No-Code Data Science Made Easy: 1 Day Upskill Training in Darwin
Learn no-code programming with data science concepts to build data-driven thinking, workflows, and analytical skills.
Bring your team and save:
1. Groups of three or more receive a 10% discount
2. Organizations hosting an in-house session with 10+ participants enjoy a 15% discount.
For more information on venue address, reach out to "eventbrite@mgaussie.com"
Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, snacks, and beverages will be provided during the session
If you would like weekend training sessions, kindly reach out to us at eventbrite@mgaussie.com for availability and scheduling.
Course Overview:
This program introduces participants to the intersection of no-code development and data science concepts, enabling them to understand how data is structured, analyzed, and used in decision-making within applications. The course emphasizes conceptual understanding of data workflows, logic, and analytics while leveraging no-code environments.
Learning Objectives:
By the end of this training, you will be able to:
● Understand how data flows within applications
● Apply data science concepts in no-code environments
● Interpret and structure data for business insights
● Develop a data-driven mindset without coding
Target Audience:
● Mastering Business Writing Skills
● Core Management Skills
● Coaching Skills for Workplace Success
● Mastering the Art of Public Speaking
● Mastering Emotional Intelligence
● Stress Management and Resilience Training
Why Choose This Course?
This course provides a unique combination of no-code development concepts and data science fundamentals, helping participants build a strong data-driven mindset without needing programming experience. It simplifies complex technical concepts into practical, business-focused learning that professionals from any background can understand and apply. Participants will gain valuable knowledge on how data flows through applications, how automation and logic improve business processes, and how insights can be used for smarter decision-making.
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Good to know
Highlights
- 8 hours
- ages 18+
- In person
- Paid parking
Refund Policy
Location
Regus-Darwin, 66 Smith Street
Level 4 and 5, 66 Smith Street
Ph No: 61(0) 2 80155605 Darwin City, NT 0800
How do you want to get there?
Agenda
Module 1: Introduction to No-Code & Data Science Foundations
● Understanding no-code and low-code ecosystems ● Introduction to data science lifecycle (data collection → processing → analysis → insights) ● Role of data in modern applications ● Key concepts: structured vs unstructured data, data-driven decision-making ● Relationship between no-code tools and data science workflows
Module 2: Data Thinking & Problem Framing
● Translating business problems into data problems ● Identifying data requirements for applications ● Types of data: categorical, numerical, time-series ● Introduction to data-driven design thinking ● Understanding inputs, outputs, and expected insights
Module 3: Data Structures & Data Modeling Concepts
● Concept of data structures in applications (tables, records, fields) ● Basics of data modeling (entities, relationships, normalization – conceptual level) ● Understanding databases in no-code platforms ● Data integrity and consistency concepts ● Introduction to relational vs non-relational thinking