Financial Data Analysis using Excel 2013
4.3 (11 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
356 students enrolled

Financial Data Analysis using Excel 2013

A Practical course explores the easy solutions to accurately analyze inputs and financial data analysis
4.3 (11 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
356 students enrolled
Created by GreyCampus Inc.
Last updated 12/2015
English
English [Auto-generated]
Current price: $11.99 Original price: $199.99 Discount: 94% off
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This course includes
  • 5.5 hours on-demand video
  • 13 articles
  • 9 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Explore the protection features of Excel
  • Work with conditional structures and related functions

  • Explore the various components of Pivot Tables and Charts

  • Implement Slicers and Sparklines to build interactive dashboards
  • Explore Financial functions of MS Excel
  • Understand co-relation of financial data and forecast related values
Requirements
  • Some knowledge of basic word processing, computing, and spreadsheets
  • Familiarity with the Microsoft Office work environment
Description

In this ever-changing business environment, being able to accurately analyze economic inputs is a critical skill for business users. Microsoft Excel comes with several built-in financial functions which perform many of the commonly used financial calculations.

Whether you are new to Excel or an advanced user, Grey Campus Excel courses will cover what you need to know to become an expert in using Microsoft Excel as a sophisticated Financial Analysis tool.

This is a practical course that explores the easy solutions to financial data analysis and thus helps in increasing efficiency of business users. It has been designed for professionals who wish to explore the practical usage of advanced Excel functions with financial data.

At the end of the course, participants would learn/use/acquire the following techniques/knowledge:

  • Appreciate some of the frequently used functions in Excel
  • Explore the protection features of Excel
  • Work with conditional structures and related functions
  • Explore the various components of Pivot Tables and Charts
  • Implement Slicers and Sparklines to build interactive dashboards
  • Explore Financial functions of MS Excel
  • Understand co-relation of financial data and forecast related values
Who this course is for:
  • It has been designed for professionals who wish to explore the practical usage of advanced Excel functions with financial data.
Course content
Expand all 48 lectures 05:36:09
+ Starting Microsoft Excel
6 lectures 51:20
Understanding Cell References
13:06
The Backstage view - Analysis Perspective
10:36
Excel protection features (password Protecting sheets, and hiding Formula)
06:29
Exporting Excel data to other formats - CSV, PDF, and others
08:14
+ Mastering Conditional Functions
6 lectures 01:06:19
Handling conditional structures using IF Functions Part 1
11:35
Using Nested IF conditions
09:03
Using Operators with IF – AND, OR, NOT
10:25
Advanced Excel Functions – SUMIFS, COUNTIF, SUMPRODUCT and related functions
17:19
Creating Mega-Formula using multiple functions
08:24
+ Performing complex calculations efficiently
8 lectures 01:00:24
Using Lookup functions – easy demonstration of VLOOKUP and HLOOKUP
04:55
Using Lookup functions – easy demonstration of VLOOKUP and HLOOKUP Part 2
14:09
Using Lookup functions – easy demonstration of VLOOKUP and HLOOKUP Part 3
09:21
Using Lookup functions – easy demonstration of VLOOKUP and HLOOKUP Part 4
01:30
Reverse Lookup techniques – using INDEX and MATCH
10:29
Effective Error handling – using ISERROR/IFERROR
05:55
Tracing formula dependents and precedents
08:47
Using formula auditing tools to avoid errors
05:18
+ Slicing and Dicing of Data - some powerful techniques (Descriptive Analysis)
5 lectures 01:08:54
Creating Pivot Tables using complex datasets
18:06
Generating Pivot Charts Instantly
15:26
Implementing Slicers to build Interactive dashboards
15:05
Beautifying reports / tables using Sparklines
10:35