Basic Data Analysis Course Highlights
Join our Basic Data Analysis Training program for an exciting journey into data analysis. This dynamic Data Analysis Course is designed for everyone, from absolute beginners to seasoned professionals. Enhancing your skills in data analysis can be greatly advantageous with the use of this tool.
Data analytics brings many benefits to your business. It helps improve operational efficiency, business decisions, fraud detection, financial optimisation, and more. This data analytics beginners course will give you a valuable introduction to data analysis, the duties of a data analyst and the different data analysis tools to analyse data.
This data analysis beginner course will improve your knowledge of data analyst basics. It will develop your skills to process, analyse and visualise data. Our basic data analytics course will teach you about the agenda and principles of process management. You’ll understand what is the voice of the process and how to analyse the VOP to ensure the safe and efficient operation of the process. Then, you’ll learn about the voice of customer analytics and examine the steps of a successful VoC analysis.
In the initial stages, we focus on the fundamental principles of process management. Having a strong knowledge base is crucial for effectively managing complex data analysis tasks. Following this, we’ll explore an intriguing concept known as ‘The Voice of the Process.’ Our mission is to empower you to enhance your procedures by pinpointing crucial areas for growth.
Furthermore, the Basic Data Analysis Training course for beginners online will introduce you to popular data analysis tools. It will outline the use of the Pareto chart, Histogram and Run chart in data analysis. You’ll also learn about the control chart and its construction and interpretation. Again, you’ll understand the strategies to deal with variation and learn how to analyse data to drive improvement. We will also discuss the performance measurement method to ensure fairness and consistency among assessments and plan operations.
Learning outcome
- Gain a comprehensive understanding of data analysis principles.
- Learn to use essential tools for data analysis.
- Understand and interpret variation in data.
- Develop skills to present performance data effectively.
- Learn strategies to deal with variation.
Course media
Why should I take this course?
- Improve your career prospects in the field of data science.
- Develop skills to understand and interpret complex data.
- Receive a certificate to validate your learning.
- Access a comprehensive and approach to data analysis.
- Expand your knowledge in key areas such as nutrition, pain management, and fluid balance, enabling you to provide holistic care to patients.
Basic Data Analysis Training
Career Path
- Data Analyst
- Business Analyst
- Data Scientist
- Process Manager
- Research Analyst
Basic Data Analysis Training Requirements
- Basic knowledge of statistical concepts.
- Willingness to learn and apply data analysis techniques.
- Internet connection for online learning.
Course Curriculum
Course Curriculum
| Basic Data Analysis Training | |||
| Module 01: Introduction | 00:02:00 | ||
| Module 02: Agenda and Principles of Process Management | 00:06:00 | ||
| Module 03: The Voice of the Process | 00:05:00 | ||
| Module 04: Working as One Team for Improvement | 00:04:00 | ||
| Module 05: Exercise: The Voice of the Customer | 00:03:00 | ||
| Module 06: Tools for Data Analysis | 00:07:00 | ||
| Module 07: The Pareto Chart | 00:03:00 | ||
| Module 08: The Histogram | 00:03:00 | ||
| Module 09: The Run Chart | 00:04:00 | ||
| Module 10: Exercise: Presenting Performance Data | 00:05:00 | ||
| Module 11: Understanding Variation | 00:06:00 | ||
| Module 12: The Control Chart | 00:06:00 | ||
| Module 13: Control Chart Example | 00:04:00 | ||
| Module 14: Control Chart Special Cases | 00:06:00 | ||
| Module 15: Interpreting the Control Chart | 00:10:00 | ||
| Module 16: Control Chart Exercise | 00:07:00 | ||
| Module 17: Strategies to Deal with Variation | 00:06:00 | ||
| Module 18: Using Data to Drive Improvement | 00:14:00 | ||
| Module 19: A Structure for Performance Measurement | 00:06:00 | ||
| Module 20: Data Analysis Exercise | 00:06:00 | ||
| Module 21: Course Project | 00:03:00 | ||
| Module 22: Test your Understanding | 00:17:00 | ||
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1 Year Access 
129 Students -
2 hours, 13 minutes