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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
The Executive Post Graduate Programme in Data Science and Machine Learning certification course empowers professionals and early career aspirants with advanced skills in data science and machine learning. The comprehensive 13-month online programme provides a flexible learning format, allowing participants to commit 12-15 hours per week.
Through hands-on industry projects, learners gain practical experience and develop expertise in Python programming, data analysis using SQL, inferential statistics, deep learning for NLP, time series modelling, and more. The Executive Post Graduate Programme in Data Science & Machine Learning certification by upGrad in collaboration with the University of Maryland is designed to enhance decision-making abilities. This course enables participants to identify valuable insights, make data-driven predictions, and excel in their careers.
The Executive Post Graduate Programme in Data Science & Machine Learning training offers a supportive learning environment with over 70% of instruction delivered by esteemed professors. Additionally, students will receive personalized mentorship and 24/7 support to ensure an optimal learning experience. Graduates will receive a verified certificate from the University of Maryland which will enhance their credentials and provide access to exclusive job opportunities, career mentorship, and an AI-powered profile builder.
Also Read: Data Science And Machine Learning Certification Courses
The Highlights
- AI Powered Profile Builder
- Personalised Industry Session
- Career Bootcamp
- Exclusive Job Opportunities Portal
- Personalized expert feedback on assignments & projects
- 13 Months of Course
Programme Offerings
- Student support 24*7
- Career Essential Soft Skills Programme
- 10+ Programming Tools & Languages
- 20+ industry projects
- Career mentorship Sessions(1:1)
- Masterclass
- No Cost EMI option
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | UMD |
Executive Post Graduate Programme in Data Science & Machine Learning Fee
Mode of Enrolment | Fee |
Total Fee | Rs. 2,50,000 |
Eligibility Criteria
Educational Qualification
The programme is designed for learners who have completed an undergraduate education, including those with associate degrees. Final-year students are also eligible to apply for the programme.
Certification Qualifying Details
Upon successful completion of the course, candidates will receive a certification of completion.
What you will learn
By the end of the Executive Post Graduate Programme in Data Science & Machine Learning certification syllabus, candidates will have proficiency in Python programming and essential data science libraries like NumPy and Pandas. He will also have the ability to perform data analysis using SQL and handle data cleaning and preparation. Candidates will gain expertise in exploratory data analysis and visualisation using tools like Tableau. Participants will have a good understanding of statistical concepts and hypothesis testing for data-driven decision-making. He will have knowledge of linear regression and predictive modelling techniques.
Who it is for
Executive Post Graduate Programme in Data Science & Machine Learning classes are designed for individuals who are in the following fields:
Admission Details
To apply for the Executive Post Graduate Programme in Data Science & Machine Learning online course, follow these steps:
Step 1. Click on the course application link: https://www.upgrad.com/executive-pgp-in-data-science-business-analytics-maryland/.
Step 2. Sign in using your mobile number or email address by clicking "Apply Now".
Step 3. Fill out the application form with your details and click "Next."
Step 4. If you're selected, reserve your seat by clicking the appropriate button.
Step 5. Review the payment details and complete the enrolment by making the payment.
Application Details
To apply for the Executive Post Graduate Programme in Data Science & Machine Learning, applicants must fill out the application form, providing personal details like full name, date of birth, email address, contact number, city, and gender. They need to share information about their educational background, including bachelor's or highest degrees. Work experience, current job role, and the industry of employment are also required. Optionally, applicants can enter a referral code if they have one.
The Syllabus
- Data Analysis in Excel
- 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
- 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 1
- Introduction to Ensemble Models: Random Forest & Boosting
- Unsupervised Learning: Association Rules Mining (Market Basket Analysis)
- Introduction to Deep Learning
- Classification & Regression Models using Neural Networks
- Introduction to Convolutional Neural Networks
- Introduction to Natural Language Processing
- Framework to AI & Business Strategy
- Modelling on Text data
- Assignment
- Executing AI Strategy
- Advanced Python Programming
- Advanced SQL
- Introduction to Time Series
- Recommender Systems
- DL in Tf & Optimization (Optional)
- RNN
- RNN
- Applications in CV
- Assignment
- Capstone Project 2
Instructors
UMD Frequently Asked Questions (FAQ's)
The course is designed to be completed in 13 months.
The programme is conducted entirely online, allowing for flexibility in learning.
The programme covers Python, Excel, Tableau, MySQL, Jupyter, Keras, NumPy, Pandas, Scikit Learn, Matplotlib, Seaborn, and NLTK.
The programme includes video lectures, industry projects, assignments, and 1:1 career mentorship sessions.
Yes, on successful completion, students will receive a verified certificate from the University of Maryland's Robert H. Smith School of Business.