Data Science Course Online – Enroll in Data Science Certification

This Data Science certification training includes 25+ industry-relevant projects from various domains to help you master concepts of Data Science. A few of the projects that you will be working on are mentioned below:
 

Capstone Project:

In this Data Science course, 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 Data Science online course. The capstone project will cover all the key aspects of data extraction, cleaning, and visualization to build and tune data models. You also get the option of choosing 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 for Data science that can be showcased to potential employers as a testament to your learning.
 

Course End Projects:

Projects that mimic real-world 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:

BUILDING A USER-BASED RECOMMENDATION MODEL FOR AMAZON

Domain: E-commerce

The dataset provided contains movie reviews given by Amazon customers. Perform data analysis on the Amazon customer movie reviews dataset and build a machine learning recommendation algorithm that provides the ratings for each of the users.

COMCAST TELECOM CUSTOMER COMPLAINTS

Domain: Telecommunications

Comcast is an American global telecommunication company. The firm has been providing terrible customer service. They continue to fall short despite repeated promises to improve. Utilize the existing database of customer complaints as a repository to improve customer satisfaction.

MERCEDES-BENZ GREENER MANUFACTURING

Domain: Automobile

Reduce the time a Mercedes-Benz spends on the test bench. Work with a data set representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards.

RETAIL ANALYSIS WITH WALMART

Domain: Retail

One of the leading retail stores in the US, Walmart, would like to predict sales and demand accurately. The business is facing a challenge due to unforeseen demands and runs out of stock occasionally. It’s discovered that a machine learning algorithm is at the core of this issue. Build an ideal ML algorithm that will predict demand accurately and incorporate factors like economic conditions including CPI, unemployment index, etc.

MOVIE LENS CASE STUDY

Domain: entertainment

Perform analysis using the exploratory data analysis technique. You need to find features affecting the ratings of any particular movie and build a model to predict the movie ratings.
 

CUSTOMER SERVICE REQUESTS ANALYSIS

Domain: Customer Service

Perform data analysis on New York City 311 service request calls. You will focus on data wrangling techniques to understand data patterns and also create visualizations to categorize and prioritize complaint types like economic conditions including CPI, Unemployment Index, etc.
 

COMPARATIVE STUDY OF COUNTRIES

Domain: Geo-political

Create a dashboard to do a comparative study on various parameters of different countries using the sample insurance data set as well as the world development indicators data set.
 

SALES PERFORMANCE ANALYSIS

Domain: Retail

Build a dashboard that will present monthly sales performance by product segment and product category to help clients identify the segments and categories that have met or exceeded their sales targets, as well as those that have not met their sales targets.
 

PREDICT THE DEMAND FOR LOANS BASED ON REGION

Domain: Banking

This project provides learners with insights into the banking sector. Learners are required to build a statistical model to predict the demand for loans for a particular region. To show the results, learners are required to provide an online dashboard that shows the plan, and its progress, to all stakeholders.
 

BUILD A MODEL TO PREDICT DIABETIC PATIENTS 

Domain: Healthcare

The project is aligned with NIDDK (National Institute of Diabetes and Digestive and Kidney Diseases) data sets representing one of the most chronic and consequential diseases. The goal of this project is to build a model to predict patients with diabetes by utilizing the given data set.
 

CUSTOMER SEGMENTATION OF RETAIL CUSTOMERS

Domain: Retail

Perform customer segmentation using RFM analysis. The resulting segments can be ordered from most valuable (highest recency, frequency, and value) to least valuable (lowest recency, frequency, and value)