KNIME for beginners "A Practical Insight"

KNIME for beginners "A Practical Insight", available at Free, has an average rating of 4.5, with 14 lectures, 4 quizzes, based on 50 reviews, and has 1062 subscribers.

You will learn about To create visual workflows for data analytics with an intuitive, drag and drop style graphical interface To model each step of your data analysis, control the flow of data, and ensure work is always current. To provide analytical reports to the top management for strategic planning and implementation To know the art of big data analysis and to practically make use of the available data in a useful manner This course is ideal for individuals who are This course on "KNIME for beginners: A Practical Insight" is designed for those who are interested in basic big data analysis and passionate about data science. The course contains video lectures and interesting quiz related to KNIME basics. The course will cover topics on: Introduction to KNIME, Establishing workflow and project, File reader, Row and column filter, Aggregation and concatenation, Group by option and usage of multiple nodes in a single workflow. The beginners will be able to explore KNIME and know the different features of this software by the end of this course. Hence, this course is only for beginners who would like to jumpstart with KNIME. It is particularly useful for This course on "KNIME for beginners: A Practical Insight" is designed for those who are interested in basic big data analysis and passionate about data science. The course contains video lectures and interesting quiz related to KNIME basics. The course will cover topics on: Introduction to KNIME, Establishing workflow and project, File reader, Row and column filter, Aggregation and concatenation, Group by option and usage of multiple nodes in a single workflow. The beginners will be able to explore KNIME and know the different features of this software by the end of this course. Hence, this course is only for beginners who would like to jumpstart with KNIME.

Enroll now: KNIME for beginners "A Practical Insight"

Summary

Title: KNIME for beginners "A Practical Insight"

Price: Free

Average Rating: 4.5

Number of Lectures: 14

Number of Quizzes: 4

Number of Published Lectures: 14

Number of Published Quizzes: 4

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

To create visual workflows for data analytics with an intuitive, drag and drop style graphical interface
To model each step of your data analysis, control the flow of data, and ensure work is always current.
To provide analytical reports to the top management for strategic planning and implementation
To know the art of big data analysis and to practically make use of the available data in a useful manner

Who Should Attend

This course on "KNIME for beginners: A Practical Insight" is designed for those who are interested in basic big data analysis and passionate about data science. The course contains video lectures and interesting quiz related to KNIME basics. The course will cover topics on: Introduction to KNIME, Establishing workflow and project, File reader, Row and column filter, Aggregation and concatenation, Group by option and usage of multiple nodes in a single workflow. The beginners will be able to explore KNIME and know the different features of this software by the end of this course. Hence, this course is only for beginners who would like to jumpstart with KNIME.

Target Audiences

This course on "KNIME for beginners: A Practical Insight" is designed for those who are interested in basic big data analysis and passionate about data science. The course contains video lectures and interesting quiz related to KNIME basics. The course will cover topics on: Introduction to KNIME, Establishing workflow and project, File reader, Row and column filter, Aggregation and concatenation, Group by option and usage of multiple nodes in a single workflow. The beginners will be able to explore KNIME and know the different features of this software by the end of this course. Hence, this course is only for beginners who would like to jumpstart with KNIME.

KNIME helps individuals and organizations make sense of data. KNIME Software bridges the worlds of dashboards and advanced analytics. Welcome to the course on KNIME for beginners “A practical Insight” This course will help the users explore the KNIME software, understand its different features, help in performing small to complicated analysis. In addition, the course will give a hands on practical experience to explore different dataset’s. This course will guide the users to different repositories and also provide an opportunity to critically think, provide practical solutions for organizational growth and development. KNIME is most suitable for different organizations and departments where the available data can be converted into meaningful insights for growth and sustainability. KNIME allows users to visually create data flows (or pipelines), selectively execute some or all analysis steps, and later inspect the results, models, using interactive widgets and views. The KNIME platform is an open platform where there are no barriers during usage and provides the visualizes and insights to execute their operations efficiently. It helps in taking the decision wisely and working efficiently. The platform blends the data from any source and shapes them according to the usage of them in the operations. It also leverages machine learning and AI. It also assists in sharing insights and discovering the facts and information related to business activities. An individual can easily access and deploy the KNIME analytics by using the nodes and taking the courses at a different level. With the advanced machine learning algorithms, one can take the knowledge for operations. KNIME provides a lot of freedom for the users to play with the data which is available with them. Individuals have to first learn the basics in KNIME and then start exploring by themselves.

Course Curriculum

Chapter 1: Introduction to data science, KNIME and its features and functions

Lecture 1: Introduction to data science, KNIME and its various features and functions

Chapter 2: Introduction to KNIME

Lecture 1: Starting with KNIME (Download, Install and explore)

Chapter 3: Recollecting Knowledge

Chapter 4: Exploring KNIME Website and all the facilities which can be used

Lecture 1: Steps to establish a project in KNIME

Chapter 5: Creating a new KNIME project

Lecture 1: Jumpstart your analysis by creating a workflow for your project

Chapter 6: Exploring the workflow coach in KNIME

Lecture 1: Uses of a workflow coach in KNIME

Lecture 2: File reader node in KNIME

Chapter 7: Exploring the file reader Node in KNIME

Chapter 8: Column rename in KNIME

Lecture 1: Column rename in KNIME

Chapter 9: Integer and String in KNIME

Lecture 1: Integer and string in KNIME

Chapter 10: Missing values in KNIME

Lecture 1: Missing values in KNIME and how to solve it

Chapter 11: Group-by and Row filter NODE in KNIME

Lecture 1: Group-by and Row filter NODE in KNIME

Chapter 12: Concatenation in KNIME

Lecture 1: Concatenation in KNIME

Chapter 13: Aggregation using KNIME

Lecture 1: Aggregation in KNIME

Chapter 14: Multiple Nodes in KNIME (Basic Hands on training)

Lecture 1: Multiple nodes in KNIME

Chapter 15: Links to Data repository

Lecture 1: Data repository

Instructors

Anand Shankar Raja M
Instructor for the course KNIME for beginners

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 9 votes
4 stars: 15 votes
5 stars: 25 votes

Frequently Asked Questions

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