There has never been a better time to be a Data Scientist than now. And today, you don’t need to have an engineering or computer science background to learn Data Science. What is even more interesting is that the demand for data scientists will only grow, as organizations are increasingly relying on data-driven insights.
This webinar is open to students, graduates who have completed under graduation in any discipline, working professionals and job seekers.
Below is a list of careers that are possible with Data Science:
1. Data Scientist
2. Machine Learning Engineer
3. Machine Learning Scientist
4. Applications Architect
5. Enterprise Architect
6. Data Architect
7. Infrastructure Architect
8. Data Engineer
9. Business Intelligence (BI) Developer
10. Statistician
Data Science is a vast field. Trying to understand the length and depth of this subject on your own is difficult. Join our Webinar to clear all the doubts you have.
Innovative, Research Oriented, Quality Minded and result oriented Disruptive Data Scientist with 26+ years of experience executing data-driven analytical solutions to increase efficiency, accuracy and utility of internal data processing. Master in Experiential Learning methodology. Experienced at creating predictive data models, BeSpoke ML/DL algorithms for efficient AI and analyzing data mining algorithms to deliver insights and implement action-oriented solutions to complex business problems
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