Executive Program in Data Science and Machine Learning - University of Maryland

Become a data-driven leader with a one-of-its-kind Executive Program in Data Science and Machine Learning. Taught by top Academicians & industry experts, this 360-degree program will put you at the forefront of the Data Science & Machine Learning revolution. No prior coding experience is required.

Key Highlights

• Offered by a top 20 U.S. public university.
• Earn 3 certificates that cover the breadth of Data Science and Machine Learning skills in just 12 months.
• Executive Program Certificate from the University of Maryland's Robert H. Smith School of Business on successful completion of the program.
• Weekly live sessions by top academicians from University of Maryland's Robert H School of Business.
• Personalized small group coaching sessions for a group of 8/10 students from Industry Mentors once every fortnight.
• 400+ hours of Learning & 100+ hours of live sessions.
• 10+ Case studies and assignments & 2 Capstone projects from the domain of your choice.
• Programming tools and languages such as Python, SQL, Excel and Tableau.
• Comprehensive curriculum covering concepts such as Inferential Statistics, Machine Learning, Predictive Modeling, Framework for Artificial Intelligence & Business Strategy, and Data-driven storytelling.
• No prior coding/programming experience is required.

Top Skills You Will Learn

Predictive Analytics using Python, Advanced SQL, Time Series, Natural Language Processing, Data Visualization, Inferential Statistics, Hypothesis Testing, Machine Learning, Decision Tree Models, Market Basket Analysis, Framework to AI & Business Strategy.

Executive Post Graduate Program in Data and Machine Learning

On successful completion of the Program, you receive this certificate from the University of Maryland's Robert H. Smith School of Business.

• Earn 3 certificates that cover the breadth of data science and machine learning skills in just 12 months.
• Showcase your certificate from a Top 20 U.S. Public university.
• Gain demonstrable hands-on skills in data science and machine learning.

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments, and live sessions.

Prep Course

• Data Analysis in Excel

Data Science Toolkit

• Introduction to DS Landscape
• Python Programming Essentials I - Variables, Expressions, and Control Statements
• Python Programming Essentials II - Functions and Data Structures
• Python Libraries for Data Science - NumPy
• Python Libraries for Data Science - Pandas
• Python Assignment
• Data Analysis using SQL
• Practical Data Considerations: Data Cleaning and Preparation
• Course Project: Python

Statistical Analysis and Visualization

• Exploratory Data Analysis
• Visualization in Python
• Visualization using Tableau
• Data Storytelling
• Visualization and Storytelling Assignment
• Inferential Statistics
• Hypothesis Testing
• Designing Business Experiments
• Course Project: Statistics

Machine Learning

• 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
• Introduction to Ensemble Models: Random Forest & Boosting
• Assignment
• Unsupervised Learning: Clustering
• Unsupervised Learning: Association Rules Mining (Market Basket Analysis)
• Course Project: Machine Learning

Capstone Project

• Capstone Project

Advanced Machine Learning and Business Strategy

• Introduction to Deep Learning
• Classification & Regression Models using Neural Networks
• Introduction to Convolutional Neural Networks
• Introduction to Natural Language Processing
• Modeling on Text data
• Assignment
• Framework to AI & Business Strategy
• Executing AI Strategy

Advanced Machine Learning II

• Advanced Python Programming
• Advanced SQL
• Introduction to Time Series
• Recommender Systems
• DL in Tf & Optimization (Optional)
• RNN
• Applications in CV
• Assignment

Capstone Project II

• Capstone Project II

Who Is This Program For

Designed for technical as well as non-technical professionals who are interested in developing holistic skills in Data Science and Machine Learning.

Data Analyst, Financial Analyst, Market Researcher, Operations Research Analysts, Business Analyst, Business Intelligence and Analytics Manager, Risk Analyst, Data Science Consultant, Product Analyst, and Marketing Intelligence Analyst.