What is big data?
If you will search on Google for a description of big data, it will give you the following answer;
“Extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions.”
Big data essentially is a huge set of data that is to be processed and analyzed to arrive at a conclusive information about your end consumer’s choices and preferences.
What are the tools to analyze Big Data?
• Hadoop
• Python
• R Programming
• Apache Spark
• QlickView
• RapidMiner
• SAS
• Tableau Public
• Knime
• Splunk
• Orange and many more
What to learn to become a data scientist or data analyst?
One is required to earn proficiency in the tools listed above to become a data analyst. A data science degree will provide you the opportunity to learn the tools. If you are in 12th, you can enroll yourself for a B.Sc in Data Science program. If you have already completed your bachelor degree, you can opt for an M.Sc in Data Science program.
The eligibility required?
To enroll into a data science course, you need to have interest in math. Knowledge in statistics is an additional benefit for you.
Both at the under-graduation and post-graduation level, students from science backgrounds are required for admission in a data science course.
The salary you can expect?
If you are a junior data analyst, you can any day expect a starting salary of at least Rs 30,000 per month. With experience the salary may go up to around Rs 15 Lakhs per annum!
Moreover, an academic background in the same is now in demand in the market. Hence, it gives data science students great opportunities to explore.
The posts you can hold?
You can be a –
• Data analyst
• System Analyst
• Data Engineer
• Operations Analyst
• Logistics Specialist
• Analytics Consultant
• Quantitative Analyst
• Machine Learning Engineer
• Data Science Generalist
• The Modeller
• Domain Specialist and more
The sectors that require data analysts?
Right from manufacturing industry to customer care, e-commerce to hospitality, healthcare to travel agencies, telecom to educational sector – Every sector in today’s competitive market requires data analysts to survive the tough competition and provide a customized service to their end customers.
The job opportunities are enormous wherein the demand is high and the supply of professionals is comparatively low as per the demand. The remuneration is also high and the proficiency is not available in the market very easily.
Hence, if you are good in math and statistics and want to set up a flourishing career in data analytics or data science, get into a data science course.
If you will search on Google for a description of big data, it will give you the following answer;
“Extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behaviour and interactions.”
Big data essentially is a huge set of data that is to be processed and analyzed to arrive at a conclusive information about your end consumer’s choices and preferences.
What are the tools to analyze Big Data?
• Hadoop
• Python
• R Programming
• Apache Spark
• QlickView
• RapidMiner
• SAS
• Tableau Public
• Knime
• Splunk
• Orange and many more
What to learn to become a data scientist or data analyst?
One is required to earn proficiency in the tools listed above to become a data analyst. A data science degree will provide you the opportunity to learn the tools. If you are in 12th, you can enroll yourself for a B.Sc in Data Science program. If you have already completed your bachelor degree, you can opt for an M.Sc in Data Science program.
The eligibility required?
To enroll into a data science course, you need to have interest in math. Knowledge in statistics is an additional benefit for you.
Both at the under-graduation and post-graduation level, students from science backgrounds are required for admission in a data science course.
The salary you can expect?
If you are a junior data analyst, you can any day expect a starting salary of at least Rs 30,000 per month. With experience the salary may go up to around Rs 15 Lakhs per annum!
Moreover, an academic background in the same is now in demand in the market. Hence, it gives data science students great opportunities to explore.
The posts you can hold?
You can be a –
• Data analyst
• System Analyst
• Data Engineer
• Operations Analyst
• Logistics Specialist
• Analytics Consultant
• Quantitative Analyst
• Machine Learning Engineer
• Data Science Generalist
• The Modeller
• Domain Specialist and more
The sectors that require data analysts?
Right from manufacturing industry to customer care, e-commerce to hospitality, healthcare to travel agencies, telecom to educational sector – Every sector in today’s competitive market requires data analysts to survive the tough competition and provide a customized service to their end customers.
The job opportunities are enormous wherein the demand is high and the supply of professionals is comparatively low as per the demand. The remuneration is also high and the proficiency is not available in the market very easily.
Hence, if you are good in math and statistics and want to set up a flourishing career in data analytics or data science, get into a data science course.
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