I suppose you are working as a Data Analysts, then I am sure you understand what the job is all about.Data Analysts is all about managing the data and preparing it in a way that when required, just one glance and the person gets all the information.As such your job is the most important job profile, as everyone would be depending on you for their filing and getting data.As such here you would require good analytic skills, computer skills and high statistical knowledge.Your course in MCA is quite different from your current job profile. MCA is more into managing the software and its application

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in Data scientist category

Dear student, Thanks for posting your query on CareerGuide.com. How do you take a decision? Most people consider their past experiences, guage future possibilities, weigh the pros and cons of the situations and possible outcomes and take a decision accordingly. In the work of business, this is what data scientists help to do. Data science is the use of many techniques to derive meaning from relevant data that often drive business decisions. Therefor it is sometimes also alled as business analytics. Most of the times it is a combination of maths, statistics, advanced com

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in Data scientist category

No doubt All are fake

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in Data scientist category

With a higher growth in the context of usage as well as data among each and every user in the corporate ecosystem. The analytics approach in order to calculate different metrics for an organization or big company is turning out to be a very humongous task, as the data set is getting bigger and bigger and replicating itself exponentially every moment. So due to this, the process to analyze the data and look out for a different and more effective technique to find the outcomes and insights of data set becomes a more difficult task. In short, with a wide increase in data due to more users and con

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in Data scientist category

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in Data scientist category

Dear Aspirant, Both - Pricing as well Data are very good career options where numerical ability and analysing ability is of paramount importance and requirement. It is upto you to think, analyse and decide which of them is good for you. Best wishes

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in Data scientist category

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in Data scientist category

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in Data scientist category

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in Data scientist category

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in Data scientist category

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in Data scientist category

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in Data scientist category

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in Data scientist category

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in Data scientist category

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in Data scientist category

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in Data scientist category

0 answer
in Data scientist category

With a higher growth in the context of usage as well as data among each and every user in the corporate ecosystem. The analytics approach in order to calculate different metrics for an organization or big company is turning out to be a very humongous task, as the data set is getting bigger and bigger and replicating itself exponentially every moment. So due to this, the process to analyze the data and look out for a different and more effective technique to find the outcomes and insights of data set becomes a more difficult task. In short, with a wide increase in data due to more users and con

1 answer
in Data scientist category

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in Data scientist category

No doubt All are fake

4 answers
in Data scientist category

Dear Aspirant, Both - Pricing as well Data are very good career options where numerical ability and analysing ability is of paramount importance and requirement. It is upto you to think, analyse and decide which of them is good for you. Best wishes

1 answer
in Data scientist category

Dear Aspirant, Data Sciences / Analysis is now in big demand and shall remain the future of Analytics. Ideal path to become a Data Scientist is to first become a Data Analyst. For this, you can do BSc Maths / MSc Maths / BSc Statistics / MSc Statistics to begin with. Maths and Statistics is the base for data analysis. Later as you gain experience, you can excel in the field and do a course in Business Intelligence, etc. Business Analytics courses are also available after graduation however s a strong command over Maths and Statistics is inevitable. Best wishes

4 answers
in Data scientist category