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Mastering Business Intelligence with Amazon Web Services (AWS) Training Course

Mastering Business Intelligence with Amazon Web Services (AWS) Training Course

Gain the skills you need to advance your career. This course offers hands-on learning, expert guidance, and real-world applications designed to help you grow.

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01

Course Overview

Course Summary

No summary details available for this course.

Course Overview

This 5-day intensive course offered by T4D offers a comprehensive guide to leveraging Amazon Web Services (AWS) for advanced business intelligence. Participants will gain hands-on experience with AWS tools to perform data analysis, create visualizations, and drive actionable insights. The course focuses on practical applications, providing attendees with the skills to utilize AWS for robust data management and business intelligence solutions.

Duration

5 days

Target Audience

  • Business intelligence professionals
  • Data analysts and data scientists
  • IT and data management specialists
  • Business executives and decision-makers
  • AWS users seeking advanced BI skills

Personal Impact

  • Acquire expertise in AWS BI tools for data analysis and visualization
  • Enhance ability to create and manage advanced reports and dashboards
  • Improve skills in leveraging AWS for data-driven decision-making

Organizational Impact

  • Optimize the use of AWS tools for business intelligence and reporting
  • Enhance organizational capabilities in data visualization and analysis
  • Drive better decision-making with comprehensive AWS data insights

Course Objectives

  • Master advanced AWS tools for business intelligence
  • Develop skills in creating dynamic dashboards and reports using AWS
  • Perform complex data analysis and visualization with AWS services
  • Implement best practices for AWS BI tool utilization
  • Apply practical knowledge through exercises and real-world case studies
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Course Modules

Course Outline

Module 1: Introduction to AWS for Business Intelligence

  • Overview of AWS BI tools and architecture
  • Navigating AWS interfaces and features
  • Understanding AWS data services and integrations
  • Case Study: Implementing AWS BI Tools in a Retail Environment

Module 2: Data Integration and Preparation in AWS

  • Connecting AWS BI tools to various data sources
  • Performing data extraction, transformation, and loading (ETL)
  • Managing and ensuring data quality in AWS
  • Case Study: Data Preparation for a Marketing Campaign

Module 3: Advanced Reporting and Dashboard Creation

  • Designing and creating interactive dashboards with AWS QuickSight
  • Utilizing AWS tools for advanced reporting and visualization
  • Customizing reports and visualizations for different business needs
  • Case Study: Building a Sales Performance Dashboard

Module 4: Data Analysis and Insights with AWS

  • Performing advanced data analysis using AWS analytics services
  • Implementing machine learning and predictive analytics with AWS
  • Analyzing complex data sets and deriving actionable insights
  • Case Study: Predictive Analytics for Customer Retention

Module 5: Best Practices and Case Studies

  • Implementing best practices for AWS BI tool deployment and performance
  • Reviewing real-world case studies and practical applications
  • Developing and presenting a comprehensive AWS BI project
  • Case Study: Successful AWS BI Implementation in a Financial Institution
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Course Administration

Methodology

This instructor-led training course is delivered using a blended learning approach comprising presentations, guided practical sessions, web-based tutorials, and group work.

Accreditation

Participants will receive a Tech For Development Certificate of Course Completion.

Training Venue

Held at the Tech For Development Training Centre.

Accommodation & Airport Transfer

Arranged upon request.
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179

Tailor-Made

Customised training available.

Payment

Send proof of payment to letstalk@techfordevelopment.com.

2026 Schedules

Date & Location Cost

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