About the Course:

In today's data-driven world, data analysis is a critical skill for making informed decisions. This course is designed to equip participants with the knowledge and tools required to start a career as a data analyst. Through a combination of theory and practical exercises, you'll learn how to collect, clean, and explore data, visualize insights, and draw meaningful conclusions.

Course Objective:

• Introduce participants to the role of a data analyst and the data analysis process.
• Teach data collection and data cleaning techniques.
• Explore data using descriptive statistics, distributions, and correlations.
• Master data visualization tools like Matplotlib and Seaborn.
• Familiarize participants with data analysis methods, including hypothesis testing, regression, and classification.
• Enable participants to draw conclusions and make data-driven recommendations.

Who is the Target Audience?

• Introduce participants to the role of a data analyst and the data analysis process.
• Teach data collection and data cleaning techniques.
• Explore data using descriptive statistics, distributions, and correlations.
• Master data visualization tools like Matplotlib and Seaborn.
• Familiarize participants with data analysis methods, including hypothesis testing, regression, and classification.
• Enable participants to draw conclusions and make data-driven recommendations.

Basic Knowledge:

• No prior experience in data analysis is required, but having a basic understanding of mathematics and statistics will be beneficial. Participants should have a working knowledge of computer operations and be comfortable using a computer.