Transformation: Complete Edition Python ETL

Published by: SceneTeam on 8-02-2022, 11:49 | 0

Data Processing/Transformation: Complete Edition Python ETL
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHzLanguage: English | Size: 3.12 GB | Duration: 7h 12m

What you'll learn
You will be able to understand how does transformation happens in industry
You will be able to use PANDAS, a python library, to transform raw dataset into required format
You will be able to use KNME, an analytical tool, to perform transformation
You will be able to learn difference between using a tool and a programming language to perform transformation
Description
Requirements
· A computer on which you can install the software (Windows, macOS, or Linux)
Description
In my industrial experience of working with huge data sets and different languages, I realized that back at our colleges we were not prepared for applying theory into practice in such a manner.

It surely was a struggle to get through my initial years and with this, I decided to develop an easy course for those who wished that their college's lives had braced them for what the practical field looks like! This course will entail to PANDAS library and K tool which leads to ETL i.e. the process of transfog big data into visuals.
You can start this new course, and I will try to assist you as much as possible in understanding the usage of these emeg tools. I want you all to know and understand that basic programming is not always the answer but instead application of smart tools is!
Here's what you'll learn in this course
· Python
· PANDAS library
· K analytical tool
· Side by side project in PANDAS and K
· And Way More!
This is a short course but nevertheless it is a "Complete Guide" on data transformation. Through this course, we will ensure that any person with no knowledge of basic python concepts will be able to apply these in their real-life experiences or their full- jobs.
We don't believe in testing your knowledge through tricky tests rather we want you to develop this skill through its application. Therefore, we'll go through concepts of Python, K and PANDAS side by side and build two major projects.
There might be s when you get stuck. But I am here to help you get through it!
I am sure that nobody wants to be go through a seven-hour course with not much sense to it. It is exactly why I wanted theory and practical implementation of each section properly in one short course! Not that I tried to explain the basics as I went through the course, I will be available to answer any queries that you might have in the comments section and help you get unstuck. I reply to every question to get you back on track.
Is this course for you
· If you want to learn industrial-level data transformation
· If you want to learn libraries like PANDAS
· If you want to learn working with tools like K
If the answer to all above three in positive then chances are, that you'll get a lot of value out of this course, too!
Who this course is for
Data Eeer
Data Scientist
Data Analyst
BI Analyst
Project Managers
Client Services