Statistical methods tutorial

  • 5 basic methods of statistical analysis

    The Role of Statistics in Machine Learning.
    Statistics constitutes the backbone of machine learning, providing the tools and techniques to analyze and interpret data.
    Essentially, statistics provides the theoretical framework upon which machine learning algorithms are built..

  • How can I learn statistics easily?

    Two main statistical methods are used in data analysis: descriptive statistics, which summarizes data using indexes such as mean and median and another is inferential statistics, which draw conclusions from data using statistical tests such as student's t-test..

  • How can I teach myself statistics?

    Here's how you can learn statistics on your own in four easy steps:

    1. Study the core concepts.
    2. You can start learning statistics by studying the core concepts of the discipline.
    3. Learn the Bayesian and Frequentist approaches
    4. Research machine learning
    5. Collaborate with other data scientists

  • How to learn statistics from basics?

    Here's how you can learn statistics on your own in four easy steps:

    1. Study the core concepts.
    2. You can start learning statistics by studying the core concepts of the discipline.
    3. Learn the Bayesian and Frequentist approaches
    4. Research machine learning
    5. Collaborate with other data scientists

We have created 36 tutorial pages for you to learn more about some of the most important concepts in Statistics. Basic Concepts. IntroductionGathering Data.Statistical InferenceStatistics IntroductionDescriptive StatisticsGathering Data

What do you learn in statistics?

Explain the use of data collection and statistics as tools to reach reasonable conclusions.
Recognize, examine and interpret the basic principles of describing and presenting data.
Compute and interpret empirical and theoretical probabilities using the rules of probabilities and combinatorics.
Explain the role of probability in statistics.


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