Bydgoszcz

sale szkoleniowe NobleProg, ul. Dworcowa 94, Bydgoszcz, poland, 85-010
Sala szkoleniowa znajduje się przy ul. Dworcowej 94 w Bydgoszczy

Toruń

Sale szkoleniowe NobleProg, Bydgoska 1, Toruń, poland, 87-100
Sale szkoleniowe NobleProg w Toruniu znajdują się w biurze Coworking Toruń przy ulicy Bydgoskiej 1

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Algorithmic Trading with Python and R

14 godzin
Algorithmic trading is the practice of implementing pre-programmed instructions for placing trades. In theory, with algorithmic trading users will be able to achieve profits at a frequency not possible for a human trader. This instructor-led, live training (online or onsite) is aimed at business analysts who wish to automate trade with algorithmic trading, Python, and R. By the end of this training, participants will be able to:
  • Employ algorithms to buy and sell securities at specialized increments rapidly.
  • Reduce costs associated with trade using algorithmic trading.
  • Automatically monitor stock prices and place trades.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
Więcej...

Stata: Beginner to Advanced

14 godzin
Stata is an open source general-purpose software package written in C. With Stata, users can analyze large data sets for use cases such as economics, sociology, biomedicine, etc. This instructor-led, live training (online or onsite) is aimed at data analysts who wish to analyze large data sets with Stata. By the end of this training, participants will be able to:
  • Create statistic models for predicting key interest variables and events.
  • Generate descriptive visualizations, summary tables, frequencies, and more.
  • Manage and structure large datasets, ready for data analysis.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
Więcej...

Statistical Analysis with Stata and R

35 godzin
Stata is a general-purpose software package written in C. R is a programming language and software environment for statistical computing. Using Stata and R, users can analyze large data sets for use cases such as economics, sociology, biomedicine, etc. This instructor-led, live training (online or onsite) is aimed at data analysts who wish to use Stata and R to analyze big data for statistical analysis. By the end of this training, participants will be able to:
  • Create statistic models for predicting key interest variables and events.
  • Generate descriptive visualizations, summary tables, frequencies, and more.
  • Manage and structure large databases to preapare for data analysis.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
Więcej...

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Opinie uczestników (12)

team work

Nhluvuko Mayimele - Interfront SOC Ltd
Szkolenie - Stata: Beginner to Advanced

Data management, reporting and statistics concepts.

Dumisani - Interfront SOC Ltd
Szkolenie - Stata: Beginner to Advanced

Podstawowe informacje pozwalajae na samodzielne rozpoczęcie pracy i uwagi dot. optymalizacji podejścia

Robert Kaźmierczak
Szkolenie - Microsoft Office Excel - moduł Business Intelligence

All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.

Mathipa Chepape - Vodacom
Szkolenie - Big Data Business Intelligence for Telecom and Communication Service Providers

All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.

Mathipa Chepape - Vodacom
Szkolenie - Big Data Business Intelligence for Telecom and Communication Service Providers

the personalized part during which I was able to work on my project and directly apply the elements of the training

Caroline - Schreder
Szkolenie - Power BI Dashboards

Un training bine conceput pe intelesul tuturor. La inceputul fiecarei sesiuni s-a facut o scurta recapitulare. Trainerul a predat concis si la obiect.

Cosmin - Ursus Breweries S.A.
Szkolenie - Power BI Dashboards

the teachers pacience.

Camelia-Gabriela - Ursus Breweries S.A.
Szkolenie - Power BI Dashboards

Trainers are very knowledgeable, and patient in ensuring students could follow the lecture.

Trudy Staples Girardin - Indigenous Services Canada
Szkolenie - Power BI Dashboards

I felt like we saw the whole spectrum of what Power BI can do. The trainers were super knowledgeable and so patient with our group.

Angela Murphy - Indigenous Services Canada
Szkolenie - Power BI Dashboards

Do aprendizado, conseguir colocar em prática os exercícios propostos.

Samanta - Imdepa Rolamentos
Szkolenie - Qlik Sense for Data Science

Younes is a great trainer. Always willing to assist, and very patient. I will give him 5 stars. Also, the QLIK sense training was excellent, due to an excellent trainer.

Dietmar Glanninger - BMW
Szkolenie - Qlik Sense for Data Science

Pozostałe regiony w Polsce

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Konsultacje

Stata Konsultacje
Szkolenie Stata kujawsko-pomorskie, szkolenie wieczorowe Stata kujawsko-pomorskie, szkolenie weekendowe Stata kujawsko-pomorskie, Stata boot camp kujawsko-pomorskie, kurs zdalny Stata kujawsko-pomorskie, nauczanie wirtualne Stata kujawsko-pomorskie, wykładowca Stata kujawsko-pomorskie, Trener Stata kujawsko-pomorskie, kurs online Stata kujawsko-pomorskie, edukacja zdalna Stata kujawsko-pomorskie, Kursy Stata kujawsko-pomorskie, nauka przez internet Stata kujawsko-pomorskie, lekcje Stata kujawsko-pomorskie, instruktor Stata kujawsko-pomorskie, Kurs Stata kujawsko-pomorskie
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