IIIT Bangalore - Data Science Bootcamp
- Offered byupGrad
- Private Institute
- Estd. 2015
Data Science Bootcamp at upGrad Overview
Duration | 10 months |
Total fee | ₹1.50 Lakh |
Mode of learning | Online |
Credential | Certificate |
Data Science Bootcamp at upGrad Highlights
- Certification from IIIT Bangalore
- Designed for making an entry in Data Science field
- Industry Relevant Curriculum
- 300+ Hours of Learning
- 7+ Projects and Case Studies & 2 Programming Labs/Hackathons
- 15+ Hours of Async Interview Preparatory Content
- 5+ Interview Playbooks comprising Comprehensive List of Interview Questions
- 8+ Industry Readiness Assessments (IRA) Tests
- Daily Doubt Resolution Sessions
- Personalized Industry Sessions
- Career Mentorship Sessions (1:1)
- Mock/Just-in-time Interview Calls
- Career Essential Soft Skills Programme
- Access to upGrad Job Portal
- AI Powered Profile Builder
Data Science Bootcamp at upGrad Course details
- For Fresh Graduates, Managers, Engineers, Software and IT Professionals, Marketing & Sales Professionals, etc. who are beginners in programming and looking to enter in Data Science field
- Statistics, Python Programming, Predictive Analytics using Python, Basic & Advanced SQL, Visualization using Python, EDA, Basic & Advanced Machine Learning Algorithms
- The programme is an engaging, yet rigorous, 9-10 months online programme designed specifically for working professionals to develop practical knowledge and skills, and accelerate entry into a Data Science careers
Data Science Bootcamp at upGrad Curriculum
Course 1 - Data Toolkit
Maths for DS
Intro to Python
Programming in Python-I
Programming in Python-II
Python for DS
Data Analysis in Excel + Advanced Excel
Data Visualisation in Python
Exploratory Data Analysis
Credit EDA Assignment
Advanced Programming
Best Programming Practices + GIT
Basics of SQL
Advanced SQL - I
Advanced SQL - II
Advanced SQL - III
SQL - RSVP Movies Case Study
Python/SQL Lab
Basic Viz. using Tableau
Advanced Tableau
Data Storytelling
Airbnb Case Study
Course 2- Machine Learning 1
Inferential Stats
Hypothesis Testing
Business Problem Solving - I
Linear Regression - I
Linear Regression - II
Linear Regression Assignment
Logistic Regression
Decision Trees
Unsupervised Learning: Clustering
Basics of NLP and Text Mining
Case Study: Lead Scoring
Hackathon
System Design + Reporting Analytics
Deployment Basics
Capstone Project
ECP Electives
Data Analytics
Business Analytics
Deep Learning
Natural Language Processing
Data Engineering