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
14 years experienced, dynamic and result-oriented Management Consultant & Data Scientist. More than five years of experience in employing data science techniques such as Linear & Logistic Regression, Cluster Analysis, Factor Analysis, Decision Tree, KNN, NLP and Deep Learning algorithms(ANN, RNN) using R, SAS, Python to bring about fundamental improvements in strategy, processes & profitability. Experience of working on projects of Customer Segmentation, Churn Prediction, Sales Analytics and more.
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