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AI, Technology & Innovation

Excel and Python: A Tale of Two Powerful Tools (LIve Webinar)

DELIVERY FORMAT
Online Virtual
SEMINAR TYPE
PD Seminar
REQUIRED
See note on technical requirements needed
NEW SEMINAR

Overview

Microsoft Excel dynamic array functions and Python in Excel are both very powerful tools. This seminar offers a hands-on lab-style learning environment.

Technical Requirements

Because Python does not run natively inside Excel, a brief setup is required to ensure a smooth experience. This workshop is designed as a beginner-friendly, live seminar and hands-on lab. To follow along effectively, participants will need the tools installed in advance so we can focus our time on the core material.


Please ensure all of the technical requirements are completed before joining the session.

  • Personal laptop. Windows is preferred, as demonstrations will be done on Windows.
    • Why personal? Company-managed devices often restrict software installation, which may prevent required setup.
  • Microsoft Excel (Microsoft 365 version) signed in with a personal Microsoft account. (see how-to)
    • Preferably desktop app
    • Alternatively, Excel Online (via Microsoft Account, see “2”)
    • Why personal? Organizational accounts often block add-ins needed for this workshop.
  • Anaconda Code and Anaconda Toolbox, signed in with an Anaconda Account (see how-to

Course Description

We will complete a series of advanced data processing and data visualization tasks that require Microsoft Excel’s dynamic array functions and Python in Excel. This doubles as a quick and basic introduction to Python for data analytics to beginners. We will end our journey with a practical understanding how to consciously choose between dynamic array functions and Python in Excel. Bonus knowledge include the current analytics landscape, how to advance learning and problem-solving analytics with Python.

Applicable for

This seminar will benefit the following groups:

  • Analyst(s) who works with detailed data and is frequently tasked with generating accounting reports or visualizations for recurring or ad-hoc analysis.
  • Manager(s) who seeks inspiration and opportunities to increase their team’s reporting productivity with Microsoft Excel, or who aims to enhance their knowledge and literacy to navigate change management as their staff begin to utilize these tools in their domain of work.

Content

  • Learn dynamic array functions in Microsoft Excel.
  • Utilize dynamic array functions to process, manage, and perform advanced operations on data in Excel.
  • Explore Python and its integration with Excel. Discover Python for data analysis and data visualization.
  • Apply Python in Excel to tackle data processing and data visualization tasks.
  • Understand the potential, impact and trade-off of using Python in Excel.
  • Understand the current analytics landscape, data technology landscape, and basic concepts of cloud computing.

Course Dates & Registration

Aug 7, 2026
8:30AM - 4:30PM
Online Virtual
Jianyuan (Andy) Hu
Jianyuan(Andy) Hu has over 10 years of combined experience in accounting, financial planning, and analytics engineering. Andy is enthusiastic in helping organizations maximize their data and decision-making potential. Andy has proven successful in central accounting/finance, IT financial planning, academic faculty, ERP system migration, and institutional planning. Andy has led various initiatives: building enterprise datastore, implementing enterprise-grade analytics/data visualization, automating business processes and many others. These value-adding projects better assist and inform management at different levels while alleviating reporting burdens. As a CPA since 2020, Andy's educational background encompasses Master of Accountancy and Master of Management Analytics. Andy is also certified as Microsoft Trainer and as Microsoft Fabric Analytics Engineer Associate.
Available

Improving Your Virtual Learning Experience

Live webinars have varying levels of expected interaction, with some requiring microphone and camera capabilities to support a proper learning experience – please email pdreg@bccpa.ca if you have concerns. 

In general, we encourage participants to have their cameras turned on to enhance their virtual learning experience. This practice promotes a stronger connection with the instructor and fellow participants, and fosters improved communication and collaboration.

Live Webinar FAQs can be found here.  

 

Registration terms and conditions, including the cancellation policy can be found here. If you require further assistance, please contact the PD Department. 

Course Details
Cost
$425
Members
$475
Non-Members
Eligible Hours
7
CPD Hours
0
Ethics Hours
0
AML Hours
Passport
10
Credits
Special Notes
This is a hands-on seminar. Please ensure that you have a personal laptop, Microsoft Excel with a personal Microsoft account, and Anaconda Code and Anaconda Toolbox with an account before the seminar begins.
Interested in similar content?

Starting April 1, 2026, a 2.1% fee will be applied to all credit card transactions. Learn more about this fee and how it relates to PD registrations.

