Data Analytics

Business Analytics or Data Science or Data Analytics is the science of scrutinizing raw data using analytical tools to make sound conclusions about that information.

The Business Analytics certification course is exclusively designed to provide in-depth knowledge of analytical practices – from framing business and analytic problems to procuring data, methodology, model development, deployment, model lifecycle management and creating reports.

Sipnatech offers hands-on training for all those aspirants who wish to pursue a career in the fields of Data Science, Artificial Intelligence, Data Visualization, Statistics, and Analytics.

Our curriculum is meticulously designed to hone your know-how in data analytics and help you master the application of data science concepts, theories, and practices. The global demand for data scientists continues to rise at a rapid rate, owing to its significance across various sectors.

Even Google Trends depicts an upward trajectory with an exponential increase in the volume of searches like never seen before. The report demonstrates that Business Analytics will be the most sought-after profession the world has ever witnessed – both in terms of salary and growth.

What is a Data Scientist? Or Rather Who is a Data Scientist?

A Data Scientist is a statistical professional who extensively works on Big Data to derive valuable business insights from it. These professionals are a new breed of analytical data specialists who possess high-level of technical skills to solve intricate business problems.

A data scientist must master the complete spectrum of the data science life cycle – starting from data accumulation, data cleansing and data mining to statistical investigation and right through forecasting, predictive modelling and ultimately data optimization.

The day-to-day activities of a data scientist can sometimes be predictable while at times they are somewhat out of the ordinary. Data scientists are gaining prime importance with each passing day.

By 2020, the demand for Data Engineers, Data Scientists, Data developers, and AI professionals is expected to grow further by 40%, thereby paving the way for more and more lucrative job opportunities.