Learn It The Right Way With NSDABIE
At the Nigerian Society of Data Analysts and Business Intelligence Experts (NSDABIE), we are committed to equipping individuals and organizations with cutting-edge digital skills that fuel decision-making, innovation, and national development.
SPECIALIZATIONS OFFERED
Our training programs are focused on two high-demand and high-impact areas:
Data Analytics Masterclass with Excel
About the Course
This course is designed to equip participants with the skills to unlock data insights using Excel. Participants will learn how to collect, analyze, and visualize data using Excel’s powerful features.
What to Learn
- Data cleaning and preparation
- Data visualization with charts and dashboards
- Advanced Excel formulas and functions
- PivotTables and data modeling
- Automation with macros
Requirements: Basic knowledge of Excel, computer literacy, and analytical mindset.
Schedule: Two Months (One Month Training & One Month Internship)
Duration: Fridays (4-6pm); Saturdays (3-6pm)
Commencement Date: Friday January 30th, 2026
Fee: #50,000
Data Analytics Masterclass with PowerBI
About the Course
This course teaches participants how to turn data into insights using PowerBI. Participants will learn how to connect to data sources, create interactive dashboards, and share insights with stakeholders.
What to Learn:
- Connecting to data sources
- Data modeling and transformation
- Creating interactive dashboards
- Data visualization best practices
- Sharing and collaborating on reports
Requirements: Basic knowledge of data analysis, familiarity with data concepts, and computer literacy.
Schedule: Two Months (One Month Training & One Month Internship)
Duration: Fridays (4-6pm); Saturdays ( 3-6pm)
Commencement Date: Friday January 30th, 2026
Fee: #50,000
Data Analytics Masterclass with Tableau
About the Course
This course focuses on data storytelling with Tableau. Participants will learn how to create interactive dashboards and share insights with stakeholders.
What to Learn:
- Connecting to data sources
- Data visualization and dashboard design
- Advanced calculations and data modeling
- Storytelling with data
- Best practices for deployment
Requirements: Basic knowledge of data analysis, familiarity with data concepts, and computer literacy.
Schedule: Two Months (One Month Training & One Month Internship)
Duration: Fridays (4-6pm); Saturdays (3-6pm)
Commencement Date: Friday January 30th, 2026
Fee: #50,000
Data Analytics Masterclass with Python
About the Course
This course introduces participants to advanced data analytics using Python. Participants will learn how to work with data, perform statistical analysis, and create data visualizations.
What to Learn
- Introduction to Python and libraries (Pandas, NumPy, Matplotlib)
- Data manipulation and analysis
- Statistical modeling and machine learning
- Data visualization
- Best practices for coding and deployment
Requirements: Basic knowledge of programming concepts, familiarity with Python or other programming languages, and analytical mindset.
Schedule: Two Months (One Month Training & One Month Internship)
Duration: Fridays (4-6pm); Saturdays (3-6pm)
Commencement Date: Friday January 30th, 2026
Fee: #50,000
Data Analytics Masterclass with SQL
About the Course
This course teaches participants how to query and analyze data using SQL. Participants will learn how to extract insights from relational databases.
What to Learn
- Introduction to SQL and database concepts
- Querying data with SELECT statements
- Data manipulation and aggregation
- Joining and subquerying data
- Optimizing queries and performance
Requirements: Basic knowledge of data concepts, analytical mindset, and computer literacy.
Schedule: Two Months (One Month Training & One Month Internship)
Duration: Fridays (4-6pm); Saturdays ( 3-6pm)
Commencement Date: Friday January 30th, 2026
Fee: #50,000
AI for Data Analytics Masterclass
About the Course
This masterclass is designed to equip participants with practical skills in applying Artificial Intelligence to modern data analytics tasks. Participants will learn how AI techniques enhance data-driven decision-making, automate analysis, and uncover deeper insights from complex datasets.
What to Learn
- Fundamentals of Artificial Intelligence for data analytics
- Machine learning concepts for predictive analytics
- AI-powered data preprocessing and feature engineering
- Applying AI models to real-world datasets
- Interpreting and explaining AI-driven insights for decision-making
- AI tools for Data Analytics
Requirements
Basic understanding of data analysis concepts, familiarity with spreadsheets or analytics tools, computer literacy, and a strong interest in data-driven problem solving.
Schedule: Two Months (One Month Training & One Month Internship)
Duration: Fridays (4-6pm); Saturdays ( 3-6pm)
Commencement Date: Friday January 30th, 2026
Fee: #50,000
Why Our Trainings Matter
Our courses are practical, beginner-friendly, and industry-aligned, delivered through:
- Live webinars and workshops
- Hands-on projects with real datasets
- Expert-led mentorship and peer learning
At NSDABIE, we don’t just teach tools, we help you solve real problems and grow your career.
