Data science in commercial settings is fundamentally about translating and connecting business questions into computer and data science faculties and then translating it back into business processes. So, in order to connect all the “dots” in as efficient way possible, one has to have deeper understanding of dots itself, sequence in which they appear before one…Read more
About: Goran Dragosavac
Recent Posts by Goran Dragosavac
[mp_row] [mp_span col="12"] While most of data science courses focuses only on specific aspects and tasks of data science and how to do them in specific technology, this course covers them ALL. Course gives you detailed map of data science landscape so that – where ever you land, you know how to navigate. It teaches…Read more
There seem to be abundance of data science training programs available online and offline, however they all seem to jump into technical aspects far too quick without laying proper foundation of data science and everything related. Data science concepts such as methodology, feature engineering, data science applications, its value proposition, best practices – are…Read more
Five point-strategy to avoid analysis-paralysis Analysis-paralysis - sounds familiar? Almost, as if you are driving on ice, engine is loud, wheels are spinning - but you not really moving forward. Here are strategies that may help you dealing with this serious data science condition: Realize that chasing perfection is chasing shadows. And simply stop…Read more
Recent Comments by Goran Dragosavac
- September 11, 2018 on Analytics in banking
- March 2, 2018 on How Quantum Computers Work?
- March 2, 2018 on How to Use Big Data Analytics to Calculate Customer Lifetime Value?
- March 2, 2018 on What is the Big Data? (part 3)
- March 2, 2018 on How Big Data And Logistics are Working Together