Data Science and Business Analytics
Today, from regional offices to the boardroom, data drives decisions. Data science professionals are directly involved in the highest levels of the corporate and organizational decision-making process. Business Analysis and Analytics are in the top ten most in-demand jobs in the United States. Every industry, be it finance, retail, healthcare or information technology, has opened its doors for data science and analytics professionals.
Format: Online self-paced
Duration: 6-8 months
Tuition: $100/course*
*Discounts available for alumni, veterans, federal employees and active military
Who should take this course?
Working professionals with a bachelor’s degree or five years of professional experience.
Valuable Outcomes
Review the most popular analytics tools and technologies.
Apply analytics and data science to solve business problems on your own.
Explain Data Science uses and ramifications in various Industries like BFSI, Retail, E-commerce and Healthcare.
Identify key business insights from data and convey them to stakeholders in a clear and concise manner.
Create models that forecast future trends and utilize them to guide business decisions.
Apply the cutting edge ML algorithms to develop solutions for real-life business problems.
Design the AI strategy for your vertical and evaluate the various factors involved in its implementation.
Statistical Analysis and Visualization
The first part of the Data Science and Business Analytics program explains the foundational skills for practitioners: visualization, storytelling techniques, statistical analysis, and strategies for testing and experimentation. The courses in this series are as follows:
Introduction to Data Science Landscape
Course 1: Exploratory Data Analysis I
Course 2: Exploratory Data Analysis II
Course 3: Visualization Using Tableau
Course 4: Data Storytelling
Course 5: Inferential Statistics
Course 6: Hypothesis Testing
Course 7: Designing Business Experiments
Launch dates TBA for courses 2 through 7.
This free introductory course serves as a preview and overview of the Data Science and Business Analytics program, providing you with a foundational understanding of the key concepts and skills you will develop throughout your learning journey.
In this course (the first of two on the topic), you will learn about various aspects of data visualization and exploration to derive meaningful insights from data.
John Bono
Kislaya Prasad
Machine Learning
The second part of the program moves on to more advanced topics in machine learning, such as linear regression, classification, decision trees, model selection, and clustering. The courses in this series are as follows:
Course 1: Linear Regression in an Inferential Setting
Course 2: Linear Regression in a Predictive Setting
Course 3: Introduction to Classification: Logistic Regression
Course 4: Classification: Performance Measures
Course 5: Decision Trees
Course 6: k-NN and Model Selection
Course 7: Unsupervised Learning: Clustering
Launch dates TBA for courses 1 through 7.
P. K. Kannan
Anil K. Gupta