5 Tips to Follow Before You Enroll in an Analytics Course

Data Analytics is one of the hottest career options right now. Businesses, governments, environmentalists, and every possible domain that you can think of need skilled Data Analysts. As data becomes the new valuable commodity, enterprises are all set to leverage it for good. And, only a competent team of Data Analysts with a knack of problem solving can achieve this. 

From the wonders of Business Intelligence to AI & ML, a Data analyst is a highly values asset for any organization working in these key areas.   

Decided on enrolling in a Data Analytics course to supercharge your career? Well, we decided to give you some helpful tips before you get started! The following tips have been given by PST Analytics, an accredited Data Analytics & SAS Training institute known for its impeccable training and high placement numbers. Take a look. 

1. Be Clear about ‘Why You Want Analytics Training’

If you know where you are going, the destination comes a few steps closer. This age-old notion holds true for academics and career progression endeavors of the people. Data Analytics is no different. Before you apply for a suitable accredited course in analytics, you’ll have to make up your mind about what you are really for in this career. You might have found motivation on the internet or maybe a colleague of yours is pursuing a similar career. However, following them just for the sake of following them will eat up all your motivation on the way. So, be mindful of the next step that you would take after the training to be where you want to be!

2. Know Where You Will Specialize!

Data Analytics itself is a huge domain and there are numerous specialist roles that one can pursue. Of course, to be a skilled specialist, you’ll have to pick up an area that matches your interest and has sufficient demand in the market. Only then you will be able to pick up a suitable course and move forward. To give you an idea, you can specialize in the following roles;

  • Data Librarian
  • Data Journalist
  • Data Analyst
  • Data Engineer
  • Data Steward
  • Data Archivist

You can even plan about specializing in analytics for AI & ML technologies. It is advised that you surf online and explore the job responsibilities for above mentioned roles. You will get an even better picture before you enroll in an analytics course. 

3. Map out Your Skills

Courses are designed for different skill and experience levels. Thus, it is crucial that you bear a clear understanding of your skill level. For instance, if you have worked on a few analytics projects before-you may not want to enroll for a beginner’s course. Similarly, know the areas where you lack. Data Analytics job roles typically demand the following hard skills;

  • Experience of Data-to-Decision Framework (DTD Framework)
  • Basic Business Intelligence & Analytical Skills
  • Working Knowledge of SQL
  • Knowledge of Descriptive & Predictive Analytics
  • Experience with Stat tools like R, Knime, SAS, etc.
  • Practical knowledge of Data Visualization tools like Tableau

Besides these, of course, you’ll need to work on your soft skills for personal and professional excellence. Know if the training institute covers up the skills you need to acquire before signing-up for it. 

4. Check the Placement Record of the Institute

This one will come obvious to many students willing to succeed in the analytics domain. Check on the placement record of the training institute before enrolling in it. Also, do not look for numbers that ‘boast’ but look out for a pattern which is consistent. Even if the placement record of the institute is average yet consistent, then it is worth the try. Moreover, you must know whether the institute provides industrial placement support through in-house efforts. If yes, then the management is probably interested in placing its students and making their brand name shine through hard efforts. 

5. Where does the Faculty come from?

This is perhaps another crucial question to ask before enrolling in the analytics course. Is the teaching faculty qualified enough to teach your experience level? Ideally, the faculty must be industry veterans who have worked and learned from the same field. Possessing such credits would make them the ideal instructors for the course. Industry-experienced faculty will also be able to give the students the right guidance for career progression and give insights into practical problem solving. 

Adhering to the above-mentioned tips will help you make the right decision to choose a suitable analytics course. If you still have any doubt, please leave the message in the comments below and we will reply ASAP! 

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