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In this I'm structuring tasks that I completed while working as an intern for The Sparks Foundation.
- Internship Category - Data Science and Business Analytics
- Internship Duration - 1 Month (September Batch - 2021)
- Internship Type - Work from Home
Please click on the images on right side to view my solution.
- Predict the percentage of marks of an student based on the number of study hours.
- This is a simple linear regression task as it involves just 2 variables.
- Data can be found at http://bit.ly/w
- You can use R, Python, SAS Enterprise Miner or any other tool.
- What will be predicted score if a student studies for 9.25 hrs/ day?
Please click on the images on right side to view my solution.
- From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
- Use R or Python or perform this task.
- Data can be found at https://bit.ly/3cGyP8j
Please click on the images on right side to view my solution (preferably youtube).
- Perform ‘Exploratory Data Analysis’ on the provided dataset ‘SampleSuperstore’
- As a business manager, try to find out the weak areas where you can work to make more profit.
- What all business problems you can derive by exploring the data?
- You can choose any of the tool of your choice (Python/R/Tableau/PowerBI/Excel)
- Dataset link :https://bit.ly/3i4rbWl
- Create storyboards. Screen record along with your audio explaining the charts and interpretations.
Please click on the images on right side to view my solution (preferably youtube).
- Perform ‘Exploratory Data Analysis’ on the provided dataset ‘Global Terrorism’
- As a security/defence analyst, try to find out the hot zone of terrorism.
- What all security issues and insights you can derive by EDA?
- You can choose any of the tool of your choice (Python/R/Tableau/PowerBI/Excel)
- Dataset link :https://bit.ly/2TK5Xn5
- Create storyboards. Screen record along with your audio explaining the charts and interpretations.
Please click on the images on right side to view my solution (preferably youtube).
- Perform ‘Exploratory Data Analysis’ on the provided dataset 'Indian Premier Leagure'
- As a sports analyst, try to find out the most successful teams, players and factors contributing win or loss of a team.
- Suggest teams or players a company should endorse for its products.
- You can choose any of the tool of your choice (Python/R/Tableau/PowerBI/Excel)
- Dataset link :https://bit.ly/34SRn3b
- Create storyboards. Screen record along with your audio explaining the charts and interpretations.
You can view all the tasks on my youtube playlist as well.
Syed Faique Ali - @faiqueali017 - faiqueali017@gmail.com
LinkedIn Profile: https://www.linkedin.com/in/faique-ali/