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ACL for Audit, Data analysis and Visualization

ACL(Audit Command Language) analytics for tasks automation and data science.

     
  • 4.1
  •  |
  • Reviews ( 631 )
₹569

This Course Includes

  • iconudemy
  • icon4.1 (631 reviews )
  • icon8h 41m
  • iconenglish
  • iconOnline - Self Paced
  • iconprofessional certificate
  • iconUdemy

About ACL for Audit, Data analysis and Visualization

Are you an auditor, a data scientist or you are passionate about data analysis and visualization, this course is ideal for you. It also teaches you how you can use ACL analytics for task automation and auditing. You will learn how to connect to the popular database platforms like

Oracle database and SQL Server

and other file formats , download data , perform analysis on them and generate insights using ACL commands , functions and Microsoft Power BI.

It is worth noting that though there had been a lot of changes to ACL over the years. The key commands and concepts taught in this course had not changed. The scripts written in this course can still be executed in the newer versions.

From the beginning to the end of this course, real life examples were given with all scripts written for each section, Data and ACL installation files attached for your further studies. So Folks, welcome to the world of data science as you add to your skills base. ACL installation files attached for your further studies. If you have any question, do not hesitate to reach out to the instructor. We are all ready to answer your questions and ensure you have a great learning experience. Cheers!.

What You Will Learn?

  • You will learn how to connect oracle database, SQL Server and other data sources from ACL environment .
  • Carry out data analysis, generate insights and knowledge for strategic decisions .
  • Use Microsoft Power BI to generate dashboard reports of data analysed by ACL .
  • Learn how to automate tasks using ACL analytics .
  • Learn ACL scripting Commands and Functions .
  • Audit a Payroll .
  • Perform risk analysis on your data.