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Guidance and results for the data-rich, yet information-poor.

Training for Data Mining Jobs

JobHuntOne of the questions that comes up in TMA’s free webinar “Data Mining: Failure to Launch” is what kind of training a newcomer to the industry should pursue in order to be eligible for data mining jobs. Not a bad question, considering how hot the data mining field is right now.

Choose your area of opportunity.

There are two areas of opportunity in the data mining field right now. The first is the IT or computer science angle. These are the engineers who develop new algorithms for data mining programs.

The second area of opportunity is in the application or business intelligence side of data mining. A business intelligence specialist is more concerned with using data mining to solve business problems.

To understand the difference, think about the field of auto racing. Some people want to be auto mechanics. They need to understand all of the moving parts and everything that is happening beneath the hood of the car. Other people actually want to drive the car.

From there, you might even choose to specialize further. For example, you might become specifically proficient in marketing analytics or financial analytics.

Training helps.

Any training or certification certainly helps with your job hunt. TMA’s courses are meant to offer a good representation of the overall approach to data mining, and they do offer course credits that you can include on your resume.

Training in math, statistics, and machine learning are also helpful. However, if you are trying to become a practical analyst it’s not necessary to be a PhD, a math guru, or a programmer. You just need to understand what the programs can do and how to strategically apply those capabilities to the problem at hand.

Informal training is important too! Take any opportunity that you can take to work with someone who is doing an existing project. Follow them through an actual work day. It’s a great way to get some practical exposure to real problem solving approaches that you might not pick up through other learning methods.

Put the right words on your resume.

Most of the business world is focused on a big buzz word called “big data.” So speak in the language that they understand. You may understand the difference between “big data” and “useful predictive analysis,” but you still want to use keywords and terms that are going to attract the eye of potential employers.

It’s also not a bad idea to start talking about what you’re learning and doing on your blog, your LinkedIn, and your Twitter. Many employers turn to the web to do their hiring and they’ll appreciate seeing someone who is passionately involved with the field even before landing a formal position.

Don’t give up!

Data science may be a hot field right now but that does not mean that a job is just going to land in your lap. It takes persistence to land a new job in the data field just as it does in any other field. Work on developing your network and expanding your skills even as you send out your resume. Your efforts will pay off.

Want to get some preliminary training for free? The next free webinar live event is on January 16th, 2014. Register today!

Data Mining Webinar

Learn How to Get Predictive Modeling
Off the Ground and Into Orbit
1 Hour Live Interactive Event

Why Train With TMA?

Determine whether TMA training is right for you, and learn why TMA is truly the best option for live classroom analytics training.