Senior Data Analyst
overview
Course Overview
Building upon foundational data handling skills, the Senior Analyst course focuses on optimizing data workflows, applying advanced analytical techniques, and leveraging sophisticated features within Excel and Power BI. Participants will learn to tackle complex business problems, design robust analytical solutions, derive actionable insights, and communicate findings effectively, preparing them for senior analyst roles.
Learning Outcomes
By the end of the Senior Analyst course, participants will be able to:
- Implement advanced data preparation techniques and optimize data workflows using tools like Power Query.
- Perform complex analysis in Excel/Sheets using advanced functions, Pivot Tables, and basic automation.
- Design robust data models in Power BI and write sophisticated DAX measures for complex calculations.
- Create compelling, interactive dashboards in Power BI using advanced visualization techniques and design best practices.
- Apply fundamental statistical concepts to analysis and translate complex findings into actionable business insights.
- Develop strong data narratives and effectively communicate insights to various stakeholders using advanced reporting features.
Curriculum
Module 1: Advanced Data Preparation & Workflow Optimization
Advanced Data Cleaning: Handling Complex Errors, Inconsistencies, Outliers, Data Validation Rules
Automating Data Prep: Advanced Power Query (Parameters, Functions, Merging/Appending Complex Datasets)
Data Governance and Data Quality Principles Introduction
Optimizing Queries for Performance
Module 2: Advanced Analysis & Techniques in Excel/Sheets
Advanced Formulas: VLOOKUP/INDEX-MATCH, Complex Logical Statements (Nested IFs, AND/OR), Basic Statistical Functions (STDEV, CORREL)
Complex Pivot Table Analysis: Calculated Fields/Items, Grouping, Slicers
Advanced Conditional Formatting and Data Validation Techniques
Introduction to Automation: Simple Macros (Excel) / Basic Apps Script Concepts (Sheets)
Module 3: Advanced Data Modeling & DAX in Power BI
Data Modeling Best Practices: Star Schema, Snowflake Schema Concepts, Handling Complex Relationships (Many-to-Many)
Writing Sophisticated DAX: CALCULATE Deep Dive, Time Intelligence Functions (YTD, MTD, SamePeriodLastYear), Variables, Iterator Functions (SUMX, AVERAGEX, RANKX), Basic Parent-Child Functions.
Optimizing Data Models: Cardinality, Filter Context, Storage Modes
Module 4: Advanced Visualization & Dashboard Design in Power BI
Utilizing Advanced & Custom Visuals
Implementing Interactions, Drill-through, Cross-filtering Effectively
Dashboard Design Principles: Layout, Color Theory, User Experience (UX)
Implementing Basic Row-Level Security (RLS)
Publishing, Sharing, and Managing Reports/Dashboards in the Power BI Service
Module 5: Statistical Concepts & Insight Generation
Applying Statistical Concepts: Correlation vs. Causation, Introduction to Regression, Understanding Distributions
Performing Segmentation and Cohort Analysis
Identifying Trends, Patterns, and Anomalies using Analytical Techniques
Translating Analytical Findings into Actionable Business Insights & Recommendations
Module 6: Data Storytelling & Advanced Reporting
Developing Compelling Data Narratives: Structuring Insights Logically
Designing Reports/Dashboards for Effective Communication
Utilizing Advanced Presentation Features: Bookmarks, Tooltips, Report Themes (Power BI)
Tailoring Communication Style to Different Audiences (Technical vs. Non-Technical)
Confidently Presenting Analytical Findings and Recommendations
who attends
Right For You
Participants should have a minimum of 1-2 years of hands-on experience involving data manipulation, analysis, and reporting using tools like Excel or Power BI OR completion of a comprehensive foundational data analysis course.
Demonstrable understanding of basic data concepts, data cleaning, formulas, and basic dashboard creation.
Strong analytical and problem-solving skills are essential.
Access to a computer capable of running Microsoft Excel/Google Sheets and Power BI Desktop, along with a reliable internet connection.
Requirements:
- Data Analysts with foundational experience seeking to advance to senior roles.
- Business Intelligence professionals looking to deepen their technical and analytical capabilities.
- Individuals who have completed a foundational data analysis course or possess equivalent practical experience in data handling and basic reporting.
- Professionals responsible for complex data analysis, dashboard development, and providing strategic insights.
- Data-driven managers seeking to enhance their team's analytical capabilities or their own strategic analysis skills.
Prospective applicants who do not meet the programme requirement but want to join the programme should talk to a Career Advisor.
Key Program Features
Training
The Senior Data Analyst training approach employs hands-on learning, which imparts the skills required for specific job roles.
Internship & Projects
The Senior Data Analyst course provides up to 4 months of internship while working on real work projects, which adds expertise and verifiable work references in the resident country.
Career Development
The Senior Data Analyst course assists participants in securing a job through the development of a professional profile and job prospecting.
teaching team
Meet Your Facilitator(s)
Olawande Akinmola
Trainer at Piston and Fusion Business Academy • Nigeria
B.Sc. in Microbiology; certifications in Data Analysis, Financial Analysis, and Financial Modelling (DAFM)
Olawande Akinmola is a Business Intelligence Analyst and facilitator skilled in transforming data into actionable insights. With a B.Sc. in Microbiology and certifications in Data and Financial Analysis, she specializes in SQL, Tableau, and Power BI. With three years of experience, she helps businesses make data-driven decisions through clear, strategic insights. As a facilitator at Piston and Fusion, she empowers professionals with data literacy, making complex information accessible and impactful.
course schedule
The Schedule For This Course
Piston and Fusion offer the Course as Classroom in Lagos and Virtual Online Class in other states in Nigeria. See dates and fees for classroom and virtual online class.
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What It Will Cost
Piston and Fusion offer the Course as Classroom in Lagos and Virtual Online Class in other states in Nigeria. See dates and fees for classroom and virtual online class.
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Ready to Join the Course?
“This programme is designed for executives tasked with igniting innovation within their organisations, or who seek to create innovative solutions to a major challenge.
How to Apply:
- Check the website to select a course of choice and fee.
- Pay the registration fee and tuition to P&F account domiciled at First Bank
- DETAILS Account Name: Piston & Fusion Ltd Account Number: 2015242578 Bank: First Bank of Nigeria
- Send your name, phone no, email, training location, amount paid & proof of payment to fees@pistonandfusion.org
- Complete the enrollment form ONLY AFTER PAYMENT
- CASH PAYMENTS ARE NOT ALLOWED, ALL PAYMENTS MUST BE MADE TO THE COMPANY’S ACCOUNT.
https://www.pistonandfusion.org/enrol-now?type=individual&course=senior-data-analyst
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