Covering Data Science, Data Lake, Machine learning, Warehouse, Pipeline, Athena, AWS CLI, Big data, EMR and BI, AI tools
What you'll learn
Learn Data Analytics, Manage AWS Cloud infrastructure, Data Lakes, Handle huge data sets, bigdata and data analysis.
All the lectures come with practical demos for easy understanding.
Exploring AWS Analytics offerings and knowledge to handle data sicentist jobs
Requirements
Basic computer knowledge, Awareness of Cloud computing and good system with internet
Description
AWS emerging as leading player in the cloud computing, data analytics, data science and Machine learning.
AWS Analytics course lectures with practical demos
Lecture Duration (hh:mm:ss)
Amazon Athena - Interactive query service 00:07:10
Amazon CloudSearch - Managed search service 00:16:20
Amazon EMR 00:11:05
Amazon Elasticsearch Service 00:11:36
Amazon Kinesis - Data Streams - Visualizing Web Traffic Using Amazon Kinesis Data Streams 00:23:56
Amazon Kinesis - Data Streams using AWS CLI 00:08:40
Amazon Redshift - Data warehousing 00:23:46
Amazon QuickSight - Business Analytics Intelligence Service 00:14:51
Amazon Data Pipeline - Automate data movement 00:18:36
and Amazon Glue, Data Lakes
Who is the target audience?
This course addresses basic to advanced concepts.