Michael Lazarou
Michael Lazarou manages revenue assurance and fraud at Epic, a Cypriot telco, having joined their RA function in March 2011. His background includes a double major in Computer Science and Economics, as well as an MBA. Before being lured into the exciting world of telecoms he worked as a software developer.
Michael is interested to gain a better understanding of different aspects of RA and data analysis. He shares his insights on training courses he participates in with Commsrisk.
Articles by This Author
DAND: Udacity Data Analyst Nanodegree Project 4
The walkthrough and review of this online course continues with a module about exploratory data analysis, as taught by data scientists from Facebook.
DAND: Udacity Data Analyst Nanodegree Project 3
How do you audit the validity, accuracy, completeness, consistency, and uniformity of your data? That is covered by the third module of this online course.
DAND: Udacity’s Data Analyst Nanodegree – Review Of Project 2
My review of this online course moves on to wrangling: the acquisition and cleaning of data.
Developing a Curriculum for Risk and Assurance
Two years ago I challenged Commsrisk Editor Eric Priezkalns to answer my questions about RAFM training. Those questions have not yet been answered.
DAND: Udacity’s Data Analyst Nanodegree – Review of Project 1
This well-designed course opens with a refresher in statistics.
Studying Data Science: Reflecting on the Path
This embedded Prezi presentation visualizes the variety of data science courses on offer, and the conceptual links between them.
Studying Data Science: The Analytics Edge (Final review)
This is a good course that provides a solid foundation in data science. However, the amount of homework and deadlines for completion will pose problems for anyone with a busy life.
Studying Data Science: Data Ethics (Final review)
The content of this edX course was solid but the way the material was presented could have been improved.
Studying Data Science: The Analytics Edge (Week 6)
Homework deadlines are proving a challenge as week 6 of the edX course tackles the idea of clustering.
Studying Data Science: The Analytics Edge (Weeks 4-5)
Week 4 dealt with classification and regression trees whilst week 5 focused on the processing of natural language.
Studying Data Science: Data Science Ethics via edX
This course looks promising; it starts by trying to establish a firm foundation for ethical enquiry.
Studying Data Science: The Analytics Edge (Week 3)
This edX MOOC continues by covering logistic regression and the maths involved in a real-life research study.