Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
The Professional Certificate Program in Data Science and Business Analytics certification course offered is designed to equip learners with essential skills for making data-driven business decisions. The 31-week online programme provides over 300 hours of learning, including 20+ case studies, 50+ hours of live sessions, and graded assessments.
Participants will learn statistical analysis, predictive analytics using Python, and machine learning techniques. The Professional Certificate Program in Data Science and Business Analytics certification by upGrad in collaboration with the University of Maryland curriculum covers topics such as data cleaning, exploratory data analysis, and visualization using Python. The module also has topics like Tableau, linear regression, logistic regression, decision tree models, and clustering.
Upon successful completion of the Professional Certificate Program in Data Science and Business Analytics training, learners will receive a verified certificate. The programme also offers dedicated career assistance and an option to communicate with the Executive Post Graduate Programme in Data Science and Business Analytics.
The Highlights
- 31 Week of Course
- Online
- Graded Assignments
- 20+ Case Studies and Assignments
- Offered by the University of Maryland
Programme Offerings
- 300+ hours of learning
- 50+ Hours of Live Sessions
- 1 capstone project
- Hands-on Capstone Projects
- student support
- Dedicated career assistance
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | UMD |
The fees for the course Professional Certificate Program in Data Science and Business Analytics is -
| Head | Amount |
| Programme fees | Rs. 1,50,000/- |
Eligibility Criteria
Educational Qualification
The programme is open to learners who have completed their undergraduate education, including high school graduates and individuals with associate degrees.
What you will learn
By the end of the Professional Certificate Program in Data Science and Business Analytics certification syllabus, you will gain a solid understanding of statistical concepts and techniques used in data analysis and decision-making. Participants will learn how to use Python and machine learning algorithms to build predictive models and make data-driven predictions. You will also acquire skills in cleaning and preparing data for analysis, which is essential for accurate insights.
Who it is for
Professional Certificate Program in Data Science and Business Analytics classes are designed for individuals who are in the following fields:
Admission Details
Registering for the Professional Certificate Program in Data Science and Business Analytics online course is a simple process. Just follow these steps:
Step 1: Access the provided link: https://www.upgrad.com/data-science-and-business-analytics-certification-training/
Step 2: Click on the "Apply Now" button.
Step 3: Enter your phone number or email address.
Step 4: Complete the application form.
Step 5: Click on the "Reserve a Seat" button.
Step 6: Provide payment and billing details to proceed with the registration.
Application Details
The form requests personal details such as the applicant's name, date of birth, email, phone number, city, and gender. It also asks about the completion of Class 12, current work status, work experience, years of analytics experience, current designation, organization, and industry. There is also an option to enter a referral code if available. The applicant must agree to the disclaimer confirming the accuracy of the provided information and acknowledging that any discrepancy may result in cancellation of admission without eligibility for a refund.
The Syllabus
- Intro to Program- Mayank's video
- Intro 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
- 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
- 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
Instructors
UMD Frequently Asked Questions (FAQ's)
It is essential to allocate a minimum of 12-15 hours per week for coursework and learning activities.
The programme provides a peer-to-peer discussion forum where you can post your queries, and both your peers and the faculty/teaching assistants promptly respond within a day.
You have the option to request a refund before the programme start date.
Upon successful completion of the programme, participants will be awarded a certification of completion from the University of Maryland's Robert H. Smith School of Business.
The content will be a blend of interactive lectures delivered by industry leaders and world-renowned faculty members.