Foro Wanako1
¿Quieres reaccionar a este mensaje? Regístrate en el foro con unos pocos clics o inicia sesión para continuar.

Foro Wanako1

Programas Gratuitos, Desatendidos y Mucho más!!!
 
PortalPortal  ÍndiceÍndice  BuscarBuscar  Últimas imágenesÚltimas imágenes  ConectarseConectarse  RegistrarseRegistrarse  
Buscar
 
 

Resultados por:
 
Rechercher Búsqueda avanzada
Los posteadores más activos del mes
missyou123
Coursera  - Statistics with Python Specialization Vote_lcapCoursera  - Statistics with Python Specialization Voting_barCoursera  - Statistics with Python Specialization Vote_rcap 
ℛeℙ@¢ᴋ€r
Coursera  - Statistics with Python Specialization Vote_lcapCoursera  - Statistics with Python Specialization Voting_barCoursera  - Statistics with Python Specialization Vote_rcap 
ПΣӨƧӨFƬ
Coursera  - Statistics with Python Specialization Vote_lcapCoursera  - Statistics with Python Specialization Voting_barCoursera  - Statistics with Python Specialization Vote_rcap 
tano1221
Coursera  - Statistics with Python Specialization Vote_lcapCoursera  - Statistics with Python Specialization Voting_barCoursera  - Statistics with Python Specialization Vote_rcap 
大†Shinegumi†大
Coursera  - Statistics with Python Specialization Vote_lcapCoursera  - Statistics with Python Specialization Voting_barCoursera  - Statistics with Python Specialization Vote_rcap 
Engh3
Coursera  - Statistics with Python Specialization Vote_lcapCoursera  - Statistics with Python Specialization Voting_barCoursera  - Statistics with Python Specialization Vote_rcap 
Noviembre 2024
LunMarMiérJueVieSábDom
    123
45678910
11121314151617
18192021222324
252627282930 
CalendarioCalendario
Últimos temas
» O&O Defrag Professional/Server 29.1.11201 (x64) 
Coursera  - Statistics with Python Specialization EmptyHoy a las 2:19 pm por ПΣӨƧӨFƬ

» n-Track Studio Suite 10.2.0.9142 Multilingual
Coursera  - Statistics with Python Specialization EmptyHoy a las 2:13 pm por ПΣӨƧӨFƬ

» LibRaw RawDigger v1.4.9.821 (Profile Edition)
Coursera  - Statistics with Python Specialization EmptyHoy a las 2:12 pm por ПΣӨƧӨFƬ

» FinePrint 12.08 Multilingual
Coursera  - Statistics with Python Specialization EmptyHoy a las 2:06 pm por ПΣӨƧӨFƬ

» pdfFactory Pro 9.08 Multilingual
Coursera  - Statistics with Python Specialization EmptyHoy a las 2:05 pm por ПΣӨƧӨFƬ

» Telegram Desktop Messenger 5.7.1 AIO Silent Multilingual
Coursera  - Statistics with Python Specialization EmptyHoy a las 1:47 pm por ℛeℙ@¢ᴋ€r

» Microsoft Edge WebView2 130.0.2849.68 AIO Silent
Coursera  - Statistics with Python Specialization EmptyHoy a las 1:33 pm por ℛeℙ@¢ᴋ€r

» Microsoft Edge Stable 130.0.2849.68 Dual x86x64 [Silent]
Coursera  - Statistics with Python Specialization EmptyHoy a las 11:35 am por ℛeℙ@¢ᴋ€r

» WordWeb Pro 10.42 + Ultimate Reference Bundle
Coursera  - Statistics with Python Specialization EmptyHoy a las 10:16 am por ℛeℙ@¢ᴋ€r

Sondeo
Visita de Paises
free counters
Free counters

Comparte | 
 

 Coursera - Statistics with Python Specialization

Ver el tema anterior Ver el tema siguiente Ir abajo 
AutorMensaje
missyou123
Miembro Mayor
Miembro Mayor


Mensajes : 76905
Fecha de inscripción : 20/08/2016

Coursera  - Statistics with Python Specialization Empty
MensajeTema: Coursera - Statistics with Python Specialization   Coursera  - Statistics with Python Specialization EmptyDom Ago 01, 2021 10:22 am

Coursera  - Statistics with Python Specialization 538e2e8bad2219110e986f57fedb89fb
MP4 | Video: 1280X720 | Audio: AAC 44.1 Khz , 1ch | Duration: 21h 9 min | Language: English | Subtitles: Multilanguage | 3.5 GB

Understanding and Visualizing Data with Python
In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling.

