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Difference Between Traditional Data Science Degrees Vs.Certified Data Science Qualifications

Data science Degree Vs. Certified Data Science Qualifications

By Pradip MohapatraPublished 3 years ago 4 min read
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In most of the industries that are trending today, one of the most commonly applied fields is that of learning and analyzing the products and businesses that are related to Data Science.

In most of the industries that are trending today, one of the most commonly applied fields is that of learning and analyzing the products and businesses that are related to Data Science. However, when it comes to the traditional data science degrees and the newly designed certified data science certifications there is quite a bit of a difference there. While the traditional degrees are mostly focused upon teaching the student how to extract data in order to create a simple visualization, forecast, or manipulate the data as per the needs of the organization. The latter makes sure to add the art of research to the traditional field of data science. Compared to the traditional data science degrees, it offers a much broader scope in the field of data science that includes coming up with new functions or methods to retrieve the data and analyze it much faster. Compared to the traditional data scientist they have a higher and deeper knowledge of how data science is, and how the different methods really work.

1.What are the Focused Areas -

•Traditional data science degrees focus on teaching the student about data mining. It is a method of data science that is used to extract raw data and based upon it, relationships are established in order to according to the needs of the organization.

•The certified data science certifications such as the ones offered by USDSI are focused not only on teaching the student the previously mentioned topic, but also imparting knowledge on researching new algorithms. Quite similar to the software development field, a number of algorithms are important to learn that are helpful in sorting the data. However, what algorithm you choose not only depends upon the way that the data is arranged, but it also takes into account the time complexity, which also happens in the data science field. Thus it is always important to be fluent in all the different algorithms.

•The traditional data science courses are solely focused upon teaching the candidate only one aspect of data that only comes in handy while you are creating visualizations that are solely based coupons the needs and analysis of the business.

•The certified data science certifications such as the ones offered by IBM data science certifications make sure that they make the candidate capable of researching, and coming up with new applications. It is done since there are still a huge number of applications that are still not discovered in the area of data science. When successfully developed and applaud, these apps will become increasingly useful in the field of data science.

•The traditional data science courses teach their candidates about time series prediction techniques. Time series prediction is basically a method that is used to forecast data by utilizing historical data. It is used to find out a mathematical relationship between different types of data.

•The certified data science certifications such as the ones offered by Coursera certifications teach their candidates how to make the traditional algorithms a lot faster by optimizing the functions that are based on mathematics. It is indeed a fact that no one can underestimate the importance of mathematics and statistics while learning as well as utilizing data science. Thus, in order to process a fast implementation method, a grasp of the mathematical functions is very much needed, rather than using the traditionally applied mathematical functions.

•The traditional data science courses teach their students about data science skills like cleaning and data transformation. When it comes to the management of a database, storing a large amount of data can be very hectic to both read as well as analyze. Thus data cleaning is a technique that is focused upon removing the noise from the database. By doing this, it comes in handy to analyze the data very easily and thus gives the scope to transform the data accordingly.

•The certified data science certifications teach their students how to come up with new ways of making accurate predictions. Even after using more than a number of algorithms, it is not a very unusual case to find that the prediction made is still inaccurate. This is due to the fact that the ned data result often lacks seasonality and trends. Thus the certified data science certifications focus upon teaching their students how to create new ways to make predictions as well!

2.Why Must You Opt For the Certified Data Science Certification Courses -

It is the sad reality that although the data science field is one of the most promising fields in the industry, most young minds around the globe are not yet updated enough to be able to adapt to the rapidly transitioning changes in the field of computer science. For instance, in the recent Covid 19 pandemic scenario, a huge number of people who were based in the non-technical fields lost their jobs since most businesses were going really slow during that period. However, none of the data science professionals had to face this situation, and were able to sustain themselves by working right from their homes. It has also been predicted that in the recent future, there is going to be a huge upsurge in the availability of job positions in the data science as well as applied data science field.

You will find that there is a huge number of data science certifications being offered online. However, in order to get a good grasp of the subject and to land in one of the biggest multinational companies, you need to make sure that you enroll yourself only in the best data science certification courses. In this category falls the USDSI certifications, IBM Data Science certifications, Coursera certifications, and so on. You will be able to opt for the best-suited and self-paced data science certification course offered by these organizations by taking into consideration your needs, industry-relevancy, as well as international validity.

Final Word

One can get a job in the data science field by doing a certified data science certification course that prepares the candidates with everything that they need to know about the field!

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About the Creator

Pradip Mohapatra

Pradip Mohapatra is a professional writer, a blogger who writes for a variety of online publications. he is also an acclaimed blogger outreach expert and content marketer.

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