Business Analytics or Data Analytics is an extremely high-in-demand profession which requires a professional to possess sound knowledge of analyzing data in all dimensions and uncover the unseen truth coupled with the logic and domain knowledge to impact the top-line (increase business) and bottom-line (increase revenue).
Also Google Trends shows the upward trajectory with an exponential increase in volume of searches like never seen before. This is proof enough to back the statements made by Harvard Business Review and the business research giants, that Business Analytics will be the most sort after professional world has ever witnessed.
Data for a Data Scientist is what Oxygen is to Human Beings. This is also a profession where statistical adroit works on data – incepting from Data Collection to Data Cleansing to Data Mining to Statistical Analysis and right through Forecasting, Predictive modeling and finally Data Optimization. A Data Scientist does not provide a solution; they provide most optimized solution out of the many available.
Gartner predicted in 2012 that Data Scientist & Business Analytics jobs will increase to the tunes of Millions by the end of 2015. This is very evident with the rise in job opportunities in various job portals. As a Data Scientist or an aspirant you should not believe us. Go! research for your own and confirm the facts and figures.
Professionals who can consider Business Analytics / Data Analytics Certification Training as a next logical move to enhance in their careers includes:
Accrue knowledge on dealing with data by getting trained and/or certified by any of the well-known institutes which have rich experience working closing with the ever evolving industry.
Knowing data analytics tools or data mining software alone will not help you analyze data.So WHAT else is required?
One should possess Domain/Sector/Industry knowledge and learn relevant concepts to strike the right nail. A few such examples which are not limited to those mentioned are:
We can tag the data to our personal doctor who will monitor and inform us on what diseases we are likely to be infected with and what precautions should be taken to avoid it. Sounds WOW!
Number of coupons sent versus number of purchases & Number of coupons sent versus amount purchased are the key Business metrics captured & evaluated to enhance the prediction model. Amazing, isn’t it!
Data Analytics, Business Analytics & Data Science are the same with just 2 different names. The name of the role of people working in this profession is called as Data Scientist.
Data analytics is a profession which caught the attention of the world only since 2 years. Because of this very reason most companies are struggling to close the demand-supply gap. Hence, people who are trained and have decent exposure towards the data analytics techniques are recruited immediately.
There are a lot of job opportunities in various job portals for freshers. The key thing employer would be keen to know is whether you have the conceptual knowledge or not. The projects provided by ExcelR in various concepts will only reinforce your learning to make you market ready for the jobs.
We understand that human brain can grasp only so much. Hence, we record all the sessions and provide access to the e-learnings to the trainees for the rest of their life.
Yes and No. Yes in the sense programming skills would be required & No in the sense one need not have extremely strong programming skills. However, we at ExcelR ensure that you get sufficient exposure on the statistical programming tool called ‘R’. We start right from the basics assuming you do not have any exposure towards programming.
R has approximately 50% market share & it is open source (free of cost). Hence, R is very lucrative in the analytics space. Almost all the jobs are asking for experience & exposure in R. Demand for other statistical tools is decreasing steadily & hence it is recommended to be futuristic and invest time in learning R.