Last updated 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 104 Lessons ( 3h 13m ) | Size: 1 GB

Unlock the Power of Data with Python.

What students are saying
Working my way through the[...] bundle. GREAT tutorial/training! Well thought out and presented. Highly recommended.
-- Maarburg

Source code and course GitHub repository
github.com/talkpython/data-science-jumpstart-with-10-projects-course

What's this course about and how is it different?
This course will empower you with the skills and tools to dive deep into data science using Python. We assume you have a foundational understanding of Python but not data science concepts. This course exposes you to the same tools that data scientists, data engineers, analysts use data to tackle real-world challenges.

In this course, you will
Delve into loading, cleaning, summarizing, and basic statistics with both CSV and Excel data.
Master the art of combining and reshaping datasets to uncover hidden patterns in the Retail Data Insights project.
Understand missing data handling, abnormal data recognition, and foundational machine learning techniques through Health Data Deep Dives.
Create models to explore Air Quality Trends & Movie Reviews.
Construct interactive dashboards using Plotly and explore SQL databases in the Interactive Dashboards & SQL Exploration section.
Harness powerful libraries such as Pandas, Matplotlib, Plotly, and more.
Transform from a data enthusiast to a Data Hero!

Who is this course for?
For anyone passionate about unveiling data insights using Python. Whether you are a beginner just starting with data science or an intermediate learner aiming to solidify your understanding and get exposure to more libraries, this course has something for everyone.

Homepage
Code:
https://training.talkpython.fm/courses/data-science-jumpstart-with-10-projects


Code:

	
Code:

	
https://rapidgator.net/file/bea2be8281181827d9be948537353d05
https://rapidgator.net/file/32c804ecee9c15cf27d2e16306ca2757



	
Code:

	
https://ddownload.com/uuqa0k1ntcuf
https://ddownload.com/ik6nieiurf9i