- Instructor-led Classroom-based & Live Virtual Online Training
- Hands-on Training
- Free Study Material
- Lab Exercises
- Unlimited Lab Access
- 100 % Passing Guarantee or Free Re-training
- Fast Track
Duration: 5 days
- Slow Track
Days: Saturdays / Sundays / Evenings
Duration: 5 Weeks
- Classroom / On-site
- Live Virtual
AWS SYSOPS ASSOCIATE TRAINING
For More information call us on
0208 123 7574
Data Science is an arena of reconstructing unstructured data to a structured model and confer it into knowledge. There are several tools and programming languages that are used in this process, and R is one such effective and required programming language for this purpose. Data Science R Training is one such training program that will help you to learn R Programming for Data Science from basic to advance level.
This training program will let you learn how to use variables, matrix, functions and other models of R programming required for Data Science. At advance level, you learn to use R programming language in collaboration of Machine learning algorithm for Data Science.
- This course has no specific prerequisites.
- Fundamental knowledge in any high-level programming language (preferably R) is ideal but not required.
- Basic knowledge of statistics would be considered as an added advantage.
- Basic knowledge of computer hardware and software is ideal but not required.
What will you gain after this course
- Through this course, you can stay on top of others in the talent race.
- You will be recognized as a professional Data Scientist.
- You will be recognized as an R Programmer, as well.
- With the help of this course, you will be recognized as a Business intelligence (BI) expert.
- Create and maintain metrics and alarms utilizing AWS monitoring services
- Recognize and differentiate performance and availability metrics
- Perform the steps necessary to remediate based on performance and availability metrics
- Implement scalability and elasticity based on use case
- Recognize and differentiate highly available and resilient environments on AWS
- Identify and execute steps required to provision cloud resources
- Identify and remediate deployment issues
- Create and manage data retention
- Identify and implement data protection, encryption, and capacity planning needs
- Implement and manage security policies on AWS
- Implement access controls when using AWS
- Differentiate between the roles and responsibility within the shared responsibility model
- Apply AWS networking features
- Implement connectivity services of AWS
- Gather and interpret relevant information for network troubleshooting
- Use AWS services and features to manage and assess resource utilization
- Employ cost-optimization strategies for efficient resource utilization
- Automate manual or repeatable process to minimize management overhead
Benefits of a SAP Certification
- Gain a highly recognised, on-demand accreditation of excellence
- Differentiate yourself in a crowded market
- Execute tasks with confidence and skills
- Attain higher wages and billable rates with a highly valued credential
Dates And Prices
|Start Date||Timing||Days||Duration||Mode Of Training||Request Price/Future Dates|
|10/10/2021||10:00 – 18:00||Sunday Only||5 Weeks||Classroom Based / Live Virtual Online (Flexible schedule)|
|11/10/2021||10:00 – 18:00||Monday-Friday||5 Days||Classroom Based / Live Virtual Online|
|31/10/2021||10:00 – 18:00||Sunday Only||5 Weeks||Classroom Based / Live Virtual Online|
|06/11/2021||10:00 – 18:00||Saturday Only||5 Weeks||Classroom Based / Live Virtual Online|
|08/11/2021||10:00 – 18:00||Monday-Friday||5 Days||Classroom Based / Live Virtual Online|
|06/12/2021||10:00 – 18:00||Monday-Friday||5 Days||Classroom Based / Live Virtual Online|
|27/12/2021||10:00 – 18:00||Monday-Friday||5 Days||Classroom Based / Live Virtual Online|
|03/01/2022||10:00 – 18:00||Monday-Friday||5 Days||Classroom Based / Live Virtual Online|
|10/01/2022||10:00 – 18:00||Monday/Friday||5 Weeks||Classroom Based / Live Virtual Online|
|15/01/2022||10:00 – 18:00||Saturday Only||5 Weeks||Classroom Based / Live Virtual Online|
|23/01/2022||10:00 – 18:00||Sunday Only||5 Weeks||Classroom Based / Live Virtual Online|
|07/02/2022||10:00 – 18:00||Monday-Friday||5 Days||Classroom Based / Live Virtual Online|
|19/02/2022||10:00 – 18:00||Saturday Only||5 Weeks||Classroom Based / Live Virtual Online|