Certified Data Analyst (CDA)
Advance your career and master the skills required to excel in the modern digital economy with our industry-recognized certification program.
Format
Hybrid & Online
Level
Professional
Certification Overview
The Certified Data Analyst (CDA) certification is an applied, entry-to-mid-level program that prepares participants to collect, clean, analyze, visualize, and communicate data to inform decision-making. Whether you're starting your career in analytics or upskilling into a more data-driven role, this program offers the foundational tools and workflows required in today’s business environments.
This program blends real datasets, tools training, guided labs, and mini-projects.
Certificate Description
Target Audience
- Beginners in data or business analytics
- Fresh graduates and entry-level professionals
- Administrators and officers seeking data skills
- Finance, marketing, HR, and operations staff aiming to upskill
- NGO and government staff handling reporting or M&E data
Benefits of Attending
- Master core analytics tools used in the job market
- Build dashboards and analytical reports
- Clean, analyze, and interpret data for decision support
- Create a portfolio of business-focused data projects
- Prepare for data analyst roles across sectors
Certification Objectives
- Understand the role and workflow of a data analyst
- Perform data cleaning, transformation, and exploration
- Use SQL to query databases and summarize information
- Build interactive dashboards using Power BI or Tableau
- Generate insights and communicate them effectively
Certification Assessment
- Module Quizzes: Tool and concept mastery checks
- Mini-Projects: Applied tasks with real-world datasets
- Capstone Project: Analyze, visualize, and report on a dataset of choice
- Presentation: Dashboard walkthrough + insights briefing
- Portfolio: Submission of Excel, SQL queries, Python notebook, and BI dashboard
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Our admissions team is available to answer any questions about the curriculum or enrollment process.
Contact AdmissionsCourse Modules
Module 1: Fundamentals of Data Analysis and Excel for Analytics
- What is data analysis? Key roles and concepts
- Excel functions for analysis: VLOOKUP, IF, INDEX/MATCH, pivot tables
- Cleaning and formatting data in Excel
- Creating reports and charts
- Hands-on Exercise: Analyze a Sales Dataset in Excel
- Case Study: Regional Sales Reporting for FMCG Company
Module 2: SQL for Data Analysts
- Database concepts and structure
- SQL queries: SELECT, WHERE, JOIN, GROUP BY, HAVING
- Aggregation and filtering for business reporting
- Creating views and basic stored procedures
- Hands-on Exercise: Query an Orders and Customers Database
- Case Study: Customer Retention Report for E-Commerce
Module 3: Python for Data Wrangling and Analysis
- Introduction to Python for analytics (pandas, numpy)
- Importing data (CSV, Excel, APIs)
- Cleaning, transforming, and summarizing datasets
- Basic visualizations with matplotlib and seaborn
- Hands-on Exercise: Analyze HR Attrition Data with Pandas
- Case Study: Monthly Employee Retention Analytics
Module 4: Data Visualization and Dashboards
- Principles of effective visual communication
- Power BI/Tableau basics: data import, calculated fields, filters
- Interactive visuals, slicers, and storytelling dashboards
- Sharing and publishing reports
- Hands-on Exercise: Build a Sales Dashboard in Power BI
- Case Study: Budget Monitoring Dashboard for NGO Program
Module 5: Business Insights and Communication
- Framing business questions and KPIs
- Insight generation and recommendation writing
- Presenting findings to technical and non-technical audiences
- Creating executive summaries and visual reports
- Hands-on Exercise: Draft a Business Insights Report
- Case Study: Campaign Performance Analysis for Marketing Team