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.
Strong decision-making skills are critical because the future of any business or organization depends on hiring workers who are capable of thinking or making decisions at higher levels of sophistication.
It is in the best interest of any organization you work for to create a confident workforce by developing or following a clear-cut decision-making steps like those outlined on this article.
Finally you can as an individual, become more successful by making more better, more effective decisions using the principles taught in this article on decision making.
First, discover your passion and work a job you really love.
Second, turn your passion into a set of excellent skills using practice tests or quizzes.
Third, bring your passion to the market using Push (emailing your branded resumes) or PULL Techniques (Social Media Marketing).
Here is a question for you; Do You Really Love Your Job?
In a study of how exceptional, world-class or, successful people are produced, Daniel Coyle in his book “The Talent Code” says that it takes a combination of concentrated, difficult, skill-building practice, motivation or inspiration and master coaching to achieve success.
Learning new Information Technology (IT) skills is typically thought of as painful because the Study Textbooks used in the Information Technology (IT) industry are usually written by geeks for a geeky, hard-core, technical audience.
This is why one of the challenges facing professionals today is how to overcome the difficulty, complexity or high learning curves typically associated with learning new Information Technology (IT) skills.
Keeping in mind that Sql or Database skills are useful in any industry including financial, insurance, banking or information technology sectors, wouldn’t it be really helpful if learning Sql or databases was made easy?
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…
Many database professionals have a hard time writing complex, complicated or advanced SQL queries for the following reasons.
In a healthcare database project that I consulted on, I had to write fairly complicated and efficient SQL queries for physicians at several practices because of their specialized reporting requirements.
The real problem was not the complexity of the physicians database but it’s poor suitability to the physicians reporting needs.
Based on experience gathered from consulting on several database or data analysis projects, I have observed that writing complex or complicated SQL queries, may prove challenging because of the following:
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.