Python Data Analysis Bootcamp: From Zero to Hero
UpSkill with Success Analytics
18 modules
English
Certificate of completion
Become a Python coding expert through a comprehensive bootcamp focused on Python libraries for data analysis, including pandas, NumPy, Matplotlib, and Seaborn.
Overview
This Python Bootcamp course focuses on teaching modular coding principles with a specific emphasis on object-oriented programming. Through hands-on exercises and real-world projects, students will gain a solid understanding of how to write efficient and maintainable Python code using object-oriented programming concepts.
Key Highlights
Learn to write clean and modular code in Python
Understand the principles of object-oriented programming (OOPs)
Explore inheritance, polymorphism, and encapsulation
Create reusable classes and objects for efficient development
Implement real-world applications using OOPs concepts
Get hands-on experience through coding exercises and projects
What you will learn
Gain In-Depth Knowledge of Python
Learn the ins and outs of Python programming language, including data types, control flow, functions, and more.
Master Object-Oriented Programming (OOPs)
Understand the core concepts of OOPs, such as classes, objects, inheritance, polymorphism, and encapsulation.
Building Modular Code
Discover techniques to write clean and reusable code by leveraging the power of modular programming.
Implementing OOPs Concepts in Real-World Projects
Apply your knowledge in real-world scenarios by building projects that utilize OOPs concepts and best practices.
Hands-On Exercises and Coding Projects
Practice your skills and reinforce your learning through a series of hands-on exercises and coding projects.
Modules
Live Class Section
1 attachment
Live Class Link
Python Introduction
10 attachments • 3 hrs
Introduction To Python and its Importance
Installation guide of Jupyter Notebook and use of Google Colab
Working with Python notebooks
Variable Declaration and Memory Allocation
Built-in Python Datatypes
Python Objects, Number & Booleans, Strings.
Operators - Arithmetic, Bitwise, Comparison And Assignment Operators, Operator's Precedence And Associativity
Day 1 System Setup
Day 2 - Python Variables
Day 3 Python
Conditional Statement and Loops
7 attachments • 2 hrs
Conditional Statements | if, elif, else
Iterating using For loop | Syntax
Iterating using For loop | Continue | Break | enumerate
Iterating using While Loop | Syntax
Python Assignment - 1 | Conditional and Looping Statements
Day 4- Conditional Statement
Day 5 - Conditional Statement
Python Loops & Functions
4 attachments
Branching (If Else Elif)
Range
Loops, Indexing
Break and Continue
Python Data Structure
7 attachments • 2 hrs
Python Data Structure - List
Python Data Structure - Tuple
Python Data Structure - Dictionary
Python Data Structure - Set
Python Data Structure - List
Python Data Structure - Dictionary
Python Data Structure - Tuple & Set
Functional Programming
7 attachments • 1 hrs
List Comprehension - Dict Comprehension
Functional Programming | Map - Filter - Lambda
Function Iterators | Generator functions
Iterators and Itertools
Lambda Function
Map, Reduce, Filter Functions.
Functional Programming
File Operation
4 attachments
Working With Files
Reading And Writing Files
Buffered Read And Write
Other File Methods.
Exception Handling
4 attachments • 32.62 mins
Exceptions Handling With Try-Except
Custom Exception Handling
List Of General Use Exception
Exception Handling
Object Oriented Programming
3 attachments
Introduction to Object Oriented Programming
Object Oriented Programming - Class Method and Static Method
Object Oriented Programming - Inheritance
Web Scraping and Databases Handling
2 attachments
Web Scraping using BeautifulSoup
Executing Database Queries Using Python | sqlite3 Module
Python Framework
2 attachments
Flask
Streamlit
Advanced Python Concepts
Python for Data Analysis
4 attachments
Understanding Python packages
Python Package - Numpy
Python Package - Pandas
Reading a CSV file with Pandas
Dive Deep Into Pandas
11 attachments
Pandas Series
Extract data using indexes
Filtering data in the data frame
Data Transformations with Pandas data frame
Data aggregation with pandas
Merging, joining and concatenating data frames
working with dates and times in data frame
pivot and unpivot with pandas
Input and output in pandas
Data visualization with pandas
data type conversion
Dive Deep Into NumPy
12 attachments • 2.18 mins
Numpy - Nd Array Object.
Numpy - Data Types.
Numpy - Array Attributes.
Numpy - Array Creation Routines.
Numpy - Array From Existing.
Data Array From Numerical Ranges.
Numpy - Indexing & Slicing.
Numpy – Advanced Indexing.
Numpy - Mathematical, Arithmetic Functions.
Numpy - Array Manipulation.
Numpy - Advanced Manipulation.
NumPy Tutorial
Visualization Libraries
3 attachments
Matplotlib
Seaborn
Plotly
Working with databases and other file types using pandas
5 attachments
connection to SQL database
reading data from a table
writing back to SQL database
working with Excel files
working with JSON files
End to End Python Projects
8 attachments
Build a Hotel Booking App with Python in OOPS
Youtube Playlist Video Downloader
Build an SQLite Student Management System with Python in OOPS
Build a Portfolio Website with Email Sender Integration
Build a Job Application using Python and Flask
Web Scraping project
End to End Data Analysis Project - On-Demand
End to End Data Analysis Project - On-Demand
Certification
When you complete this course you receive a ‘Certificate of Completion’ signed and addressed personally by me.
FAQs
How can I enrol in a course?
Enrolling in a course is simple! Just browse through our website, select the course you're interested in, and click on the "Enrol Now" button. Follow the prompts to complete the enrolment process, and you'll gain immediate access to the course materials.
Can I access the course materials on any device?
Yes, our platform is designed to be accessible on various devices, including computers, laptops, tablets, and smartphones. You can access the course materials anytime, anywhere, as long as you have an internet connection.
How can I access the course materials?
Once you enrol in a course, you will gain access to a dedicated online learning platform. All course materials, including video lessons, lecture notes, and supplementary resources, can be accessed conveniently through the platform at any time.
Can I interact with the instructor during the course?
Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.
About the creator
UpSkill with Success Analytics
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