As a beginner in #DataScience, it’s hard to understand all the concepts you learn without implementing them.
So, here's a list of 175+ Data Science projects with #Python based on real-time business problems that you should try.
Link: https://t.co/HzyezUW1C1
Python is one of the best programming languages opening countless doors in almost any industry 🔥
Here are incredible Python practice projects you can add to your resume to get a high-paying job:
Every data analyst should have an online data analytics portfolio that showcases their best work to recruiters 24/7.
The problem?
Most people don't know how to build one.
Here are 6 steps to get you started: 👇
The one skill every professional data scientist must have? 🤔
Don't look for it in online courses, it's not there.
Read the thread below and find out ↓↓↓
Object-oriented programming is a way of writing code that relies on objects & classes.
And it helps you write simple, reusable code.
In this tutorial, @wagslane explains key OOP concepts like abstraction, encapsulation, inheritance, & polymorphism.
https://t.co/NldtVCTgHK
So stop thinking about it - you want to work in data science and/or ML? Start NOW.
1. Learn SQL
2. Learn Python
3. Learn Pandas + Numpy
4. Learn data viz basics
5. Learn Tableau / PowerBI
This is how you become a PRO analyst