Training 2: Data Skills for Non-Analysts – From Numbers to Insights with Descriptive and Predictive Analytics
Subtitle: Build Confidence in Reading, Analyzing, and Interpreting Data
I. COURSE OVERVIEW
This foundational course empowers professionals without a technical background to use data effectively in everyday work. Participants will gain data literacy, learn to perform basic analytics, and interpret both descriptive and predictive results using Excel and Power BI.
II. COURSE OBJECTIVES
Participants will:
Understand core concepts in descriptive and predictive analytics
Identify types of data, variables, and statistical techniques
Clean, organize, and structure datasets using Excel
Perform basic analysis (averages, comparisons, correlations)
Run simple regressions and spot patterns
Translate numbers into actionable business insights
III. TARGET PARTICIPANTS
HR, Finance, Sales, and Operations officers
Department managers and team supervisors
M&E staff, analysts, and coordinators
Professionals who need to work with data but are not analysts
IV. WHY ATTEND
This course is perfect if you’ve ever said:
“I don’t do numbers” or “I’m not an analyst.”
But in today’s workplace, data is everywhere. Learn to:
Make informed decisions with confidence
Ask the right questions about data
Avoid common misinterpretations
Communicate insights clearly
V. COURSE OUTLINE
Topic
Registration and Pre-Test
Module 1: Understanding Data
Module 2: Excel for Data Cleaning
Module 3: Descriptive Analytics
Module 4: Predictive Analytics Introduction
Module 5: Regression in Practice
Module 6: Drivers of Performance
Module 7: Application to Work Context
Synthesis and Commitments
Key Activities
Self-assessment
Data types, sampling, measurement
Handling missing data, formatting
Mean, median, comparisons across categories
Correlation and simple regression
Excel/Power BI walkthrough
KPI analysis exercises
Real/simulated dataset workshop
Post-test and personal data action plan
VI. VALUE-ADDED FEATURES
Sample datasets for practice
Step-by-step Excel and Power BI guide
Pre-built analysis templates
Cheat sheets for statistical interpretation