Curriculum
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High level overview of data science, business intelligence, analytics and data engineering with real world examples
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Statistics overview and descriptive statistics.
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Moments of Statistics, measures of spread, shape and errors of data.
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1. Function & it's type 2. Lambda Function 3. Module-Math ,Random 4. Exceptional Error handling
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1.Pandas Library --Series, Dataframe, Basics of Statistics
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Basics of Programming and python
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Python data structures, functions
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Basic concepts of pandas and numpy along with their functions
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Basics of Excel, Excel functions and Pivot Table
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Advanced excel and statistics using excel
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