Data Processing Practice Exam

Data Processing

About Data Processing

Data processing is the act of gathering and modifying digital data to create useful information. Information processing, which is the alteration of information in any way that can be observed by a third party, includes data processing.

Data Processing has gained immense popularity across the globe resulting in huge demand for certified professionals.

Why is Data Processing important?

For businesses to improve their business strategy and gain a competitive edge, data processing is crucial. Employees across the company can comprehend and use the data by turning it into usable representations like graphs, charts, and texts.

Data Processing certified professionals, executives and managers are in high demand in companies across the globe.

Who should take the Data Processing Exam?

• Supervisors
• Project Managers
• Managers
• Analyst
• Programmers
• Consultants
• IT Professionals

Knowledge and Skills required for the Data Processing

Critical thinking and communication skills helps candidate to gain quick success for career in data processing.

Data Processing Practice Exam Objectives

Data Processing exam focuses on assessing your skills and knowledge in data analysis and processing.

Data Processing Practice Exam Pre-requisite

There are no prerequisites for the Data Processing exam. Candidates who are well versed  in data analysis and processing can easily clear the exam.

Data Processing Certification Course Outline

1. Introduction to Data Products
2. Reading Data in Python
3. Data Processing in Python
4. Python Libraries and Toolkits

Exam Format and Information

Certification name – Certificate in Data Processing
Exam duration – 60 minutes
Exam type - Multiple Choice Questions
Eligibility / pre-requisite - None
Exam language - English
Exam format - Online
Passing score - 25
Exam Fees  - INR 1199