The Data Manipulation in RPA course will provide knowledge about Variables, Arguments, and Data Manipulation. It will also introduce you to Variables and Arguments, their types, and their application in automation projects.
In the later part of the course, you will learn about data manipulation in Studio. You will also learn about the different methods and operations performed on different data types and their usage in automation projects. Building on each concept, there will be demonstration videos that will explain these operations and methods. The course has multiple practice exercises that will help strengthen your knowledge and understand the creation of workflows in Studio.
OO
Unbelievable Course. Great knowledge acquired and great compliment for Digital Marketing Professionals and Business Analyst.
HT
need more add update new video when UiPath update without remove old feature(like dictionary)
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This Specialization is rated as a beginner level. Not true. In the second module you will get into excersices that require VB programming skills. This class is at least intermediate and you will specifically need some prior VB skills before you take this course. UI please list VB as a pre-req so that people dont waste their time like me and get into the second module just to find out that they dont have all of the pre-reqs needed to be successful in this course.
Unbelievable Course. Great knowledge acquired and great compliment for Digital Marketing Professionals and Business Analyst.
Amazing tool for automation and testing.
excelente curso. muy practico
Great Refresher for me!
parfait bien fais
good course.
EXCELLENT
Very good
Awesome!
need more add update new video when UiPath update without remove old feature(like dictionary)
Thank you
Il corso è ad un livello molto inferiore rispetto ai temi trattati nei due precedenti corsi della trilogia "Advanced analytics, artificial intelligence, rpa & machine learning - base". E' praticamente un'infarinatura di alcuni elementi base di programmazione ed è tutto incentrato sull'uso dello strumento UiPath Studio con spiegazioni molto dettagliate step per step di ogni singolo passaggio per le azioni anche più semplici, spesso ripetute in modo annoiante. Sarebbe stato utile essere più veloci su questa parte e portare qualche esempio di applicazione degli algoritmi più complessi appresi nel corso di "Probability & Statistics for Machine Learning & Data Science" come ad esempio alcuni dei compiti svolti in python su algoritmi decisionali più complessi basati ad esempio sul t-test.