Course Content
Topic outline
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Begin your journey into Python with this user-friendly, self-paced course led by an expert. Python stands out as one of the most sought-after languages in the realms of programming and data science, and the need for professionals skilled in Python is at an all-time high.
This Python for Data Sciences course will guide you from no experience to writing Python code in just a few hours—no prior programming knowledge required! You will delve into Python fundamentals and explore various data types. You'll become adept with Python data structures such as lists and tuples, along with essential logic concepts like conditions and branching. You'll leverage powerful Python libraries, including Pandas, NumPy, and Matplotlib, for tasks like data manipulation, analysis, and visualization.
This course is ideal for those aspiring to roles in Data Science, Data Analytics, Software Development, Data Engineering, AI, DevOps, and many other fields.
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Lesson
Module 1: Python Basics and Data Manipulation
Module Overview
This module introduces the fundamentals of Python programming, focusing on essential concepts like data types, expressions, variables, and basic data structures. You will also learn how to perform data manipulation using key Python libraries. By the end of this module, you will be able to write basic Python programs and manipulate data for analysis.
What's Included
Videos
- Course Introduction
- Python Basics
- Data Types
- Expressions and Variables
- Data Structures: Lists and Tuples
Readings
Total 20 minutes
- About this course – 2 minutes
- Course Overview – 3 minutes
- Python Data Types – 5 minutes
- Summary: Python Basics and Data Manipulation – 10 minutes
Module 2: Python Libraries for Data Science
Module Overview
In this module, you will learn about essential Python libraries used in data science, such as Pandas and NumPy. You will understand how to manipulate and analyze data efficiently using these libraries. By the end of this module, you will be comfortable performing basic data analysis tasks.
What's Included
Videos
- Introduction to Pandas –
- Data Manipulation with Pandas –
- matplotlib
- sns
- sklearn
- Readings
Total 15 minutes
- Overview of Pandas – 5 minutes
- Summary: Python Libraries for Data Science – 5 minutes
Assignments
Total 40 minutes
- Module 2 Graded Quiz: Python Libraries – 15 minutes
- Practice Quiz: Pandas – 15 minutes
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Quiz
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This file contains the Python code that is used in the video. You can upload it into Colab and play with it. It is highly recommended to do more practice. Practice makes perfect.
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This file contains the complete code that is used in the video. You can upload it to Colab and practice with. It is highly recommended to used other models and visualization techniques to excel your skill.
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