Analytics Engineering Bootcamp

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Certificate

Paid

Language

Level

Beginner

Last updated on September 8, 2024 5:08 am

Learn all the skills needed to become an Analytics Engineer. Gain in-depth understanding of data modeling techniques and build a Data Warehouse from scratch. Boost your resume with in-demand skills.

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Learn all the skill sets that is required to become an Analytics EngineerIn-depth understanding of data modelling techniquesAbility to participate in architectural decision making and be able to create oneData modelling techniques using DBTLearn hands-on skills required to build a Data Warehouse from scratchBoost your resume with most in-demand Analytics Engineer skillsDesign Implement a data warehouseCreate Data Warehouse ArchitectureDesign Conceptual, Logical Physical ModelsLearn various modelling methodologies (Inmon, Kimball, Data Vault, OBT)Apply principles of dimensional data modeling in a hands-onLearn all the concepts and terms such as the OLTP, OLAP, Facts, Dimensions, Star Schema, Snowflake SchemaShow moreShow lessWelcome to the Analytics Engineering Bootcamp course. the only course you need to become an amazing Analytics Engineer.This complete Analytics Engineering Bootcamp will take you step-by-step through engaging and fun lectures and teach you everything you need to know on how to succeed as an Analytics Engineer. Throughout this course you’ll get an in depth insight into all the various tools, technologies and modelling concepts.Students will learn how to design and implement a Data Warehouse solution using DBT BigQuery.Each section contains scenario based quiz questions that help solidify key learning objectives for each concept theory..By the end of the course, you’ll learn and get really good understanding of:Differences between database and a data warehouseConcepts between OLTP OLAP systemsNormalisation De-Normalisation methodsData Modelling methodologies such as (Inmon, Kimball, Data Vault OBT)Difference between ETL ELTData modelling techniques especially using dbtHands-on experience building dimensional data warehouseWho this course is for:Data Analyst, BI Analysts or Data Warehouse developers who are looking to become Analytics Engineers or looking to improve existing skillsFor data professionals who wants to get a refresher on all the concepts and terms surrounding OLTP OLAP systemsStudents or recent graduates who are looking to get a job as an Analytics EngineerAnyone who is interested in Analytics Engineer Career PathWho this course is for:Anyone who is interested in becoming an Analytics EngineerAnyone who want’s to understand more about data modelling and data transformation

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