KNIME Crash Course
Learn Data analysis and Manipulation using the most popular, open-source, and no coding platform.
Updated on Apr, 2024
Language - English
Lectures -28
Resources -3
Duration -2 hours
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Course Description
Learn Data analysis and Manipulation using the most popular, open-source, and no coding platform. Reinforce all the functions from basic I/O to data manipulations, transformations, and data mining into a single workflow.
Introduction
KNIME is a software used for creating Data Science applications and services. It is a GUI-based workflow platform. It offers an easy-to-use graphical interface that lets you drag-and-drop several pre-built Data Processing/Machine Learning modules without writing codes.
KNIME not only helps you to understand data and design data science workflows but also makes reusable components accessible to everyone. It enables users to create data flows, execute selected analysis steps, review the results, models and interactivity views.
What is in Course?
KNIME course provides a Project-Based learning approach where you can learn and implement important concepts, techniques, and activities in KNIME using the Sales data.
You will be moving from simple to complex data manipulation techniques and do end-to-end analysis of data to solve business queries and much more. This is going to help you simulate everything that you’ll learn in the course of these sessions.
Benefit of Course
- KNIME is a free, open-source data analytics, reporting, and integration platform
- KNIME is a No coding, low coding platform
- Knime will help you implement end to end projects from data to the knowledge level
- Project-based learning activity that shifts boring, one-way interactivity, and instructor centered environment to student centered activity
- The modules are prepared understanding the needs and requirements of the learners
Pre-Requisite
- Everyone who deals with the data on day-to-day basis
- If you want to pull your data from either your own premise or cloud server databases
- Anyone into Data Management
- Anyone into analysis, machine learning and AI
- If you use a lot of Excel and want to take your skills to the next level
- If you want to learn basics of KNIME
Jobs you will get prepared
- Cloud Engineer
- Data Analyst
- Data Scientist
- Software Engineer
- Analytics Engineer
- Technical Support Engineer
- Big Data Consultant
Curriculum
Check out the detailed breakdown of what’s inside the course
ALL
27 Lectures
-
About The Course
05:05
05:05
-
Introduction to KNIME
06:16
06:16
-
Reading in file using Excel
08:37
08:37
-
Using File Reader & Use Of Joiner Node
06:35
06:35
-
Use Case - Buzz Segment
-
KNIME Cheatsheet v1.0
-
USE CASE-ALL
-
Appending Sales Files using Concatenate Node
08:20
08:20
-
Adding in New Data to Existing Workflow
07:27
07:27
-
Modularization of Nodes into Metanodes
04:50
04:50
-
Database Connectors, Knime Extensions, and Statistics Node
07:06
07:06
-
Date Extraction Node and GroupBy Node
05:12
05:12
-
Using Row and Column Filter
04:08
04:08
-
Using Math Formula and Writer Nodes
01:41
01:41
-
Configuring and Applying Math Formula and Writer Nodes
04:48
04:48
-
Recency, Frequency, and Monetary) RFM Segmentation
03:29
03:29
-
Creation of RFM Segmentation
06:19
06:19
-
Using Auto Binner to Bucket RFM Segmentation
10:28
10:28
-
A Quick Recap
02:55
02:55
-
Using Table Creator and Cell Replacer Nodes - Part 1
02:25
02:25
-
Using Table Creator and Cell Replacer Nodes - Part 2
06:11
06:11
-
Cleaning Up a Workspace
04:43
04:43
-
Pie and Bar Charts in KNIME
02:50
02:50
-
Creating Pie and Bar Charts
07:27
07:27
-
Pivot Charts
02:11
02:11
-
Importing and Exporting Workflows in KNIME
03:45
03:45
-
Conclusion
10:36
10:36
Instructor Details
Yoda Learning
Data Analyst |MS Office Expert & PMP | Instructor/ProgrammerI am a Chartered Accountant from India. I have worked with KPMG (Audit) and J.P. Morgan (Debt Capital Markets) and Futures First (Proprietary Trading Desk) before venturing into Corporate Training (first part-time and then full-time)
After a decade of corporate training and winning multiple accolades in Office Productivity and Financial Modelling, in 2015, I created a mission to help 1 million people by 2020. I started creating high-quality video courses and helped people online to become faster-smarter-better at work. A lot of my students at PwC, EY, Deloitte, Amazon, Uber, Tata Group, Rio Tinto use these video courses to excel at work.
If I’m going to succeed in my mission of helping 1 million professional in the next five years, I NEED YOU to succeed… I can’t reach my goal without helping you reach yours!
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