DA100: Data Analytics with SQL and Tableau (Classroom)

Training Provider: HEICODERS ACADEMY PRIVATE LIMITED
Course Reference: TGS-2025059075
S$1,050
Original: S$2,100
Save S$1,050

About This Course

This course is designed for professionals across industries who want to build practical, hands-on skills in data analytics using SQL and Tableau. Whether you're working in business, marketing, operations, or any data-driven function, this course equips you with the tools to extract, analyse, and present data in ways that drive better decision-making.

Through structured guidance and real-world applications, you’ll learn how to write SQL queries to extract and aggregate data from relational databases, and transform insights into impactful visualisations using Tableau. You’ll also learn how to communicate data-driven stories clearly and effectively - tailored to different audiences - by applying proven frameworks and dashboarding techniques.

Ideal for analysts, aspiring data professionals, and anyone seeking to make sense of data, this course empowers you to turn raw information into clear, actionable insights.

What You'll Learn

By the end of this course, you will be able to:

- Write SQL queries to extract, filter, and combine data from relational databases to support analytical decision-making.
- Summarise and structure SQL outputs to derive insights and align data presentation with stakeholder needs.
- Apply visual analytics frameworks in Tableau to design effective charts that support data storytelling and business insight generation.
- Incorporate interactive features on dashboards to allow exploration of data patterns across categories.
- Build intuitive dashboards using Tableau that reflect key trends, performance metrics, and business comparisons.
- Enhance dashboards with dynamic elements such as filters and dropdowns, to enable real-time and audience-specific analysis.

This course will equip you with practical skills in SQL and Tableau to turn raw data into actionable insights and compelling visual narratives for diverse business contexts.

Entry Requirements

While no prior technical or coding experience is required, learners must possess:

1. English Language Proficiency:
- Ability to communicate clearly in spoken and written English

2. Digital Literacy:
- Familiarity with basic digital tools, such as email and web browsing

Course Details

Duration 21.5 hours
Language English
Training Commitment Part Time
Total Enrolled 213 students
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