-Used python libraries to collect data from the web like (BeautifulSoup-Scrapy-Selenium-Requests)
get data from difference recourse using python scrapping eautifulSoup-Scrapy-Selenium-Requests)
2- Data cleaning:
-calculated missing value using pandas
-predict missing value
-Data manipulation using Pandas
3-Exploratory Data Analysis
-visualizing data using pandas-numpy-matmatplotlib
-plot sampling distribution
-using inferential statistics to prove perspectives.
5- business presentation
-useing jupyter , powerpoint
created 2 projects Data analysis and visualization in the tableau in 3 days containing:
1-5dashboard ,storyline, Tableau calculations
2-connected with SQL database
3-connected with CSV and excel file
4-created fact table and dimensions
6-clean data and prepare for analysis.
Scraped data using Python libraries like Requests from the Amazon website in 3 day
used Facebook Graph API To extract data in 1 day and visualize it .
ollaborative and technically-minded business intelligence analyst experience in Python (pandas-numpymatmatplotlib-eautifulSoup-Scrapy-Selenium-Requests), DAX POWER BI, SSIS, and DWH , transforming row
data into measurable information and inspecting and resolving related issues adept at exhibiting knowledge of
business intelligence software packages and practical application in data mining, molding , visualization, and