Data Analysis Project with Python
Budget: $250 – $750 USD
Need to complete an Analytics Project as indicated below.
We are looking for a skilled Data analyst with proficiency in the programming language Python for our Analytics Project. The project topic and data sets have already been selected, but further data may be required to support the research questions. The Data Analyst will be responsible for formulating compelling research questions ( 3 to 4 questions) and creating data visualizations using Python scripts. The project's final deadline is set for 4/14/2023, with the requirement of completing phase 01 and phase 02 drafts prior to the due date. To ensure seamless collaboration with the project team, regular communication with the analyst through live chat sessions is preferred.
1. Your analytics project must have demonstrable real-word value.
2. Your project must rely on a large, real-word dataset.
3. Your project must address at least three specific research questions that,
when answered, will directly inform managerial decision-making.
4. You must investigate your research questions by performing simulations
and/or detailed statistical analyses of your dataset.
5. You must generate at least six different visualizations of your data or
analytical results.
6. Your analysis must yield distinct, actionable, and statistically defensible
recommendations for a hypothetical decision-maker.
We are looking for a skilled Data analyst with proficiency in the programming language Python for our Analytics Project. The project topic and data sets have already been selected, but further data may be required to support the research questions. The Data Analyst will be responsible for formulating compelling research questions ( 3 to 4 questions) and creating data visualizations using Python scripts. The project's final deadline is set for 4/14/2023, with the requirement of completing phase 01 and phase 02 drafts prior to the due date. To ensure seamless collaboration with the project team, regular communication with the analyst through live chat sessions is preferred.
1. Your analytics project must have demonstrable real-word value.
2. Your project must rely on a large, real-word dataset.
3. Your project must address at least three specific research questions that,
when answered, will directly inform managerial decision-making.
4. You must investigate your research questions by performing simulations
and/or detailed statistical analyses of your dataset.
5. You must generate at least six different visualizations of your data or
analytical results.
6. Your analysis must yield distinct, actionable, and statistically defensible
recommendations for a hypothetical decision-maker.