DATA ANALYSIS
PROFESSIONAL DATA ANALYST TRAINING
The Professional Data Analyst Training is an intensive, practical, and industry-alignedprogram designed to equip participants with the skills required to collect, clean, analyze,interpret, and visualize data for informed decision-making.The program focuses on real-world business data, practical case studies, and hands-onexercises using industry tools such as:
- Microsoft Excel (Advanced & Analytical)
- SQL for Data QueryingPower BI (Business Intelligence & Dashboards)
- Python for Data Analysis
Participants will learn how to transform raw data into actionable insights and buildprofessional dashboards used in corporate environments.
Course Curriculum
1
- What is Data Analytics?
- Types of Data (Structured vs Unstructured)
- The Data Analytics Lifecycle Descriptive, Diagnostic, Predictive & Prescriptive Analytics
- Role of a Data Analyst in Organizations
- Data Ethics & Governance
- Practical: Business problem breakdown exercises
2
- Data cleaning techniques
- Text-to-columns, Flash fill
- Data validation
- Conditional formatting
- Lookup functions (VLOOKUP, HLOOKUP, XLOOKUP)
- INDEX & MATCH
- Logical functions (IF, AND, OR)
- Pivot tables & Pivot charts
- Power Query introduction
- Basic dashboard creation in Excel
- Practical: Sales data analysis HR dataset analysis Financial performance analysis
3
- Introduction to Databases
- Understanding relational databases
- SELECT statements
- Filtering (WHERE clause)
- Sorting and grouping
- Aggregate functions (SUM, COUNT, AVG, MAX, MIN)
- JOIN operations
- Subqueries Data extraction for reporting
- Practical: Querying business database, Customer segmentation exercise, Procurement spend analysis
4
- Handling missing values
- Removing duplicates
- Data transformation techniques
- Data validation processes Identifying anomalies
- Basic data quality checks
- Practical: Cleaning messy real-world dataset
5
Introduction to Power BI
Data modeling
Creating relationships
Building dashboards
KPI creation
DAX basics
Interactive reports
Publishing reports
Dashboard design best practices
Practical:
Executive dashboard project, Financial performance dashboard, Operations monitoring dashboard
6
- Python fundamentals
- Pandas basics
- DataFrames
- Basic data manipulation
- Simple visualization with Matplotlib
- Exporting reports
- Practical: Data cleaning using Python Visualization project
7
- KPI development
- Data-driven decision frameworks
- Reporting best practices
- Risk analysis basics
- Forecasting fundamentals
- Data interpretation skills
- Case Studies: Oil & gas operations dataset, Retail performance analysis, Corporate finance case
8
Participants must complete:
- Real business dataset analysis
- Create dashboard
- Present findings
- Submit structured analytical report
- Presentation session included.
9
Participants receive:
- Professional Certificate in Data Analytics & Business Intelligence
- Issued by ProCert Academy Limited
- Duration: 6 Weeks
- Price: N500,000 per participant
10
This program is designed for:
- Entry-Level & Career Transition
- Fresh graduates seeking data careers
- NYSC membersJob seekers transitioning into tech
- IT support staff upgrading skills
- Corporate Professionals
- Finance & accounting officers
- Procurement & supply chain analysts
- Business development officers
- HR analysts
- Operations managers
- Project coordinators
- Audit & compliance officers
- Management & Decision Makers
- Business managers
- Strategy officers
- SME owners
- Entrepreneurs needing performance analytics
- Technical Professionals
- Software developers
- IT administrators
- MIS officers
- Reporting analysts
- Duration: 6-8 Weeks (Weekend / Evening Program)
This course includes
- 10+ Activity Modules
- 40 hours + lessons
- Lifetime access
- Certificate of completion
- Available on desktop and mobile
Partnerships
Some of Our Partners