Overview
The Diploma in Data Analysis Fundamentals is crafted to introduce learners to the core principles of data analysis, equipping them with essential skills to interpret and manipulate data for meaningful insights. In this course, students will gain foundational knowledge of data structures, data cleaning, statistical analysis, and visualization techniques, using popular tools such as Excel, Python, and SQL. Designed for individuals who are new to data analysis, this course covers every step from data collection and cleaning to applying statistical methods and generating visual reports. Learners will practice real-world data sets to build their confidence in analyzing and making data-driven decisions. By the end, students will be well-prepared to handle entry-level data analysis tasks and begin their journey into this high-demand field with a solid foundation.
Learning Outcomes
By the end of this course, you will be able to:
- Understand data collection, cleaning, and preparation.
- Master basic statistical analysis techniques.
- Learn data visualization skills using charts and graphs.
- Gain familiarity with tools like Excel, Python, and SQL.
- Develop the ability to interpret data and draw conclusions.
- Build a foundational understanding of data-driven decision-making.
- Apply data analysis techniques to real-world scenarios.
How will I get my certificate?
You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.
Who is This course for?
This course is ideal for beginners interested in entering the field of data analysis. It suits recent graduates, professionals looking to upskill, or anyone seeking a career shift towards data-driven roles.
Requirements
No prior experience in data analysis is required, though basic computer skills are recommended. Familiarity with Excel or other spreadsheet software is helpful but not mandatory. A willingness to engage with numbers, analyze trends, and explore data sets will be beneficial for this course.
Career Path
- Junior Data Analyst
- Data Support Specialist
- Business Intelligence Assistant
- Reporting Analyst
Course Curriculum
- 1 section
- 22 lectures
- 2 hours, 13 minutes total length
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Module 01: Introduction 00:02:00 -
Module 02: Agenda and Principles of Process Management 00:06:00
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Module 03: The Voice of the Process 00:05:00
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Module 04: Working as One Team for Improvement 00:04:00
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Module 05: Exercise: The Voice of the Customer 00:03:00
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Module 06: Tools for Data Analysis 00:07:00
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Module 07: The Pareto Chart 00:03:00
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Module 08: The Histogram 00:03:00
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Module 09: The Run Chart 00:04:00
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Module 10: Exercise: Presenting Performance Data 00:05:00
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Module 11: Understanding Variation 00:06:00
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Module 12: The Control Chart 00:06:00
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Module 13: Control Chart Example 00:04:00
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Module 14: Control Chart Special Cases 00:06:00
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Module 15: Interpreting the Control Chart 00:10:00
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Module 16: Control Chart Exercise 00:07:00
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Module 17: Strategies to Deal with Variation 00:06:00
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Module 18: Using Data to Drive Improvement 00:14:00
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Module 19: A Structure for Performance Measurement 00:06:00
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Module 20: Data Analysis Exercise 00:06:00
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Module 21: Course Project 00:03:00
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Module 22: Test your Understanding 00:17:00
Frequently Bought Together
4.7 course rating - 18 reviews
£29
£425
This course includes:
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Duration:2 hours, 13 minutes
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Access:Lifetime access
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Units:22
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Assignments:No
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Quizzes:No
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Certificate:Yes
