Professional Training

Scripting with ACL™ Analytics

ACI Learning, In Worldwide
Length
3 days
Next course start
Enquire for dates and prices See details
Course delivery
In Company
Length
3 days
Next course start
Enquire for dates and prices See details
Course delivery
In Company

Scripting with ACL™ Analytics

Scripting with ACL Analytics

A comprehensive coverage of scripting using a hands-on approach. It includes how to script the import, preparation, and analysis phases of an audit to create continuous routines. Also, ways to leverage functionality only available to scripts like GROUP and LOOP commands, flag and counter-based loops, and creating a script that creates another script. These features add amazing power to your capabilities. ACL 303 also prepares you for level 6 & 7 of ACL Certified Data Analyst (ACDA) exam.

Upcoming start dates

1 start date available

Enquire for dates and prices

  • In Company
  • Worldwide

Suitability - Who should attend?

Users who have completed the ACL101 course (or are self-taught to that level) and have been using ACL to the extent that they are comfortable using the ACL101 content. Attending the ACL201 course is not a prerequisite, but many users find it useful.

Prerequisites

  • A Comprehensive Introduction to ACL Analytics-ACL101
  • Equivalent Experience

Outcome / Qualification etc.

NASBA Certified CPE: 24 Credits Auditing

Risk and Compliance Certificate

What You'll Learn

You will learn to use ACL Analytics for on-the-spot analytics and continuous routines to run against future data. Also, scripts for cleansing, split transactions, keyword searches and deleting temporary tables, among others.

Training Course Content

Basics:

  • Getting started
  • Best practices
  • Computed/physical fields
  • Variables
  • Interactive scripts
  • Error trapping – flag-based loops

Importing Data:

  • Import planning
  • Importing files
  • Importing the most recent file
  • Importing multiple files–counter- based loops
  • Importing with ODBC
  • Using datetime functions to automate date ranges

Preparing Data:

  • Data integrity
  • Automating script termination
  • Transactional filters
  • Field mapping (cryptic field names)
  • Data harmonization

Analyzing Data:

  • Analysis scripts overview
  • GROUP command
  • LOOP command
  • Keyword analysis
  • Creating a script from a script
  • Fuzzy matching

Pre-written Scripts:

  • Accessing the scripthub library
  • Interpreting Script details
  • Download from scripthub
  • Preparation and running a scripthub script

Conclusion:

  • Bringing it all together - summary
  • Bonus scripts – split transactions and identify working days

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