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Working knowledge of Data Science Tools such as Jupyter Notebooks, R Studio, GitHub, Watson Studio
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Python programming basics including data structures, logic, working with files, invoking APIs, and libraries such as Pandas and Numpy
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Statistical Analysis techniques including Descriptive Statistics, Data Visualization, Probability Distribution, Hypothesis Testing and Regression
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Relational Database fundamentals including SQL query language, Select statements, sorting & filtering, database functions, accessing multiple tables