How was your experience after completing the Data Science course? Did they position you as you expected?

Updated on : December 7, 2021 by Jordan Lane



How was your experience after completing the Data Science course? Did they position you as you expected?

Yes Anonymous… Because I am ashamed to answer these questions!

Let's keep my stupid emotions at bay for a second and be part of a reality that I'm going to share with you because I want to educate people on these burning questions!

HUH WHT? DATA SCIENCE BRO? WILL GIVE ME A JOB HUH? THIS COURSE THAT COSTS A PUMP WILL PROVIDE ME A SAFE JOB, EH? LET'S GIVE IT!

Before, I was working in an e-commerce company with no future plans and a doomed career path, which made me think that maybe the time is right to make a career change. That's when I stumbled upon a full-time Postgraduate Diploma course in Data Science, passed its tests online, and applied for it.

It is a 1 year full time program at a reputable university (which I will not disclose) and these guys would do anything to get you on board. Fake promises, 100% placement guarantee, and many more free gifts. All at the expense of a high price (equivalent to or higher than a 2-year MBA program from a level 2 university).

I got on this wagon with the intention of one day being successful and having to enjoy an independent life and good professional growth. Little did I know that my lack of prior knowledge or prerequisites for data science would make it difficult for me to cope at some point in this curriculum.

But that was not the problem because everything was going quite well and everything was falling into place until the companies began to recruit candidates from our university. Large multinationals and some startups would shortlist candidates based on their past experiences and current skills relevant to that job. I'd say some big companies came in and took some really valuable candidates, but when I got the chance I couldn't eliminate any of them.

And the day came when we finished our course. That day, some were happy, while others who were left out of work and out of work were unsure of their future. He was still a member of this league.

After completing this course, I realized that it doesn't matter how much knowledge I have related to data science. It is the skills and projects you have worked on and the effectiveness with which you can implement these DS techniques that you have learned in a data set that will get you noticed in this field. Of course, some were handed the crazy shiny gold keychain directly, but the rest had to struggle outside to find a job that perfectly matched their profile and they worked hard to be a part of it.

Data science can be learned from various MOOC certifications that are available online from various top-tier institutes such as EdX | Coursera | Udemy | Datacamp and many more. These consist of resources from statistics to machine learning to linear algebra and you will find many other data science related courses online.

I am still unemployed for 4 months and I am looking for a job in this field in the hope that I too will be part of this revolutionary domain!

HEALTH!

It's a well-known fact that data science is one of the hottest career options these days, thanks to the hype surrounding the data scientist job title. It has sparked increased interest in the field of data science from both working and college-bound professionals. To cope with the growing demand for data science professionals, many institutions have begun offering a master's degree in data science. If you plan on earning such a degree too, here are ten facts to consider before spending your time, effort, and money.

# 1. Before entering a data science

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It's a well-known fact that data science is one of the hottest career options these days, thanks to the hype surrounding the data scientist job title. It has sparked increased interest in the field of data science from both working and college-bound professionals. To cope with the growing demand for data science professionals, many institutions have begun offering a master's degree in data science. If you plan on earning such a degree too, here are ten facts to consider before spending your time, effort, and money.

# 1. Before entering a data science master's degree, you need to make sure you are genuinely interested in what the program would entail. For example, a professional might try to find an opportunity to gain some experience working with data to gain exposure, while a student might try to take a statistics class.

# 2. These days, many data science master's programs are taught online, which means it has become easier than ever to learn the skills necessary to become a data science professional. You will be able to enjoy a lot of flexibility in terms of studying when you want, working at your own pace, choosing a course schedule that suits you best, etc.

# 3. Having a master's degree in data science is certainly an effective way to build data science skills, but it is not a prerequisite for starting your data science career. It is possible to enter the field without having a master's degree in data science.

# 4. A master's degree in data science is very important when applying for a position, but not having a master's degree will prevent you from getting that job. For example, some tech giants may require applicants to have a master's degree in data science, while other companies may not have those stringent criteria.

# 5. While data science professionals are already in high demand, having a master's degree in data science could further enhance your chances. Other than that, you will be in a better position to negotiate your benefits.

# 6. If you really want to apply for a master's degree in data science, you must first decide which path you want to take. If you're willing to go back to school, earning such a degree can help you define the path in good measure.

# 7. Some of the data science master's programs are still in the process of developing the right curriculum that combines computer science, mathematics, and statistics, and there is a wide range in terms of breadth of knowledge offered, quality of the program, etc. In addition, in addition to requiring an investment of a minimum of one to two years, they can cost thousands of dollars.

# 8. Some data science master's programs, especially newer ones, may risk overpromising students and not meeting future employment requirements.

# 9. If you can complete a full data science bachelor's curriculum that involves statistical, computational, and professional practice aspects, it could be more comprehensive than a data science master's program.

# 10. If your goal is to earn a Ph.D., you should look no further than a data science master's program.

Final conclusion

You have probably already understood that it will be your decision if you opt for a master's program in data science. Please carefully consider the above information and make an informed decision based on your future goals.

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