Data Science

As data storage methods become increasingly cheaper, the amount of data given out and stored by various fields of study including Biology, Chemistry, Finance, Business Management etc. has increased invariably. Analysis of these humongous chunks of data manually is becoming highly inefficient, erroneous, and exhausting. Training computers to form hypotheses using training datasets and then using these computers to analyze trends, make predictions etc. is the way for the future. This brings us to the vast field of data science that encompasses data wrangling, data visualization, machine learning, mathematical and statistical methods, and use of computer science for the creation of efficient algorithms.
Success and failure of businesses today is highly dependent on the efficient analysis of trends and ingenious predictions based on business data. This efficient business analytics and business intelligence is realized through the merging of business data and business knowledge with techniques in data science.