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2020-12-26 04:25:53
30-Day Money-Back Guarantee

This course includes:

  • 1.5 hours on-demand video
  • 13 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
Finance & Accounting Finance Data Analysis

Introduction to Data Analytics for Accountants

Next generation skill for accounting and finance professionals.
Rating: 4.4 out of 54.4 (36 ratings)
115 students
Created by Rizwan Ahmed
Last updated 1/2021
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • This is a beginner level an introductory course on data analytics for accountants and finance professionals. The course aims to give you a birds-eye view of what is data analytics, the process and various tool that help to carry out data analytics rather than teaching a single tool.

Requirements

  • Familiarity with finance and Excel or other spreadsheets would help.

Description

It is a 1 hour and 20 minutes short course on data analytics for accountants, auditors, and other finance professionals. Data analytics is a Next-generation skill for accounting and finance professionals.

Majority accountants and finance professionals still use different terms interchangeably and are unfamiliar with various terms and concepts. The course aims to give you a birds-eye view of data analytics, the process, and multiple tools that help carry out data analytics rather than teaching a single application.

We will cover in this course.

- Overview of Digital Skills and where Data Analyst role fit in this world.

- What is Data Analytics.

- Different Data Structures and why accountants should understand the difference.

- Types of Data Analytics.

- Process of Data Analytics.

- Skillset required to make the best use of data.

- Few popular tools to perform Analytics and examples.

- What is an outlier and it can be useful in audits. 

- Introduction to sentiment analysis and how it can be useful to improve products.

- Predictive Analytics : Introduction to Regression and its use in  real estate.

- Prescriptive Analytics : A brief introduction to machine learning and how it can be useful in making investment decisions.


By completing this course, you will understand the basics of various types of data analytics and what you can achieve by using it in your professional life.


See you in the class!

Who this course is for:

  • The course is suitable for students and experienced finance professionals in accounting, finance, audit and other business areas.

Course content

7 sections • 19 lectures • 1h 23m total length

  • Preview01:43

  • Preview03:36
  • Preview06:15
  • Data Structure
    04:40
  • What is Data Analytics
    03:28
  • Analytics Process
    04:53
  • Data Analytics Quiz
    7 questions

  • Outlier Part 1 : Introduction
    02:57
  • Outlier Part 2 : Enron Example
    07:08
  • Outlier Part 3 : Ledger Example
    01:25
  • Outlier Quiz
    3 questions

  • Sentiment Analysis Part 1 : Introduction
    03:54
  • Sentiment Analysis Part 2 : Excel
    02:56
  • Sentiment Analysis Part 3 : Excel
    07:26
  • Sentiment Analysis Part 4 : R
    03:38
  • Sentiment Analysis Quiz
    4 questions

  • Predictive Analytics Part 1 : Regression Introduction
    04:27
  • Predictive Analytics Part 2 : Excel Regression
    06:43
  • Predictive Analytics Part 3 : Excel Regression
    07:22
  • Regression Quiz
    5 questions

  • Prescriptive Analytics Part 1 : Introduction
    03:54
  • Prescriptive Analytics Part 2 : Stock Recommendation
    06:47
  • Stock Recommendation
    3 questions

  • End
    00:36

Instructor

Rizwan Ahmed
Experienced Finance Professional with Data Analytics Skills
Rizwan Ahmed
  • 4.4 Instructor Rating
  • 36 Reviews
  • 115 Students
  • 1 Course

Finance professional with several years of experience in the world's leading accounting firms, EY, KPMG, BDO, PKF, and Grant Thornton, financial services, and Government organizations in various industries and sectors such as investment management, retail, transport, banking, etc.

I am an artificial intelligence and data science enthusiastic and applying these next generations skills to the accounting and finance profession

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