Data Analytics

Data analytics can be used for both analysis of quantifiable numeric data which can be compared or qualitative data in forms of text and images and other media. Data analytics involves predictive analysis which runs through huge amount of data from a homogeneous data set to identify patterns and predict future events which could be used to make informed business decisions. Data analytics studies the relationship between data sets and data subsets to facilitate machine learning to churn through humongous amounts of data through set algorithms.

The availability of such advanced and dedicated analytics techniques sees application in a lot of fields like digital advertisements where advertisers predict what will attract your interest through your purchase and browsing history, E-Commerce where the companies can analyse user search interests and provide real time suggestions and buying tips and offers or health organizations which keep track of your medical history and the medical reports of various treatments and medicines to ascertain their effectiveness and efficiency. Data Analytics certification means that the individual is competent in collecting, preparing, integrating and analysing data through different techniques and algorithms to extract relevant information within it.

Certified Analysts

A data analytics certification goes a long way in establishing you as an important asset in any company that you choose to work for. A data analyst affects policy decisions and is monumental is proving or disproving existing or proposed theories and is responsible for examining current business models of the companies to provide shortcomings and possible methods for improvement. A certified analyst advises the corporation on what’s working and what’s not and what should be the future course of action based on past statistics and current market trends and user behavioural patterns. All of data is merely a tool for the data analyst to make sense of, to find order in the ever present chaos.


Why is a Data Science course?

After the completion of data science course, the data scientist is employed by various corporations to analyse their user data and find out the prevailing trends and patterns of the market. Data scientists write deep learning programs that learn from the work they have already done to provide more efficient results in future operations. These deep learning programmes need to be constantly provided with the required algorithms needed to process the data they are ingesting to churn out the needed analysis.  A data scientist stands at the forefront of market research and is responsible for providing corporations with accurate representation of market situation, product performance, and user behaviour and is supposed to ascertain future products and trends that will be popular in the market. They use current market trend and user behaviour to predict future market opportunities and help the corporations grow. Data Science course requires the individual to be a competent programmer with a firm grasp on statistical mathematics and a business insight to drive the research into new and exciting directions which yield desired results.