- Complimentary Python Programming Bootcamp
- Designed for Working Professionals
- 7+ Case Studies and Projects
- Advanced Certification from IIIT Bangalore
- Personalised Industry Session
- Career mentorship Sessions(1:1)
- High Performance Coaching(1:1)
- Just-in-Time Interviews
- Career Essential Soft Skills Programme
- 300+ Hours of Learning
- Timely Doubt Resolution
- No Cost EMI Option
- 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
- Industry Readiness Assessments
Top Skills You Will Learn
Statistics, Python Programming, Predictive Analytics using Python, Basic & Advanced SQL, Visualization using Python, EDA, Basic & Advanced Machine Learning Algorithms
Target Audience
Engineers (Freshers and with any experience), Software and IT Professionals, Product & E-commerce Folks, BFSI Professionals, Marketing and Sales Professionals, Managers or Executives at Manufacturing, Construction etc.
Minimum Eligibility
Bachelor’s degree with 50% Final Graduation Score, no prior coding experience required
Job Opportunities
Data Scientist, ML Engineer, Data Analyst, Product Analyst, Business Analyst, Chief Architect
Syllabus covered
- Pre-Programme Preparatory Content
- Data Analysis in Excel
- Analytics Problem Solving
- Tools Covered
- Introduction to Python
- Programming in Python
- Python for Data Science
- Visualisation in Python
- IMDb Movie Assignment
- Exploratory Data Analysis
- Inferential Statistics
- Hypothesis Testing
- Data Analysis using SQL
- Credit EDA Case Study
- Tools Covered
- Introduction to Machine Learning and Linear Regression
- Linear Regression Assignment - Bike Sharing Systems
- Logistic Regression
- Unsupervised learning: Clustering
- Business Problem Solving
- Clustering Assignment
- Case Study: Lead Scoring
- Tools Covered
- Course 3 (Option to choose from 6 tracks)
- Data Generalist
- Natural Language Processing
- Deep Learning
- Business Analytics
- Data Analytics/Business Intelligence
- Data Engineering
- Tools Covered