Think Like a Data Analyst: From Data to Insight

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JD

Juan Miguel Dela Rama

Date Published
September 21, 2026
Course Updated
September 21, 2026
Categories:
Analytics
Tags:

About the Course


Becoming an effective data analyst requires more than just knowing how to run queries or build charts, it demands a structured, end-to-end analytical mindset. Organizations do not just need raw reports, they need reliable data pipelines, intuitive visual dashboards, and strategic business recommendations that turn complex datasets into actionable growth opportunities.


This course guides participants through the full workflow of a professional data analyst. Featuring practical demonstrations using SQL and Tableau, participants will explore how to translate stakeholder requirements, clean messy datasets, perform root-cause analysis, build interactive dual-axis dashboards, and present evidence-based insights that drive executive decision-making.


Course Objective


  • To master the end-to-end data analyst workflow: Communicate, Clean, Analyze, Visualize, and Recommend
  • To apply domain expertise and core tools (SQL, Excel, Tableau) to build reliable data pipelines and interactive dashboards
  • To construct key operational performance indicators (such as Yield, Attainment, and Defect Rates) and translate visual trends into business recommendations


Course Outline


  • The Mindset and Role of a Modern Data Analyst- Bridging technical capabilities with domain knowledge (manufacturing, finance, HR, and sales)
  • Understanding the core tech stack: Excel, SQL, Python, and Business Intelligence (BI) platforms
  • Stakeholder Communication and Problem Framing- Translating raw business requests into structured technical requirements and KPI targets
  • Establishing clear project scopes before writing queries or building reports
  • Data Preparation and SQL Pipeline Querying- Performing data cleaning, filtering, and aggregation using MySQL (`WHERE`, `DISTINCT`, `BETWEEN`)
  • Handling messy text formats, extra spaces, and date formatting directly in database queries
  • Data Visualization and Interactive Dashboard Design in Tableau- Building dual-axis charts, stacked bars, line graph targets, and synchronized axes
  • Designing donut charts for yield percentages and configuring dynamic KPI displays and filters
  • From Dashboard Insights to Business Recommendations- Identifying operational bottlenecks, micro-stoppages, and top defect categories
  • Delivering actionable, executive-ready business recommendations that drive measurable impact


Target Participants


This course is designed for:

  • Aspiring data analysts, industrial engineers, and business intelligence professionals
  • Process leads, operations supervisors, and sales analysts looking to enhance their reporting capabilities
  • Professionals seeking practical, real-world skills in SQL data cleaning and Tableau dashboard development
  • Team leaders and managers wanting to foster a data-driven culture within their departments

 

Certificate Requirements


  • Completion of recorded webinar + quiz
  • Pass the 10-item multiple choice with 80% mark
  • Comment your feedback on the main page of the course


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