Booking options
Β£25
Β£25
On-Demand course
5 hours 32 minutes
All levels
Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step training course. This Data Manager has been specially designed to help learners gain a good command of Data Manager, providing them with a solid foundation of knowledge to become a qualified professional.
Through this Data Manager, you will gain both practical and theoretical understanding of Data Manager that will increase your employability in this field, help you stand out from the competition and boost your earning potential in no time.
Not only that, but this training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. This qualification is fully accredited, broken down into several manageable modules, ideal for aspiring professionals.
Familiar yourself with the recent development and updates of the relevant industry
Know how to use your theoretical knowledge to adapt in any working environment
Get help from our expert tutors anytime you need
Access to course contents that are designed and prepared by industry professionals
Study at your convenient time and from wherever you want
Affordable premium-quality E-learning content, you can learn at your own pace.
You will receive a completion certificate upon completing the course.
Internationally recognized Accredited Qualification will boost up your resume.
You will learn the researched and proven approach adopted by successful people to transform their careers.
You will be able to incorporate various techniques successfully and understand your customers better.
No formal qualifications required, anyone from any academic background can take this course.
Access to a computer or digital device with internet connectivity.
Module 01: Introduction to Data Management | |||
Introduction to Data Management | π 00:10:00 | ||
Module 02: Data Management Systems and Approaches | |||
Data Management Systems and Approaches | π 00:50:00 | ||
Module 03: Data Modeling Using Entity-Relationship Approach | |||
Data Modeling Using Entity-Relationship Approach | π 00:45:00 | ||
Module 04: SQL | |||
SQL | π 00:30:00 | ||
Module 05: Query Processing | |||
Query Processing | π 00:50:00 | ||
Module 06: Database Recovery Techniques | |||
Database Recovery Techniques | π 00:20:00 | ||
Module 07: Distributed Databases and Client-Server Architectures | |||
Distributed Databases and Client-Server Architectures | π 00:40:00 | ||
Module 08: Data Validation Rules to Prevent Bad Data Entry | |||
βΆ | Data Validation Rules to Prevent Bad Data Entry | π 00:09:00 | |
Module 09: The Incredible Flash Fill Tool | |||
βΆ | The Incredible Flash Fill Tool | π 00:08:00 | |
Module 10: Data Table - Test Multiple Values Impact on a Formula Result | |||
βΆ | Data Table - Test Multiple Values Impact on a Formula Result | π 00:07:00 | |
Module 11: GDPR Basics | |||
βΆ | GDPR Basics | π 00:20:00 | |
Module 12: GDPR Explained | |||
βΆ | GDPR Explained | π 00:16:00 | |
Module 13: Responsibilities and Obligations | |||
βΆ | Responsibilities and Obligations | π 00:26:00 |
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