University of Maryland - University of Maryland - Professional Certificate Program in Data Science and Business Analytics
- Offered byTalentedge
- Estd. 2012
University of Maryland - Professional Certificate Program in Data Science and Business Analytics at Talentedge Overview
Duration | 31 weeks |
Total fee | ₹1.50 Lakh |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
University of Maryland - Professional Certificate Program in Data Science and Business Analytics at Talentedge Highlights
- Earn a certificate of completion from University of Maryland
- Learn from 20+ case studies and assignments
- 1 Capstone project from the domain of your choice
- Get a chance to network with Maryland Smith's faculty, industry experts, and peers during the course
- Prepare a job role for Data Analyst, Data Scientist, Financial Analyst, Management Analyst/Consultant, Market Researcher, Operations Research Analysts
University of Maryland - Professional Certificate Program in Data Science and Business Analytics at Talentedge Course details
- For Software Engineers who wish to enter DS
- For Mid Level IT professionals
- For Non-Technicalan 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
- Statistics
- Predictive Analytics using Python
- Machine Learning
- Data Visualization
- Predictive Modelling
- Business Problem Solving
- Gain demonstrable hands-on skills in data science and business analytics
- Strengthen your decision-making skills with a DSBA certificate from the US. 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 Talentedge Curriculum
Preparatory Content
Data Analysis in Excel
Data Science Toolkit
Intro to Program- Mayank's video
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 & Visualization
Exploratory Data Analysis
Visualization in Python
Visualisation using Tableau
Data Storytelling
Visualization 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 Project
Capstone Project