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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: Free Trial
    Free Trial
    C

    Coursera

    Commercial Awareness

    Skills you'll gain: Strategic Decision-Making, Business Acumen, Competitive Analysis, Sales Strategy, Strategic Thinking, Business Strategy, Market Trend, Market Analysis, Business Marketing, Financial Acumen, Strategic Marketing, Market Intelligence, Trend Analysis, Leadership, Business, Business Management, Financial Analysis, Marketing Strategies, Business Metrics, Market Dynamics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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
    U

    Universidad Nacional Autónoma de México

    Python: de explorador de datos a analista

    Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Data Analysis, Data Science, Python Programming, Jupyter, Matplotlib, Software Installation, Data Manipulation, Scripting, Package and Software Management, Development Environment

    3.8
    Rating, 3.8 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Prepare for the Meta Marketing Science Certification Exam

    Skills you'll gain: Marketing Analytics, Analytics, Marketing, Data Analysis, Resource Utilization, Marketing Effectiveness, Registration, Statistical Methods, Digital Marketing, Social Media Marketing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 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

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Aptly

    Google Search Advertising Implementation

    Skills you'll gain: Google Ads, Advertising Campaigns, Search Engine Marketing, Pay Per Click Advertising, Performance Analysis, Performance marketing, Bidding, Campaign Management, Online Advertising, Digital Advertising, Web Analytics, Advertising, Performance Metric, Keyword Research, Key Performance Indicators (KPIs), Target Audience, Performance Management

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Interactive Brokers

    Introduction to Momentum Investing

    Skills you'll gain: Market Trend, Portfolio Risk, Technical Analysis, Risk Management, Market Data, Trend Analysis, Investment Management, Investments, Portfolio Management, Equities

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modeling Climate Anomalies with Statistical Analysis

    Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Data Science, Data Analysis, Data Visualization, Pandas (Python Package), Anomaly Detection, Time Series Analysis and Forecasting, Data Visualization Software, Data Collection, Data Manipulation, Application Programming Interface (API)

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Commercial Awareness: Coursera
  • Practical Methodology and Ethics in AI: Johns Hopkins University
  • Python: de explorador de datos a analista: Universidad Nacional Autónoma de México
  • Prepare for the Meta Marketing Science Certification Exam: Meta
  • Marketing Analytics Capstone Project: Emory University
  • Data Science Fundamentals, Part 1: Pearson
  • Deep Learning with Real-World Projects: Packt
  • R Ultimate 2024 - R for Data Science and Machine Learning: Packt
  • Google Search Advertising Implementation: Aptly
  • Introduction to Momentum Investing: Interactive Brokers

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