Tasks Assigned to me for this WFH internship via TheSparksFoundation.

LinkedIn - https://www.linkedin.com/in/allan-sasi/

The Sparks Foundation Internship for Data Science/Analytics.

These are the tasks provided by The Sparks Foundation for the #GRIPNOV20 for Data Analysis internship.

‘Exploratory Data Analysis’ on dataset ‘Indian Premier League’ . 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.

The Sparks Foundation Data Science and Business Analytics Internship Tasks.

Data Science and Business Analytics Task-1 (Predict the percentage of an student based on the no. of study hours)

Data Science and Business Analytics Task-1 (Predict the percentage of an student based on the no. of study hours) Using simple linear regression model, forecasting the marks of a student based on the numbers of hours studied per day. Tool(s) Used - Python (Jupyter Notebook)

Data Science and Business Analytics Task-1 (Predict the percentage of an student based on the no. of study hours).

From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.

Perform ‘Exploratory Data Analysis’ on dataset ‘Global Terrorism’ As a security/defense 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/SAP/SAS)

Perform ‘Exploratory Data Analysis’ on dataset ‘Sample Superstore’, 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/SAP/SAS)

Perform ‘Exploratory Data Analysis’ on dataset ‘Indian Premier League’ As a sports analysts, 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/SAP/SAS)

Create the Decision Tree classifier and visualize it graphically. The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.

Create a hybrid model for stock price/performance prediction using numerical analysis of historical stock prices, and sentimental analysis of news headlines, Stock to analyze and predict - SENSEX (S&P BSE SENSEX) Download historical stock prices from finance.yahoo.com Download textual (news) data from https://bit.ly/36fFPI6 Use either R or Pytho…

Create a storyboard showing spread of Covid-19 cases in your country or any region (Asia, Europe, BRICS etc) using Tableau, Power BI or SAP, Use animation, timeline and annotations to create attractive and interactive dashboards and story Identify interesting patterns and possible reasons helping Covid-19 spread with basic as well as advanced ch…

Basic Banking System

The Sparks Foundation Internship for Data Analytics.