Cloud Computing for Data Analysis

IBM’s Cloud Computing for Data Analysis course explains the principles of cloud computing and shows how big datasets may be processed, stored, and analyzed using cloud technology. Cloud service models, cloud-based data analytics tools, scalable data processing, and real-world IBM Cloud applications are all covered in the course. Through practical laboratories, students learn how to use cloud platforms to create effective workflows for data analysis and address real-world business issues. (Note: As part of its cloud and data learning routes, IBM presently provides this content.)

• Provider/Creator: IBM
• Platform: Coursera
• Category: Cloud Infrastructure & Data Architecture
• Level: Beginner
• Duration: Approx. 10 hours
• Certificate: Yes
• Rating: 4.5/5
• Direct Course Link: Cloud Computing for Data Analysis
• Recommended For:
  • Perfect for novices and future data engineers, analysts, and cloud experts.
  • Although not required, a basic understanding of Python or data analysis is beneficial.
  • Before studying more complex subjects like Big Data, Apache Spark, Hadoop, or cloud data engineering, finish this course.
  • To improve your comprehension of cloud-based analytics and IBM Cloud services, practice the practical labs.