# Data Science With Plotly, Numpy, Matplotlib, And Pandas

Posted on 2019-03-22, by fubber.

Description

Data Science With Plotly, Numpy, Matplotlib, And Pandas
mp4 | AVC: 1280x720 G_P| Audio:AAC LC 128 Kbps | Total files:188 | mp4, txt, pdf, vtt, html | 4.92 GB
Genre: eLearning | Language: English

General:

What you'll learn

Understand the Scientific Python Ecosystem
Understand Data Science, Pandas, and Plotly
Learn basics of NumPy Fundamentals
Learn Data Acquisition Techniques
Linear Algebra and Matrices

Course content
Expand all 89 lectures10:45:56
+Introduction
5 lectures07:22
+Install and Verify Python 3 on Windows
2 lectures12:38
+Python 3 on Raspberry Pi
8 lectures01:00:40
+Basics of Python 3
5 lectures35:35
+PyPI and pip
3 lectures18:44
+Install NumPy and Matplotlib
2 lectures10:26
+Jupyter Notebook
7 lectures59:59
+Getting Started with NumPy
5 lectures35:40
+Creation of Arrays and Matplotlib
4 lectures33:09
+Random Sampling
1 lecture04:58
+Array Manipulation Routines
1 lecture27:41
+Bitwise Operations
1 lecture03:35
+Statistical Functions
1 lecture05:17
+Plotting in detail
4 lectures39:15
+Installing SciPy and Pandas
6 lectures11:07
+Matrices and Linear Algebra
6 lectures32:57
+Data Acquisition with Python, NumPy, and Matplotlib
6 lectures45:16
+Python and MySQL
12 lectures02:11:33
+Series and DataFrame in Pandas
2 lectures31:19
+Data Acquisition with Pandas
7 lectures38:42
1 lecture00:01
Requirements

Windows PC/ Raspberry Pi with Internet Connection
Zeal and enthusiasm to learn new things
a burning desire to take your career to the next level
Basic Programming and Python Programming Basics
basic mathematics knowledge will be greatly appreciated

Description

Become a Master in Data Acquisition and Visualization with Python 3 and acquire employers' one of the most requested skills of 21st Century! An expert level Data Science can earn minimum \$100000 (that's five zeros after 1) in today's economy.

This is the most comprehensive, yet straight-forward course for the Data Science with Python 3 on Udemy! Whether you have never worked with Data Science before, already know basics of Python, or want to learn the advanced features of Plotly and Pandas with Python 3, this course is for you! In this course we will teach you Data Science with Python 3, Jupyter, NumPy, Pandas, Matplotlib, and Plotly .

(Note, we also provide you PDFs and Jupyter Notebooks in case you need them)

With over 40 lectures and more than 11 hours of video this comprehensive course leaves no stone unturned in teaching you Data Science with Python 3, Pandas, and Plotly!

This course will teach you Data Science in a very practical manner, with every lecture comes a programming video and a corresponding Jupyter notebook that has Python 3 code! Learn in whatever manner is the best for you!

We will start by helping you get Python3, NumPy, matplotlib, Jupyter, Pandas, and Plotly installed on your Windows computer and Raspberry Pi.

We cover a wide variety of topics, including:

Basics of Scientific Python Ecosystem

Basics of Pandas

Basics of NumPy and Matplotlib

Installation of Python 3 on Windows

Setting up Raspberry Pi

Tour of Python 3 environment on Raspberry Pi

Jupyter installation and basics

NumPy Ndarrays

Array Creation Routines

Basic Visualization with Matplotlib

Ndarray Manipulation

Random Array Generation

Bitwise Operations

Statistical Functions

Basics of Matplotlib

Installation of SciPy and Pandas

Linear Algebra with NumPy and SciPy

Data Acquisition with Python 3

MySQL and Python 3

Data Acquisition with Pandas

Basics of Plotly

Configuring Charts with Plotly

NumPy and Plotly

Matplotlib and Plotly

Pandas and Plotly

Transformations with Plotly

Advanced visualizations with Pandas and Plotly

You will get lifetime access to over 40 lectures plus corresponding PDFs and the Jupyter notebooks for the lectures!

This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back.

So what are you waiting for? Learn Data Science with Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!
Who this course is for:

Data Science Professionals: Data Scientists and Data Engineers
AI and Machine Learning Professionals
Scientists, Mathematicians, Physicists, and Engineers
Python Developers and Programmers
Anyone who wants to learn

Video:

Width: 1280 pixels
Height: 720 pixels
Format: AVC
Codec: AVC
Duration: 6min 15s
Bit rate: 465 Kbps
Frame rate: 30.000 fps
Aspect ratio: 16:9
Bit depth: 8 bits
Color space: YUV
Subtitles: N/A

Audio:

Audio track: 1
Language: N/A
Codec: AAC LC
Channels: 2
Bit rate: 128 Kbps N/A
Compression: Lossy
Sampling rate: 44 Khz

`http://nitroflare.com/view/6F98170F9A45B23/G_P91fqoao5s15cmg.z01http://nitroflare.com/view/9227DDCE69C7081/G_P91fqoao5s15cmg.z02http://nitroflare.com/view/8B793FA94D35B4E/G_P91fqoao5s15cmg.z03http://nitroflare.com/view/39E8C86CA77CAE5/G_P91fqoao5s15cmg.z04http://nitroflare.com/view/8E6575067391F1D/G_P91fqoao5s15cmg.z05http://nitroflare.com/view/0287A49AA8E7D19/G_P91fqoao5s15cmg.z06http://nitroflare.com/view/39087BE98F24971/G_P91fqoao5s15cmg.z07http://nitroflare.com/view/4CD1EE398865A6F/G_P91fqoao5s15cmg.z08http://nitroflare.com/view/01167271059767A/G_P91fqoao5s15cmg.zip`

`https://uploadgig.com/file/download/5ecf40E6C4afab19/G_P91fqoao5s15cmg.z01https://uploadgig.com/file/download/1B51855d85D6d46b/G_P91fqoao5s15cmg.z02https://uploadgig.com/file/download/9325d661bE072809/G_P91fqoao5s15cmg.z03https://uploadgig.com/file/download/6d0fa8fA4e7012c7/G_P91fqoao5s15cmg.z04https://uploadgig.com/file/download/21f58B415dc9E5F4/G_P91fqoao5s15cmg.z05https://uploadgig.com/file/download/1a19c574843dc105/G_P91fqoao5s15cmg.z06https://uploadgig.com/file/download/aced61d0a1D3962e/G_P91fqoao5s15cmg.z07https://uploadgig.com/file/download/031Fc2e771d69c6e/G_P91fqoao5s15cmg.z08https://uploadgig.com/file/download/ce050507EA858955/G_P91fqoao5s15cmg.zip`

Extract the archives with Winrar 5 or WinZip(zip files) & password

9879 dl's @ 3144 KB/s
6535 dl's @ 2450 KB/s
5559 dl's @ 2543 KB/s

Search More...
Data Science With Plotly, Numpy, Matplotlib, And Pandas

Related Books