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| Original file line number | Diff line number | Diff line change |
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| --- | ||
| title: Veggies | ||
| tags: veggies, cooking | ||
| date: 2019-09-22 | ||
| excerpt: Veggies es bonus vobis proinde vos postulo essum magis kohlrabi welsh onion daikon amaranth tatsoi tomatillo melon azuki bean garlic. | ||
| title: Científico de datos | ||
| tags: carrera, cientifico de datos | ||
| date: 2019-06-01 | ||
| excerpt: Este documento tiene como propósito presentar una recomendación de guía de estudio y preparación para un Científico de Datos que cubre desde los aspectos básicos hasta niveles avanzados para aspirar a hacer una entrevista en una FANG. | ||
| --- | ||
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| # Hello world | ||
| Los Científicos de Datos de acuerdo a diversas definiciones es una persona que tiene conocimientos de estadística, programación y análisis de datos. De acuerdo con Wikipedia tiene las siguientes habilidades: | ||
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| [Something](https://www.google.com) | ||
| - Recopilar, procesar y extraer valor de las diversas y extensas bases de datos. | ||
| - Imaginación para comprender, visualizar y comunicar sus conclusiones a los no científicos de datos. | ||
| - Capacidad para crear soluciones basadas en datos que aumentan los beneficios, reducen los costos. | ||
| - Los científicos de datos trabajan en todas las industrias y hacen frente a los grandes proyectos de datos en todos los niveles. | ||
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| [Leer más](https://es.wikipedia.org/wiki/Ciencia_de_datos#Cient%C3%ADfico_de_datos) | ||
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| "Científico de datos (n): Persona que sabe más de estadística que cualquier programador y que a la vez sabe más de programación que cualquier estadístico", Josh Willis. | ||
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| ## **Plan diario** | ||
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| Si aún no sabes cómo empezar te comparto mi plan diario para seguir preparándome como CD. | ||
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| - Dedicarle media hora de lectura de temas relacionados a CD en Medium o sitios similares. | ||
| - Lectura de alguno de los libros listados (el tiempo que tu dispongas). | ||
| - Codificar al menos una hora al día pueden ser ejercicios de algoritmia ó realizar ejercicios de probabilidad y estadística durante al menos una hora al día. | ||
| - Tomar notas que puedo revisar para dudas posteriores. Puedes usar Notion o una libreta. | ||
| - Practicar, practicar y practicar. | ||
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| Lo anterior es solo una idea sin embargo dependerá del tiempo y responsabilidades de cada persona, lo importante es que inicies y tengas constancia en tu aprendizaje. | ||
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| ## **Sitios útiles** | ||
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| Si requieres practicar y poner a prueba tus avances puedes utilizar los siguientes sitios. | ||
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| - [Leetcode](https://www.leetcode.com/) | ||
| - [Hacker Rank](https://hackerrank.com/) | ||
| - [AlgoExpert](https://algoexpert.io/) (código de descuento aiwif-18) | ||
| - [Codewars](http://www.codewars.com/) | ||
| - [Codility](https://codility.com/programmers/) | ||
| - [HackerEarth](https://www.hackerearth.com/) | ||
| - [Sphere Online Judge](http://www.spoj.com/) | ||
| - [Codechef](https://www.codechef.com/) | ||
| - [InterviewCake](https://www.interviewcake.com/) | ||
| - [Geeks for Geeks](http://www.geeksforgeeks.org/) | ||
