Reinforce all the functions from basic I/O to data manipulations, transformations, and data mining into a single workflow.

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 flow, execute selected analysis steps, review the results, models, and interactivity views.

What will you learn in this 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 an 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.

Benefits of this 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 for understanding the needs and requirements of the learners

Who should take this course?

• Everyone who deals with the data on a day-to-day basis
• Anyone who want to pull their data from either their own premise or cloud server databases
• Anyone who uses a lot of Excel and want to take their  skills to the next level
• Anyone who want to learn the basics of KNIME
• Anyone into Data Management
• Anyone into the analysis, machine learning, and AI
• Anyone who is preparing for any of the following jobs should take this course:
  • Cloud Engineer
  • Data Analyst
  • Data Scientist
  • Software Engineer
  • Analytics Engineer
  • Technical Support Engineer
  • Big Data Consultant