Hands On Python Data Science - Data Science Bootcamp

Name: Hands On Python Data Science - Data Science Bootcamp
Rating: 4.4 (417 reviews)

Master Python for Data Science with Real-World Applications: Dive Deep into Data Analysis, Machine Learning

Created bySayman Creative Institute

Last updated 3/2026

English

What you'll learn

A strong foundation in Python programming concepts, including variables, data types, control flow, and functions.
Effective use of various data structures, such as lists, tuples, dictionaries, and sets.
Proficiency in the NumPy library for efficient numerical computations and array manipulation.
Skillful application of the Pandas library for data cleaning, filtering, grouping, and aggregation.
Exposure to fundamental machine learning concepts and algorithms using Scikit-learn.

Course content

1 section • 25 lectures • 6h 3m total length

Introduction2:11
Begin Python for data science by building a Jupyter notebook and mastering variables, data types, lists, dictionaries, loops, list comprehensions, and functions. Apply these skills in a class project.
An Introduction to Python for Data Science15:51
Getting Started8:49
Start your data science journey by installing Python, setting up Anaconda for Jupyter notebooks, and configuring the environment across Windows, Mac, or Linux.
Creating your Jupyter Notebook22:12
Learn to create and run your first Jupyter notebook, write and execute Python code in cells, navigate with shortcuts, and export notebooks as Python scripts using Anaconda and VS Code.
Creating your Jupyter Notebook New22:27
Create your first Jupyter notebook and print hello world, learn to navigate cells, run code, save and export as Python script in a data science workflow.
Cell Types and it's usage14:02
Learning about Variables- Part 118:59
Learn how variables act as containers in Python for data science, assign and print values in a Jupyter notebook, identify data types such as string, int, float, and booleans.
Strings, Integers, Floats and Booleans16:26
Lists and Tuples15:18
Learning about Sets New Update11:23
A Dictionary10:20
The CRUD for Lists27:11
The CRUD for Dictionary19:24
Learn the CRUD for dictionary in Python, including creating dictionaries, reading all and by key, updating values, adding new keys, and deleting keys with practical examples.
If, Else and Elif Statement22:30
IN Statement13:23
Understanding about the For Loop20:19
About Continue, Break and Pass16:18
About the While Statement19:25
How to Loop Through Dictionaries14:59
Learn to loop through dictionaries in Python by iterating over keys, values, and key-value pairs using for loops and the dictionary methods keys, values, and items.
The List Comprehensions7:55
Defining a Function New Update8:18
Understanding Positional Arguments15:22
Having Multiple Positional Arguments7:45
Class Project 15:23
Class Project 26:57

Requirements

No experience required

Description

This comprehensive course is designed for both beginners and those looking to sharpen their data science skills. Through a step-by-step approach, you’ll learn to harness Python’s powerful libraries like Pandas, NumPy, Matplotlib, and Scikit-Learn, enabling you to analyze, visualize, and draw insights from data like a pro.

What You'll Learn:

Python Fundamentals for Data Science: Master the essentials of Python programming and understand how to apply them in data science.
Data Analysis & Manipulation: Explore how to clean, filter, and manipulate large datasets using Pandas and NumPy.
Data Visualization: Create stunning visualizations using Matplotlib and Seaborn to communicate insights effectively.
Machine Learning Made Easy: Dive into key algorithms such as regression, classification, and clustering using Scikit-Learn, and apply them to real-world projects.
Real-World Projects: Work on hands-on projects, including data analysis and predictive modeling, that will give you a portfolio to showcase your skills.

Why Enroll in This Course?

Hands-On Learning: Get practical experience with coding exercises, quizzes, and real-world projects.
Industry-Relevant Skills: Acquire the tools and techniques used by top data scientists in the industry.
Guided Support: Learn with easy-to-follow lessons, and get answers to your questions through interactive Q&A.
Lifetime Access: Revisit lessons anytime, anywhere, and continue your learning journey at your own pace.

Whether you’re an aspiring data scientist, analyst, or someone looking to make data-driven decisions, this bootcamp is your gateway to a successful data science career. Enroll now and transform raw data into actionable insights!

Who this course is for:

Individuals with no prior programming experience but a desire to learn data science.