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How to Photograph Your Art Learn to Create Amazing Images of Your Work

How to Photograph Your Art Learn to Create Amazing Images of Your Work
Video: .MP4, 1280x720 | Audio: AAC, 48kHz, 2ch | Duration: 1h 15m
Genre: eLearning | Language: English | Size: 1,38 GB


Learn Professional Photohraphy Through Andriod and ios

Learn Professional Photohraphy Through Andriod and ios
Video: .MP4, 636x360 | Audio: AAC, 48kHz, 2ch | Duration: 40m
Genre: eLearning | Language: English | Size: 251 MB


Complete Canva Course 2019 - Learn Advanced Graphic Design!

Complete Canva Course 2019 - Learn Advanced Graphic Design!
MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch
Genre: eLearning | Language: English + .VTT | Duration: 3 hour | Size: 2.33 GB


Learn Modern JavaScript Getting Started

Learn Modern JavaScript Getting Started
Created by Steven Hancock | Video: 1280x720 | Audio: AAC 48KHz 2ch | Duration: 13:30 H/M | Lec: 114 | 1.50 GB | Language: English | Sub: English [Auto-generated]


Java Programming for Complete Beginners - Learn in 250 Steps

Java Programming for Complete Beginners - Learn in 250 Steps
Udemy | Duration: 25 h 46 m | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 2,81 GB | Language: English + .vtt | 2019


Learn how to create lifelong passive income on Autopilot

Learn how to create lifelong passive income on Autopilot
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .VTT | Duration: 3.5 hour | Size: 2.47 GB


Apache Kafka for Beginners - Learn Kafka by Hands-On

Apache Kafka for Beginners - Learn Kafka by Hands-On
MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 6 hours | Size: 1.01 GB


Learn Management To Save Your Company - MasterClass 2019

Learn Management To Save Your Company - MasterClass 2019
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 8.5 hours | Size: 1.9 GB


Learn Django By Creating Real Website

Learn Django By Creating Real Website
MP4 | Video: AVC 1280x696 | Audio: AAC 44 kHz 2ch | Duration: 1 Hour | 441 MB
Genre: eLearning | Language: English


SKILLSHARE Learn Data Analysis with Python-iLLiTERATE


SKILLSHARE Learn Data Analysis with Python-iLLiTERATE

SKILLSHARE Learn Data Analysis with Python-iLLiTERATE
English | Size: 773.38 MB
Category: Tutorial
When it comes to data analysis and manipulation the Python Pandas library is one of the most used libraries in Python. Whether in finance, scientific fields, or data science, a familiarity with Python Pandas is a must have.

This course teaches you how to work with real-world data sets for analyzing data in Python. Not only will you learn how to manipulate and analyze data you will also learn powerful and easy to use visualization techniques for representing your data.

By the end of this course you will know how to:

Use Anaconda, the worlds leading data science platform, to setup Python and manage libraries

Install and setup the free to use Atom Text Editor

Create Virtual Environments

Clone a GitHub Repository directly into Atom

Create new code branches in GitHub and Atom

Install the Pandas library

Use Pandas DataFrames for data analysis

Quickly and efficiently inspect large data files

Use conditional filtering to refine your data

Use NumPy and Pandas together

Create DataFrames without starting data files

Create DataFrames from dictionaries

Use Broadcasting to create DataFrames

Correctly label data within DataFrames

Cleanse your data files for easier analysis

Create graph plots from your data (line, bar, scatter, area and more)

Save and export your data files for sharing

Use statistical exploratory data analysis techniques such as min, max, mean on your data

Mange date and time data within large data sets

Create Date/Time indexes

Partial string indexing

Resampling techniques such as downsampling

Method chaining

This course kicks off by showing you how to get up and running using GitHub, an essential skill in your coding career. Ideally, to get the best from this course you should have some Python programming experience.

Every piece of code and dataset used in this course is available to download for free from GitHub.

Without a doubt, this course will teach you the necessary skills to apply basic data science techniques which are used the world over by experienced data scientists and those who spend their working day in spreadsheets.

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