Day 4 - Be prepared

Besides technical skills, it is also important to have good business skills, like great communication, organization, public speaking, analytics, etc.
So, I decided to study more than R, Python, SQL and programming skills. I also need to have a theoretical knowledge, because it is utterly useless knowing how to calculate a math expression but, refuse to understand what you are going to do this. I mean, you might have the greatest technical skills however you don't even know how to interpret some simple data in Excel.

That is the reason I am going to read about analytics methodologies.

One that I liked was a book chapter available for free on the web. See the link below:
http://www.pearsonhighered.com/assets/hip/us/hip_us_pearsonhighered/samplechapter/0130417890.pdf

It provides us some advice to have a high-quality analysis, as:

• As many high-quality data as possible
• One package statistical analysis software
• A healthy dose of common sense

Then, you can start it step by step:

Step 1: Validate your data
Step 2: Select the variables and model
Step 3: Perform preliminary analyses (using graphs, tables, correlation and stepwise
regression analyses)
Step 4: Build the multivariable model (using analysis of variance)
Step 5: Check the model
Step 6: Extract the equation

...