| - [InterviewBit](https://www.interviewbit.com/invite/icjf) | ||
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| Si tienes sitios que deseas que agregue y comparta envía un tuit a [@silvercorp](https://www.twitter.com/silvercorp) | ||
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| ## **Videos y lecturas generales** | ||
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| - [Coursera: Learning How to Learn: Powerful mental tools to help you master tough subjects](https://www.coursera.org/learn/learning-how-to-learn/home/welcome) | ||
| - [ABC: Always Be Coding](https://medium.com/always-be-coding/abc-always-be-coding-d5f8051afce2#.4heg8zvm4) | ||
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| ## **Agradecimientos** | ||
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| Gracias a todos los que colaboran compartiendo este material y en especial a [Latincoder](https://twitter.com/jorge_vgut) y [Lira Tron](https://twitter.com/Lira_tron) por las enseñanzas en temas de algoritmia. | ||
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| ## Subtitle | ||
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| ### Text |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,14 +1,138 @@ | ||
| --- | ||
| title: Veggies | ||
| tags: veggies, cooking | ||
| date: 2019-09-22 | ||
| excerpt: Veggies es bonus vobis proinde vos postulo essum magis kohlrabi welsh onion daikon amaranth tatsoi tomatillo melon azuki bean garlic. | ||
| --- | ||
| # Probabilidad y estadística | ||
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| # Hello world | ||
| ### Estadística descriptiva | ||
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| [Something](https://www.google.com) | ||
| La estadística descriptiva es la rama de la estadística que recolecta, analiza y caracteriza un conjunto de datos con el objetivo de presentar los comportamientos y singularidades del mismo. | ||
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| ## Subtitle | ||
| Nota: Si prefieres revisar los temas siguientes en un solo recurso puedes descargar un libro gratuito en este [enlace](https://link.springer.com/book/10.1007%2F978-3-319-46162-5). | ||
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| ### Text | ||
| - ¿Qué es la estadística descriptiva? | ||
| - [Introducción](https://conjointly.com/kb/descriptive-statistics/) | ||
| - [Introduction to Statistics](https://www.youtube.com/watch?v=MXaJ7sa7q-8) | ||
| - [Understanding Descriptive Statistics](https://towardsdatascience.com/understanding-descriptive-statistics-c9c2b0641291) | ||
| - [Descriptive Statistics (Playlist)](https://www.youtube.com/watch?v=h8EYEJ32oQ8&list=PLU5aQXLWR3_yYS0ZYRA-5g5YSSYLNZ6Mc) | ||
| - [Descriptive Statistics (Playlist - 13 videos)](https://www.youtube.com/watch?v=bfQLNyiDPsk&list=PLTNMv857s9WVStKLco6ZBOsfSGXzJ1L0f) | ||
| - Variables estadísticas | ||
| - [Cualitativa y cuantitativa.](https://www.youtube.com/watch?v=5rUVYWfZOb8) | ||
| - Medida de tendencia central. | ||
| - Media | ||
| - [Finding mean, median and mode](https://www.youtube.com/watch?v=k3aKKasOmIw&list=PLU5aQXLWR3_yYS0ZYRA-5g5YSSYLNZ6Mc&index=2) | ||
| - [The mean](https://www.youtube.com/watch?v=bfQLNyiDPsk&list=PLTNMv857s9WVStKLco6ZBOsfSGXzJ1L0f&index=1) | ||
| - Mediana | ||
| - [Finding mean, median and mode](https://www.youtube.com/watch?v=k3aKKasOmIw&list=PLU5aQXLWR3_yYS0ZYRA-5g5YSSYLNZ6Mc&index=2) | ||
| - [The median](https://www.youtube.com/watch?v=rvBqEEGtJY4&list=PLTNMv857s9WVStKLco6ZBOsfSGXzJ1L0f&index=3) | ||
| - Moda | ||
| - [Finding mean, median and mode](https://www.youtube.com/watch?v=k3aKKasOmIw&list=PLU5aQXLWR3_yYS0ZYRA-5g5YSSYLNZ6Mc&index=2) | ||
| - [The mode](https://www.youtube.com/watch?v=HUUyX80PUuI&list=PLTNMv857s9WVStKLco6ZBOsfSGXzJ1L0f&index=4) | ||
| - Medida de dispersión. | ||
