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🚨 Tickets for this event are only through Eventbrite! Please to get your ticket register here

Join us for this 4-part workshop to explore the basics of Data. The event is held online and is completely free.

Date: 30 October to 2 November 2023
Time: 7.30pm -9.30pm (Melbourne /Sydney time) daily
Are you fascinated by data, but unsure if it's the right path for you? This series of workshops is the perfect opportunity to learn new skills, uncover the power of data manipulation and presentation and explore your interest in tech.
The 4-day course is completely free of charge. Held online at 7.30pm each day, each 2-hour workshop covers a range of lectures and hands-on projects. In less than a week, you'll learn the essential skills needed to transform raw data into meaningful insights, gain confidence in data analysis, and witness firsthand the potential of Python as a valuable tool in today's data-driven landscape.

📊 What Awaits You:
- Dive into Python programming fundamentals without feeling overwhelmed.
- Learn data manipulation techniques that transform you into a data virtuoso.
- Craft visually stunning data presentations that captivate and inform.

🎉 Why sign up for Intro to Tech? 🎉
Risk-Free: Test the waters before diving in. Our Intro to Tech serves as your no-cost gateway to uncovering your passion for tech.
Fit around your current job: Each course takes place online in the evening for 4 days
Real skills: Get hands on with real skills learned on our full-time bootcamps and in the tech industry.

🔥 Claim Your Spot Today! 🔥
Don't let uncertainty hold you back. If you're enticed by the allure of coding, Le Wagon's Intro to Tech is your opportunity to take the leap into a new world of possibilities. Join us for an unforgettable week of discovery. The future of tech is at your fingertips!

👉 Register now and experience the 4-part series of FREE workshops – your first step towards a rewarding journey in the world of web development ! 🚀

❓How it works: Register and we'll send you a link to attend the online workshops!

Related topics

Data Science using Python
Education & Technology
Women Entrepreneurs
Database Development
Python

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