
Meetings
Requirements
- Absolute beginners, Basic users of Phone and computers
Description
Total Contact period: 54 hours
Weekly contact: 4.5 hours of Lecture time
Core Concepts:
Data Literacy: Understanding data types (qualitative/descriptive vs. quantitative/numerical).
Basic Statistics: Learning how to find the mean (average), median (middle value), mode (most frequent value), and range (the spread).
Asking the Right Questions: Learning why you are looking at data (e.g., "Why did our website traffic drop on Tuesday?").
The Primary Tool: Microsoft Excel or Google Sheets
How to input data, sort it, and filter it.
Basic formulas: SUM, AVERAGE, COUNT, and IF statements.
Creating basic charts (bar charts, line graphs, and pie charts) to see patterns.
Month 1: Spreadsheet Mastery (The Foundation)
- Week 1: Core Concepts, Mindset, and Tool Onboarding
- Week 2: Excel/Sheets Data Entry, Formatting, and Text Functions (LEFT, RIGHT, CONCATENATE, and TRIM to clean messy data).
- Week 3: Basic Logic and Aggregations (SUM, AVERAGE, COUNT, COUNTA, and logical IF statements).
- Week 4: Advanced sorting, filtering, and conditional formatting to spot trends instantly.
Month 2: Relational Databases & Data Extraction (SQL)
- Week 5: Introduction to Databases. Understanding tables, rows, columns, and primary keys.
- Week 6: Writing basic SQL queries. Focus on SELECT, FROM, and WHERE to filter data.
- Week 7: Aggregating data in SQL using GROUP BY, HAVING, and functions like COUNT(), SUM(), and AVG().
- Week 8: Combining tables. Master INNER JOIN and LEFT JOIN (how to pull related data from different places).
Month 3: Business Intelligence & Data Storytelling
- Week 9: Spreadsheet Power Tools. Master Pivot Tables and XLOOKUP / VLOOKUP.
- Week 10: Introduction to Data Visualization. Learn when to use a bar chart vs. line chart vs. scatter plot.
- Week 11: Building your first dashboard using a free business intelligence tool like Tableau Public or Google Looker Studio.
- Week 12: Capstone Project & Portfolio Building. Tie spreadsheets, SQL, and visuals together.
Frequently Asked Question
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