Why I Prefer Python as the Tool of Choice for Data Analysis in 2024
And why I recommend it to Aspiring Data Analysts (+ FREE Roadmap of Python for Data Analysis)
The Market is flooded with Data Analytics tools. Some of the popular ones out there are Tableau, SQL (Oracle, MySQL, Postgres), Sisense, SAS, Excel, Power BI, and the list is not even 1% done yet!
It is easy for aspiring Data Analysts to get completely lost in getting a hang of each and every tool. But from my experience, learning Python for Data Analysis is never a disadvantage. In fact, it might even set you apart from the rest of crowd. Here are my reasons why:
It is FREE
Python is a free, open course, general purpose programming language. So you do not need a subscription, or a one-time payment or any licence to start using it.
Although some of the above mentioned softwares have a free version, they have restricted features in the free version, and you will have to shell out money to get access to all the advance features as well.
Meanwhile Python is completely free to use, and so are most of the popular libraries that you would use for Data Analysis and Visualisation (and even dashboarding!!)
