Nothing Great Was Ever Accomplished Without First Believing!

Nothing Great Was Ever Accomplished Without First Believing!
Nothing Great Was Ever Accomplished Without First Believing!

This question was submitted by LaTonya, a US Military Veteran. LaTonya’s question is:

I trained in the US military as a Maintenance Systems Data Analyst, but only worked in my position for about 4 months before being honorably discharged.

In my current position, I have transitioned from being a full-time payroll clerk to handling most of the same duties that I did as a data analyst.

How can I extend that transition into my pay grade / title without having a degree?

The Answer To LaTonya’s Question Is …

Do You Want to Learn SAS Data Analysis?

How to Find a Well Paying Job?
How to Find a Well Paying Job?

What do you do when you apply for a job and realize that you don’t have all the software skills listed on the job posting?

You may decide to stop your job search and get training or certifications in all the software packages listed on the job posting.

But what if these are enterprise software packages costing thousands of dollars to learn, then what?

And what if you are talking about not just one but multiple software packages?

What Personality Types Are DBAs?

What Personality Types Are DBAs?
What Personality Types Are DBAs?

This post about the personality types of database administrators (DBAs) is in response to Sandra’s question.

Sandra, thank you for taking the time to tweet a number of my posts, I appreciate you ūüôā

Personality types like the Jung Myers-Briggs Type are used to describe the psychological characteristics of an individual.

For example, the famous Myers-Briggs has 16 personality types grouped as: Extroversion vs. Introversion, Intuiting vs. Sensing, Thinking vs. Feeling, and Judging vs. Perceiving.

In this post, I will describe some of the personality types of database administrators (DBAs).

A Day In The Life Of A Data Analyst

Data Analysis: Profiting From Numbers
Data Analysis: Profiting From Numbers

Data Analysts have the opportunity to work in several different domains or sectors, for example as banking data analysts, retail data analysts, telecommunications data analysts and as marketing data analysts.

The marketing data analyst role is one of the more common ones and a marketing analyst may be found analyzing databases of prospects, leads and customers for the marketing department.

In this post, we will take a peak into the day of a marketing data analyst…

Why Data Analysts Use Microsoft Excel?

The Data Analysts Career Path
The Data Analysts Career Path

Microsoft Excel is commonly used for data analysis because it’s part of the popular Microsoft Office Suite and it even comes pre-installed on some computers!

Unlike statistical analysis packages like, SAS and SPSS, Excel is relatively inexpensive and widely accessible to small businesses and mid-sized businesses in a variety of industries including healthcare, finance, sales and marketing etc.

Microsoft Excel is used in organizing and analyzing data, performing complex calculations as well as creating graphical displays.

Microsoft Excel’s user-friendly interface makes data entry convenient and it also comes loaded with a wide array of mathematical, statistical, financial functions and a Data Analysis ToolPak.

How Do I Transition Microsoft Access or Excel Data Analyst Skills?

The Data Analysts Career Path
The Data Analysts Career Path

This question was posted by a Microsoft Office Data Analyst who wants to know “How to Upgrade Microsoft Access or Excel Data Analysis skills!

If you need help with a Question or Challenge, be sure to ask it as a comment on this page and I will answer it fully just as I am answering this questions now!

The Challenge Facing A Microsoft Access or Excel Office Data Analyst

My toughest challenge I face today with my career is I am itching for a move within the company I work for.

The Job Outlook for Data Analysts

There's Gold In Them Thar' Data
There's Gold In Them Thar' Data

According to projections by IDC (a well-known research firm), the amount of computing, web and digital data will increase fivefold by 2012 as a result of an upsurge in sensor signals, surveillance tapes, social network chatter, public records and more.

The increases in availability and storage of corporate transactional data within the last decade has left companies scrambling for data analysts trained in interpreting or making inferences based on data.

With the help of data analysts, companies can improve the speed and quality of their business decisions, manage risks better, predict the likelihood of favorable or unfavorable outcomes or provide their management team with improved predictive business intelligence.