* Cantinho Satkeys

Refresh History
  • FELISCUNHA: dgtgtr   49E09B4F  e bom fim de semana   4tj97u<z
    15 de Fevereiro de 2025, 16:34
  • j.s.: tenham um excelente fim de semana  49E09B4F
    14 de Fevereiro de 2025, 17:06
  • j.s.: dgtgtr a todos  4tj97u<z
    14 de Fevereiro de 2025, 17:06
  • FELISCUNHA: ghyt74  pessoal   49E09B4F
    14 de Fevereiro de 2025, 11:24
  • cereal killa: ghyt74 pessoal  classic
    14 de Fevereiro de 2025, 10:08
  • JPratas: try65hytr Pessoal  classic k7y8j0 h7ft6l
    14 de Fevereiro de 2025, 03:52
  • JPratas: dgtgtr A Todos  4tj97u<z k7y8j0 yu7gh8
    13 de Fevereiro de 2025, 18:08
  • FELISCUNHA: ghyt74  pessoal   49E09B4F
    13 de Fevereiro de 2025, 11:32
  • j.s.: try65hytr a todos  4tj97u<z
    12 de Fevereiro de 2025, 21:00
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana  4tj97u<z
    08 de Fevereiro de 2025, 11:36
  • j.s.: tenham um excelente fim de semana  43e5r6 49E09B4F
    07 de Fevereiro de 2025, 20:23
  • j.s.: try65hytr a todos  4tj97u<z
    07 de Fevereiro de 2025, 20:23
  • FELISCUNHA: ghyt74  pessoal   49E09B4F
    07 de Fevereiro de 2025, 11:24
  • JPratas: try65hytr A Todos  4tj97u<z classic k7y8j0
    07 de Fevereiro de 2025, 04:15
  • j.s.: dgtgtr a todos  49E09B4F
    06 de Fevereiro de 2025, 14:24
  • FELISCUNHA: ghyt74  pessoal   49E09B4F
    05 de Fevereiro de 2025, 11:33
  • JPratas: try65hytr Pessoal  4tj97u<z classic k7y8j0
    05 de Fevereiro de 2025, 02:35
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana   4tj97u<z
    01 de Fevereiro de 2025, 11:59
  • j.s.: tenham um excelente fim de semana  49E09B4F
    31 de Janeiro de 2025, 21:20
  • j.s.: try65hytr a todos  4tj97u<z
    31 de Janeiro de 2025, 21:20

Autor Tópico: Analyze NBA data in Python  (Lida 91 vezes)

0 Membros e 1 Visitante estão a ver este tópico.

Offline mitsumi

  • Moderador Global
  • ***
  • Mensagens: 118061
  • Karma: +0/-0
Analyze NBA data in Python
« em: 25 de Maio de 2021, 10:39 »

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.41 GB | Duration: 3h 16m
Learn to analyze data using the Python Pandas package

What you'll learn
Clean, analyze, and visualize data about NBA players

Description
What you'll learn:

- Go from zero coding knowledge to analyzing data in just 3 hours!

- Use the popular Python Pandas package to clean, analyze, and visualize data

- Analyze data for the NBA and learn to apply code to analyze any data set you like

Testimonials:

'No code is a superpower, but combining with a bit of code (Python in this case) takes things next level. Matt's one of the best teachers I know and explains complex topics in an easy to understand way. Each course is easily worth 5-10x the value he charges. Highly recommend checking it out!' -Seth, Founder of No Code MBA

'Very well-structured and approachable way to gain an initial understanding of Python. For the past 6-months or so I have been planning to dive into a self-taught Python course which is many hours long & daunting. Once I came across your course I felt it was a great way to spend an hour or so to cover the basic aspects but also walk away with a completed activity. So thank you for creating this course!' -Mike

'I'm loving this course! It's broken down amazingly well and I'm learning way more than I have in any other coding course I've taken.' -Lucas

Who this course is for:
Intermediate Python students looking to learn data analysis skills using the Pandas package

Screenshots


Download link:
Só visivel para registados e com resposta ao tópico.

Only visible to registered and with a reply to the topic.

Links are Interchangeable - No Password - Single Extraction