Data-Analysis-With-Python

Used Python Libraries such as Pandas, Numpy, Matplotlib, Plotly etc to perform exploratory analysis.
Different domains data sets such as Covid 19, IMDB ratings, Whatsapp chats, Health Care, Population.
In all these projects I have used these below steps:
1. Data Collection - Kaggle, Databases and Scraping
2. Data Modelling - Data Warehousing using pandas, creation of starschemas
3. Data Cleaning - Python Pandas, Strings Cleaning using regex patterns,
4. Analyze & Visualize - Univariate, Bivariate Analysis and finding insights by plotting graphs such as tree maps, choropleth, bar graph etc
5. Dashboards and Reports - Providing solutions after finding insights in form of reports and dashboards

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
Airline_Data_Analysis_and_Dashboards.ipynb		Airline_Data_Analysis_and_Dashboards.ipynb
Amazon_Web_Scraping.ipynb		Amazon_Web_Scraping.ipynb
Covid_19_and_Vaccines_Analysis.ipynb		Covid_19_and_Vaccines_Analysis.ipynb
GDP_and_POPULATION(Star_Schema_Creation).ipynb		GDP_and_POPULATION(Star_Schema_Creation).ipynb
Health_care_data_analysis.ipynb		Health_care_data_analysis.ipynb
README.md		README.md
Streaming_Service_Analysis(Matplotlib_and_Seaborn).ipynb		Streaming_Service_Analysis(Matplotlib_and_Seaborn).ipynb
UBER_DATA_ANALYSIS.ipynb		UBER_DATA_ANALYSIS.ipynb

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