
Brief course and instructor introduction
How to import CSV files into Excel.
How to import text files (.txt) into Excel.
How to import data from an SQL database into Excel.
The SUMIF and COUNTIF functions allow us to sum or count cell values based on certain conditions.
The VLOOKUP function allows us to search for values in a table by row.
The HLOOKUP function allows us to search for values in a table by column.
When used together, the Index and Match functions can find values at the intersection of rows and columns.
The If error excel function is useful for error handling, in particular the division by zero error.
The IF NA function is useful to handle Excel's "#N/A" (no value is available) error .
The Mid, Left and Right functions are handy for string/character manipulations.
How to sort an entire table based on the values (numerical or alphabetical) of a specified column.
Ho to quickly convert a row of values into a column of values and vice versa.
Convert values stored in delimited text files into columns.
Remove duplicate records from a range. Can also be used to count number of distinct records.
Handy Windows functionality that can be used in Excel to search and replace unwanted characters across an entire sheet.
Color-code cells based on conditions. Useful to highlight positive/negative results.
Here we enable Excel's Analysis ToolPak and introduce Simple Linear Regression.
Extension of the Simple Linear Regression (single variable) into Multiple Linear Regression (2 or more variables).
Hypothesis Testing in the context of Test & Control studies.
Here we look at how Macros (programs) are useful for the automation repetitive tasks.
Excel can help us to write more efficient and accurate SQL code.
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).