IBM
Data Engineering Capstone Project
IBM

Data Engineering Capstone Project

Rav Ahuja
Ramesh Sannareddy

Instructors: Rav Ahuja

Sponsored by University of Texas at Austin

13,698 already enrolled

Gain insight into a topic and learn the fundamentals.
4.7

(109 reviews)

Advanced level

Recommended experience

16 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.7

(109 reviews)

Advanced level

Recommended experience

16 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.

Details to know

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Add to your LinkedIn profile

Assessments

2 quizzes, 12 assignments

Taught in English

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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
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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 reading1 quiz2 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 videos1 quiz2 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 (29 ratings)
Rav Ahuja
IBM
52 Courses3,032,231 learners
Ramesh Sannareddy
IBM
12 Courses326,150 learners

Offered by

IBM

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4.7

109 reviews

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RV
5

Reviewed on Mar 9, 2024

RS
5

Reviewed on Mar 17, 2023

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