Data Science Certificate: What is Data Science? Data science is a multidisciplinary field that extracts data and turns it into meaningful insights which could prove beneficial for decision making in business.
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What are the Disciplines involved in Data Science? A data scientist may draw upon many disciplines, but the most important are:
- Statistics
- Mathematics
- Computer science
- Information science
Importance of Data Science
Statisticians have been crunching data for businesses for years. So, how does data science change the game up? The answer lies in how the data is used – a data scientist uses many tools such as programming, machine learning algorithms and more to get a wider perspective. Moreover, statisticians work on historical data and provide reasons as to why a particular event occurred. On the other hand, a data scientist can extrapolate data and make predictions. This of course, is informed decision making, where the data scientists use predictive casual analytics, machine learning, and a host of other tools.
Cornerstones of Data Science
The most important pillars of data science are mathematics, information technology, domain or business knowledge and communication. Of course there are other skills which are highly sought-after. However, these are the most fundamental skills that a data scientist must possess. Another important aspect that a data scientist must fulfil is to leverage data. Massive amounts of raw data must be transformed into meaningful insights which will aid businesses to make decisions and achieve goals.
What are the Goals of Data Science?
Following are a few of the common goals of data science:
- Forecasting
- Recommendation
- Recognition
- Grouping
- Actionable insights
- Optimization
- Segmentation
Besides the above stated goals, there are many other requirements and necessities that vary from industry to industry. For instance, the popular streaming service Netflix uses the data collected from their subscriber base to discover customer behaviour and viewing patterns. Based on that information, movies and TV shows are recommended based on those preferences.
Getting Certified
As stated above, there are quite a few domains that a data scientist must rely on. Above all, the data scientist must also have a business-mind, which can translate data into insights that can drive business processes and goals.
One needs to understand that there is no strict course to pursue in order to become a data scientist. There are many paths that lead to a career in data science. However, there are some prerequisites – such as a bachelor’s degree in either IT, science, computer science or other allied fields. Having a Master’s degree in data as well as business is also an added advantage. The other route is to take up specialized degrees or certifications in data science which are offered by educational institutions and colleges.
In conclusion, becoming a data scientist is no easy task. However, with the right mindset and dedication, it is possible to achieve that goal. Moreover, data science is a rising field, with prospects for a suitable career increasing every day.
FAQ’s on Data Science Certificate
Question 1.
What is Data Science?
Answer:
Data science is a multidisciplinary field which transforms large quantities of raw data into meaningful insights for informed decision making in business.
Question 2.
What are the fields/ disciplines involved in Data Science?
Answer:
Mathematics, especially statistics and related subjects are quite important. Furthermore, computer science and information science are one of the most important pillars in data science. Having knowledge about business or domain knowledge is also required to become a successful data scientist.
Question 3.
What does a data scientist do?
Answer:
A data scientist must leverage data and transform it into meaningful insights which will aid decision-making processes in business or realize organisational goals.
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