Introduction to Data Literacy
Introduction to Data Literacy (ST-DL101) is an 8-week foundation course designed to help beginners understand, work with, interpret, and communicate data confidently.
Transparent, one-time enrollment fee covering all curriculum modules and mentor reviews.
Learning Support:
Instructor guidance
Cohort spots are limited. Instant LMS access upon enrollment confirmation.
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What You Will Gain
Specific, demonstrable competencies and practical portfolio assets built throughout this track.
Curriculum & Module Breakdown
A week-by-week roadmap of theoretical principles, live labs, and capstone submissions.
DATA & DATA LITERACY
Understanding Data
Topics Covered Includes: What is data? Data vs information vs insight Why organizations use data Data in everyday life Sources of data Primary vs secondary data
Types of Data
Module 2: Types of Data Qualitative vs quantitative Discrete vs continuous Categorical vs numerical Structured vs unstructured Time-series data Cross-sectional data
The Data Lifecycle
Becoming Data Literate
EXCEL FUNDAMENTALS
At the end of this Week student should be able to: 1. Enter and organize data correctly. 2. Use fundamental formulas and functions. 3. Clean basic datasets. 4. Apply sorting, filtering, validation, and conditional formatting.
Excel Enviroment
Topics Includes: Workbook and worksheet Rows and columns Cells and ranges Data entry Basic formatting Number formats Relative references
Essential Functions
DATA PREPARATION AND QUALITY
Understanding Messy Data
Cleaning Data in Excel
Data Cleaning Functions
Data Validation
Everything You Need to Know
Clear details on cohort schedules, mentor support, tuition clarity, and project certification.