Excel Essentials For Analytics (A Concise Introduction)

What you'll learn
Learn how to input data into Excel from different sources (CSV, Text, SQL databases)
Learn key Excel functions used in analytics
Introduction to Excel Macros
Introduction to Pivot Tables
Learn how Excel can save you time writting SQL code
Become familar with key Excel functionalities used in analytics in under 2 hours.
Requirements
Requirements include Excel 2016 (or greater).
Description
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 codingNo previous Excel experience is necessary.The only requirement is access to a computer with the Windows Excel program, preferably the 2016 version (or later).
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Input Data
Lecture 2 CSV Data Import
Lecture 3 Text File Data Import
Lecture 4 SQL Database (ODBC) Data Import
Section 3: Handy Cell Functions
Lecture 5 Sum IF / Count IF
Lecture 6 VLOOKUP
Lecture 7 HLOOKUP
Lecture 8 Index & Match
Lecture 9 IF Error
Lecture 10 IF NA
Lecture 11 Left / Mid / Right
Lecture 12 Table Sort
Lecture 13 Transpose
Lecture 14 Text to Columns
Lecture 15 Unique Records
Lecture 16 Search & Replace
Lecture 17 Conditional Formatting
Section 4: Analytical Functions
Lecture 18 Simple Linear Regression
Lecture 19 Multiple Linear Regression
Lecture 20 Test & Control Studies (Hypothesis Testing)
Section 5: Intro to Automation using Macros
Lecture 21 Introduction to Macros
Section 6: Introduction to Pivot Tables
Lecture 22 Intro to Pivot Tables
Section 7: Excel for SQL Coding
Lecture 23 Excel for SQL Coding
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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