Data Analysis
This course introduces learners to the fundamentals of data analysis, from understanding data types and sources to exploring patterns, correlations, and key metrics.
Data Analysis is the practice of collecting, cleaning, and interpreting data to extract meaningful insights that support decision-making. It involves using tools and techniques to organize large datasets, identify trends, and visualize results in a way that is understandable and actionable. This course introduces learners to the fundamentals of data analysis, from understanding data types and sources to exploring patterns, correlations, and key metrics.
1. Introduction to Data Analysis
2. Data Collection & Cleaning
3. Excel & Google Sheets Basics
10. Reporting & Presentation
11. Career Guidance & Job Opportunities
12. Final Project
This course is designed to provide learners with a clear understanding of how data analysis works in today’s data-driven world. Participants will explore the sources and types of data, core analytical techniques, and the role of data in shaping business and research decisions. By the end of this module, learners will understand the core concepts that power modern analytics, from data collection and cleaning to visualization and interpretation.
In addition, the course aims to equip learners with the foundational skills needed to work confidently with datasets and analytical tools. Students will learn how different techniques and software work together to uncover insights, identify trends, and support decision-making
Target Students
Beginners who want to start a career in data analysis.
Professionals or students looking to enhance decision-making with data.
Entrepreneurs and small business owners who want to leverage insights from their business data.
Anyone interested in understanding how data can guide strategies and solutions.
Requirements
Basic computer and internet skills.
Willingness to learn and work with data sets
No prior data analysis experience required.
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