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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: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Wrangling with Python Project

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Integration, Data Collection, Data Preprocessing, Data Validation, Data Cleansing, Data Quality, Data Analysis, Data Manipulation, Data Transformation, Data Pipelines, Pivot Tables And Charts, Statistical Visualization, Data Visualization, Statistical Analysis, Descriptive Statistics, Data Mining, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Methodology and Ethics in AI

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Model Deployment, Debugging, Artificial Intelligence, Machine Learning, Ethical Standards And Conduct, Model Evaluation, Applied Machine Learning, Social Impact, Unstructured Data, Data-Driven Decision-Making, Information Privacy, Case Studies

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Emory University

    Marketing Analytics Capstone Project

    Skills you'll gain: Marketing Analytics, Exploratory Data Analysis, Model Evaluation, Business Analysis, Predictive Modeling, Logistic Regression, Analytical Skills, Regression Analysis, Data Analysis, Data Preprocessing, Data Visualization

    4.4
    Rating, 4.4 out of 5 stars
    ·
    30 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Análisis exploratorio de datos con Python y Pandas

    Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Seaborn, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, NumPy, Data Cleansing, Descriptive Statistics, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    14 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Using R for Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, Geospatial Information and Technology, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning in Healthcare: Fundamentals & Applications

    Skills you'll gain: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Healthcare Industry Knowledge, Algorithms, Data Cleansing, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Python: de usuario a explorador de datos

    Skills you'll gain: Matplotlib, NumPy, Extract, Transform, Load, Time Series Analysis and Forecasting, Pandas (Python Package), Exploratory Data Analysis, Data Science, Data Visualization Software, Data Analysis, Statistical Analysis, Graphing, Data Import/Export, Data Manipulation, Data Structures, Python Programming, Linear Algebra, File Management

    3.8
    Rating, 3.8 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Como criar data lakes e data warehouses no Google Cloud

    Skills you'll gain: Data Lakes, Data Architecture, Data Governance, Data Warehousing, Google Cloud Platform, Metadata Management, Data Management, Cloud Storage, Operational Databases, Big Data, Applied Machine Learning, Advanced Analytics, Cloud Computing Architecture, Data Security

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Evaluation, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions

    Skills you'll gain: Model Evaluation, Google Cloud Platform, Model Deployment, Data Preprocessing, Applied Machine Learning, Feature Engineering, Analytics, Cloud Storage, Predictive Analytics, Machine Learning, Advanced Analytics, Data Management

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    T

    The State University of New York

    Analytics, Law, and Athlete Representation

    Skills you'll gain: Law, Regulation, and Compliance, Data-Driven Decision-Making, Data Analysis, Regulation and Legal Compliance, Analytics, Trend Analysis, Data Management, Contract Management, Contract Negotiation, Negotiation, Relationship Building, Ethical Standards And Conduct, Operations Management

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Tidying and Importing with R

    Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Pipelines, Data Preprocessing, Personally Identifiable Information, Data Integrity, R Programming, Exploratory Data Analysis, Information Privacy, Statistical Programming

    5
    Rating, 5 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Data Wrangling with Python Project: University of Colorado Boulder
  • Practical Methodology and Ethics in AI: Johns Hopkins University
  • Marketing Analytics Capstone Project: Emory University
  • Análisis exploratorio de datos con Python y Pandas: Coursera
  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University
  • Python: de usuario a explorador de datos: Universidad Nacional Autónoma de México
  • Como criar data lakes e data warehouses no Google Cloud: Google Cloud
  • CNNs with TensorFlow: Basics of Machine Learning: Coursera
  • Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions: Google Cloud

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