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Udemy - A-Z Python For Data Science




Udemy - A-Z Python For Data Science
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 24 lectures (34m) | Size: 722.6 MB
Everything in Python which we need to learn for data science


What you'll learn
Python Language for Data science
Real-Time Projects in Data Science
Practical knowledge of Data Science Projects.
Use Pandas, Numpy, MatplotLib libraries in python
Requirements
No Programming Experience Needed
Description
Let's Learn the basics of python which we can utilize in the coming courses.
Getting one step closer to Being a data scientist.
We will get in-depth what is data science and why we are learning it.
This is a beginner's course.
Make sure you have a laptop or computer where you can practice all the coding problems and learn in-depth.
In this course, we will also be learning File Management, Pandas, NumPy. Also, projects are added for you to complete with multiple quizzes too.
In File Management, we learn to use different types of files we commonly get our data as. We learn here to read, write and manipulate them also, and we make use different Pandas datatypes which gives us so much freedom to understand, analyze and create our various models.
Common good coding practices are also added which will be useful during interview processes.
Interview question related to the Basics of Python, File Management, NumPy and Pandas are also added here.
Make use of discussions that will help you resolve common issues. Also, we are always here to solve any queries you may have.
The only way to be great at anything is to practice rigorously. No one can do it for you. Make sure you practice coding every day and get the hang of it and get comfortable. From now, you will be spending a lot of time doing it being a data scientist.
Who this course is for
Beginner to Data Science
Inspiring Data Scientist
Beginner Python Developer curious about Data Science
Homepage
https://www.udemy.com/course/a-z-python-for-data-science/

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