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Autor Tópico: KNIME Analytics Bootcamp - ETL Tools for Data Science  (Lida 413 vezes)

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KNIME Analytics Bootcamp - ETL Tools for Data Science
« em: 23 de Agosto de 2020, 13:53 »

KNIME Analytics Bootcamp - ETL Tools for Data Science
Duration: 2h36m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.38 GB
Genre: eLearning | Language: English
Learn data analysis and manipulation using the most popular, open-source, and no-coding automation platform

What you'll learn
JOIN Types
Changing names of the column headers
Merging columns to create a new column
Pattern Matching Criteria
Range Checking Criteria
Finding Data Patterns

Requirements
Everyone who deals with the data on day-to-day basis
If you want to learn basics of KNIME
Anyone into Analysis, Machine Learning and AI

Description
Data pre-processing and coding is a prerequisite to move ahead in Data Science. KNIME eliminates those hurdles for you.
This course is for anyone who is familiar with tools such as Excel or Power Query (ETL). This course will help you get a head start in Data Science without any coding.
We'll learn some practical applications of data blending and manipulation and apply our knowledge in the real world and solve business queries immediately. Following are the topics that we'll cover in this course:
JOIN Types - Left Outer, Right Outer, Full Outer, Inner, Left Anti, and Right Anti
Splitting one column into two
Change the name of the column headers
Merge columns to create a new column
Find out list of Male/Female candidates (Pattern Matching Criteria)
Filter out people whose credit score exceed a certain limit (Range Checking Criteria)
Pivoting with multiple columns and complex aggregation methods
Finding data patterns
By the end of the course, we will feel comfortable working with the KNIME Analytics Platform.

Who this course is for:
If you use a lot of Excel and want to take your skills to the next level
Anyone who struggle to write VBA Macros code for automation
Anyone who is completely new to KNIME
Users who are looking for quick shortcuts, tips & tricks of KNIME

Download link:
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