IBM Data Engineering Professional Certificate
Gain practical skills in relational and NoSQL databases, Big Data tools, and data pipelines for comprehensive data engineering tasks.
Data Science,Data Analysis,Python Programming,ETL & Data Pipelines,NoSQL and Big Data,SQL,Apache Spark,Database (DBMS),Systems (RDBMS),Relational Database Management Systems (RDBMS)
Description for IBM Data Engineering Professional Certificate
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by IBM
Duration: 5 months; Approx. 10 hours a week
Schedule: Flexible
Pricing for IBM Data Engineering Professional Certificate
Use Cases for IBM Data Engineering Professional Certificate
FAQs for IBM Data Engineering Professional Certificate
Reviews for IBM Data Engineering Professional Certificate
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Featured Tools
This learning path provides a thorough overview of generative AI. This specialization delves into the ethical considerations that are essential for the responsible development and deployment of AI, as well as the foundations of large language models (LLMs) and their diverse applications.
Enhance your Product Manager career with Gen AI. Boost your Product Manager career in under two months by developing hands-on, in-demand generative AI skills. No prior experience is required to initiate the process.
Explore the transformative impact of generative AI on businesses and careers, and its potential to enhance productivity across various sectors.
Improve your cybersecurity career by incorporating AI. In three months or less, acquire the necessary credentials for your cybersecurity profession and develop in-demand generative AI skills. There is no prerequisite for a degree or prior experience.
Explore the fundamentals, applications, ethical implications, and future trends of generative AI in human resources.