Data Analytics, AI and Business Intelligence Domain
April 10, 2026 2026-04-27 18:20Data Analytics, AI and Business Intelligence Domain
Data Analytics, AI and Business Intelligence Domain
Build practical skills in data analysis workflows, statistical reasoning, visualization, machine learning fundamentals, feature engineering, data platforms, and applied project work for entry-level data support roles and further study in advanced data pathways.
- Credential: Certificate
- Clock Hours: 90
- Build applied preparation in statistics, SQL, Python, visualization, and AI concepts.
- Progress through a structured 7-module certificate with guided practical exercises.
- Prepare for Data Analyst, Data Engineer, and Business Intelligence pathway progression.
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 certificate introduces students to modern data analysis workflows and prepares them for entry-level data support functions while creating a direct pathway into advanced specialization programs.
Build your data analysis base
Develop foundational preparation in statistics, data cleaning, SQL-based analysis, Python workflows, visualization, machine learning concepts, and business intelligence practices used in data-driven environments.
What youβll be able to do
Analyze datasets, apply foundational statistical methods, create visual reports, use introductory machine learning techniques, and perform structured data preparation in modern data environments.
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 Information Technology Fundamentals is recommended before entering this domain certificate.
Program Structure
The program is organized as a sequential clock-hour certificate consisting of seven required modules. Training begins with statistics, data preparation, and SQL-based analysis, then advances into Python analysis, visualization, machine learning and AI concepts, and business intelligence decision-support practices.
DAB-201 β Data Analysis Foundations and Statistics
15 hrs- Descriptive statistics
- Probability
- Distributions
- Data interpretation
- Summary measures
DAB-202 β Data Cleaning and Preparation
15 hrs- Data wrangling
- Missing values
- Transformation
- Normalization
- Data quality practices
DAB-203 β SQL for Data Analysis
15 hrs- Joins
- Aggregations
- Filters
- Subqueries
- Analytical queries and database retrieval
DAB-204 β Python for Data Analysis
15 hrs- Pandas
- NumPy
- Exploratory analysis
- Data manipulation
- Notebook workflows
DAB-205 β Data Visualization and Reporting
10 hrs- Charts
- Dashboards
- Reporting logic
- Business storytelling
- Data presentation
DAB-206 β Introduction to Machine Learning and AI Concepts
10 hrs- Supervised and unsupervised learning
- Model types
- AI use cases
- Model basics
DAB-207 β Business Intelligence and Decision Support
10 hrs- KPIs
- BI workflows
- Decision support concepts
- Reporting tools
- Business interpretation
See the full career pathway structure
Explore all available program routes, specializations, and next-step options.
βCertificate tuition & fees
$5,000
Data Analytics, AI and Business Intelligence Domain Β· 90 clock hours
- Sequential clock-hour certificate consisting of seven required modules
- Instructor-supported lectures, demonstrations, guided practice, lab assignments, and applied exercises
- Designed for entry-level data support preparation and progression into advanced data pathways