Free Excel Analytics Tutorial – Excel Essentials for Analytics (A Concise Introduction)
Learn essential Excel skills for analytics with this concise course. Perfect for busy professionals or graduates entering the analytics field. No previous experience required. Access to Windows Excel 2016 or later is recommended. Save time with concise and effective demonstrations.
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 centres around six key learning areas being: 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).
Who this course is for:
- This course was designed for the busy professional or graduate entering the analytics profession.
- The course includes demostrations on the most commonly used Excel features used in analytics.
- Demostrations are concise and effective in order to save time.
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