At the end of each week, learners will apply the statistical concepts they've learned using Python within the course environment. During these lab-based sessions, learners will discover the different uses of Python as a tool, including the Numpy, Pandas, Statsmodels, MatDescriptionlib, and Seaborn libraries. Tutorial videos are provided to walk learners through the creation of visualizations and data management, all within Python. This course utilizes the Jupyter Notebook environment within Coursera.

Inferential Statistical Analysis with Python
In this course, we will explore basic principles behind using data for estimation and for assessing theories. We will analyze both categorical data and quantitative data, starting with one population techniques and expanding to handle comparisons of two populations. We will learn how to construct confidence intervals. We will also use sample data to assess whether or not a theory about the value of a parameter is consistent with the data. A major focus will be on interpreting inferential results appropriately.

At the end of each week, learners will apply what they've learned using Python within the course environment. During these lab-based sessions, learners will work through tutorials focusing on specific case studies to help solidify the week's statistical concepts, which will include further deep dives into Python libraries including Statsmodels, Pandas, and Seaborn. This course utilizes the Jupyter Notebook environment within Coursera.

Fitting Statistical Models to Data with Python
In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods. We will also focus on various modeling objectives, including making inference about relationships between variables and generating predictions for future observations.

This course will introduce and explore various statistical modeling techniques, including linear regression, logistic regression, generalized linear models, hierarchical and mixed effects (or multilevel) models, and Bayesian inference techniques. All techniques will be illustrated using a variety of real data sets, and the course will emphasize different modeling approaches for different types of data sets, depending on the study design underlying the data (referring back to Course 1, Understanding and Visualizing Data with Python).

During these lab-based sessions, learners will work through tutorials focusing on specific case studies to help solidify the week's statistical concepts, which will include further deep dives into Python libraries including Statsmodels, Pandas, and Seaborn. This course utilizes the Jupyter Notebook environment within Coursera.

Screenshots

Coursera  - Statistics with Python Specialization 57425bb4d416d29704074014df4dd931

DOWNLOAD:
Citación :

https://rapidgator.net/file/ed349c84eae9244dad9bce61b1989b5b/gng9j.Coursera..Statistics.with.Python.Specialization.part1.rar.html
https://rapidgator.net/file/ae961455fa58f7c2272c31b363e9c077/gng9j.Coursera..Statistics.with.Python.Specialization.part2.rar.html
https://rapidgator.net/file/b53e0f9a9a3709b085f0ade563587e8f/gng9j.Coursera..Statistics.with.Python.Specialization.part3.rar.html
https://rapidgator.net/file/5dca41f7ae0f8f9436510c3e7a690449/gng9j.Coursera..Statistics.with.Python.Specialization.part4.rar.html


https://uploadgig.com/file/download/5Becdb73a3f27f60/gng9j.Coursera..Statistics.with.Python.Specialization.part1.rar
https://uploadgig.com/file/download/a7d4afEA0e69CE06/gng9j.Coursera..Statistics.with.Python.Specialization.part2.rar
https://uploadgig.com/file/download/4bbc5186570d0Fef/gng9j.Coursera..Statistics.with.Python.Specialization.part3.rar
https://uploadgig.com/file/download/9ed7Ef9C72993eA2/gng9j.Coursera..Statistics.with.Python.Specialization.part4.rar


https://nitroflare.com/view/ED8C1A0FFD05188/gng9j.Coursera..Statistics.with.Python.Specialization.part1.rar
https://nitroflare.com/view/19CFE571203766C/gng9j.Coursera..Statistics.with.Python.Specialization.part2.rar
https://nitroflare.com/view/8D535D1C9CA5E25/gng9j.Coursera..Statistics.with.Python.Specialization.part3.rar
https://nitroflare.com/view/DBC3A082EAF19CC/gng9j.Coursera..Statistics.with.Python.Specialization.part4.rar

Volver arriba Ir abajo
 

Coursera - Statistics with Python Specialization

Ver el tema anterior Ver el tema siguiente Volver arriba 
Página 1 de 1.

 Temas similares

-
» Coursera - Statistics with R Specialization by Duke University
» Coursera - Business Statistics and Analysis Specialization by Rice University
» Coursera - Python for Everybody Specialization by University of Michigan
» Coursera - Python 3 Programming Specialization by University of Michigan
» Coursera - Data Science Fundamentals with Python and SQL Specialization

Permisos de este foro:No puedes responder a temas en este foro.
Foro Wanako1 :: Programas o Aplicaciónes :: Ayuda, Tutoriales-