Both Data Science and Business Analytics add a lot of value to the companies, and the profit drawn is reaped by these big companies as well. This calls for hiring proficient developers and experts both for Data Science and Business Analytics roles.
We will review the following ideas on this Data Science vs Business Analytics career path blog:
Table of Content
Let’s learn about the key differences between Data Science and Business Analytics now!
To gain a quick insight into the roles that are involved, corresponding to handling data, take a look at this:
Who are Data Scientist and Business Analyst?
Responsible for solving data-related problems to bring a sense of usefulness to the company by converting a raw entity, such as data, and applying transformations onto it to eventually convert it into useful information.
Responsible for handling the business decisions that take place in day-to-day activities. A Business Analyst acts as a bridge to actively gap the differences between the working of IT and the business side of operations.
In today’s competitive and enthusiastic world, there are a lot of people aspiring to build a career around these technologies. But to do so, it calls for immense research, clarity, and oversight about which career path would be the right one for you!
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The Role of Data Science in IT Firms
Data scientists are part of the front line in production environments and most IT firms who handle data collection procedures and perform organized analysis and tying it all up later by using numerous tools and techniques. You can enjoy your career in data science with the demand for an individual with these Data science skills keeps on increasing.
A Data Scientist will have technical skills that are invaluable while working with data collection and analysis.
Algorithm design for collecting and analyzing data in order to eventually help deploy them to various systems spread over networks is a very crucial skill.
Mathematics and concepts of Machine Learning and Deep Learning take center stage when one talks about how to become proficient in that field. Emphasis upon these concepts is rightly so because the job demands lot of trend seeking and extraordinary predictive analytics ability.
A certification with a focus on Data Science will not only help students or enthusiasts acquire the skills required for industry but also eventually secure good jobs.
Data Science Skills
Following are some of the skills and tools that a Data Scientist must have in his/her arsenal:
A Data Science role can stretch across many dimensions, from a Research Scientist role to even a Senior Data Analyst role. Great knowledge of Data Science is required for an Expert Data Analyst
Something that is sure of the facts, in this world, businesses are ruled by data, and that adds immense value to the field as well as confidence of the learners.
Next in the row of this Data Science vs Business Analytics blog is the knowledge of all things business analytics.
The Role of Buisness Analytics in IT Firms
Business Analytics is all about the world of extracting data from structured and unstructured datasets
Data dictates some decisions that are used to retrospect past performances, analyze current standings, and forecast possible future performance
A business analyst is engaged in assisting the business leaders with providing them sufficient information and analytics results, that will drive the company to success. The core aspect of Business Analytics lies in the foundational concepts of statistical analysis and data management. Along with this, business analysts also need to be well-equipped in analytical planning and predictive analytics
Business Analytics is a field revolving around data visualization. It forms a part of this career path as it happens to be one of the elegant ways to provide insights to the leaders based on the analysis.
Next in this Business Analytics vs Data Science blog post, let us look at the vital skills that a Business Analyst must possess
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Business Analyst Skills
Following are a few of the technical and business skills that aspiring Business Analysts should consider having:
- Programming skills
- Statistical analysis
- Data querying tools
- Business Intelligence tools
- Data mining
- Analytical problem-solving
- Data visualization
Since you already probably guessed this, since the heart of all businesses around the globe is data analysis, more than sufficient job opportunities are being developed each day.
The certification in Business Analytics will enable prospects and learners to get such jobs as Systems Analyst, Senior Business Analyst, Lead Data Analyst, among others.
The difference between Data Science and Business Analytics should be clear by the end of the following section
Career Paths for Data Scientists and Business Analysts
A Data Scientist’s core strengths are research involvement, good code writing, and mathematical knowledge. The same goes along the career path as well. On the other hand, the business analyst has to do with developing strategies, business-driven insights building, and many others.
One can compare the skills and will easily notice that the role of a Data Scientist is, in fact, more technical as compared to that of the Business Analyst when viewed comparatively.
You must understand the fundamental differences that lie in Data Science and Business Analytics job
The following is the order in which a Data Scientist and a Business Analyst can go about climbing the corporate ladder in the respective domains:
- Data Scientist
- Senior Data Scientist
- Chief Data Scientist
- Entrepreneur
Coming to a Business Analyst:
- Business Analyst
- Senior Business Analyst
- Analytics Expert
- Strategy Leader
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Which is a better career option for you?
Well, let’s look into some facts first before proceeding with discussion as to what career one must choose: Markets and Markets reports highlight that by the end of 2024, Data Science shall reach as high as USD 140 Billion; similarly, by then Business Analytics market size shall increase up to the level of USD 100 Billion. It is expected that both the domains will progress further and be a great career choice. The only point that needs to be considered is what role you find interesting and which you would love to do.
While data scientist and business analyst jobs sound similar, they are distinct in terms of usage and application in an organization. Data science is typically based on complex and very precise problem-solving for the long term growth of the company whereas a business analyst is required by analytics to the business side of an organization. He drives a lot of data-driven business decisions and is responsible for speaking about IT and management simultaneously as well.
As a Business Analyst, you would work with tools such as Excel, Tableau, SQL, Python. On the other hand, the widely used tools of a Data Scientist are R, Python, Keras, scikit-learn, etc. Sometimes, the two roles might overlap based on the preferences of the organization or decisions made, etc. Therefore, knowledge and understanding of the exact day-to-day job in both the roles are crucial before taking a career path decision
Be it a role of Data Science or Business Analysis, the scope of job opportunities are close to endless. Concepts that are very elegantly meant to be learned and implemented to solve a vast range of problems. Whether Data Science and Business Analytics salary or whatever- the numbers have been impressive both in the United States as well as the rest of the world.
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Conclusion
We hope this clears the air for the differences between Data Science and Business Analytics!
The important take away is that every one of these career options boasts a variety of merits. Depending upon what is your choice and the factors you’ve gone through, you might carry on to consider any one of the top career options to follow!
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