How to pass an analytics job test – Part II – MS Excel.
Even with the rise of use of R, Python, SAS and other more scientific analytical tools, Microsoft Excel remains the most popular data analysis tool. While we have gone over a solution for an analytics job test in SQL last month , you are much more likely to encounter a job test in Microsoft Excel for your next analytics opportunity. While I would personally argue that this particular test is actually better solved with SQL, the employer believes that the applicants instead need to apply their Excel skills to demonstrate their proficiency and acumen. As before, we should start by asking questions about the problem at hand and trying to get as much clarification as needed or state our assumptions. However, since spreadsheets are less forgiving from the presentation point of view than the databases, I would strongly recommend that we would also take a few minutes to format any workbooks provided by the prospective employer. Chances are they would recognize your level of professionalism by looking at clean and presentable file. Your stylistic preferences might be different, but as a minimum I would remove gridlines, add filters/format as tables larger datasets, freeze panes, and add at least one to two colors to the otherwise monochrome layout.
How to pass an analytics job test – Part I – SQL.
With the demand in data analytics professionals growing stronger than ever, recruiters find themselves in a peculiar position of having to screen hundreds of potential, seemingly qualified candidates. Some firms turned to the proven selection tool: pre-employment skills assessments; and analytics-related tests are on the rise, especially for the junior level industry positions. No tests are the same, but most are designed with the sole purpose of gauging candidate’s cognitive ability to understand the problem at hand and having the technical know-how to implement a working solution. Two types of analytics tests that my students shared involved using either: Microsoft Excel or SQL language. Most of relational databases can be queried using a dialect of SQL, and as such, knowledge of SQL is as essential for a data analytics professional, as their excellent communications skills. In this post we will go through an example of a SQL job test, while in the next article we would focus on an Excel problem.
Microsoft Excel personal macro workbook.
We have already explored different Excel VBA macros here, here, and here, . While the power of Excel VBA is limited only by our creative imagination, the real limitation of a typical VBA code comes from the fact that it resides in the workbook where it was saved, and as such, can only be revoked while this file is open. This is where the personal macro workbook comes into play: if we save our code in this centralized place, we could use it in any Excel workbook on our local drive. This productivity hack would help us perform repetitive tasks (formatting and data presentation pet peeves, anyone) by automating them. The easiest way to save your code into PERSONAL.XLSB workbook is through recording a macro.
Microsoft Excel’s CONVERT Function.
Microsoft Excel is one of those great software applications that empowers us to do a lot of different things. You can create art masterpieces , convert digital photos into pixel worksheets , create a cool animation , build a flight simulator , or play a game of Tetris . If you don’t feel ambitious enough to write pages upon pages of VBA code, but still want to do something practical with the program, perhaps you want to learn how to perform different conversion calculations in Excel? In fact, CONVERSION function enables you to convert weight, distance, time, pressure, force, energy, power magnetism, temperature, volume, liquid measure, area, information, and speed measures from one unit to another. The later version of Microsoft Excel you are running the more conversions you can perform. If you are working in Excel 2003 or earlier, this function is not available on earlier versions of Microsoft Excel.