atomcamp

CURRICULUM

Month 1:

Learning Outcomes

1. Become familiar with and demonstrate clarity in understanding of basic data and statistical concepts.
2. Enhance understanding of mathematical foundations and operations for data science.
3. Become proficient in data cleaning, data processing, and data management with Microsoft Excel. 
4. Be able to carry out basic data analysis in Excel and work with Pivot Tables.

Data Literacy
• Data Types
• Data Life Cycle

Mathematical Foundations
• Fundamental Statistics
• Probability
• Descriptive Statistics

Excel
• Data Cleaning
• Data Preparation

Excel Advanced
• Pivot Tables
• Basic Analysis