Data is the new crude oil. And business success in the 21st century is heavily reliant on the ability to mine and use relevant data about consumers, internal operations, financial operation and industry trend to drive business decisions and make predictions.
UrBizEdge Limited, Nigeria’s leading business data analysis company is putting together this special training for proactive business professionals who already have some experience with business reporting and quantitative data analysis.
We will be focusing on building analysis models with R. We will provide you all the software and materials needed.
This training is coming up on a soon to be announced date. It covers our industry recognized certificate, practice materials, required software, tea break + lunch and other training materials.
The training will be facilitated by an officially awarded Microsoft Most Valuable Professional (MVP). And we have had participants of our training from Promasidor, Citi Bank, Dalberg, SaveTheChildren, Mobil, Total, Vodacom, Nestle, Guinness Nigeria, Nigerian Breweries, Delta Afrik, Biofem Pharmaceuticals, American Tower Corporation, LATC Marine, Broll, Habanera (JTI), SABMiller, IBM, Airtel, Diamond Bank, ECOWAS, Ministry of Finance, Palladium Group, Nokia Siemens Networks and DDB.
To register reach Michael on 08089382423 and firstname.lastname@example.org or Hannah on 08021180874 and email@example.com to register. There is a class size limit.
Date: To be announced
Time: To be announced
Venue: Kristina Jade Learning Center, 70b Olorunlogbon street, Off Alade Lawal street, Anthony Village, Lagos.
You can also sign up for our highly educative tutorial newsletters at http://blog.urbizedge.com/ and read/download our Data Analysis Industry Report for 2016 for your company use.
Access our free training Videos and Practice-along files
Below are the some training video links and the practice-along files to give you a tip of the value to expect.
Video 1: Demystifying Data Analysis, Business Analysis, Business Intelligence and Big Data
Blog Article: Tutorial On Creating A Frequency Distribution Chart With Microsoft Excel, R and Python