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  • Statistical Analysis

Statistical Analysis Courses

Statistical analysis courses can help you learn data collection methods, hypothesis testing, regression analysis, and data visualization techniques. You can build skills in interpreting results, making predictions, and drawing conclusions from data sets. Many courses introduce tools such as R, Python, and Excel, that support performing statistical computations and creating visual representations of data.


More to explore:

Popular Statistical Analysis Courses and Certifications


  • Status: Free Trial
    Free Trial
    G

    Google

    Prepare Data for Exploration

    Skills you'll gain: Data Ethics, Data Analysis, Data Literacy, Data Security, Google Sheets, Databases, Data Storage, Data Quality, Data Management, Data Collection, SQL, Data Import/Export, Metadata Management, Unstructured Data

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    AI For Everyone

    Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    52K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Business: Essentials

    Skills you'll gain: Excel Formulas, Microsoft Excel, Spreadsheet Software, Microsoft Office, Data Analysis Expressions (DAX), Productivity Software, Data Analysis Software, Business Analytics, Analytical Skills

    4.9
    Rating, 4.9 out of 5 stars
    ·
    51K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    Logical Operations

    R Programming for Data Science

    Skills you'll gain: R Programming, R (Software), Data Science, Data Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Statistical Visualization, Regression Analysis, Statistical Machine Learning, Plot (Graphics), Data Structures, Computer Programming, Decision Tree Learning, Machine Learning Methods, Machine Learning, Software Development, Computer Programming Tools, Data Import/Export, Machine Learning Algorithms

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Analysis, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Model Evaluation, Mathematical Modeling, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    What is Data Science?

    Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    77K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    38K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, Computer Vision, LangChain, ChatGPT, Restful API, Responsive Web Design, LLM Application, Generative AI, Responsible AI, IBM Cloud, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    81K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Data Science with Python

    Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Scientific Visualization, Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Data Manipulation, NumPy, Graph Theory, Data Preprocessing, Natural Language Processing, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    34K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Analyze Predictor Impact Using Regression in Minitab

    Skills you'll gain: Data Analysis, Predictive Analytics, Case Studies, Statistical Visualization, Statistical Modeling

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Digital Marketing and E-commerce

    Skills you'll gain: Data Storytelling, Performance Measurement, Search Engine Marketing, Performance Analysis, Content Performance Analysis, Data-Driven Decision-Making, Search Engine Optimization, Branding, Web Analytics and SEO, Business Metrics, Marketing Strategy and Techniques, Digital Marketing, Customer Engagement, Keyword Research, Marketing Planning, Customer experience strategy (CX), Digital Advertising, Marketing, E-Commerce, Marketing Analytics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    31K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Foundations for Everyone

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, IBM Cloud, AI Workflows, No-Code Development, Machine Learning Software, Model Deployment, Natural Language Processing, Machine Learning, Artificial Intelligence, Self Service Technologies, Application Deployment, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Robotics, Deep Learning, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35K reviews

    Beginner · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular statistical analysis courses

  • Prepare Data for Exploration: Google
  • AI For Everyone: DeepLearning.AI
  • Excel Skills for Business: Essentials: Macquarie University
  • R Programming for Data Science: Logical Operations
  • Bayesian Statistics: University of California, Santa Cruz
  • What is Data Science? : IBM
  • Machine Learning: DeepLearning.AI
  • IBM AI Developer: IBM
  • Applied Data Science with Python: University of Michigan
  • Analyze Predictor Impact Using Regression in Minitab: EDUCBA

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