Why is training needed?
After one receives two degrees, a bachelor’s either in Mathematics or Engineering and a master’s in Data Science and Statistics, this question inevitably pops up. One might feel that earning those degrees has armed him sufficiently to get a job; however, unbeknownst to most, a data scientist has to have a strong business acumen and communication skills along with the degrees. An analyst, on the other hand, has to be extremely fluent in algorithms and administration of the collected data.
However, that is not the end of it. Pursuing a training course in Data Science can help one acquire knowledge about the key tools such as Statistical Analysis, Regression, Data Mining, R programming, Machine Learning Forecasting and Python.
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