Supercharge Accountants with Analytics
Description
If you have read my voice to you “From One Accoutant to Another”, this flagship course follows the exact spirits and presents as a comprehensive yet beginner-friendly introduction for modern data analytics, designed by accountant, for accountants.
This course offers hands-on data analytical experiences to complete a few end-to-end data projects. Together through popular tool stack in R/Python, we will develop high-value skillsets to improve real-life accounting tasks such as professional data visualization, dashboard design, automation, and working with relational databases. We will also cultivate analytics professional mindset. As a bonus, we will explore modern data platforms through Microsoft Fabric and see where AI could take us. This is a beginner-friendly environment for accountants and their management who strive to stay relevant with analytics/AI world.
💡If either the time commitment or you would prefer a deep-dive on a specific topic, please head to “in-depth Sessions” section.
Length
R: 24 hours.
Python: 26 hours.
Key Takeaways
Upon completion of this course, you will understand:
- Introduction to R/Python, and how to productively set up the powerful open-source tools for projects
- Using R/Python to conduct data processing and create desired data outputs
- Understanding a framework and design thinking for professional data visualization
- Introduction to relational databases, SQL and server-client computing
- Development and application of analytics engineering mindset
- Understanding key components to modecrn data platform through one of the most popular option, Microsoft Fabric
- Navigating the Analytics Landscape: Understand the current trends in analytics and data technology, along with foundational concepts of cloud computing and impact of AI.
Target Audience
This course appeals to several demographics:
Analysts, especially who
have access to detailed data through databases and seek opportunities to improve work life through automation
advance skills in or pivot toward data analytics speace;
Managers, especially who
seek inspirations to improve team’s productivity with limited budget,
want to stay relevant with staff who possess analytics skillsets, or
lead modernization projects with analytics
Prerequisite(s)
No previous programming knowledge required. This is beginner friendly session.
To fully engage in this course, please ensure you have access to a PC and are prepared to install the necessary open-source tools prior to the seminar. This will allow you to follow along with the hands-on exercises and make the most of the learning experience.