There is an assumption that certain college degrees are more helpful than others when it comes to preparing for, learning, or succeeding at information technology (IT) careers.
If you believe this to be true then you may also be of the mindset that a Computer Science (BSc.) degree is more valuable than a Liberal Arts (BA) degree!
Surprisingly, there may be some evidence supporting this assumption. For example, it has been noted recently that engineering and computer science college graduates are more employable and better paid than liberal arts college graduates.
Are you matching your strengths to your opportunities or are you just being ideological … interested only in following your own ideas even when they won’t get you any results?
Here is a situation that illustrates the challenges of being ideological versus being results oriented. It is a situation that illustrates the challenges of learning an enterprise software like Oracle compared to a poor man’s database like Microsoft Access.
Are you wondering about who this situation involves? You are safe my friend because today, I will mainly be talking about me 🙂
With the ever-increasing focus on setting up an online presence or the increasing competitiveness of online businesses, there is a need for web data analysts who can help web-based business succeed or thrive online.
A web data analyst researches the activities of users as they interact with a website, identifies the measures critical to the survival of the web business and recommends actions in the form of web analytics reports for web managers, online marketing teams or business owners.
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…
The Microsoft Access Relational Database has been around for a while and it is used in many businesses, Information Technology (IT) Teams and organizations.
Microsoft Access is commonly used in building desktop software applications, data analysis programs and corporate databases where the number of records are as few as 2 billion records or the number of users who access the system at any one time are as few as ten concurrent users.
The ease with which Microsoft access database developers create functional relational databases, add data entry forms, build reports and distribute their database projects to multiple users creates a market for skilled Microsoft Access Relational Database developers.
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.
The data analyst career is one of the popular Information Technology (IT) career tracks available today.
The term data analyst is loosely associated with business data analysts, systems analysts, database analysts, reporting specialists, data researchers, statistical data analysts or marketing data analysts!
However, in this article, I will explain who a data analyst really is and provide a career roadmap or plan for becoming a data analyst.
Who Is A Data Analyst?
The term data analyst refers to someone who works with data or makes sense of the information buried in raw data or draws inferences and conclusions from it.