Python Bootcamp for Data Analysis #1: Data Structures

Name: Python Bootcamp for Data Analysis #1: Data Structures
Rating: 4.3 (76 reviews)

From Zero to Hero: The First Module of Miuul's Python Bootcamp

Created byMiuul Data Science & Deep Learning

Last updated 6/2024

English

What you'll learn

Understand and effectively use Python’s fundamental data structures, including lists, dictionaries, tuples, and sets
Apply your knowledge to solve real-world analytical problems
Elevate your data management skills
Gain hands-on experience with Python

Course content

2 sections • 13 lectures • 1h 41m total length

Pycharm and Course Materials1:07
Taking Your First Steps with Python10:12
Take your first steps with python by creating a pycharm workspace and python file, running code, and exploring numbers, strings, types, assignments, variables, and basic arithmetic.
Virtual Environment2:32
Explore virtual environments as isolated workspaces that keep each project's libraries and versions separate, using Conda to run PyGame on Python 2.x while NumPy and Pandas differ across projects.
Package Management5:10
Explore python package management, downloading and installing external packages, managing dependencies with pip and conda, and understanding virtual environments.
Application: Virtual Environment and Package Management16:32
Learn to create and manage Python virtual environments with Conda and Pip, install packages, and export environments to yaml for easy replication.

Introduction to Data Structures9:44
Explore core data structures in Python, including numbers, strings, booleans, lists, dictionaries, tuples, and sets, with practical code examples and type queries in PyCharm.
Numbers5:08
Learn about numbers, integers and floats, define and print variables, perform arithmetic like multiply, divide, and exponentiation, and convert between int and float using int() and float().
Strings7:36
Explore strings as a core data structure for text in Python, covering single or multi-line strings, quoting, variables, indexing, slicing, and the in operator with case sensitivity and line breaks.
String Methods12:29
Learn to access string methods in Python with dir, distinguish methods from built-in functions like len, and apply upper, lower, replace, split, strip, and starts with to manipulate text.
List10:17
Explore Python lists as a versatile, modifiable, ordered, and comprehensive data structure. Learn creating lists, indexing, slicing, nested lists, type checks, and essential methods like len, append, pop, and insert.
Dictionary8:44
Master dictionaries in Python: store data as key-value pairs in curly braces, with mutable, ordered access since 3.7, and update or add pairs using the update method.
Tuple2:48
Explore tuples as immutable, ordered containers in Python, enabling index-based access and slicing, while showing how to modify them by converting to a list and back.
Set9:29
Explore Python sets, including creation via set and curly braces, and perform difference, symmetric difference, intersection, and union, while checking subset and encompasses relationships.

Requirements

This course is beginner-friendly, so no previous programming knowledge is necessary.
A curious mind and the enthusiasm to explore new concepts are crucial.

Description

Step into Miuul's Python Bootcamp for Data Analysis, a beginner-friendly course tailored to transform newcomers into adept programmers. Embark on your programming journey by mastering the setup of your coding environment and crafting your initial Python scripts. This course unfolds Python’s immense potential through engaging lessons that cover the fundamental syntax and explore the world of Python's data structures.

Miuul's Python Bootcamp is designed not just to teach but to inspire creativity and innovation in coding. Each module in this series is constructed with a hands-on approach, allowing you to directly apply what you learn in real-world scenarios. In this first section of the Python Bootcamp, you'll explore various data types and learn how to manage data collections with lists, dictionaries, tuples, and sets.

Moreover, as you progress, you'll tackle more complex concepts and techniques, preparing you for advanced topics in future courses. This bootcamp is your gateway to becoming a proficient Python programmer, equipped with the knowledge to tackle data analysis challenges and beyond.

Join us at Miuul's Python Bootcamp for Data Analysis, where learning to code becomes an adventure, empowering you to write, analyze, and innovate. Here, every line of code you write brings you one step closer to mastering the art of Python programming.

Who this course is for:

Individuals who have no prior experience with programming and are looking to start their journey with Python
Those interested in entering the field of data analysis and want to build a strong foundation in Python
Professionals aiming to transition into tech roles
Undergraduate and graduate students who require Python programming skills for research, projects, or coursework in computer science, engineering, statistics, or related fields.

Python Bootcamp for Data Analysis #1: Data Structures

What you'll learn

Explore related topics

Course content

Introduction5 lectures • 36min

Data Structures8 lectures • 1hr 6min

Requirements

Description

Who this course is for: