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
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
- Real business dataset analysis
- Create dashboard
- Present findings
- Submit structured analytical report
- Presentation session included.
9
- Professional Certificate in Data Analytics & Business Intelligence
- Issued by ProCert Academy Limited
- Duration: 6 Weeks
- Price: N500,000 per participant
10
- 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
What Our Participants Say
Hear from participants who have experienced our training.
The facilitator’s wealth of experience was both striking and beneficial. He really helped translate concepts to real life.
The practical session where step by step of the lecture is broken down in visual and practice
I enjoyed the interactivity. It was also very direct, pointing out to us the key things to look for in the bidding, tender and proposal administration process, while also ensuri...
The practical session of the class which helped in giving a live run through of the necessary bidding and tender platform
The atmosphere was very pleasant, as it was an interactive and engaging session, which I personally enjoyed.
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