Start Learning Python and SQL in this Python Programming Bootcamp. Get trained by Industry Experts with our highly recommended 8 weeks training program. This bootcamp is for beginners in coding who want to explore a career in Data Science.

5 out of 6 learners get positive career growth
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In association with

With Industry Experts From

Format

Live Online

Recommended 10-12 hours/week

8 Weeks

Batch Start Date

Coming Soon

Programme Overview

Key Highlights

Live Interactive Classes

Designed and Delivered by Industry Experts

Doubt Clearing Sessions

Practice Coding Questions

5 Tools and Technologies

upGrad Alumni Benefits

"Our aim is simple: We strive to create high-impact, hands-on experiences that prepare students for meaningful and productive careers.”

- Ronnie Screwvala, Co-Founder, upGrad

Syllabus

Best-in-class content delivered by industry leaders in the form of live lectures.

Download Syllabus

Top Skills You Will Learn

Important Python Syntaxes, Logic Building for Programming, Pview more

Who Is This Program For?

Fresh Graduates, Managers, Engineers, Software and IT Profesview more

Minimum Eligibility

Interest in learning Python Programming is a must. The admisview more

Programming Language & Tool Covered

Certification

Python Programming Bootcamp

Build an expertise in one the most powerful data science tools and earn an upGrad powered certificate.

Click to zoom

Earn a completion certificate by completing the course modules and attempting and clearing the practice questions.

Explore our Learning Platform

Learn on an AI-powered & personalised platform with best-in-class content, live sessions & mentoring from leading industry experts.

Instructors

Behzad Ahmadi

Data Scientist

An MTech graduate & a PhD holder from the New Jersey Institute of Technology, he possesses tremendous amount of exp. in the field of Data Science & ML. He has worked with industries like Qualcomm and currently is a Data Scientist at Walmart Labs.

Sajan Kedia

Data Scientist

Having graduated from the Indian Institute of Technology, BHU, Varanasi. Sajan has tons of exp. in Data Science, Big Data, Spark, Machine Learning and NLP. He is a certified Machine Learning expert and has worked as a Research engineer for IBM in the past.

Syllabus

Best-in-class content delivered in the form of recorded content and live lectures.

Download Brochure

50+

Hours of Content

25+

Live Learning Hours

Tools/Languages/Libraries

100+

Practice Questions

20+

Hours of TA Doubt Resolution Sessions

Live Sessions

Preparatory Content

1 Week

Data Analysis using Excel

Introduction to Python and Logic-Based Programming

3 Weeks

Recorded Module I: Python Basic Syntaxes and Data Structures
Recorded Module II: Python Programming Constructs and Functions
Live Session I: Python Crash Course - I - Developing Logic in Programming
Live Session II: Hands-on Session on Basic Python Syntaxes
Live Session III: Python Crash Course - II - Data Structures
Live Session IV: Hands-on Session on Data Structures
Live Session V: Python Crash Course - III: I/O, Error Handling and Best Practices, Functional Programming (filter, map, reduce, lambda)
Live Session VI: Hands-on Session on Functional Programming
Practice: 30 MCQs, 30 Coding Questions

Python for Data Science using Pandas

2 Weeks

Recorded Module I: Python for DS - Basic Database Programming using Pandas
Recorded Module II: Python for DS - Advanced Database Programming using Pandas
Live Session I: NumPy and Pandas - Walkthrough of major syntaxes
Live Session II: Manipulating Databases through Pandas & Built-in Functions
Practice: 20 MCQs, 15 Coding Questions

Database Programming using MySQL

2 Weeks

Recorded Module I: Basics of SQL - Databases, DDL, DML, Basic Syntaxes
Recorded Module II: Basics of SQL - Joins, Merges, Functions
Live Session I: Walkthrough of Major SQL Syntaxes
Live Session II: Hands-on on Major SQL Syntaxes and Doubt Resolution
Practice: 5 MCQs, 20 Coding Questions

Note:

These Instructors are for the recorded content only. Please contact the admission counsellor to know more about the experts conducting the live sessions.

The upGrad Advantage

Learning Support

Student Support Team

Student Support available all day for your convenience (24*7)
For urgent queries, use the Call Back option on the platform

Industry Networking

Live sessions by experts on various industry topics
Group discussions

Doubt Resolution

Q&A Forum

Timely doubt resolution by peers and Teaching Assistants on the Q&A forum
Personalised feedback on assignments and case studies

Expert Feedback

Personalized expert feedback on assignments and projects
Regular live sessions by experts to clarify concept-related doubts

Program Fees

₹ NaN (No taxes applicable)

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Based on upGrad NPS response data obtained from ~1252 learners, between 2nd Oct'21 to 18th Oct'21 for upGrad courses*. The review was performed by Deloitte Touche Tohmatsu India LLP. upGrad is a platform to facilitate program delivery by educational institutions and is not a college or a university itself. *programs.upgrad.com/disclaimer_courselist.

Frequently Asked Questions

Refund Policy/Financials

What is the refund policy for this program?

1. Student can claim a refund of the amount paid towards to the Program fee, at any time before the Program start date by applying on our website www.upgrad.com under ‘My Application’ page. In such refund cases, learner shall be eligible to claim the refund subject to a deduction of INR 10,000 towards processing fee.

2. Student shall not be eligible for any refund once the Program commences. This is applicable even for those students who could not complete their payment and could not be enrolled in the batch opted for. However, the student can avail pre-deferral as per the policy defined below for the same.

3. For refund requests raised as per #1 of the Refund Policy, such requests shall be processed for an eligible student within 30 working days from the date of receipt of duly signed refund form.

4. In case there is any discrepancy between the application and self-attested documents, the admission offer stands cancelled. In such cases, learner shall not be eligible for any refund under any circumstances.

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