Analyst and Data Scientist Career Options

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 The following Skillset needed to succeed as Analyst or Data Scientist career.

DTD Frame work: Understanding and hands on experience of Data to decisions frame work.

SQL Skills: Experience to pull data from multiple sources. Hands on experience of Teradata, Oracle and Hadoop skills also useful

Basic Statistics Techniques: Hands-on experience with basic statistical techniques: Profiling, Correlation analysis, Trend analysis, Sizing/Estimation, Segmentation

Business Side Experience: Working with all business stake holders. Communication and influencing others.

Advanced statistics: Hands-on comfort with advance techniques: Time Series, Predictive Analytics – Regression and Decision Tree, Segmentation (K-means clustering) and Text Analytics (optional)

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