Data Science and Business Analytics

A professional certificate program

Program Overview

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. Data Science is one of the most in-demand sectors globally for 2021. Every industry, be it ﬁnance, retail, healthcare or information technology, has opened its doors for data science and analytics professionals. According to a report shared by the U.S. Bureau of Labor Statistics, data science expertise will drive a 27.9% rise in employment by 2026.

Business analytics is all about uncovering insights from raw data and using it to inﬂuence business decisions positively. When companies analyze their past performance, they identify market and strategy opportunities. The potential of business analytics is not limited to identifying opportunities to boost decision-making and operational efficiency. Companies use analytics to conduct market and competitor research to ﬁnd new markets, new customer segments, new product ideas, etc. As an increasing number of organizations realize the potential of data backed by different data science technologies, the demand for skilled professionals is also rising. The global business analytics market continues to grow steadily, indicating that there is a rapidly growing demand for certiﬁed business analytics experts.

In partnership with upGrad, this fully online program takes the professional learner through 40 weeks of curated learning modules with Maryland Smith faculty.

Next Cohort Start Date: June 30, 2022

Valuable Program Outcomes

This program will help you:

Develop your knowledge of the most popular analytics tools and technologies.
Develop the capacity to use analytics and data science to solve business problems on your own.
Learn about Data Science uses and ramiﬁcations in various Industries like BFSI, Retail, E-commerce and Healthcare.
Learn how to extract key business insights from data and convey them to stakeholders in a clear and concise manner.
Create models that forecast future trends and utilise 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.

Program Topics

Data Analysis in Excel
Analytics Problem Solving

Intro to DS Landscape + Business Problem Solving
Introduction to Python Programming - I
Introduction to Python Programming - II + Assignment Python for Data Science
Python for Data Science Practical Consideration Python Assignment
Data Analysis using SQL

Visualization in Python
Visualization using Tableau
Exploratory Data Analysis - I
Exploratory Data Analysis - II
Data Storytelling
Visualization and Storytelling Assignment
Inferential Statistics
Hypothesis Testing
Designing Business Experiments
Introduction to Linear Regression in Explanatory & Inferencing Setting

Linear Regression in a Predictive Setting
Introduction to Classiﬁcation: Logistic Regression
Evaluation Methods in Classiﬁcation Models
Model Selection & Practical Consideration around Modelling + KNN Decision Tree Models
Assignment
Unsupervised Learning: Clustering
Unsupervised Learning: Association Rules Mining (Market Basket Analysis)

Introduction to Ensemble Models: Random Forest & Boosting Introduction to Deep Learning
Classiﬁcation & Regression Models using Neural Networks Introduction to Convolutional Neural Networks
Introduction to Natural Language Processing
Modelling on Text Data
Assignment
Framework to AI & Business Strategy
Executing AI Strategy

Select from an industry/domain of your choice.
The capstone project will address a specific problem, issue or concern and ask learners to find creative, sustainable solutions based on the program learnings.

Program Structure

Format: Online (recorded video lectures + interactive mentored learning)

Learning support: Dedicated program manager + industry mentor

Time commitment: 10-12 hours (per week)

Duration: 7 months

Projects: 20+ case studies and assignments, 1 capstone project in an industry of your choice

Who Should Take This Program

This program is designed for business professionals who are exploring unique, innovative ways of driving growth and productivity in their businesses through a thorough understanding of data, analysis of data and trends, data tools and data driven decision making.

Course participants are expected to have earned an undergraduate degree prior to commencing this program. Please contact admissions@upgrad.com for more information and to speak with an admissions counselor.

Registration

Course start date: June 30, 2022

What do you receive for completing this program?

Digital Professional Certificate from the University of Maryland (non-credit bearing)

Program fee: $3,499 USD

Please see the program registration page or contact admissions@upgrad.com for more information!