AdelaideX: Programming for Data Science

AdelaideX: Programming for Data Science

by University of Adelaide

Programming for Data Science

Course Description

Are you ready to embark on an exciting journey into the world of Big Data? Our course, "Programming for Data Science," is the perfect starting point for anyone looking to dive into this rapidly growing field. As part of our Big Data MicroMasters program, this course will equip you with essential skills that are in high demand in today's job market.

Through hands-on, practical activities, you'll develop a strong foundation in digital technologies and coding. You'll learn how to design algorithms, master fundamental programming concepts, and even create simple data visualizations using Processing. By the end of the course, you'll be able to tackle small-scale data science problems using real-world datasets, giving you a taste of what it's like to work in this exciting field.

What You'll Learn

  • How to analyze data and perform simple data visualizations using Processing
  • Understanding and application of introductory programming concepts such as sequencing, iteration, and selection
  • Fundamental skills in algorithm design and data abstraction
  • Practical experience working with real-world datasets
  • Problem-solving skills for small-scale data science challenges
  • A solid foundation for further studies in computer science or other programming languages

Prerequisites

Good news! This course is designed for beginners, and there are no specific prerequisites. All you need is a curious mind and a willingness to learn. Whether you're a complete novice or have some basic programming knowledge, this course will meet you where you are and help you grow.

Course Content

  • Computational thinking and creative coding
  • Data representation and manipulation
  • Repetition and pattern recognition in code
  • Decision-making and control flow in programming
  • Advanced repetition techniques for data visualization
  • Testing and debugging strategies
  • Data organization using arrays
  • Function creation and reusable code
  • Practical applications of data science
  • Big Data concepts and future learning paths

Who This Course Is For

  • Aspiring data scientists and analysts
  • Students interested in computer science or programming
  • Professionals looking to upskill in the field of Big Data
  • Anyone curious about how data shapes the world around us
  • Individuals seeking to start a career in the booming tech industry

Real-World Applications

The skills you'll gain in this course have immediate real-world applications. You'll be able to:

  • Analyze and visualize data for business decision-making
  • Contribute to data-driven projects in various industries
  • Develop simple applications and tools for data analysis
  • Understand and interpret big data trends
  • Communicate complex data concepts to non-technical audiences
  • Lay the groundwork for more advanced studies in data science and programming

Syllabus

1. Creative code - Computational thinking
2. Building blocks - Breaking it down and building it up
3. Repetition - Creating and recognizing patterns
4. Choice - Which path to follow
5. Repetition - Going further
6. Testing and Debugging
7. Arranging our data
8. Functions - Reusable code
9. Data Science in practice
10. Where next?

Join Us!

Don't miss this opportunity to jumpstart your career in one of the most exciting and in-demand fields of the 21st century. Join us in "Programming for Data Science" and unlock the power of Big Data!

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