Kick start your career in data science and data engineering with a course from EDSA
By: EXPLORE Data Science Academy
The two online courses on offer in July are:
Shaun Dippnall, CEO of EDSA, says, "Businesses are awash with data. Organisations from a variety of fields are unlocking the power of big data and using this to drive strategy and competitiveness. However, there is a growing disconnect between the demand for data scientists and supply entering the market."
The EDSA has designed its online courses specifically to address the shortfall in the supply of these in demand skills, producing work ready candidates able to solve real world problems.
According to a recent report by South Africa's Standard Bank, 'There is a massive opportunity for Africa, given its young population, to skill its people appropriately for the future. In particular, there is a high demand for data science capabilities.'
Employment possibilities in Africa post-study for successful graduates are excellent.
"We have a track record of 95% work placement within three months of our graduates completing our courses at above average starting salaries. In addition, we have a flourishing recruitment division that can assist our graduates with placement, where necessary. About 30 percent of our graduates have also been placed on projects through our EXPLORE-AI consulting division, which takes on outsourced international data science projects.
Although EDSA is a South African academy, its graduates have already made their mark in the United Kingdom, for example, where more than EDSA-trained 70 data scientists are working with Thames Water, the UK's largest water and wastewater services company.
Dippnall adds: "The Thames Water success story validates our decision to move out of the South African context and take our place on the world stage.
Dippnall concludes: "My suggestion to anyone out there interested in a brilliant new data science career is this: apply now. After all, what have you got to lose?"
Interested candidates can register before July 12 at www.explore-
EXPLORE Data Science Academy