Excel Conditional Formatting: Tips You Can Use Immediately To Make Your Data Stand Out (Data Analysis With Excel Book 3) by Scott Hartshorn English | Feb. 26, 2016 | ASIN: B01CAVAOV6 | 47 Pages | AZW3/MOBI/EPUB/PDF (conv) | 6.97 MB
Conditional formatting is very useful for many different functions. You can use it to spot trends in data, make outliers visible, or make intuitive tables.
Excel Importing & Exporting Text Data: Quickly Turn Raw Data Into Excel Tables (Data Analysis With Excel) by Scott Hartshorn English | March 10, 2016 | ASIN: B01CUSXRL8 | 45 Pages | AZW3/MOBI/EPUB/PDF (conv) | 7.64 MB
This book shows how to import and export different types of data from Excel. The focus is on working with common data types that you are most likely to see, including CSV format, raw ASCII tables, PDFs, or even images.
Python programmers are some of the most sought-after employees in the tech world, and Python itself is fast becoming one of the most popular programming languages. One of the best applications of Python however is data analysis; which also happens to be something that employers can't get enough of. Gaining skills in one or the other is a guaranteed way to boost your employability – but put the two together and you'll be unstoppable!
R is a popular open-source programming language for data analysis. Its interactive programming environment and data visualization capabilities make R an ideal tool for exploratory data analysis. This course will provide an introduction to the R programming language and demonstrate how R can be used for exploratory data analysis to complete day-to-day developer tasks.
Master data analysis with Excel 2013 on your terms with this one-of-a-kind video training course. Excel 2013 is Microsofts industry leading spreadsheet application that allows you to organize, visualize and calculate your data.