12 Easy Steps ✔ to the Python Data Analysis, Beginners Guide

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Description: ➤ Why Learn Python for Data Analysis?My name is Paulius. I have been working as Business & Data Analyst for multiple years in various international organisations. The amount of data these organisations are facing increases exponentially. So, I have decided that I need to know how to analyse, process and transform large sets of data. I could no longer entirely rely on Excel. It would crash anytime the data size grows larger.Then, why Learn Python For Data Analysis? Well, Python is excellent for beginners because it has a simple syntax ✔. Therefore, you will be quick to write programmes ✔, make meaningful analysis ✔, get those insights ✔ you need and start having some fun. Plus, Python has an extensive collection of libraries ✔ such as pandas, NumPy or matplotlib. They include tools that allow you to pull in powerful functionality like complex data analysis ✔, machine learning ✔ and visualisations ✔ into your programs. In some cases, you will need only a single line of code.One essential aspect of Python is a large community of users who are willing to help ✔. It is crazy, what obscure data analysis problems I was able to solve using their assistants ✔. Plus, the biggest companies like Google, Dropbox, Reddit and Instagram are using Python as well and with a good reason.➤ Course Prepared Using My ExperienceThree years ago, I started my journey in learning Python. Picking up multiple tutorials and even building a fully functional online store. However, I have found that tutors in those courses almost always assume some level of programming experience. Even when the level is identified as a beginner, they would either not explain some concepts or start with detail explanations but by the end of the
Category: Business > Business Analytics & Intelligence > Business Analytics
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