×

IBM: Data Engineering Capstone Project

Add to wishlistAdded to wishlistRemoved from wishlist 0
Add to compare+
Duration

6 weeks

Pacing

Self-paced

Pricing

Free

IBM: Data Engineering Capstone Project
Category:

This Capstone Project is designed for you to apply and demonstrate your Data Engineering skills and knowledge in SQL, NoSQL, RDBMS, Bash, Python, ETL, Data Warehousing, BI tools and Big Data.

Add your review

About this course

In this Capstone you’ll demonstrate your ability to perform like a Data Engineer. Your mission is to design, implement, and manage a complete data and analytics platform consisting of relational and non-relational databases, data warehouses, data pipelines, big data processing engines, and Business Intelligence (BI) tools.
This Capstone project will require that you apply and sharpen the skills and knowledge you developed in the various courses in the IBM Data Engineering Professional Certificate and utilize multiple tools and technologies to design databases, collect data from multiple sources, extract, transform and load data into a data warehouse, and utilize a cloud-based BI tool to create analytic reports and visualizations. You will also implement predictive analytics and machine learning models using big data tools and techniques.
This capstone requires significant amount of hands-on lab effort throughout the course. You’ll exhibit your knowledge and proficiency working with Python, Bash scripts, SQL, NoSQL, RDBMSes, ETL, MySQL, PostgreSQL, Db2, MongoDB, Apache Airflow, Apache Spark, and Cognos Analytics.
Upon successfully completing this Capstone, you should have the confidence and portfolio to take on real-world data engineering projects and showcase your abilities to perform as an entry-level data engineer.

At a Glance:
Institution: IBM
Subject: Computer Science
Level: Introductory
Prerequisites:
None
Associated programs:
Professional Certificate in Data Engineering
Language: English
Video Transcript: English
Associated skills:Extract Transform Load (ETL), Relational Databases, Python (Programming Language), Business Intelligence, Big Data, Relational Database Management Systems, MongoDB, PostgreSQL, IBM DB2, SQL (Programming Language), Data Collection, MySQL, Machine Learning, NoSQL, Data Engineering, Apache Spark, Apache Airflow, Predictive Analytics, Data Warehousing, Bash (Scripting Language)

What You’ll Learn:
About this course

In this Capstone you’ll demonstrate your ability to perform like a Data Engineer. Your mission is to design, implement, and manage a complete data and analytics platform consisting of relational and non-relational databases, data warehouses, data pipelines, big data processing engines, and Business Intelligence (BI) tools.
This Capstone project will require that you apply and sharpen the skills and knowledge you developed in the various courses in the IBM Data Engineering Professional Certificate and utilize multiple tools and technologies to design databases, collect data from multiple sources, extract, transform and load data into a data warehouse, and utilize a cloud-based BI tool to create analytic reports and visualizations. You will also implement predictive analytics and machine learning models using big data tools and techniques.
This capstone requires significant amount of hands-on lab effort throughout the course. You’ll exhibit your knowledge and proficiency working with Python, Bash scripts, SQL, NoSQL, RDBMSes, ETL, MySQL, PostgreSQL, Db2, MongoDB, Apache Airflow, Apache Spark, and Cognos Analytics.
Upon successfully completing this Capstone, you should have the confidence and portfolio to take on real-world data engineering projects and showcase your abilities to perform as an entry-level data engineer.

User Reviews

0.0 out of 5
0
0
0
0
0
Write a review

There are no reviews yet.

Be the first to review “IBM: Data Engineering Capstone Project”

Your email address will not be published. Required fields are marked *

IBM: Data Engineering Capstone Project
IBM: Data Engineering Capstone Project
Edcroma
Logo
Compare items
  • Total (0)
Compare
0
https://login.stikeselisabethmedan.ac.id/produtcs/
https://hakim.pa-bangil.go.id/
https://lowongan.mpi-indonesia.co.id/toto-slot/
https://cctv.sikkakab.go.id/
https://hakim.pa-bangil.go.id/products/
https://penerimaan.uinbanten.ac.id/
https://ssip.undar.ac.id/
https://putusan.pta-jakarta.go.id/
https://tekno88s.com/
https://majalah4dl.com/
https://nana16.shop/
https://thamuz12.shop/
https://dprd.sumbatimurkab.go.id/slot777/
https://dprd.sumbatimurkab.go.id/
https://cctv.sikkakab.go.id/slot-777/
https://hakim.pa-kuningan.go.id/
https://hakim.pa-kuningan.go.id/slot-gacor/
https://thamuz11.shop/
https://thamuz15.shop/
https://thamuz14.shop/
https://ppdb.smtimakassar.sch.id/
https://ppdb.smtimakassar.sch.id/slot-gacor/
slot777
slot dana
majalah4d
slot thailand
slot dana
rtp slot
toto slot
slot toto
toto4d
slot gacor
slot toto
toto slot
toto4d
slot gacor
tekno88
https://lowongan.mpi-indonesia.co.id/
https://thamuz13.shop/
https://www.alpha13.shop/
https://perpustakaan.smkpgri1mejayan.sch.id/
https://perpustakaan.smkpgri1mejayan.sch.id/toto-slot/
https://nana44.shop/
https://sadps.pa-negara.go.id/
https://sadps.pa-negara.go.id/slot-777/
https://peng.pn-baturaja.go.id/
https://portalkan.undar.ac.id/
https://portalkan.undar.ac.id/toto-slot/
https://penerimaan.ieu.ac.id/
https://sid.stikesbcm.ac.id/