Data Analytics Fundamentals

Complete and detailed coverage of the essentials - 1-Day hands-on training

Tuition: $795 (Early Bird Discount by JAN 9: $100 OFF | 4+ Group Discount: $500+ OFF)

In this instructor-led course, you will learn about the process for planning data analysis solutions and the various data analytic processes that are involved. This course takes you through five key factors that indicate the need for specific AWS services in collecting, processing, analyzing, and presenting your data. This includes learning basic architectures, value propositions, and potential use cases. The course introduces you to the AWS services and solutions to help you build and enhance data analysis solutions.

After taking this course, you will learn through hands-on drills and examples about:

Identifying data analytics challenges
Data storage and the challenges of volume
Data processing and the challenges of velocity
Data structure and types, and the challenges of variety
Data cleansing and transformation, and the challenges of veracity
Reporting and business intelligence, and the challenges of value

The Amazon Web Services (AWS) services covered in this course include Amazon Simple Storage Service (Amazon S3), AWS Lake Formation, Amazon Redshift, AWS Glue, Amazon EMR, Amazon Kinesis, and many more.

This course is for data architects, data scientists, and data analysts.
Prerequisites: instructor will fill in gaps when necessary and provide a quick review of concepts, however we recommend that attendees of this course have the following background.

Working knowledge of database concepts
Basic understanding of data storage, processing, and analytics
Experience with enterprise IT systems

Outline

Topics are covered in the order they appear, however some jumping back-and-forth is necessary to explore relevant topics at the time they are first encountered. Below is a list of topics that will be covered by module:

Lesson 1: Introduction to data analysis solutions
- Data analytics and data analysis concepts
- Introduction to the challenges of data analytics
Lesson 2: Volume – data storage
- Introduction to Amazon S3
- Introduction to data lakes
- Introduction to data storage methods
Lesson 3: Velocity – data processing
- Introduction to data processing methods
- Introduction to batch data processing
- Introduction to stream data processing
Lesson 4: Variety – data structure and types
- Introduction to source data storage
- Introduction to structured data stores
- Introduction to semi-structured and unstructured data stores
Lesson 5: Veracity – cleansing and transformation
- Understanding data integrity
- Understanding database consistency
- Introduction to the ETL process
Lesson 6: Value – reporting and business intelligence
- Introduction to analyzing data
- Introduction to visualizing data
Lesson 7: Key Takeaways
- Putting the pieces together
- What’s next

Amazon Web Services and AWS are trademarks of Amazon.com, Inc. or its affiliates in the United States and/or other countries.

This course is compatible with AWS official curriculum.

Net Cirque is an AWS Consulting Partner.

Data Analytics Fundamentals [for Data Analysts] with DataBrew