* Cantinho Satkeys

Refresh History
  • FELISCUNHA: Votosde um santo domingo para todo o auditório  4tj97u<z
    24 de Novembro de 2024, 11:06
  • j.s.: bom fim de semana  49E09B4F
    23 de Novembro de 2024, 21:01
  • j.s.: try65hytr a todos
    23 de Novembro de 2024, 21:01
  • FELISCUNHA: dgtgtr   49E09B4F  e bom fim de semana
    23 de Novembro de 2024, 12:27
  • JPratas: try65hytr A Todos  101yd91 k7y8j0
    22 de Novembro de 2024, 02:46
  • j.s.: try65hytr a todos  4tj97u<z 4tj97u<z
    21 de Novembro de 2024, 18:43
  • FELISCUNHA: dgtgtr  pessoal   49E09B4F
    20 de Novembro de 2024, 12:26
  • JPratas: try65hytr Pessoal  4tj97u<z classic k7y8j0
    19 de Novembro de 2024, 02:06
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana  4tj97u<z
    16 de Novembro de 2024, 11:11
  • j.s.: bom fim de semana  49E09B4F
    15 de Novembro de 2024, 17:29
  • j.s.: try65hytr a todos  4tj97u<z
    15 de Novembro de 2024, 17:29
  • FELISCUNHA: ghyt74  pessoal   49E09B4F
    15 de Novembro de 2024, 10:07
  • JPratas: try65hytr A Todos  4tj97u<z classic k7y8j0
    15 de Novembro de 2024, 03:53
  • FELISCUNHA: dgtgtr   49E09B4F
    12 de Novembro de 2024, 12:25
  • JPratas: try65hytr Pessoal  classic k7y8j0 yu7gh8
    12 de Novembro de 2024, 01:59
  • j.s.: try65hytr a todos  4tj97u<z
    11 de Novembro de 2024, 19:31
  • cereal killa: try65hytr pessoal  2dgh8i
    11 de Novembro de 2024, 18:16
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana  4tj97u<z
    09 de Novembro de 2024, 11:43
  • JPratas: try65hytr Pessoal  classic k7y8j0
    08 de Novembro de 2024, 01:42
  • j.s.: try65hytr a todos  49E09B4F
    07 de Novembro de 2024, 18:10

Autor Tópico: Udemy - Hands-on Data Visualization With Python  (Lida 90 vezes)

0 Membros e 1 Visitante estão a ver este tópico.

Online mitsumi

  • Moderador Global
  • ***
  • Mensagens: 117576
  • Karma: +0/-0
Udemy - Hands-on Data Visualization With Python
« em: 23 de Junho de 2021, 11:39 »

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 49 lectures (4h 25m) | Size: 1.91 GB
Harness the power of MatDescriptionlib, Seaborn and Descriptionly to boost your data visualization skills!

What you'll learn:
Understand the most important components for data visualization
Build various types of graphs using Python libraries
Learn how to use Descriptionly, MatDescriptionlib and Seaborn
Build tools that can help you obtain new insights, explain data or findings clearly
Create interactive visualizations

Requirements
General Python knowledge is encouraged

Description
Understanding our data is key to our success, whether it's for analytical purposes or for our model building in AI/ML/DS or related domains. Moreover, being able to construct a captivating visualization to clearly help explain findings to teams, managers, stakeholders and more is a valuable skill necessary for the world of DS.

And in a world where presenting data is the new big thing, data visualization tools are a must in your data science toolkit. By building visualizations in the most popular visualization libraries, we can gain a deeper level of understanding and create mesmerizing presentations.

Hands-on Data Visualization With Python will help present the core concepts and structure of working with MatDescriptionlib, Seaborn, and Descriptionly so that you will be able to impress even the toughest managers with your ability to draw insights from data.

And once you're done with the course you'll be able to understand the most important components of data visualization after constructing various types of graphs, and solving practical challenges. This will allow you to stand out in your careers, build tools that can help you obtain new insights, explain data or findings clearly, create interactive visualizations and animations and more.

And if that´s not enough, you'll also become more familiar with some of the most used visualization libraries, and help practice Python programming in the meantime!

Who this course is for
Data Scientists who want to take their skills to the next level
ML/AI engineers that want to put together new sources of information or datasets
Data Analysts looking to understand how to present findings
BI Professionals desiring to level up their skills and create interactive graphs
Any one interested in programming or computer science
Software engineers or programmers looking to expand their skill set


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