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Análisis de Datos y Gráficos con Python: Panda y Matplotlib.

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Hola Amigos/as!En este curso te enseñare desde 0 Python (en el caso que lo necesites). Veremos todo lo que necesitas para realizar el curso.Para luego avanzaremos con el Análisis de datos con la librería Pandas. Esta increíble herramienta te permite moldear los datos en base a lo que quieres analizar y así visualizarlos de una mejor manera.Al final del curso aprenderemos la librería Matplotlib de Python, la cual nos permite graficar a nuestro gusto y de diferentes maneras los datos que queremos analizar y representar.Aprovecha ya mismo en aprender estas herramientas en un mercado donde el análisis de datos es cada vez más requerido.Yo soy Álvaro Chirou, tengo más de 20 Años de experiencia trabajando en Tecnología, eh dado disertaciones en eventos internacionales como OWASP, tengo más de 500.000 estudiantes en Udemy y 100 formaciones profesionales impartidas en la misma.

Yo soy Álvaro Chirou, tengo más de 20 Años de experiencia trabajando en Tecnología, eh dado disertaciones en eventos internacionales como OWASP, tengo más de 500.000 estudiantes en Udemy y 100 formaciones profesionales impartidas en la misma. Yo soy Álvaro Chirou, tengo más de 20 Años de experiencia trabajando en Tecnología, eh dado disertaciones en eventos internacionales como OWASP, tengo más de 500.000 estudiantes en Udemy y 100 formaciones profesionales impartidas en la misma. Yo soy Álvaro Chirou, tengo más de 20 Años de experiencia trabajando en Tecnología, eh dado disertaciones en eventos internacionales como OWASP, tengo más de 500.000 estudiantes en Udemy y 100 formaciones profesionales impartidas en la misma.

Analiza y representa tu información como un experto!.Nos vemos dentro del curso!Tu Profesor Álvaro Chirou.

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This course offers 628 intermediate to advanced level English grammar questions within 6 Practice Tests, all prepared by professional exam developer and item writer, Ulku Kucukakin. Also, all the questions have academic vocabulary items that you will need in your language exams. Come and experience the quality of the questions yourself!Sample Question #1: (Tenses) 1. The success story of Beetles cars _______ in 1947, and by 1972, the total number of Beetles cars in the market _______ 15 million.A) was starting / is going to reachB) had started / had been reachingC) would start / reachD) started / had reachedE) was going to start / was reachingSample Question #2: (Gerunds& Infinitives / Modal Verbs)2. Young poets prefer _______ in literary magazines instead of publishing their own books since they _______ a name for themselves in literary circles this way.A) being published / will have madeB) publishing / should makeC) to have published / makeD) to be published / can makeE) having published / are madeSample Question #3: (Gerunds & Infinitives)3. The pattern _______ in winter has developed to allow Emperor penguins _______ to independence at a time when food is most plentiful.A) of breeding / growB) breeding / to be grownC) to breed / to growD) in breeding / grownE) to have bred / growingSample Question #4: (If Clauses)4. If we _______ back in time to the American Civil War, a very different landscape _______ visible.A) travel / will beB) could travel / would beC) can travel / isD) had travelled / would have beenE) travelled / could have beenSample Question #5: (Noun Clauses)5. The traveler was amazed by _______ there was a beautiful parrot in a golden cage in the caravanserai, continually repeating "Freedom!"A) whetherB) thatC) whereD) whyE) the fact thatSample Question #6: (Linkers)6. In the old days, potatoes, carrots, and turnips were very popular among people, _______ they could be stored all winter before the invention of refrigerators.A) whereasB) no matterC) wheneverD) forE) in contrastAnswers: 1. D 2. D 3. C 4. B 5. E 6. D

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This course contains the use of artificial intelligence. This bundle gives you a complete, practical understanding of finance, covering markets, valuation, and financial modeling.Instead of learning isolated concepts, you’ll build a connected skillset used by professionals in investment banking, equity research, and corporate finance.You’ll start by understanding how capital markets function, how financial instruments like bonds and derivatives behave, and how risk and return are evaluated. From there, you’ll move into equity valuation, where you’ll learn how to determine what a company is truly worth using proven frameworks like discounted cash flow (DCF), dividend models, and valuation multiples.The core of this bundle focuses on financial modeling in Excel. You’ll build a complete model step by step, covering revenue forecasting, cost projections, working capital, cash flows, debt, and balance sheet integration.Along the way, you’ll also develop a strong understanding of fixed income and structured finance, helping you understand how large-scale financial systems and products operate.You’ll also gain clarity on how these concepts connect in real-world scenarios—how market dynamics influence valuation, how valuation feeds into modeling, and how models drive investment decisions. This integrated approach ensures you don’t just learn concepts, but understand how to apply them effectively in real finance roles.By the end of this bundle, you’ll be able to analyze companies, build financial models, and make informed financial decisions with confidence.

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Análisis de Datos y Gráficos con Python: Panda y Matplotlib.

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Análisis de Datos y Gráficos con Python: Panda y Matplotlib.

About this course

Skills you'll gain

Available Coupons

Course Information

This course includes:

Share this course

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