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Coursera 4.3 (9)
Overview
You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.
The IBM Data Engineering course is offered by Coursera in partnership with IBM.
What you'll learn
Master the most up-to-date practical skills and tools that full stack developers use in their daily roles
Learn how to deploy and scale applications using Cloud Native methodologies and tools such as Containers, Kubernetes, Microservices, and Serverless
Develop software with front-end development languages and tools such as HTML, CSS, JavaScript, React, and Bootstrap
Build your GitHub portfolio by applying your skills to multiple labs and hands-on projects, including a capstone
Skills you'll gain
- Git (Software)
- Cloud Applications
- HTML
- Cloud Computing
- Distributed Version Control (DRCS)
- open source
- JavaScript
- Hybrid Multicloud
- Devops
- Cascading Style Sheets (CSS)
- Iaas PaaS Saas
Prepare for a career in Cloud Application Development
- Receive professional-level training from IBM
- Demonstrate your proficiency in portfolio-ready projects
- Earn an employer-recognized certificate from IBM
- Qualify for in-demand job titles: Application Developer, Cloud Application Developer
You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.
Get more details
Visit programme websiteProgramme Structure
Courses included:
- Introduction to Data Engineering
- Python for Data Science, AI & Development
- Python Project for Data Engineering
- Databases and SQL for Data Science with Python
- Hands-on Introduction to Linux Commands and Shell Scripting
- Relational Database Administration (DBA)
- ETL and Data Pipelines with Shell, Airflow and Kafka
- Getting Started with Data Warehousing and BI Analytics
- Introduction to NoSQL Databases
- Introduction to Big Data with Spark and Hadoop
- Machine Learning with Apache Spark
- Data Engineering Capstone Project
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 5 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Data Science & Big Data Data Analytics View 592 other Short Courses in Data Science & Big Data in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- No prior experience required
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 5 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 5 months.
You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus and have unlimited access
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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