Solved many problems related to Census, Olympics, Energy using Data Science Techniques and methods. Also, performed Hypothesis Testing.
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Develop basic Python programs using strings, functions, lists, dictionaries, date/time features, and files.
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Use advanced Python features, including lambdas, list comprehensions and the numpy library.
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Create Series and DataFrame Data Structures.
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Use pandas math functions, as well as broadcasting features.
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Employ the pandas library to import and manipulate data.
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Apply indexing and querying to DataFrames, and deal with missing values.
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Apply merge and join on DataFrames.
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Employ slicing and indexing on DataFrames.
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Analyze data with groupby and understand categorical variables.
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Produce the entire process of data source to elucidation.
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Examine the data by manipulating, cutting, and applying aggregate functions to DataFrames.
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Generate summary tables, group data into logical pieces, and manipulate dates.
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Statistical techniques such a distributions, sampling and t-tests.
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Recognize different distributions such as binomial, uniform, normal, and chi-squared
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Interpret data to evaluate hypothesis tests