MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + srt | Duration: 76 lectures (7h 40m) | Size: 2 GB

Basic data eeering : python, pandas, google cloud platform (GCP) bigquery, spark on dataproc, gcs, data warehouse
Basic data eeering, what is data eeering, why needed, how to do it from zero
Relational database model, database modelling for normalization design & hands-on using postgresql & python / pandas
NoSQL database model, denormalization design & hands-on using elasticsearch & python / pandas
Introduction to spark & spark cluster using google cloud platform
Understanding basic sql statements (select, insert, update, delete is sufficient)
Understanding basic python / pandas
The course uses google cloud platform.

If you wants to do hands-on, you need to provide credit card detail for payment on google cloud. If you don't, you can still watch the course video
"Data is the new oil".
You might have heard the quote before. Data in digital era is as valuable as oil in industrial era. However, just like oil, raw data itself is not usable. Rather, the value is created when it is gathered completely and accurately, connected to other relevant data, and done so in a ly manner.
Data eeers design and build pipelines that transform and transport data into a usable format. A different role, like data scientist or machine learning eeer then able to use the data into valuable business insight. Just like raw oil transformed into petrol to be used through complex process.
To be a data eeer requires a lot of data literacy and practice. This course is the first step for you who want to know about data eeering. In this course, we will see theories and hands-on to introduce you to data eeering. As data field is very wide, this course will show you the basic, entry level knowledge about data eeering process and tools.
This course is very suitable to build foundation for you to go to data field. In this course, we will learn аbout:
Introduction to data eeering
Relational & non relational database
Relational & non relational data model
Table normalization
Fact & dimension tables
Table denormalization for data warehouse
ETL (Extract Transform Load) & data staging using pyhton pandas
Elasticsearch basic
Data warehouse
Numbers every eeers should know & how it is related to big data
Hadoop
Spark cluster on google cloud dataproc
Data lake
Important Notes
Data field is HUGE! This course will be continuously updated, but for being, this contains introduction to concept, and sample hands-on for data eeering.
For now, this course is intended for bner on data eeering.
If you have some experience on programming and wonder about data eeering, this course is for you.
If you have experience in data eeering field, this course might be too basic for you (although I'm very happy if you still purchase the course)
If you never write python or SQL before, this course is not for you. To understand the course, you must have basic knowledge on SQL and pyhton.
Bner python developer curious about data eeering
Software eeer who wants to take the path of becoming data eeer
Technical architect, eeering manager, who wants to know overview of data eeering






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