DATA ANALYTICS COURSE: THE REQUIREMENTS

1. DATAANALYTICSCOURSE:THE REQUIREMENTS In today’s world that’s so heavily dependent on data, data analytics is an extremely vital domain, given that 90% of the data came up in just the past 2 years. Thus, data analysts are becoming increasingly popular and requested. A data analyst essentially acquires insights by collecting, processing and visualizing structured data to benefit industries. This data covers a range of sources like sales figures, advertisement rates, and market shares and others. Put simply, a data analyst is ascribed with helping an organization make better business resolutions from cost-cutting arrangements to launching newer products in more countries. Impliedly, the bigger the industry or organization, the higher the numbers which creates a dire need for data analysts. Such large amounts of data and numbers can appear to be quite byzantine for the layman. This is where a professional data analyst plays his part. He works on this seemingly knotty situation and brings it to a state of simplicity by capturing, aggregating and correlating the required data and then converting it into a structure that is easy to visualize and report. Thus, at the end of the day, any organization that is digitally driven requires a thriving data analyst professional who has undergone the right data analytics course to convert its data into a treasure trove. Becoming a data analyst requires impeccable training. Such courses are easily available given the recognition that data analysis is receiving currently. The question is, why? Why should anyone take up a data analytics course? There are many reasons why one could consider data analytics as a career option! Some of these are the huge growth opportunity, experiencing exciting workplace environments, not being limited to a single type of job, but choosing between multiple specialties under the umbrella term ‘data analyst’ such as a marketing / sales/financial/operations analysts and being able to make a difference to the organization you work for. If these aren’t appealing enough, there is also the scope for attention because who doesn’t want some! On a moreseriousnote,dataanalystsareontheirwaytobecomingtheheroesof

2. the digital world and are increasingly required in every industry. Train well and you’ll have organizations running after you to place them on their road to success, which without a good data analyst, might forever be ‘under construction’. This would then lead to being able to look at large numbers, not only as part of your job but also what goes into your pocket. That’s right - big money will follow where there is substantialgrowth. A data analytics course typically lasts anywhere between 3 to 6 months and covers topics such as introduction to big data and its handling; data analytics using programs such as Python, SAS, Excel etc.; OOP concepts; data extraction and manipulation and correlation; and hands-on work experience with real-time projects. Some courses may also involve the basics of statistics, charting techniques and other relevant skills. For all those who despise math, data analysts aren’t expected to be mathematicians, but only have to comprehend the apt methods of numerical techniques so as to analyze data in multiple ways, tailored to suit theorganization. Thus, data analytics can deliver the much-needed job satisfaction that lets you choose a specialty of your predilection and grow in it. All this, while commanding attractive salary figures and relishing the gratuities of yourjob!