Excel Essentials for Analytics (A Concise Introduction)

Excel Essentials for Analytics (A Concise Introduction), Excel for Analytics.

My name is Julio Losada. I have postgraduate studies in Mathematics, Economics, and Computer Science. For the past nine years, I have worked in analytics across the Banking and FMCG industries.

Over this time, I have helped very busy colleges acquire essential Excel skills by keeping demonstrations simple and to the point. With this experience, I have identified the most commonly used Excel functionality applied in Analytics and created this course.

Excel Essential for Analytics (A Concise Introduction) is primarily geared towards graduates or busy professionals moving into an analytics role and needing to very quickly acquire relevant Excel skills.

The course centers around six key learning areas: Handy cell functions, analytical functions, macros, pivot tables, and Excel for SQL. Sub-topics are listed below.

· Input data

o CSV

o Text Files

o SQL databases

· Handy cell functions

o SUMIF / COUNTIF

o VLOOKUP

o HLOOKUP

o LEFT / MID / RIGHT

o Index & Match

o IFERROR

o IFNA

o Sort

o Transpose

o Text to Columns

o Unique records

o Search & Replace

o Conditional Formatting

o Analytical Functions

o Linear Regression

o Multiple Linear Regression

o Test & Control Studies (Hypothesis Testing)

· Automation with Macros

· Pivot Tables

· Excel for SQL coding

No previous Excel experience is necessary.

The only requirement is access to a computer with the Windows Excel program, preferably the 2016 version (or later).