How I completed my first data science internship?

After gaining some knowledge in the field of data science, I was looking for some opportunities that could help me in gaining some experience in this field and fortunately, I came across The Sparks Foundation data science and business analytics internship with the help of LinkedIn.

Without waiting, I applied for this internship and got shortlisted for November batch. I received selection certificate.

This was my first data science internship.

I received an orientation mail in which I found a document which stated that for completing this internship, I had to complete two tasks out of which one was related to linkedin profile improvement and the other one should be one from the list of eight tasks in data science domain.

I improved my linkedin profile as per the guidance and then completed the first task related to data science.

For some practice, I decided to do some more tasks and completed six out of eight during my internship. Here is the list of the tasks I completed:

Task1: Prediction using Supervised Machine Learning

• Level: Beginner
• Objective: Predict the percentage of a student based on the number of study hours.
• Problem: What will be predicted score if a student studies for 9.25 hours/day?
• Programming Language: Python
• Solution: I created a machine learning predictive model for predicting the score of student based on study hours. When the student studies for 9.25 hours a day, he/she can score 93.69 as per the linear regression model.

Task2: Prediction using Unsupervised Machine Learning

• Level: Beginner
• Objective: Predict the optimum number of clusters
• Programming Language: Python
• Solution: I used k-means clustering algorithm to predict the number of clusters. By using the elbow-method, the optimum number of clusters (k) predicted was “3”.

Task3: Exploratory Data Analysis - Retail

• Level: Beginner
• Objective: As a business manager, try to find out the weak areas where you can work to make more profit.
• Tool: Tableau
• Solution: I created a dashboard that consists of map chart showing the profit/loss per state, a horizontal bar chart that consists of categories in x-axis and quantity & sales in y-axis and showed sub-categories based on different colors, pie chart showing sales according to region, bubble chart showing quantity according to shipping mode, and lastly a heatmap showing discount according to different customer segment.

Task4: Exploratory Data Analysis - Terrorism

• Level: Intermediate
• Objective: As a security/Defense analyst, try to find out the hot zone of the terrorism.
• Tool: Tableau
• Solution: I created a dashboard that consists of heatmap showing the target of terrorist, a bubble chart showing the attack type of terrorist, a horizontal bar chart showing the weapon type of terrorist, a map chart showing the hot zone according to countries, and finally a vertical bar chart showing the hot zone according to region.

Task5: Exploratory Data Analysis - Sports

• Level: Advanced
• Objective: As a sports analyst, find out the most successful teams, players and factors contributing win or loss of a team.
• Tool: Tableau
• Solution: I created a dashboard that consists of two heatmaps out of which one is showing batsman runs of batting team and the other is showing the balls of bowling team, a vertical bar chart showing top ten players, a stacked bar chart showing the toss winner teams according to seasons with toss decisions in the stack, a horizontal bar chart showing the winners by wickets & runs, a bubble chart showing the seasons played in cities and two vertical bar charts with animations out of which one is showing the best bowler according to balls and the other one is showing the best batsman according to the batsman runs.

Task6: Prediction using Decision Tree Classifier

• Level: Intermediate
• Objective: If we feed the new data to this classifier, it would be able to predict the right class accordingly.
• Programming Language: Python
• Solution: I created a decision tree classifier that predicted the species of iris flower by using the information about petals and sepals.

This is how I completed all my six tasks during my internship. I submitted these tasks in the submission form and at the end of the month I received my certificate of completion and a silver badge. I am grateful that I got this opportunity.