• Designed for Working Professionals
• No Cost EMI Options available
• 5+ Industry Projects, Case Studies & Assignments
• Career Mentorship Sessions(1:1)
• High Performance Coaching(1:1)
• Just-in-Time Interviews
• Industry Readiness Assessments
• 250+ Hours of Learning
• Advanced Certificate from IIIT Bangalore
• Student support is available 7 days a week, 24*7. You can write to us via studentsupport@upgrad.com or for urgent queries use the " Talk to Us" option on the learn platform.
• Exclusive Job opportunities Portal
• AI Powered Profile Builder
• Personalised Industry Session
• Career Bootcamp

Top Subjects You Will Learn

Machine Learning, Natural Language Processing, Machine Translation, Git

Who Is This Programme For?

Data Scientist, Statistician/MathematicianData, Engineer/Big Data Engineer, Software Developer

Minimum Eligibility

Bachelor’s degree with 50% or equivalent passing marks.

Syllabus covered

• Pre-Program Preparatory Content

1. Introduction to Python
2. Python for Data Science
3. Data Visualisation in Python
4. Data Analysis Using SQL
5. Advanced SQL & Best Practices
6. Data Analysis in Excel
7. Analytics Problem Solving
8. Math for Machine Learning

• Statistics and EDA

1. Exploratory Data Analysis
2. Cloud Essentials: Intro to Git and Github
3. Inferential Statistics
4. Hypothesis Testing
5. Lending Club Case Study

• Machine Learning I

1. Linear Regression
2. Linear Regression assignment
3. Logistic Regression
4. Naive Bayes
5. Model Selection

• Machine Learning II

1. Advanced Regression
2. Advanced Regression assignment
3. Support Vector Machine (Optional)
4. Tree Models
5. Model Selection - Practical Considerations
6. Boosting
7. Unsupervised learning: Clustering
8. Unsupervised Learning: Principal Component Analysis
9. Telecom Churn Case Study

• Natural Language Processing

1. Lexical Processing
2. Syntactic Processing
3. Syntactic Processing -Assignment
4. Semantic Processing
5. Case Study: Classifying customer complaint tickets