* Cantinho Satkeys

Refresh History
  • j.s.: dgtgtr a todos  49E09B4F
    15 de Agosto de 2026, 15:07
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana  4tj97u<z
    15 de Agosto de 2026, 11:45
  • Alberto: Revistas
    15 de Agosto de 2026, 05:32
  • JP: try65hytr Pessoal 4tj97u<z 2dgh8i k7y8j0
    14 de Agosto de 2026, 05:05
  • j.s.: try65hytr try65hytr a todos  49E09B4F 49E09B4F
    11 de Agosto de 2026, 20:26
  • JP: try65hytr Pessoal 2dgh8i k7y8j0 r4v8p
    11 de Agosto de 2026, 04:30
  • FELISCUNHA: ghyt74   4tj97u<z  votos de um santo domingo para todo o auditório  101041
    09 de Agosto de 2026, 11:37
  • cereal killa: ghyt74 e bom fim de semana com muita chupadelas  r4v8p p0i8l
    08 de Agosto de 2026, 11:35
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana   4tj97u<z
    07 de Agosto de 2026, 11:56
  • JP: try65hytr Pessoal  2dgh8i k7y8j0 43e5r6
    07 de Agosto de 2026, 05:31
  • j.s.: dgtgtr a todos  49E09B4F 49E09B4F
    05 de Agosto de 2026, 13:50
  • FELISCUNHA: ghyt74  pessoal   49E09B4F
    05 de Agosto de 2026, 11:22
  • JP: dgtgtr Pessoal  4tj97u<z 2dgh8i k7y8j0
    03 de Agosto de 2026, 18:43
  • FELISCUNHA: dgtgtr   49E09B4F  e bom fim de semana  4tj97u<z
    01 de Agosto de 2026, 12:21
  • JP: try65hytr A Todos  4tj97u<z 2dgh8i k7y8j0 yu7gh8
    31 de Julho de 2026, 05:35
  • j.s.: ghyt74 a todos
    30 de Julho de 2026, 09:51
  • FELISCUNHA: ghyt74  pessoal  49E09B4F
    29 de Julho de 2026, 10:49
  • JP: dgtgtr Pessoal  4tj97u<z 2dgh8i k7y8j0
    27 de Julho de 2026, 19:40
  • j.s.: tenham um excelente domingo  yu7gh8 yu7gh8
    26 de Julho de 2026, 11:29
  • j.s.: ghyt74 a todos  49E09B4F 49E09B4F
    26 de Julho de 2026, 11:28

Autor Tópico: Analyze NBA data in Python  (Lida 353 vezes)

0 Membros e 1 Visitante estão a ver este tópico.

Offline mitsumi

  • Sub-Administrador
  • ****
  • Mensagens: 134901
  • 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