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Data Analysis with Pandas and Python

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Welcome to the most comprehensive Pandas course available on Udemy! An excellent choice for both beginners and experts looking to expand their knowledge on one of the most popular Python libraries in the world! Data Analysis with Pandas and Python offers 19 hours of in-depth video tutorials on the most powerful data analysis toolkit available today. If you've spent time in a spreadsheet software like Microsoft Excel, Apple Numbers, or Google Sheets and are eager to take your data analysis skills to the next level, this course is for you! Data Analysis with Pandas and Python introduces you to the popular Pandas library built on top of the Python programming language.


Python Financial Analysis: Investment & Data Fundamentals

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Do you want to get into Python Financial Programming? Do you want to get into Stock Investing? Then this course is all you need to get started! In this course you will learn Financial Stock Analysis using the Python programming language and the Yahoo Finance Python library. The implementation will take place within the Jupyter Notebook which we will install using the Anaconda data science platform.


Data Analysis with Python and Pandas

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Data Analysis with Python and Pandas The ability to work with data is becoming a crucial skill in the modern world. But what exactly is data analysis, and how can one get started with it? In this article, we'll explore all the details. Description Python programmers are some of the most sought-after employees in the tech world, and Python itself is fast becoming one of the most popular programming languages. One of the best applications of Python however is data analysis; which also happens to be something that employers can't get enough of.


R for Beginners

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R is a great language for programming beginners to learn, and you don't need any prior experience with code to pick it up. Nowadays, R is easier to learn than ever thanks to the tidyverse collection of packages. Are you one of the people that would like to start a data science career or are you just fond of using data for data analysis in your spare time or for your job? Do you use spreadsheets for data cleaning, wrangling, visualization, and data analysis? I think it is time to enhance your hobby or your career path with learning adequate skills such as R. Originally R began as a free software environment for statistical computing with graphics supported.


Data Visualization in R vs. Python

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Overall, both R and Python are well-equipped for data visualization. R is a language primarily for data analysis, which is manifested in the fact that it provides a variety of packages that are designed for scientific visualization. Python, on the other hand, is a general-purpose programming language that can also be used for data analysis, and offers many good solutions for data visualization. Customizing graphics is easier and more intuitive in R with the help of ggplot2 than in Python with Matplotlib. The Seaborn library helps to overcome this, and offers good standard solutions which get by with relatively few lines of code.