Grow Data Skills - Python Bootcamp For DSA & DATA LIBRARIES

Fast Track Python Bootcamp For
DSA & DATA LIBRARIES
(NooB 1.0 LIVE Batch)

Demo Class Video

Language English
Sessions 24
Duration1.5 Months
Starts On In Progress
Validity 1 Year
Mode Live

INR 2970 6600

This course includes

50+ hours content
45 minute live doubt session after each class and doubt support on discord
2 Industry level real world projects
Learn while solving real life examples in live lectures
Projects will be covered from scratch
Hands on exercises & quizzes after each module
Surprise live sessions with industry experts
Career & Interview Preparation guidance
Resume Preparation
Linkedin Profile Making
Certificate of completion

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Tools you'll learn

Course Content

What is Programming
Introduction To Python
Python Setup & IDE's (PyCharm/Visual Studio Code)
Data Types in Python
Operators in Python
If-Else & Conditional Logic
Nested If-Else
Loops & Iteration in Python
- a). For Loop
- b). While Loop
Python Built-In Data Structures
- a). String
- b). List
- b). List Comprehension
- c). Tuple
- d). Dictionary
- e). Set

Funtions in Python
Recursion
Built-In Functions in Python
- a). Lambda
- b). Map
- b). Reduce
- c). Zip
- d). Evaluate
Exception Handling in Python
Object Oriented Programming in Python
Production Grade Programming
Practice in Data Structures & Algorithms (DSA)
- a). Time & Space Complexity
- b). Big-O Notation
- b). Array
- c). String
- d). Searching
- e). Sorting
- f). Mathematical Problems
- g). Linked List
- h). Stack
- i). Queue
- j). BST
- k). Basic Dynamic Programming

Validate Your Python Knowledge - Build a Complete Card Game
Get Started With NumPy
Numpy Interview Questions
Application of Matrices in Data Handling
Get Started With Pandas
Data Handling with Pandas
Data Cleaning, Cleansing, Transformation in Pandas
Advance Pandas Transformation, Melt and Literal Eval

Cricket Scorecard Project Using Pandas
Introduction to Visualization Libraries - Seaborn, Matplotlib, Pyplot
Types of Analytics
Working on Complete Descriptive Analytics
Exploratory data analysis (EDA) Project 1 - Cricket Analytics , Deciding the Best Playing 11 for World Cup
Exploratory data analysis (EDA) Project 2 - Customer Churn Prediction

Attention Seeking Resume Preparation and Interview Strategies
Strategies To Crack Tech Interviews

Linkedin Profile Making
How To Expand Your Professional Network On Linkedin
How To Use Various Job Portals
How To Approach For Referrals

Course Schedule

Course Starts:

In Progress

Course Duration:

1.5 Months

Class Schedule:

LIVE [Tuesday, Thursday, Saturday, Sunday]

Mode of the Course:

LIVE mode

Class Timings(Weekday):

Tuesday, Thursday [8:00 PM - 10:00 PM Live Teaching, 10:00 PM to 10:45 PM Live Doubt Session] (IST)

Class Timings(Weekend):

Saturday, Sunday [02:00 PM - 04:00 PM Live Teaching, 04:00 PM to 04:45 PM Live Doubt Session] (IST)

Class Duration:

2 Hours Live Teaching, 45 minutes Doubt Solving

Class Recording Provided:

Yes

Course Validity:

1 year

Programming Language Used:

Python

Any Prerequisite? :

Passion And Willingness To Learn

Instructor

Shubhankit Sirvaiya

Shubhankit Sirvaiya is a Data Scientist at Accenture , mentored over 500+ students around Data Science Domain.

Fast Track Python Bootcamp For DSA & DATA LIBRARIES (NooB 1.0 LIVE Batch)

INR 2970 6600

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