This Data Analystcertificationcourse includes 20+ real-life, industry-based projects in different domains to help you master various concepts in data analytics.
Capstone Project:
You will go through dedicated mentor classes in order to create a high-quality industry project, solving an industry-relevant problem by leveraging the skills and technologies learned throughout the program. The capstone project will cover all the key aspects of data analytics - from data extraction, cleaning, and visualization to model building and tuning. You also get to choose the domain/industry dataset you want to work on from the options available.
After successful submission of the project, you will be awarded a capstone certificate that can be showcased to potential employers as a testament to your learning and expertise.
Course End Projects
Projects that mimic business problems to help apply the concepts learned during a specific course. Typically these projects take 3 - 4 hours to complete.
Projects are as follows:
APP RATING RECOMMENDATIONS
Domain: Technology
The Google Play Store team is launching a new feature that boosts the visibility of certain promising apps. This boost will manifest in multiple ways, including being displayed as a higher priority in the recommendations sections. Make a model predict the app rating, with other information about the app provided.
COMCAST TELECOM CUSTOMER COMPLAINTS
Domain: Telecommunications
Comcast is an American global telecommunication company. The firm has been providing terrible customer service and they continue to fall short despite repeated promises of improvement. Utilize the existing database of customer complaints as a repository to find a solution to improving customer satisfaction.
E-COMMERCE SALES DASHBOARD
Domain: E-commerce
An online e-commerce company wants to design a sales dashboard to analyze sales based on various product categories. The company wants to make it easier for users to select the products they are looking for and consequently improve sales. Help users select and review information about the products they are considering.
COMPARATIVE STUDY OF COUNTRIES
Domain: Geo-political
Create a dashboard to do a comparative study of different countries on various parameters using the sample insurance data set and world development indicators data set.
SALES PERFORMANCE ANALYSIS
Domain: Retail
Build a dashboard that shows monthly sales performance by product segment and product category to help clients identify the segments and categories that have met, exceeded, or failed their sales targets.
ANALYSIS OF SALES REPORT OF A CLOTHES MANUFACTURING OUTLET
Domain: Manufacturing
A high-end fashion retail store is looking to expand its product line. It wants to understand the market and find the current trends in the industry. Automate the recommendations of the attributes of the products, predict sales trends, understand the factors impacting sales, and regularize the rating procedure of the product with the given data sets.
COLLEGE ADMISSION
Domain: Education
Every year, thousands of applications are submitted by international students for admission to colleges in the U.S. It becomes an iterative task for the Education Department to know the total number of
applications received and then compare that data with the total number of applications successfully accepted and visas processed. Hence, to make the entire process easy, the education department in the U.S. needs to analyze the factors that influence the admission of a student into colleges.
IDENTIFYING AND RECOMMENDING THE BEST RESTAURANTS
Domain: Food
A restaurant consolidator is looking to revamp the B2C portal using intelligent automation technology. This requires creating two different matrices to identify “high-star” restaurants and generate recommendations. To create an effective model, it is critical to understand the behavior of the
consumers who are generating the data. You are required to create reports on the top-rated restaurants, generate recommendations by inspecting data and utilizing exploratory data analysis and share your findings with all stakeholders through intuitive dashboards.
PREDICTING LOAN DEFAULTERS
Domain: Banking
Financial institutions incur significant losses due to defaults on vehicle loans. This has led to the tightening up of vehicle loan underwriting and increased loan rejection rates. The need for a better credit risk scoring model among these institutions is evident. This warrants a study to estimate the determinants of vehicle loan default rates. Determine and examine factors that affect the ratio of vehicle loan defaulters. Also, use the findings to create a model to predict potential defaults on agreements.
EXAMINING FACTORS RESPONSIBLE FOR HEART ATTACKS
Domain: Healthcare
Cardiovascular diseases are one of the leading causes of death globally. Identifying the causes and developing a system to predict potential heart attacks in an effective manner is critical. The data presented has all the information about relevant factors that might have an impact on cardiovascular health. The data needs to be studied in detail for further analysis. Determine and examine the factors that play a significant role in increasing the rate of heart attacks. Also, use the findings to create andpredict a model.
