Unlock the Power of Data with Power BI: Analysis of a Data Scientist/Data Analyst Profession Survey
The following report provides analysis of a survey conducted to gain insight into the Data Scientist/Data Analyst profession. The survey consisted of questions regarding income, coding language of choice, and job satisfaction.
Steps
- Import Data table from web
- Format, compile and clean the dataset (take care of blanks, unreasonable outliers, and performed text analysis).
- Identified important metrics.
- Statistical inference and graphical visualization to showcase the results and provide insights.
Summary of Hyposthesis and Findings
- Data Scientists get paid higher salaries.
- This case was true for US
- For UK and Canada highest paying job title was Data Engineer
- There is an inequality in income based gender.
- While overall number of females in the indusctry is smaller than males, median salaries were close.
- The highest pay for female was $185k but for males was $225k which shows there is some inequality to address here.
- SQL is the mostly used language for data analysis.
- Most survay takers did not consider SQL a programming langusge therefore Python was the most popular language amongst data professionals .