This folder contains projects based on data cleaning, data transformation and exploratory analysis. The intention is to exhibit different areas of Python that can be used to manipulate the data before proceeding, and processing for data analytics. Python scripting is included in another folder, in a more real world application. The additional repositories demonstrate familiarity accessing SQL Server, building data intergration packages with SSIS and creating Tableau visualizations.
Explore the profiles of the apps generated by each app market, compare and provide data to back suggested reccomendations.
1 Data Analysis
2 Data Exploration
3 Report Writing and Organization
4 Dictionaries and Frequency Tables
5 Python Functions
Define different factors that relate to previous user' related data activity based on the news dataset.
1 Data Analysis
2 Report Writing and Organization
3 Pattern and Trend Identification
4 Object-Oriented Python
5 Working with Dates and Times
Explore the ebay car sales dataset and provide a complete cleansing of the data.
1 Data Error Identification
2 Data Formatting and Scrubbing
3 Pandas Dataframe
4 Boolean Indexing
5 Working with Dates and Times
Explore the employee exit surveys dataset and provide a complete cleansing of the data.
1 Data Error Identification
2 Data Scrubbing
3 Pandas Dataframe
4 Vectorized String Methods
5 Data Transformation