log
Desarrollo Ciencias de la Información

Comparte si te a gustado:

Facebook Twitter
Statistics for Data Science and Business Analytics

Publicado en 06 Jan 2022

Udemy UK

What you'll learn

  • Introduction to the Course
  • Introduction to the Probability
  • Master the fundamentals of statistics for data science & data analytics
  • How to plot different types of data
  • Statistical Distributions
  • Quizzes and exercises.
  • Understand random variables,types & functions
  • Correlation,causation,spearman,kendall rank & pearson correlation
  • Detailed explaination of sampling methods
  • Bayes Theorem
  • Learn measures of central Tendency

    • Requirements

  • Eagerness and motivation to learn
  • Absolutely no previous experience required. We will learn everything right from the basics and then work our way up step by step
  • Determination and Desire to Learn new things
  • A positive attitude to success.

    • Description

    Welcome to the best online course on Statistics for Data Science.

    Statistics are used to communicate data. With the help of Statistics understand the data and communicate our confidence in the statements.

    Statistics for Data Science course is designed to give knowledge of the basic principles of statistical methods and concepts of statistical analysis using the Python programming language. This is a complete course on Statistics with Python and Data Science along with examples.

    In this course, you will cover:

    • Introduction to the Statistics.

    • Introduction to the Probability.

    • Learn about the Descriptive Statistics concepts.

    • Learn about the Random Variables in Statistics.

    • Learn about Statistical Distribution in this course.

    • Learn about the Inferential Statistics topics.

    • Learn about the Correlations in the course.

    • Learn about the different Sampling Methods in the course.

    • Learn about the different types of Stochastic Processes.

    • Learn about the Regression in Statistics.


    Not only this, you will get to attempt quizzes to test your knowledge. You will also have access to all the resources such as PPT and coding files used in this course.

    Instructor Support - Quick Instructor Support for any queries.

    I'm looking forward to see you in the course!

    Enroll now and make the best use of this course.

    Who this course is for:

  • Who wants to become a Data Scientist.
  • Those who are looking for Job
  • Professionals and students who want to understand the necessary statistics for data analysis
  • Data Analyst
  • Someone interested in learning how to apply probability and statistics to business or data science
  • Just Passion for Learning
  • Anybody who wants to master stats for business analytics
  • Anybody who wants to get hands-on experience with stats
  • Anybody who wants to learn stats from the ground up


    • Debes tener en cuenta que los cupones duran maximo 4 dias o hasta agotar 1000 inscripciones,pero puede vencer en cualquier momento. Obten el curso con cupon haciendo clic en el siguiente boton:

    (Cupón válido para las primeras 1000 inscripciones): 7AE9870FEE566864B3FR
    Obtener Cupón Mas Cursos
    Udemy UK
    Tags:
    2698 0

    Articulos Relacionados

    content

    Python 3: Análisis y visualización de datos

    Comienza en el mundo del análisis de datos y añade valor a tu CV

    Ir al Curso
    content

    Data Science: Python for Data Analysis Full Bootcamp

    Build your Practical Python programming skills for Data Handling, Analysis and Visualization with Real Examples

    Ir al Curso
    content

    Python-Introduction to Data Science and Machine learning A-Z

    Python basics Learn Python for Data Science Python For Machine learning and Python Tips and tricks

    Ir al Curso
    Suscríbete a nuestro boletín
    Reciba los últimos Cupones y promociones (Solicitar Cupón)

    Usamos cookies en este sitio web para brindarle la mejor experiencia en nuestro sitio y mostrarle anuncios relevantes. Para obtener más información, lea nuestro política de privacidad& política de cookies.