| - [Rango, varianza y desviación estándar](https://www.youtube.com/watch?v=E4HAYd0QnRc) | ||
| - [Z-Scores, Standardization, and the Standard Normal Distribution (5.3)](https://www.youtube.com/watch?v=2tuBREK_mgE) | ||
| - [Rango intercuartílico](https://www.youtube.com/watch?v=qcTcsEdMgBo) | ||
| - [Covarianza](https://www.youtube.com/watch?v=KDw3hC2YNFc) | ||
| - Coeficiente de variación de Pearson | ||
| - [Pearson's Correlation](https://www.youtube.com/watch?v=2B_UW-RweSE) | ||
| - [Pearson Coefficient of Correlation Explained.](https://towardsdatascience.com/pearson-coefficient-of-correlation-explained-369991d93404) | ||
| - [How to Calculate and Interpret a Correlation (Pearson's r)](https://www.youtube.com/watch?v=lVOzlHx_15s) | ||
| - Coeficiente de correlación de Spearman | ||
| - [Spearman correlation](https://www.youtube.com/watch?v=YpG2MlulP_o) | ||
| - [How To... Calculate Spearman's Rank Correlation Coefficient (By Hand)](https://www.youtube.com/watch?v=DE58QuNKA-c) | ||
| - [Correlation: Pearson vs. Spearman](https://www.youtube.com/watch?v=YjTod0R7cNE) | ||
| - Medidas de posición no central | ||
| - Cuartiles y percentiles | ||
| - [What are Quartiles? Percentiles? Deciles?](https://www.youtube.com/watch?v=Wy7w_5N7vLI) | ||
| - [Quartiles, Deciles, & Percentiles With Cumulative Relative Frequency - Data & Statistics](https://www.youtube.com/watch?v=40o82o3uNfk) | ||
| - Asimetría y curtosis. | ||
| - Asimetría | ||
| - Negativa, Simétrica y Asimetría positiva | ||
| - [¿What is?](What is Skewness? | Statistics) | ||
| - [Symmetry and Skewness](https://www.youtube.com/watch?v=pfujiA5Mk_U) | ||
| - [Skewness - Right, Left & Symmetric Distribution - Mean, Median, & Mode With Boxplots - Statistics](https://www.youtube.com/watch?v=U0NZu6f5TMI) | ||
| - Curtosis | ||
| - [What is Kurtosis?](https://www.youtube.com/watch?v=TM033GCU-SY&list=PLTNMv857s9WVStKLco6ZBOsfSGXzJ1L0f&index=10) | ||
| - [Kurtosis](https://www.youtube.com/watch?v=Pf7awGwzy4k) | ||
| - Frecuencias | ||
| - Absoluta | ||
| - [Definition](https://www.statisticshowto.com/absolute-frequency-definition-examples/) | ||
| - [How To Make a Relative Frequency Distribution Table](https://www.youtube.com/watch?v=gq3FPpm2yvA) | ||
| - Absoluta acumulada | ||
| - [Cumulative Frequency Distribution Definition](https://www.statisticshowto.com/cumulative-frequency-distribution/) | ||
| - Relativa | ||
| - [How to make a relative frequency distribution](https://www.youtube.com/watch?v=7jUIt39tUBM) | ||
| - Relativa acumulada | ||
| - [How To Make a Cumulative Relative Frequency Table](https://www.youtube.com/watch?v=6hJGa4Zp62M) | ||
| - Gráficos | ||
| - Introducción | ||
| - [Understanding Statistical Graphs and when to use them](https://www.youtube.com/watch?v=rllw15xkmUU) | ||
| - [Introduction](Bar Charts, Pie Charts, Histograms, Stemplots, Timeplots (1.2)) | ||
| - Lineal | ||
| - [Line graphs](https://www150.statcan.gc.ca/n1/edu/power-pouvoir/ch9/line-lineaire/5214824-eng.htm#:~:text=A%20line%20graph%20is%20a,see%20the%20Organizing%20data%20chapter.) | ||
| - [Line graphs with examples](https://www.onlinemathlearning.com/line-graphs.html) | ||
| - Diagrama de barras | ||
| - [What are Bar graphs?](https://www.youtube.com/watch?v=FYFYrjMLG7E) | ||
| - [Bar graphs](https://www.smartdraw.com/bar-graph/) | ||
| - [Reading bar graph examples](https://www.youtube.com/watch?v=OmLl6pkvV-I) | ||
| - Diagrama circular (de pastel) | ||
| - [What are pie charts?](https://www.youtube.com/watch?v=8-GZRGwcgVs) | ||
| - [Pie chart](https://www.mathsisfun.com/data/pie-charts.html) | ||
| - [Art of Problem Solving: Bar Charts and Pie Charts](https://www.youtube.com/watch?v=foyPpC3XjhE) | ||
| - Polígono de frecuencias | ||
| - [How To Make a Frequency Polygon](https://www.youtube.com/watch?v=y7Wb9AjbRjo) | ||
