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**SKIKDA** · 08-14-2023, 02:57 AM

Published 8/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.83 GB | Duration: 4h 48m

Master the data analysis and visualization libraries in Python: Numpy, Pandas, Matplotlib, Seaborn, Plotly + more

What you'll learn
Jupyter Notebooks IDE / Anaconda Distribution
Python, we will be using Python3 in this course
Data Analysis Libraries in Python such as NumPy and Pandas
Data Visualization Libraries in Python such as Matplotlib and Seaborn
A resume ready project
You will get to learn through the practical implementation

Requirements
Basic knowledge of python programming is needed

Description
Learn By Making Project which could be added in the resumeLearn one of the most in demand programming languages in the world and master the most important libraries when it comes to analyzing and visualizing data.This course can be split into 3 key areas:The first area of the course focuses on core Python3 and teaches you the essentials you need to be able to master the libraries taught in this courseThe second area focuses on analysing and manipulating data. You will learn how to master both NumPy and PandasFor the final part of the course you learn how to display our data in the form of interesting charts using Matplotlib, Seaborn and Plotly ExpressYou will be using Google colab, a cloud based IDE for writing the codes.The course is packed with lectures, code-along videos, coding exercises and quizzes.On top of that there are numerous dedicated challenge sections that utilize interesting datasets to enable you to make the most out of these external libraries.There should be more than enough to keep you engaged and learning! As an addition you will also have lifetime access to all the lectures as well as lots of downloadable course resources consisting of detailed Notebooks.The aim of this course is to make you proficient at using Python and the data analysis and visualization libraries.This course is suitable for students of all levels and it doesn't matter what operating system you use.

Overview
Section 1: Titanic dataset analysis

Lecture 1 Pclass vs survived vs gender class

Lecture 2 Introduction and importing of libraries

Lecture 3 Gathering information about the data

Lecture 4 Visualizing the data

Lecture 5 Featuring - gender class

Lecture 6 Survived class

Lecture 7 Featuring - Passenger class

Lecture 8 Plots for gender class

Lecture 9 visualizing other parameters

Lecture 10 Feature - Age class

Lecture 11 11

Lecture 12 12

Lecture 13 13

Lecture 14 14

Lecture 15 15

Lecture 16 16

Lecture 17 19

Lecture 18 27

Lecture 19 28

Lecture 20 29

Anyone interested in learning Python,Python developers curious about the data visualization libraries,Python developers curious about the data analysis libraries,Python developers curious about the data analysis libraries

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