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

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

12 Easy Steps ✔ to the Python Data Analysis, Beginners Guide | Udemy Coupon ED

12 Easy Steps ✓ to the Python Data Analysis, Beginners Guide. ⋆⋆⋆ Simple way ☀ to unlocke your hidden, huge value as a professional. Getting Started Udemy

What you'll learn

  • ★ Python Basics for Data Analysis ✔
  • ★ Python Beginners Guide To The Data Analysis ✔
  • ★ Develop Problem Solving Ability ✔
  • ★ Start Developing Data Analysis Abilities with Python ✔
  • ★ Learn to Automate Data Analysis Task ✔
  • ★ Understand What is Python, Anaconda, Jupyter Notebook ✔
  • ★ Data Types ✔
  • ★ Data Structures ✔
  • ★ For Loops ✔
  • ★ If Statement ✔
  • ★ Functions ✔
  • ★ Arrays in Python ✔
  • ★ Learn to Enjoy Python and that It Is Not So Complex ✔


➤ So, why Python?
Well, Python is great for beginners because it has a simple syntax ✔. Therefore, you will be quick to write programmes, make meaningful analysis and start having a lot of fun.
Python is also amazingly powerful and it's used by some of the biggest companies like Google, Dropbox, Reddit and Instagram. One very important aspect of Python is a large community ✔ of users, who are willing to help. It is crazy, what obscure problems I was able to solve using their assistant. Plus, Python has a large collection of libraries ✔ and tools that allow you to pull in powerful functionality ✔ such as complex data analysis ✔ and visualizations ✔ into your programs with a single line of code.

➤ How to be smart about learning it?
Ok, you have decided to go with python. Various courses teach you basics that apply to the development of apps. Yet, when you analyse data ✔ you may not need all that functionality. Say, take my personal experience, I frequently need to create a one-off project with insights for my management. I would need to take several sets of data, transform and clean it. Then I would prepare insights reports or visualisations. But that does not require creating an app with error handling or complicated UI.
Even though, you may use some of the other capabilities of Python in the future. Still, for data analysis, it could become a distraction. Ultimately, you will realise that there is so much functionality available for python that you just cannot learn everything. You will need to find a balance. If your goal is to analyse data you should go deeper in data specific libraries and not wider. ◕

➤ Reason for the course:
So, I have decided enough is enough, I need to help others, who want to learn data analysis with python and what to do it smartly. Thus, I have created “Python Beginners Guide To The Data Analysis Galaxy Volume 1” to expedite your learning and generate value faster. After you complete the course, you will be ready and equipped ✔ to handle more complicated libraries like pandas ✔.

➤ Future Training:
Why should you care about pandas, I hear you ask? Pandas is a genuine workhorse for data analysis. It allows you to analyse, transform, clean data and do much more in python. It is a fast, powerful, flexible and easy to use open-source data analysis and manipulation tool, built on top of the Python programming language.
If you want to be great at data analysis pandas is what you need. I have tried to include all the required basics in the course for you to be ready to handle pandas.

➤ So, let's start! ☀
So, brew a nice cup of coffee ☕, get some desserts ✔ and dig into “Python Beginners Guide To The Data Analysis Galaxy Volume 1”.
Enjoy and do not forget to have some fun! ✌ ☻☻☻

➤ Exercise Files: 
★ Downloadable content as part of Introduction.
★ Included Final Class File in each video so you can easily follow videos.
★ Also, the same exercises available after each training video.
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