Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
For first time users. Essential ETL tools.
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.
Course Content
- 8 section(s)
- 38 lecture(s)
- Section 1 KNIME Overview
- Section 2 Input & Output Nodes (Read & Write)
- Section 3 Data Blending
- Section 4 Data Manipulation - Part 1 (Filter & Splitter)
- Section 5 Data Manipulation - Part 2 (Transform)
- Section 6 Data Manipulation - Part 3 (Split & Join Text)
- Section 7 Data Manipulation - Part 4 (Convert & Replace)
- Section 8 Bonus
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
Skills covered in this course
Reviews
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JJayanta Roy
Very Good .
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GGuy Amos
Narrator is fantastic, patient and clear. The version of Knime, however, is old. There's also the Splitter 01 (section 4, video 20) Workflow missing in the examples pack
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GGuadalupe Hernández Rosas
Muy bien explicado solo que va un poquito rapido. Si lo vas pausando es suficiente para entender y anotar.
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OOscar Valverde Valverde
Good