Online or onsite, instructor-led live Data Cleaning or Data Cleansing training courses demonstrate through interactive hands-on practice how to clean and process data effectively.
Data Cleaning training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Data Cleaning training can be carried out locally on customer premises in Singapore or in NobleProg corporate training centers in Singapore.
NobleProg -- Your Local Training Provider
Testimonials
Using Road Safety data when doing praticals
Maphahamiso Ralienyane - Maphahamiso Ralienyane, Road Safety Department
Course: Data Cleaning
It was insightful and I gained a lot of data analysis skills
Mamonyane Taoana - Maphahamiso Ralienyane, Road Safety Department
Course: Data Cleaning
The explanation provided is clear.
Course: Data Analysis in Python using Pandas and Numpy
The notebooks and examples were on point.
Course: Data Analysis in Python using Pandas and Numpy
Trainer develops training based on participant's pace
Farris Chua
Course: Data Analysis in Python using Pandas and Numpy
clear explanation with adequate examples.
Raphael Reynold - Bertrand Chen, MINDEF
Course: Python for Data Analysis
The trainer explains in simple terms for easier understanding of the subject.
Bertrand Chen, MINDEF
Course: Python for Data Analysis
Patience of the trainer while making sure everyone understand the lesson
Yeo Yu Xin - Ministry of Defence, Singapore
Course: Python for Data Analysis
It's very hands-on and I can follow despite the lack of calculus background.
Wei Pin Ho - Ministry of Defence, Singapore
Course: Python for Data Analysis
Very hands-on practice, engaging and good amount of breaks in between. Thus did not feel tired/lethargic.
Charles Lim - Ministry of Defence, Singapore
Course: Python for Data Analysis
1. Clear theoretical explanation of concepts and alternatives to problem solving. 2. Practical examples where concepts are, and can be applied. 3. I learnt skills that I can use in my job, which will make some of my work easier 4. It will definitely bring some innovation into some of the reports I prepare for different Committees.
Sindiso Ndlovu - Export Credit insurance corporation
Course: Excel For Statistical Data Analysis
The reminder of the world of statistics :)
Export Credit insurance corporation
Course: 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
Course: Excel For Statistical Data Analysis
The fact he had dif excel and data sheets with exercises for us to do.
Deepakie Singh Sodhi - Queens College, CUNY
Course: Excel For Statistical Data Analysis
The effort made by the trainer to engage the audience, as well as time taken to prepare exercises.
Hollie Coe, Wild Bioscience
Course: Data Analytics With R
The exercises to test what I had learnt. It felt like problem solving and I felt a sense of pride when I could solve it.
Hollie Coe, Wild Bioscience
Course: Data Analytics With R
Lots of relevant examples and R markdown files, which I hope will be useful to refer to later.
Hollie Coe, Wild Bioscience
Course: Data Analytics With R
The tool was interesting and I see the use. I would like to learn about more about it.
Teleperformance
Course: Data Analytics With R
new tool which is "R" and I find it interesting to know the existence of such tool for data analysis
Michael Lopez - Teleperformance
Course: Data Analytics With R
Exercises on time series modeling
Teleperformance
Course: Data Analytics With R
I get answers on all my questions.
Natalia Gladii
Course: Data Analytics With R
I thought he did a great job of tailoring the experience to the audience. This class is mostly designed to cover data analysis with HIVE, but me and my co-worker are doing HIVE administration with no real data analytics responsibilities.
ian reif - Franchise Tax Board
Course: Data Analysis with Hive/HiveQL
Fulvio was able to grasp our companies business case and was able to correlate with the course material, almost instantly.
Samuel Peeters - Proximus Group
Course: Data Analysis with Hive/HiveQL
The handson. The mix practice/theroy
Proximus Group
Course: Data Analysis with Hive/HiveQL
The high level principles about Hive, HDFS..
Geert Suys - Proximus Group
Course: Data Analysis with Hive/HiveQL
The trainer was fantastic and really knew his stuff. I learned a lot about the software I didn't know previously which will help a lot at my job!
Steve McPhail - Alberta Health Services - Information Technology
Course: Data Analysis with Hive/HiveQL
The competence and knowledge of the trainer
Jonathan Puvilland
Course: Data Analysis with Hive/HiveQL
Dynamic interaction and "hands on" the subject, thanks to the Virtual Machine, very stimulating!
Philippe Job
Course: Data Analysis with Hive/HiveQL
good overview, good balance between theory and exercises
Proximus
Course: Data Analysis with Hive/HiveQL
It was a very practical training, I liked the hands-on exercises.
Proximus
Course: Data Analysis with Hive/HiveQL
Liked very much the interactive way of learning.
Luigi Loiacono
Course: Data Analysis with Hive/HiveQL
That we have used our own data as examples
Glycom A/S
Course: Data Analysis in Python using Pandas and Numpy
customized, in-house file processing and data analysis
Glycom A/S
Course: Data Analysis in Python using Pandas and Numpy
I liked the way that my trainer was teaching us, and the Meeting Room was taken for our course.
Mohammed Othman Karim, Sulaymaniyah Asayish Agency
Course: A Practical Introduction to Data Analysis and Big Data
Interactive topics and the style used by the lecture to simplified the topics for the students
Miran Saeed - Mohammed Othman Karim, Sulaymaniyah Asayish Agency
Course: A Practical Introduction to Data Analysis and Big Data
Smart and cleverness
Mohammed Othman Karim, Sulaymaniyah Asayish Agency
Course: A Practical Introduction to Data Analysis and Big Data
the trainer and his ability to lecture
ibrahim hamakarim - Mohammed Othman Karim, Sulaymaniyah Asayish Agency
Course: A Practical Introduction to Data Analysis and Big Data
Practical exercises
JOEL CHIGADA - University of the Western Cape
Course: A Practical Introduction to Data Analysis and Big Data
R programming
Osden Jokonya - University of the Western Cape
Course: A Practical Introduction to Data Analysis and Big Data
Overall the Content was good.
Sameer Rohadia
Course: A practical introduction to Data Analysis and Big Data
presentation of technologies
Continental AG / Abteilung: CF IT Finance
Course: A practical introduction to Data Analysis and Big Data
Willingness to share more
Balaram Chandra Paul
Course: A practical introduction to Data Analysis and Big Data
He is very knowledgeable and could answer all the questions
Chalmers Tekniska Högskola AB
Course: Elasticsearch for Developers
The trainer's openness to questions and willingness to help/answer/explain.
Chalmers Tekniska Högskola AB
Course: Elasticsearch for Developers
The explanation provided is clear.
Course: Data Analysis in Python using Pandas and Numpy
The notebooks and examples were on point.
Course: Data Analysis in Python using Pandas and Numpy
Data Cleaning Course Outlines in Singapore
Course Name
Duration
Overview
Course Name
Duration
Overview
7 hours
This instructor-led, live training in Singapore (online or onsite) 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.
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