Data Science with Python - Part 1: Introduction and Python Basics
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 475 MB | Duration: 2h 49m

In this part of the course, you will learn the basics of Python and in other parts, you will learn its most popular libraries for Data Science such as Numpy, Pandas, Matplotlib, Seaborn. In general, you will learn all the important tools and knowledge for Data Science with more than 60 lectures, practice all your new skills with 4 big exercises sections, including more than 85 exercise questions and you will do all of this using one of the most popular programming languages: PYTHON!

Data pre-processing is a very important stage of the work flow of Machine Learning. With this course, you will learn how to import, check, clean data in terms of data pre-processing for Machine Learning, also visualize data and communicate your results using impressive plots. This course will help you jump start your career or take your first big step into the world of Data Science and Machine Learning which are very popular fields with many attractive job opportunities!

Don't miss this train and take your place in the world of DATA!

What you'll learn in this part

Importance of Data Science and It's applications
Python - data types, functions, if conditions, loops and functions
What you'll learn in all the parts of the course

Importance of Data Science and It's applications
Python - data types, functions, if conditions, loops and functions
Numpy library - a faster alternative to store data!
Pandas library - import, clean and modify large data sets
Matplotlib library - visualize data
Seaborn library- create impressive statistical plots
Communicate conclusions from data effectively using plots
and many more!
Are there any course requirements or prerequisites?

A computer with internet connection
Who this course is for

Anyone who wants to learn Python and Data Science
Beginner Python developers curious about data science