A Beginner's Guide to Python and Data Science
Learn Python and Data Science: Build the Essentials for Artificial Intelligence
Updated on Apr, 2024
Language - English
Development,Python,Data Science
Lectures -81
Resources -1
Duration -8.5 hours
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Course Description
This comprehensive Python and data science course teaches you everything you need to know to get started with data science, from learning the Python language to building and deploying data science projects.
A Beginner's Guide to Python and Data Science Overview
Python is a powerful programming language that is widely used in data science. Python and data science are in high demand in the job market. This course will teach you the fundamentals of Python and data science so that you can start building your own data science projects.
Data scientists are among the highest-paid professionals and Data science can be used to solve a wide range of problems in different industries. This course is designed for beginners with no prior experience with Python or data science. It covers all the essential topics from scratch on data science using Python.
Goals
What will you learn in this course:
- Learn the Python language and its basic syntax
- Write Python code to perform data science tasks.
- Use data science libraries to clean, analyze, and visualize data such as NumPy, Pandas, and Matplotlib.
- Build and deploy data science projects.
- Learn Object-oriented programming in Python
Prerequisites
What are the prerequisites for this course?
- No prior experience with Python or data science is required.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
4 Lectures
-
Python Introduction
02:06
02:06
-
Python Installation
02:28
02:28
-
Datai Team Github and Resources
01:00
01:00
-
Optional: Google Colab
01:12
01:12
Python Basics
16 Lectures
Object Oriented Programming
3 Lectures
Dealing with Programming Errors
3 Lectures
Numpy
6 Lectures
Pandas
7 Lectures
Visualization with Matplotlib
6 Lectures
Python Conclusion
1 Lectures
Data Science Introduction
1 Lectures
Kaggle and Data Science
5 Lectures
Introduction to Data Science
5 Lectures
Python Data Science Tool Box
3 Lectures
Cleaning Data
6 Lectures
Pandas Foundation
2 Lectures
Manipulating Data Frames with Pandas
2 Lectures
Titanic Project
9 Lectures
Data Science Conclusion
1 Lectures
Instructor Details
Datai Team Academy
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