Get ready for an exciting journey into the world of data organization! From the moment you wake up until you drift off to sleep, you're constantly collecting information. Whether it's counting the number of bread slices you consume, tracking your daily steps, or noting the bus fare, data is everywhere.

In our previous discussion, we explored the fascinating careers in data science. Now, we'll dive into a less discussed but equally crucial area: organizing the raw materials your data science team uses. We'll start by defining what data is in the first place and then explore the various containers used to collect it. You'll learn how to format data properly for seamless sharing with your data science teams and discover the art of writing manuals to facilitate information sharing within the team and across the organization.

But that's not all! We'll also delve into the exciting world of data acquisition. You'll see examples of how to collect data from certain Application Programming Languages and learn about web scraping, which have become a very common way of gathering information for analysis.

Join us in this thrilling three-part series and take your skills as a data person to the next level. Don't be a database hugger; set your data free! By embracing data-driven decision-making, you'll unlock a world of opportunities and insights that you might be missing out on.

Get ready to organize, share, and analyze data like never before!

Africa's Talking powers communications solutions across Africa with simplified access to telco infrastructure, developers use our powerful SMS, USSD, Voice, Chat, Airtime and Mobile Data, to bring their ideas to life, as they build and sustain scalable businesses.

Agenda:

1. Arrival and Introduction
2. Data & associated terms
3. Storage methods
4. Data manuals
5. Sample Data Collection activity: Webscraping and calling APIs.

Target Audience

• Early Career Professionals and Students interested in exploring data science careers.
• Experienced Data Science Professionals looking for insights into specialized roles or to share their expertise.
• Career Switchers aiming to transition into data science roles.
• Academic Researchers seeking to understand the application of data science in the industry.
• Data Science Enthusiasts and Hobbyists interested in the latest trends and applications in machine learning and AI.
• Software Engineers backend and full-stack

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