University of Maryland - University of Maryland - Professional Certificate Program in Data Science and Business Analytics
- Offered byupGrad
- Private Institute
- Estd. 2015
University of Maryland - Professional Certificate Program in Data Science and Business Analytics at upGrad Overview
Duration | 31 weeks |
Total fee | ₹1.50 Lakh |
Mode of learning | Online |
Credential | Certificate |
University of Maryland - Professional Certificate Program in Data Science and Business Analytics at upGrad Highlights
- Earn a certificate of completion from University of Maryland
- 20+ Case Studies and Assignments
- Learn from 1 Capstone Project
- Get a chance to network with Maryland Smith's faculty, industry experts and peers
- Gain expertise on widely used languages and tools like excel, python, tableau, mysql
University of Maryland - Professional Certificate Program in Data Science and Business Analytics at upGrad Course details
- For Software Engineers who wish to enter DS
- For Mid Level IT professionals
- For Non Technical Business Analysts
- For Marketing/ Healthcare/ Domain based professionals who wish to apply analytics
- For Early career technologists with understanding of math and basic logic for programming
- Introduction to DS Landscape
- Data Analysis using SQL
- Data Storytelling
- Decision Tree Models
- Python Programming Essentials I - Variables, Expressions, and Control Statements
- In this course identify insights, improve your ability to make predictions, & make better data-driven business decisions
University of Maryland - Professional Certificate Program in Data Science and Business Analytics at upGrad Curriculum
Preparatory Content
Data Analysis in Excel
Data Science Toolkit
Introduction to the program
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 (2 weeks)
Data Analysis using SQL
Practical Data Considerations: Data Cleaning and Preparation
Course Project: Python
Statistical Analysis & Visualisation
Exploratory Data Analysis
Visualization in Python
Visualisation using Tableau
Data Storytelling
Visualisation and Storytelling Assignment
Inferential Statistics
Hypothesis Testing
Designing Business Experiments
Course Project: Statistics
Machine Learning
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
Capstone
Capstone 1