Data Science

Zomato, an Indian restaurant aggregator and food delivery application. As a Data Analyst, your task is to find various trends to understand how fast it has become popular, the average cost per customer, restaurant popularity, and other insights. This project is best for data science beginners working on excel and python.

Google Play Store team is about to launch a new feature. This feature will help bring more attention to newer apps that have potential. The task is to understand what makes an app perform well - size, price, category, multiple factors together? After the data science training, you will analyze the data, present your insights - the final output of the analysis would be presented to the business as insights with data and visualizations.

In this Data Science project, you will help a retail store to visualize sales and develop insights from the previous year. You will use various plots to understand the best customers, orders in a day also estimate the lifetime value of customers based on purchase patterns. This is one of the exciting projects to complete with the data science certification course.

In this project, you will use Machine learning to predict the price of a car based on several characteristics. The objective is to build a model to understand the factors that drive the price of a car. This data science project will help the automobile company launch their new car in the market effectively by pricing it better.

The Indian Premier League is a professional Twenty20 cricket league in India contested every year by eight teams representing eight different cities in India. In this project, you will develop powerful charts to understand the performance of each player and the entire team for investors to draw insights. This project will help your data science portfolio stand out.

Your mission is to analyze various product details, user behavior, product prizes, etc to improve the conversion rates and profits of an E-commerce store. You will also develop insights to develop pricing and promotions. This project will test your basic data science skills & knowledge.

After taking python for data science classes, you will work on the Churn prediction project that consists of detects customers who are likely to cancel a subscription to a service based on how they use the service using customer information such as age, gender, location. You will build a classifier that tells a particular customer is loyal or a churn. In this project, you will use python, sklearn, matplotlib, pandas, SVM, and logistic regression.

Bank wants to predict the response to a marketing campaign for various users. Use Machine learning predictive modeling techniques like Random forest and logistic regression to predict if the customer will respond positively to the campaign or not.

An interesting project for ML enthusiasts o brush up on their skills. You will predict the likelihood of a customer committing a fraudulent transaction. Build a Machine Learning model to identify fraudulent credit card transactions with our data science certification course.

After completing data science classes on SQL, test your knowledge by working on this project. Identify product bundles that get brought together to be able to identify cross-sell up-sell opportunities. You will work on transactional data by using advanced SQL for sequence structures.

Work on this data science project to help organizations make marketing strategies. Identify patterns and attributes that lead to good performance and sub-optimal performance of the email program. This is a holistic data science online course to help you understand the use of data science in marketing.

A Data Science portfolio must have a project on NLP. You can compute the sentiment value of each narrative of a particular topic with the help of K-Means clustering and NLP.