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Data Science is a multidisciplinary domain that includes working with huge amounts of data, developing algorithms, working with machine learning, and more to come up with business insights. You will work with huge amounts of data. You will clean the data, prepare it, convert it into a format through which you can derive valuable insights for the purpose of decision making.
BTech Data Science syllabus comprises 8 terms or semesters including subjects related to computer technology and data science. The course also involves elective subjects too. Few of those subjects are listed below:
To find out, ask yourself: Do you . . .
Data Scientist = Programmer + Computer Scientist + Mathematician + Storyteller + Domain Expert
Data scientist
A data scientist is one who works with huge amounts of data to come up with compelling business insights through the deployment of various tools, techniques, methodologies, algorithms, and so on.
Some other names for “Data Scientist”
in simple terms, a data scientist’s job is to analyze data for actionable insights.
Specific tasks include:
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Data Science jobs pay an average of 15 to 25 Lakh per year.
It is estimated that by 2018, India could have a shortage of 140,000+ people with advanced analytical skills & need 1.5M managers/analysts that can make decisions based on data analysis
1.Data analyst
A data analyst is entrusted with the responsibility of mining huge amounts of data, looking for patterns, relationships, trends and so and coming up with compelling visualization and reporting for analyzing the data to make business decisions
2. Data engineer
The data engineer is entrusted with the responsibility of working with large amounts of data. He should be available to clear data cleansing, data extraction, and data preparation for data business for working with large amounts of data.
3. Machine learning expert
The machine learning expert is the one who is working with the various machine learning algorithms like regression, clustering, classification, decision tree, random forest, and so on.
4. Data scientist
Some of the major applications of data science are as below:
Tools for Data Scientist
Advanced Analytics Tools
Flume, NumPy, Pandas, Scipy, Spark