Data Science and Data Analysis with Python
Python Data Science and Data Analysis
2h 6m16 lectures2 sections
What you'll learn
- Learn data analysis fundamentals
- Understand core Python libraries
- Create charts using Matplotlib
- Implement practical data analysis
- Use Python in data science
- Analyze data effectively
About this course
Data science is a field that combines statistics, computing, mathematics, data science, and artificial intelligence. It focuses on handling and analyzing data to extract insights and underlying patterns for better decision-making. Data science is applied in various domains such as marketing, advertising, medicine, education, economics, and industry. It requires leveraging statistical analysis, programming, artificial intelligence, and machine learning techniques. In this course, we will learn all of this through practical application using Python.
Expected outcomes
- Master the fundamentals of data science
- Handle and analyze various types of data
- Create visualizations to illustrate and analyze data
- Implement data analysis projects using Python
Course content
1Python Data Science
15 lectures
- Introduction to Data Analysis6:02
- Setting Up the Work Environment18:28
- Basics of Python Language12:43
- Working with Numpy Library (Part One)
- Working with Numpy Library (Part Two)
- Data Processing Using Pandas Library
- Loading and Exploring Data7:24
- Data Filtering12:24
- Data Collection6:50
- Handling Missing and Duplicate Data9:39
- Explaining Matplotlib and Working with Graphics11:41
- Explaining Visual Data and Graphics14:14
- Adding and Updating Data5:32
- Summary of Everything Studied Before Starting the Project7:45
- Practical Application of What Has Been Studied (Creating a Complete Project)13:45
2Add-ons
1 attachments
- Downloading Course Attachments
Instructor
Eng. Walid Imad
7,209 students5 courses
This course is part of the diploma
