Showcase your skills in this Data Engineering project! In this course you will apply a variety of data engineering skills and techniques you have learned as part of the previous courses in the IBM Data Engineering Professional Certificate.
Data Engineering Capstone Project
Data Engineering Capstone Project
This course is part of IBM Data Engineering Professional Certificate
Instructors: Rav Ahuja
15,541 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.7
(119 reviews)
Advanced level
Recommended experience
17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Demonstrate proficiency in skills required for an entry-level data engineering role.
Design and implement various concepts and components in the data engineering lifecycle such as data repositories.
Showcase working knowledge with relational databases, NoSQL data stores, big data engines, data warehouses, and data pipelines.
Apply skills in Linux shell scripting, SQL, and Python programming languages to Data Engineering problems.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
14 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your Data Management expertise
This course is part of the IBM Data Engineering Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from IBM
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 7 modules in this course
In this module, you will design a data platform that uses MySQL as an OLTP database. You will be using MySQL to store the OLTP data.
What's included
2 videos2 assignments1 app item2 plugins
In this module, you will design a data platform that uses MongoDB as a NoSQL database. You will use MongoDB to store the e-commerce catalog data.
What's included
1 video2 assignments1 app item
In this module you will design and implement a data warehouse and you will then generate reports from the data in the data warehouse.
What's included
2 videos1 reading3 assignments3 app items1 plugin
In this module, you will assume the role of a data engineer at an e-commerce company. Your company has finished setting up a data warehouse. Now you are assigned the responsibility to design a reporting dashboard that reflects the key metrics of the business.
What's included
1 video5 readings2 assignments5 plugins
In this module, you will use the given python script to perform various ETL operations that move data from RDBMS to NoSQL, NoSQL to RDBMS, and from RDBMS, NoSQL to the data warehouse. You will write a pipeline that analyzes the web server log file, extracts the required lines and fields, transforms and loads data.
What's included
2 videos3 assignments2 app items
In this module, you will use the data from a webserver to analyse search terms. You will then load a pretrained sales forecasting model and predict the sales forecast for a future year.
What's included
1 video2 assignments2 app items
In this final module you will complete your submission of screenshots from the hands-on labs for your peers to review. Once you have completed your submission you will then review the submission of one of your peers and grade their submission.
What's included
2 readings1 peer review
Instructors
Instructor ratings
4.5 (30 ratings)Offered by
Recommended if you're interested in Data Management
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4.7
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Showing 3 of 119
BB
5
Reviewed on Aug 13, 2023
Great course to learn the fundamentals to become a very good Data Engineer !
RV
5
Reviewed on Mar 9, 2024
The Capstone was a bit of an anticlimax. I was expecting a very challenging Capstone, but found a "follow the instructions" approach which made it seem too simple. I'm not complaining ;-)
RS
5
Reviewed on Mar 17, 2023
I enjoyed having to go back and revise the other courses in the specialization. I had forgotten how interesting they were.
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