Last chance: 50% off unlimited learning
Sale ends in
Course Description
Financial Analysis in KNIME
This case study dives deep into the practical use of KNIME for financial analysis, utilizing real-world purchase data to demonstrate this tool's power. Participants will start with a typical business case that requires detailed financial scrutiny. The course meticulously guides students through the initial steps of importing Excel, CSV, and SQL data into KNIME, highlighting how to effectively clean and preprocess the data for analysis. This foundational knowledge is crucial for leveraging KNIME for business intelligence and data analysis projects.
Creating Effective Workflows in KNIME
As the case study progresses, participants will learn to construct and refine workflows that automate the analysis process, focusing on transforming raw data into actionable insights. Learners will learn how to aggregate data to suit specific analytical needs and how to utilize KNIME's vast array of nodes to perform complex calculations.
Visualization and Data Export Techniques
The final part concentrates on visualizing and exporting financial data, which are critical skills in any data-driven decision-making process. Learners will explore how to create compelling charts and tables. This not only helps in understanding the data better but also in presenting it effectively to stakeholders. Additionally, the course covers various methods of exporting analyzed data, ensuring that students are well-equipped to share their findings in formats that best suit professional needs.
Prerequisites
Curriculum
Course outline
1
Answering a business case with KNIME
In this first chapter, you'll be introduced to the business case you need to answer and you will plan your KNIME workflow. You will then start building your workflow, beginning with importing the data.
2
Manipulating the data into shape
Chapter 2 is where you'll be applying your data cleaning and transformation skills to the London Fire Brigade data. You'll be getting it clean, useful and consistent to make sure that it is suitable for answering the business case. You'll also be practicing the use of metanodes to make the workflow easy to use.
3
Bringing it all together
Chapter 3 gives you the opportunity to practice your KNIME merging and aggregation skills to the London Fire Brigade data. You will extract the results that answer the business case. You will be practicing grouping and pivoting to achieve the desired results.
4
Seeing the results
Our final chapter practices KNIME data visualization and exporting. You will be creating useful charts and other visualizations to explore the data and sending the data to spreadsheets and databases. The business case will be answered and your first financial analysis project with KNIME will be complete.
Case Study: Financial Analysis in KNIME
Course
Complete
