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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


  • G

    Google

    Fast-Track Data Analysis and Presentations

    Skills you'll gain: Presentations, Prompt Engineering, Responsible AI, Verbal Communication Skills, Sampling (Statistics), Excel Formulas, Data Storytelling, Spreadsheet Software, Generative AI, Data Analysis

    5
    Rating, 5 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Development Methodologies Overview

    Skills you'll gain: Software Development Life Cycle, CI/CD, Software Development Methodologies, Jenkins, Continuous Integration, Agile Methodology, Software Development, Cloud Development, Continuous Delivery, Agile Software Development, Cloud Computing Architecture, Cloud Applications, Software Engineering, Scrum (Software Development), Computer Programming, Kubernetes

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • L

    L&T EduTech

    Planning of Hydropower Projects

    Skills you'll gain: Construction, Construction Engineering, Hydrology, Construction Management, Hydraulics, Water Resource Management, Civil Engineering, Energy and Utilities, Water Quality, Environmental Engineering, Electrical Power, Structural Engineering, Geospatial Mapping, Electric Power Systems, Engineering Analysis, Sustainable Technologies, Structural Analysis

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Model Evaluation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Data Presentation, Machine Learning, Statistical Methods, Matplotlib, Supervised Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Mixed · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Practical AI for Professionals

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, AI Enablement, Artificial Intelligence, Responsible AI, Data Analysis, Descriptive Statistics, Technology Strategies, Business Strategy, Machine Learning, Data Management, Data Preprocessing, Computer Vision, Unstructured Data, Predictive Modeling, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Como criar data lakes e data warehouses no Google Cloud

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • K

    Kotter

    The 4 Core Change Principles

    Skills you'll gain: Organizational Change, Change Management, Business Transformation, Leadership and Management, Organizational Structure, Organizational Leadership, People Management, Industrial and Organizational Psychology, Leadership Development, Leadership, Drive Engagement, Stakeholder Engagement, Diversity and Inclusion, Lifelong Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • S

    SkillUp

    Data Collection and Root Cause Analysis

    Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Analysis, Process Analysis, Six Sigma Methodology, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Pareto Chart

    4.3
    Rating, 4.3 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Modern Topics in Condensed Matter Physics

    Skills you'll gain: Advanced Mathematics, Materials science, Physics, Physical Science, electromagnetics, Mathematical Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • S

    SkillUp

    Practice Test for CompTIA Data+ Certification

    Skills you'll gain: Exploratory Data Analysis

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Advanced · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Vertex AI Tabular Data: Qwik Start

    Skills you'll gain: Google Cloud Platform, Model Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Cloud Computing, Classification Algorithms

    Intermediate · Project · Less Than 2 Hours

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

  • Fast-Track Data Analysis and Presentations: Google
  • Development Methodologies Overview: LearnQuest
  • Planning of Hydropower Projects: L&T EduTech
  • AI with Python: Apply & Implement ML Models: EDUCBA
  • Practical AI for Professionals: Northeastern University
  • Como criar data lakes e data warehouses no Google Cloud: Google Cloud
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • The 4 Core Change Principles: Kotter
  • Data Collection and Root Cause Analysis: SkillUp
  • Modern Topics in Condensed Matter Physics: University of Colorado Boulder

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