| - [What is a Frequency Polygon?](https://www.youtube.com/watch?v=k1ZFZ3hTftg) | ||
| - [How To Draw A Frequency Polygon](https://www.youtube.com/watch?v=PZVJ_NUxEUc) | ||
| - Histograma | ||
| - [What is a Histogram?](https://www.youtube.com/watch?v=YLPDPglvePY) | ||
| - [How To Make a Histogram Using a Frequency Distribution Table](https://www.youtube.com/watch?v=AndS0RLdxtk) | ||
| - [What is a Histogram in Statistics?](https://www.youtube.com/watch?v=0Ul8SOlOu8c) | ||
| - Pareto | ||
| - [What is a Pareto Chart? Definition and Examples](https://tulip.co/blog/manufacturing/what-is-a-pareto-chart-definition-and-examples/) | ||
| - [Pareto chart](https://www.youtube.com/watch?v=Tsvru8DPxBE) | ||
| - [Statistic:Scatter Plot, Dot Plot and Pareto Chart](https://www.youtube.com/watch?v=feXc3KHJCnA) | ||
| - Diagrama de caja (BoxPlot) | ||
| - [How To Make Box and Whisker Plots](https://www.youtube.com/watch?v=mhaGAaL6Abw) | ||
| - [Boxplot with outliers](https://www.youtube.com/watch?v=1HjLY1tc508) | ||
| - [Understanding & Comparing Boxplots (Box and Whisker Plots)](https://www.youtube.com/watch?v=Hm6Mra5XJSs) | ||
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| ### Estadística inferencial | ||
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| Es una rama de la estadística que se encarga de deducir propiedades, generar conclusiones a partir de una muestra del conjunto de datos. | ||
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| - ¿Qué es la estadística inferencial? | ||
| - Estimaciones | ||
| - Puntual | ||
| - De intervalo | ||
| - Pruebas de hipótesis | ||
| - Usando intervalos de confianza | ||
| - Usando p-values | ||
| - z-test, t-test, chi-square, f-test | ||
| - [Learn about the t-test, the chi square test, the p value and more](https://www.youtube.com/watch?v=I10q6fjPxJ0&t=320s) | ||
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| ### Adicionales | ||
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| - ANOVA | ||
| - MANOVA | ||
| - MANCOVA | ||
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| ### Cursos gratuitos | ||
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| - [Elementary Statistics](https://www.udacity.com/course/statistics--st095) - Udacity | ||
| - [High School statistics](https://www.khanacademy.org/math/probability) - Khan Academy | ||
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| ### Libros recomendados | ||
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| - | ||
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| ### Videos | ||
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| - [¿Por qué deberías amar la estadística?](https://www.ted.com/talks/alan_smith_why_you_should_love_statistics) | ||
| - [The best stats you've ever seen](https://www.ted.com/talks/hans_rosling_the_best_stats_you_ve_ever_seen](https://www.ted.com/talks/hans_rosling_the_best_stats_you_ve_ever_seen)) | ||
| - [Playlist: Statistical rethinking (2017)](https://www.youtube.com/playlist?list=PLDcUM9US4XdM9_N6XUUFrhghGJ4K25bFc) | ||
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| ### Lecturas | ||
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| - [Introducción a la probabilidad](https://www.dartmouth.edu/~chance/teaching_aids/books_articles/probability_book/amsbook.mac.pdf) | ||
| - [Applied statistics and probability for Engineers](http://www.um.edu.ar/math/montgomery.pdf) | ||
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| ### Para practicar | ||
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| - [Ejercicios](https://www0.gsb.columbia.edu/faculty/pglasserman/B6014/exercises.pdf) | ||
| - [HackerRank: 10 days of statistics](https://www.hackerrank.com/domains/tutorials/10-days-of-statistics) |
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