If you are passionate about computers, mathematics, and finding solutions to minor and major problems through data analysis, then a career in data science is what you should pursue. Join our webinar to find out what options you have.
Live Class: Wednesday, 19 Oct
Enrolled: 1
Duration: 1 Hours
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 working professionals, job seekers and graduates who have completed
under graduation in any discipline.
Below are some
of the careers you can break into with a Data Science course.
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
A Data Scientist worked with Python, Excel, and Tableau ETL using cloud service and tools and worked as a Data Science Trainer to mentor trainees in these contents Contents Covered - Python, R, Statistics, Machine Learning, NLP, Artificial Intelligence, Excel and, Tableau.
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