AWS Big Data Analytics Online Training – CORPORATE TRAINING ONLY
All course fees are in USD)
In this AWS Big Data certification course, you will become familiar with the concepts of cloud computing and its deployment models. This AWS Big Data training covers Amazon’s AWS cloud platform, Kinesis Analytics, AWS big data storage, processing, analysis, visualization and security services, machine learning algorithms, and much more.
Offered in partnership with
- Blended learning, with both self-paced learning, and online virtual classes
- Course duration: 6 months
- Real-life industry-based projects
- Flexibility to choose classes
- Live online virtual classes from our industry experts
Skills to be Learned
- AWS Quicksight
- Kinesis streams
- AWS Lambda and Glue
- s3 and DynamoDB
- Amazon RDS
- Hive on EMR
- HBase with EMR
- AWS Aurora
Award upon Successful Completion
AWS Data Analytics Certification Training “Certificate of Achievement”
This online course would prepare you for Amazon AWS Certified Data Analytics – Specialty (DAS-C01) exam. For details, pls click here:
AWS Certified Data Analytics – Specialty Certification (amazon.com)
When you complete this AWS Big Data Certification – Online Training, you will be able to:
- Understand how to use Amazon EMR for processing the data using Hadoop ecosystem tools
- Understand how to use Amazon Kinesis for big data processing in real-time
- Analyze and transform big data using Kinesis Streams
- Visualize data and perform queries using Amazon QuickSight
- Completion of the online course
- Attendance of live virtual classes
- Score of at least 80% on course-end assessment(s)
- Successful evaluation of the course-end projects
- Project – RealTime Analytics on Streaming Data with Amazon Kinesis and Amazon Elasticsearch Service
Assist Facebook to do a continuous monitoring system to detect sentiment changes in a social media feed to react to the sentiment in near real time.
- Project – Real Time Analytics on Streaming Data
Use the big data stack for data engineering to analyze a stream of data coming from IoT temperature sensor devices in real time.
- Project – Transactional Data Analysis
Use the big data stack for data engineering for analysis of transactions, share patterns and actionable insights.
Who Should Enrol
- Data scientists
- Data engineers
- Solutions architects
- Data analysts
Basic knowledge of AWS technical essentials and a fair understanding of big data and Hadoop concepts.
Lesson 1 – Introduction
Lesson 2 – Domain 01 – Collection
Lesson 3 – Domain 02 – Storage
Lesson 4 – Domain 03 – Processing
Lesson 5 – Domain 04 – Analysis
Lesson 6 – Domain 05 – Visualization
Lesson 7 – Domain 06 – Security
Lesson 8 – Everything Else
Lesson 9 – Preparing for the Exam
Lesson 10 – Appendix – Machine Learning
Lesson 11 – Wrapping Up
Ronald van Loon
CEO, Principal Analyst Intelligent World,Top10 AI-Data-IoT-Influencer
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.
Access Period of Course
1 year from date of enrolment
IIM Bangalore, Executive Management
…. prepared me with the skills to get ahead in my career. The course helped me to enhance my career from Senior Associate to Program Operations Manager at Sapient within 1 year of completing the course.
Associate at Cognizant
….. Just 1 month of course along with sufficient practice landed me a job in a Top IT MNC. I never thought an experienced person can start as fresher in Bigdata, but … made it happen. Thank you.
Md Azhar Hussain
This platform has enhanced my knowledge of big data and provided me the opportunity to work with experienced industry professionals. I appreciate the tutor’s in-depth knowledge and, the help and support provided….. After the certification, I was able to grab a role change.
Course fee quoted is for learner. For Corporate Training, minimum class size of 50 learners.
- Students 0 student
- Max Students1000000
- Duration24 week
- Skill levelall
- Re-take course10000
Lesson 1 - Introduction
Lesson 2 - Domain 01 - Collection
Lesson 3 - Domain 02 - Storage
Lesson 4 - Domain 03 - Processing
Lesson 5 - Domain 04 - Analysis
Lesson 6 - Domain 05 - Visualization
Lesson 7 - Domain 06 - Security
Lesson 8 - Everything Else
Lesson 9 - Preparing for the Exam
Lesson 10 - Appendix - Machine Learning
Lesson 11 - Wrapping Up