University of London

    Analysis and Interpretation of Data

    Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Correlation Analysis, Quantitative Research, Regression Analysis, Marketing Analytics, Data Quality, Statistical Methods, Data Cleansing, Digital Marketing, Exploratory Data Analysis, Market Research, Return On Investment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Fake News Detection with Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Deep Learning, Plot (Graphics), Artificial Neural Networks, Matplotlib, Data Cleansing, Data Analysis, Tensorflow, Natural Language Processing, Data Processing, Data Manipulation, Python Programming, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    263 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Clean and analyze social media usage data with Python

    Skills you'll gain: Data Visualization, Matplotlib, Marketing Analytics, Web Scraping, Social Media Marketing, Python Programming, Social Media, Pandas (Python Package), Text Mining, Trend Analysis, Data Analysis, Data Wrangling, Data Cleansing, Seaborn, Content Performance Analysis, Jupyter

    3.9
    Rating, 3.9 out of 5 stars
    ·
    35 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    SAS

    Data Analysis and Reporting in SAS Visual Analytics

    Skills you'll gain: Trend Analysis, Data Manipulation, Data Analysis, SAS (Software), Analysis, Analytics, Data Visualization, Interactive Data Visualization, Data Visualization Software, Data Presentation, Business Reporting, Graphing, Statistical Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    362 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Genentech

    Data Sciences in Pharma - Patient Centered Outcomes Research

    Skills you'll gain: Clinical Trials, Drug Development, Patient Evaluation, Pharmaceutical Terminology, Clinical Assessment, Quantitative Research, Data Literacy, Patient-centered Care, Statistical Methods, Data Science, Statistical Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Data Visualization and Modeling in Python: Duke University
  • Opioid Epidemic: From Evidence to Impact : Johns Hopkins University
  • Microsoft Azure for AI and Machine Learning: Microsoft
  • Data Science with Real World Data in Pharma: Genentech
  • Data Analysis in Python: Using Pandas DataFrames: Coursera
  • Unsupervised Algorithms in Machine Learning: University of Colorado Boulder
  • Analysis and Interpretation of Data: Queen Mary University of London
  • Fake News Detection with Machine Learning: Coursera
  • Clean and analyze social media usage data with Python: Coursera
  • Principal Component Analysis with NumPy: Coursera

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