Data Analyst
April 10, 2026 2026-04-27 18:20Data Analyst
Data Analyst
Build specialized analyst skills in business reporting, dashboard development, SQL analytics, applied business statistics, requirements interpretation, and stakeholder-oriented analytical communication for operational and decision-support use.
- Credential: Diploma
- Clock Hours: 90
- Build specialized preparation in business-oriented analysis, dashboarding, advanced SQL, and analytical interpretation.
- Progress through a structured 7-module diploma with applied labs and an end-to-end capstone project.
- Prepare for roles in data analysis, reporting, and business-facing decision-support environments.
ICCT in Numbers
Since 2019, weβve helped students build practical career-ready skills through hands-on, online-led programs.
2019
Operating since
1000+
Student success stories
35 yrs
Instructor experience
97%
Learner satisfaction rate
Why this program & who itβs for
This diploma is designed for students ready to move beyond domain-level preparation and build specialized analyst competencies in reporting, dashboarding, business interpretation, and stakeholder-facing analytical communication.
Build focused analyst competencies
Develop specialized preparation in advanced analysis techniques, analytical frameworks, SQL and data warehousing concepts, dashboard development, applied machine learning for analyst workflows, and AI-supported productivity tools.
What youβll be able to do
Produce business-oriented data analyses, build dashboards, write analytical SQL queries, interpret trends, and communicate findings clearly for operational, reporting, and decision-support use.
Delivered for applied learning
Instruction is delivered through distance/hybrid education in mostly an online format using instructor-supported lectures, demonstrations, guided practice, lab assignments, and applied exercises.
Recommended preparation
Successful completion of Data Analytics, AI and Business Intelligence Domain is recommended before entering this diploma program.
Program Structure
The program is organized as a focused clock-hour diploma consisting of seven required modules. Instruction emphasizes advanced analysis techniques, analytical frameworks, SQL and data warehousing, dashboard development, applied machine learning for analyst workflows, and AI-assisted analysis productivity, culminating in an end-to-end capstone project.
DA-301 β Advanced Data Analysis Techniques
15 hrs- Trend analysis
- Correlation
- Hypothesis testing
- Analytical interpretation
- Business insight development
DA-302 β Data Modeling and Analytical Frameworks
15 hrs- Dimensional concepts
- Analytical structures
- Metric design
- Business analysis frameworks
DA-303 β Advanced SQL and Data Warehousing
15 hrs- Complex queries
- Optimization basics
- Warehouse concepts
- Analytical data structures
DA-304 β Dashboard Development and BI Tools
10 hrs- Interactive dashboards
- Report design
- Data storytelling
- Performance metrics presentation
DA-305 β Applied Machine Learning for Data Analysis
10 hrs- Regression
- Classification
- Clustering
- Model evaluation for analyst workflows
DA-306 β AI for Data Analysis and Automation
10 hrs- AI-assisted analysis
- AutoML concepts
- Prompt-based analytics
- Copilot and analyst productivity tools
DA-307 β Capstone Project: End-to-End Data Analysis
15 hrs- Data intake
- Preparation
- Analysis
- Dashboarding
- Findings presentation
- Documentation
See the full career pathway structure
Explore all available program routes, specializations, and next-step options.
βDiploma tuition & fees
$5,000
Data Analyst Β· 90 clock hours
- Focused clock-hour diploma consisting of seven required modules
- Instructor-supported lectures, demonstrations, guided practice, lab assignments, and applied exercises
- Includes assigned labs and an end-to-end capstone project for specialized analyst preparation