AI, Technology & Innovation

Excel and Python: A Tale of Two Powerful Tools (LIve Webinar)

DELIVERY FORMAT
Online Virtual
SEMINAR TYPE
PD Seminar
REQUIRED
See note on technical requirements needed
NEW SEMINAR
Course Details
Cost
$425
Members
$475
Non-Members
Eligible Hours
7
CPD Hours
0
Ethics Hours
0
AML Hours
Passport
10
Credits

Overview

Microsoft Excel dynamic array functions and Python in Excel are both very powerful tools. This seminar offers a hands-on lab-style learning environment.

Technical Requirements

Because Python does not run natively inside Excel, a brief setup is required to ensure a smooth experience. This workshop is designed as a beginner-friendly, live seminar and hands-on lab. To follow along effectively, participants will need the tools installed in advance so we can focus our time on the core material.


Please ensure all of the technical requirements are completed before joining the session.

  • Personal laptop. Windows is preferred, as demonstrations will be done on Windows.
    • Why personal? Company-managed devices often restrict software installation, which may prevent required setup.
  • Microsoft Excel (Microsoft 365 version) signed in with a personal Microsoft account. (see how-to)
    • Preferably desktop app
    • Alternatively, Excel Online (via Microsoft Account, see “2”)
    • Why personal? Organizational accounts often block add-ins needed for this workshop.
  • Anaconda Code and Anaconda Toolbox, signed in with an Anaconda Account (see how-to

Course Description

We will complete a series of advanced data processing and data visualization tasks that require Microsoft Excel’s dynamic array functions and Python in Excel. This doubles as a quick and basic introduction to Python for data analytics to beginners. We will end our journey with a practical understanding how to consciously choose between dynamic array functions and Python in Excel. Bonus knowledge include the current analytics landscape, how to advance learning and problem-solving analytics with Python.

Applicable for

This seminar will benefit the following groups:

  • Analyst(s) who works with detailed data and is frequently tasked with generating accounting reports or visualizations for recurring or ad-hoc analysis.
  • Manager(s) who seeks inspiration and opportunities to increase their team’s reporting productivity with Microsoft Excel, or who aims to enhance their knowledge and literacy to navigate change management as their staff begin to utilize these tools in their domain of work.

Content

  • Learn dynamic array functions in Microsoft Excel.
  • Utilize dynamic array functions to process, manage, and perform advanced operations on data in Excel.
  • Explore Python and its integration with Excel. Discover Python for data analysis and data visualization.
  • Apply Python in Excel to tackle data processing and data visualization tasks.
  • Understand the potential, impact and trade-off of using Python in Excel.
  • Understand the current analytics landscape, data technology landscape, and basic concepts of cloud computing.

Course Dates & Registration

Aug 7, 2026
8:30AM - 4:30PM
Online Virtual
Jianyuan (Andy) Hu
Jianyuan(Andy) Hu has over 10 years of combined experience in accounting, financial planning, and analytics engineering. Andy is enthusiastic in helping organizations maximize their data and decision-making potential. Andy has proven successful in central accounting/finance, IT financial planning, academic faculty, ERP system migration, and institutional planning. Andy has led various initiatives: building enterprise datastore, implementing enterprise-grade analytics/data visualization, automating business processes and many others. These value-adding projects better assist and inform management at different levels while alleviating reporting burdens. As a CPA since 2020, Andy's educational background encompasses Master of Accountancy and Master of Management Analytics. Andy is also certified as Microsoft Trainer and as Microsoft Fabric Analytics Engineer Associate.
Available

Improving Your Virtual Learning Experience

Live webinars have varying levels of expected interaction, with some requiring microphone and camera capabilities to support a proper learning experience – please email pdreg@bccpa.ca if you have concerns. 

In general, we encourage participants to have their cameras turned on to enhance their virtual learning experience. This practice promotes a stronger connection with the instructor and fellow participants, and fosters improved communication and collaboration.

Live Webinar FAQs can be found here.  

 

Registration terms and conditions, including the cancellation policy can be found here. If you require further assistance, please contact the PD Department. 

Special Notes
This is a hands-on seminar. Please ensure that you have a personal laptop, Microsoft Excel with a personal Microsoft account, and Anaconda Code and Anaconda Toolbox with an account before the seminar begins.
Interested in similar content?

Starting April 1, 2026, a 2.1% fee will be applied to all credit card transactions. Learn more about this fee and how it relates to PD registrations.