* Cantinho Satkeys

Refresh History
  • FELISCUNHA: Votosde um santo domingo para todo o auditório  4tj97u<z
    24 de Novembro de 2024, 11:06
  • j.s.: bom fim de semana  49E09B4F
    23 de Novembro de 2024, 21:01
  • j.s.: try65hytr a todos
    23 de Novembro de 2024, 21:01
  • FELISCUNHA: dgtgtr   49E09B4F  e bom fim de semana
    23 de Novembro de 2024, 12:27
  • JPratas: try65hytr A Todos  101yd91 k7y8j0
    22 de Novembro de 2024, 02:46
  • j.s.: try65hytr a todos  4tj97u<z 4tj97u<z
    21 de Novembro de 2024, 18:43
  • FELISCUNHA: dgtgtr  pessoal   49E09B4F
    20 de Novembro de 2024, 12:26
  • JPratas: try65hytr Pessoal  4tj97u<z classic k7y8j0
    19 de Novembro de 2024, 02:06
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana  4tj97u<z
    16 de Novembro de 2024, 11:11
  • j.s.: bom fim de semana  49E09B4F
    15 de Novembro de 2024, 17:29
  • j.s.: try65hytr a todos  4tj97u<z
    15 de Novembro de 2024, 17:29
  • FELISCUNHA: ghyt74  pessoal   49E09B4F
    15 de Novembro de 2024, 10:07
  • JPratas: try65hytr A Todos  4tj97u<z classic k7y8j0
    15 de Novembro de 2024, 03:53
  • FELISCUNHA: dgtgtr   49E09B4F
    12 de Novembro de 2024, 12:25
  • JPratas: try65hytr Pessoal  classic k7y8j0 yu7gh8
    12 de Novembro de 2024, 01:59
  • j.s.: try65hytr a todos  4tj97u<z
    11 de Novembro de 2024, 19:31
  • cereal killa: try65hytr pessoal  2dgh8i
    11 de Novembro de 2024, 18:16
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana  4tj97u<z
    09 de Novembro de 2024, 11:43
  • JPratas: try65hytr Pessoal  classic k7y8j0
    08 de Novembro de 2024, 01:42
  • j.s.: try65hytr a todos  49E09B4F
    07 de Novembro de 2024, 18:10

Autor Tópico: Excel Data Analytics In Aml Financial Intelligence Analysis2  (Lida 22 vezes)

0 Membros e 1 Visitante estão a ver este tópico.

Online mitsumi

  • Moderador Global
  • ***
  • Mensagens: 117576
  • Karma: +0/-0
Excel Data Analytics In Aml Financial Intelligence Analysis2
« em: 17 de Setembro de 2024, 13:39 »
Excel Data Analytics In Aml Financial Intelligence Analysis2



Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.12 GB | Duration: 1h 22m

Mastering Excel Functions and Advanced Tools for AML/CFT Financial Intelligence Analysis


What you'll learn
Applying the IF Function alongside essential functions effective for AML/CFT Analysis
Utilizing Power Query for Table Combination and Transformation in AML/CFT Analysis
Managing Data Models with Power Pivot
Automating Tasks with AI: Creating Macros and VBA Codes
Requirements
Having some prior knowledge of Excel will make the content easier to understand.
Description
"This course is a follow up to my best selling course on "Excel Data Analytics for AML/CFT Financial Intelligence Analysis"This course offers much more in leveraging Excel for AML/CFT (Anti-Money Laundering/Combating the Financing of Terrorism) analysis and investigation. Withe Excel standing out as a cost-effective and accessible alternative to specialized vendor tools traditionally used in this domain Excel is being used for more complex data analysis in this domain , as such the need for the analyst to go beyond just the basic excel features and functions of this powerful analysis tool.The primary goal of this course is to introduce more features and functions to update the skills of the analysts in Excel data analytics to meet up with current demands of the AML/CFT and financial intelligence analyst and investigator . It is designed for individuals seeking a rapid yet thorough understanding of applying Excel's powerful capabilities in this specialized field. Whether you are new to AML/CFT analysis or aiming to enhance your proficiency in financial intelligence through practical Excel applications, this course equips you with essential skills.Participants will learn to effectively utilize Excel functions such as IF, COUNTIF, MATCH and much more , alongside advanced tools like Power Query and Power Pivot. Additionally, the course covers a basic introduction to integration of AI-driven macros and VBA coding for automating repetitive tasks and enhancing analytical workflows.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Excel Function combinations essential for AML/CFT analysis
Lecture 2 IF() and IF(AND())
Lecture 3 IF(COUNTIF()
Lecture 4 IF(OR())
Lecture 5 Practice Exercise Lecture 3,4 and 5
Lecture 6 MATCH(), IF(ISNUMBER(MATCH()))
Lecture 7 Practice Exercise Lecture 7
Lecture 8 MAXIFS(), IF(MAXIFS())
Lecture 9 Practice Exercise 9
Lecture 10 XLOOKUP, (COUNTIF())
Lecture 11 Practice Exercise Lecture 11
Section 3: Introduction to Power Query, Power Pivot and Excel Data Models
Lecture 12 Introduction to Power Pivot
Lecture 13 Power Pivot Data Model 1
Lecture 14 Power Pivot Data Model 2
Lecture 15 Power Pivot Data Model 3
Lecture 16 Power Pivot Data Model 4- RELATED() Function
Lecture 17 Practice Exercise Power Pivot Lectures
Lecture 18 Introduction to Power Query
Lecture 19 Some Basic Transformations using Power Query
Lecture 20 Adding Tables to Existing Data Model
Lecture 21 Practice Exercise Power Query Lectures
Section 4: AI assisted analysis using the data Analyse Feature in Excel 365
Lecture 22 DATA ANALYSE in Excel
Lecture 23 Practice Exercise DATA ANALYSE
AML/CFT professionals,Financial Intelligence Analysts,Compliance officers of financial and other financial institutions,Analysts curious about using excel data analytics in financial intelligence analysis,Persons interested in exploring a career as an AML/CFT analyst or investigator

Screenshots


rapidgator.net:
Citar
https://rapidgator.net/file/7b3dca71d5294b552a85c654258547a5/lvjsn.Excel.Data.Analytics.In.Aml.Financial.Intelligence.Analysis2.part1.rar.html
https://rapidgator.net/file/d2e60f64cf04ff1ceca27f761e27f0ae/lvjsn.Excel.Data.Analytics.In.Aml.Financial.Intelligence.Analysis2.part2.rar.html

nitroflare.com:
Citar
https://nitroflare.com/view/4071B9894AEF30B/lvjsn.Excel.Data.Analytics.In.Aml.Financial.Intelligence.Analysis2.part1.rar
https://nitroflare.com/view/B1DC7D61B3E03A2/lvjsn.Excel.Data.Analytics.In.Aml.Financial.Intelligence.Analysis2.part2.rar