vishnukanduri/introduction-to-data-science

Get Started with Data Science. Understand how to apply different Data Science methods to solve real-world problems.

Introduction-to-Data-Science

Solved many problems related to Census, Olympics, Energy using Data Science Techniques and methods. Also, performed Hypothesis Testing.

• Develop basic Python programs using strings, functions, lists, dictionaries, date/time features, and files.

• Use advanced Python features, including lambdas, list comprehensions and the numpy library.

• Create Series and DataFrame Data Structures.

• Use pandas math functions, as well as broadcasting features.

• Employ the pandas library to import and manipulate data.

• Apply indexing and querying to DataFrames, and deal with missing values.

• Apply merge and join on DataFrames.

• Employ slicing and indexing on DataFrames.

• Analyze data with groupby and understand categorical variables.

• Produce the entire process of data source to elucidation.

• Examine the data by manipulating, cutting, and applying aggregate functions to DataFrames.

• Generate summary tables, group data into logical pieces, and manipulate dates.

• Statistical techniques such a distributions, sampling and t-tests.

• Recognize different distributions such as binomial, uniform, normal, and chi-squared

• Interpret data to evaluate hypothesis tests