Taking Advantage of a Quiet JanuaryA blog by Pamela Yates
Many of us are aware of the major steps taken in the field of data analytics over the past few years. With access to large amounts of data, and the capability to use data and analytics to solve business problems, skills in this area are becoming increasingly valuable, whatever your background or position in an organisation.
As a term, data analytics predominantly refers to an assortment of applications, from basic business intelligence (BI), reporting and online analytical processing (OLAP) to various forms of advanced analytics. There has been a proliferation of self-service infrastructure and tools designed to automate many of the technical but repetitive tasks involved with data cleaning, preparation and analytics. This means that staff are increasingly able to carry out complex data-driven operations such as predictive modelling and automation without getting their hands dirty coding complex algorithms from scratch.
You may not be looking at data analytics as your core capability but understanding the principles and basics of data analytics is of value whether you are a business analyst or project manager. So, if you are looking at upskilling in the area of analytics the following on-line courses may be for you.
Forbes have identified their top free on-line courses. (Sort of free, you may need to pay for certification). And we suggest you read the reviews. Some are more digestible than others!
IBM has a range of free data science courses which introduces you to Data Science from a practitioner point of view. The courses discuss topics such as data compilation, preparation and modelling throughout the life-cycle of data science from basic concepts and methodologies to advanced algorithms. It also discusses how to get some practical knowledge with open source tools.
Then there is MOOC which provides you with access to courses from the likes of Harvard University to Google.Posted on: November 26, 2018
A blog by Pamela Yates