Data science, the term still sounds fancy in today's tech industry. However, in reality, it has been around this universe for nearly a hundred years now. In the 1970s, Bayern's theorem taught that having an initial belief with the help of newer data would lead toward a path of improved belief. A career in data science would be an ideal career choice in the job market. It is … [Read more...] about What Difference Will 2020 Bring for a Data Scientist
big data engineer
DataCon Africa 2020
Moving Towards a Data-Driven & Data-Centric Future DataCon Africa - A World-Class Data Analytics Event Helping Build Data Analytics-Driven Enterprise Across Africa DataCon Africa has become a firm favourite in the African data analytics events calendar in just 2 years. Valuable is one way to describe it. Fun is another. DataConians received their own branded … [Read more...] about DataCon Africa 2020
DataCon Government 2020
Using Data Analytics to Improve Service Delivery & Citizen Experience A Leading Event for Data Analytics Professionals Across All Levels of Government' Building Data Skills | Sourcing Quality Data | Managing Data Privacy Experience a World-Class Corinium Event DataCon Government 2020'is one of a kind in the African region. It tackles specific challenges that the … [Read more...] about DataCon Government 2020
The 4 Big Data Positions to Fill to Create a Successful Analytics Team
For a few years now, big data has been one of the hottest types of business technology around. The high-visibility big data successes like Amazon, Facebook, and Netflix have sent everyone from Fortune 1000 businesses to SMEs of every kind scrambling to climb aboard the big data train. In the process, they've created a labor market that's short on experts, and that has seen some … [Read more...] about The 4 Big Data Positions to Fill to Create a Successful Analytics Team
Data Mining and Engineering in Finance
This'marcus'evans'conference will drive initiatives to build an ecosystem of quality data for trade and risk, through embedding data quality efforts within the use of a central data repository, the application of synthetic and legacy data, the role and limitations of machine learning, and use of appropriate data visualisation techniques. As the volumes of data held by … [Read more...] about Data Mining and Engineering in Finance