Lokální instruktorem vedené Data Cleaning školení České republice.
Reference
Prezentace nových nástrojů, které jsem předtím nevěděl.
Knauf Bełchatów Sp. z o.o.
Kurz: Excel For Statistical Data Analysis
Machine Translated
The flexibilty and clear information
WAFEYA AlMadhoob - Tatweer Petroleum
Kurz: Advanced Python
I liked that we got a general overview of elastic and learned tons of things that could be applied in current project the first day. I also liked that we went through current project code with a code review and mention improvements or/and stuff to think about or take up for discussion in the project on the second day. I like that the training gave me a good base to continue delve into elastic search.
Mattias Hansson - Chalmers Tekniska Högskola AB
Kurz: Elasticsearch for Developers
Otevřenost školitele otázkám a ochota pomoci / odpovědět / vysvětlit.
Chalmers Tekniska Högskola AB
Kurz: Elasticsearch for Developers
Machine Translated
He is very knowledgeable and could answer all the questions
Chalmers Tekniska Högskola AB
Kurz: Elasticsearch for Developers
The content.
HSBC Service Delivery (Polska) Sp. z o.o
Kurz: Python Programming
Pictures
HSBC Service Delivery (Polska) Sp. z o.o
Kurz: Python Programming
Willingness of Krzysztof to answer all questions.
HSBC Service Delivery (Polska) Sp. z o.o
Kurz: Python Programming
Live coding, helping with code and different bugs, explanation with examples
HSBC Service Delivery (Polska) Sp. z o.o
Kurz: Python Programming
Good interaction with audience, a lot of questions
Kinga Kalinowska - HSBC Service Delivery (Polska) Sp. z o.o
Kurz: Python Programming
The course has good proportion between theory and practice, knowledgeable trainer, a lot of training materials and user in practice.
HSBC Service Delivery (Polska) Sp. z o.o
Kurz: Python Programming
It covered many algorithms of ML and is useful to provide a track
HSBC Service Delivery (Polska) Sp. z o.o
Kurz: Python Programming
It was cery consistent
HSBC Service Delivery (Polska) Sp. z o.o
Kurz: Python Programming
All the exercises have been discussed
HSBC Service Delivery (Polska) Sp. z o.o
Kurz: Python Programming
Overall I liked course a lot. Good discussions. Sometimes to overall, but I understand that we were short of time.
HSBC Service Delivery (Polska) Sp. z o.o
Kurz: Python Programming
It covered systematically all the main topics of machine earning: both the theory and implementation. It gave me great background for further work. It also answered most of the questions about machine learning that I had up to this point.
HSBC Service Delivery (Polska) Sp. z o.o
Kurz: Python Programming
Trainer develops training based on participant's pace
Farris Chua
Kurz: Python Programming Fundamentals
Trainer develops training based on participant's pace
Farris Chua
Kurz: Data Analysis in Python using Pandas and Numpy
The notebooks were well-prepared and the examples were on point.
Kurz: Python Programming Fundamentals
The notebooks and examples were on point.
Kurz: Data Analysis in Python using Pandas and Numpy
The hands on
Kurz: Python Programming Fundamentals
The explanation provided is clear.
Kurz: Data Analysis in Python using Pandas and Numpy
Znalosti lektora, konferenční místnost se mi nelíbila.
Konrad Wiśniewski - UPC Polska Sp. z o.o.; Nordea Bank AB SA; Izba Administracji Skarbowej w Gdańsku
Kurz: Python Programming
Machine Translated
The fact he had dif excel and data sheets with exercises for us to do.
Deepakie Singh Sodhi - Queens College, CUNY
Kurz: Excel For Statistical Data Analysis
Steve was willing to answer every questions and worked diligently to address any individual concerns or technical issues as they arose in the class. He also did a great job of presenting the technical details in a way that made it less intimidating to even the least tech savvy people in the room. Personally, learning about some useful shortcuts in Excel that I didn't know about will certainly improve my overall workflow when using Excel in the future! I am so appreciative of those little details that I was exposed to during the two-day training.
Alan Gonzalez - Queens College, CUNY
Kurz: Excel For Statistical Data Analysis
Všechno
Albert JACOB - Proximus
Kurz: Python Programming
Machine Translated
všechno bylo v pořádku
Atos Global Delivery Center Polska Sp. Z o.o. Sp. K.,
Kurz: Advanced Python
Machine Translated
Flask , datové třídy
Atos Global Delivery Center Polska Sp. Z o.o. Sp. K.,
Kurz: Advanced Python
Machine Translated
R programming
Osden Jokonya - University of the Western Cape
Kurz: A Practical Introduction to Data Analysis and Big Data
Practical exercises
JOEL CHIGADA - University of the Western Cape
Kurz: A Practical Introduction to Data Analysis and Big Data
The pace was very good Revising topics at the beginning of every session
Qarar Consultancy FZ LLC
Kurz: Python Programming
The notebooks were well-prepared and the examples were on point.
Kurz: Python Programming Fundamentals
The notebooks and examples were on point.
Kurz: Data Analysis in Python using Pandas and Numpy
The hands on
Kurz: Python Programming Fundamentals
The explanation provided is clear.
Kurz: Data Analysis in Python using Pandas and Numpy
Data Cleaning Návrh Školení
Název školení
Doba trvání
Přehled
Název školení
Doba trvání
Přehled
7 hodin
Přehled
Data Cleaning or Data Cleansing refers to the process of detecting and fixing issues in a data set before analyzing it.
This instructor-led, live training (onsite or remote) is aimed at data scientists, data analysts, and business analysts who wish to clean and process data effectively.
By the end of this training, participants will be able to:
- Develop an effective data cleaning strategy.
- Implement useful tools for data cleaning.
- Get a result more efficiently.
- Learn and apply data cleaning best practices.
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.
This instructor-led, live training (onsite or remote) is aimed at data scientists, data analysts, and business analysts who wish to clean and process data effectively.
By the end of this training, participants will be able to:
- Develop an effective data cleaning strategy.
- Implement useful tools for data cleaning.
- Get a result more efficiently.
- Learn and apply data cleaning best practices.
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.
Ostatní regiony
Ostatní země
Konzultace
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