Udacity’s subject matter experts on this course include people like Josh Bernhard. Josh has been sharing his passion for data for nearly a decade at all levels of university, and as lead data science Instructor at Galvanize. He’s used data science for work ranging from cancer research to process automation.
Programming for Data Science with Python
Grasp the programming fundamentals in Python, SQL, Command Line, and Git that are the most important programming languages used by data scientists today.
- Time commitment
- 12 weeks (10 hours per week) 100% online
100% online, workplace ready
According to the 2020 Emerging Jobs Report Australia by LinkedIn, data scientists and engineers ranked #7 and #8 in the top 15 emerging jobs, indicating that as industries evolve, the adoption of new technologies is opening up a wealth of demand for new talent. If you’re looking to seize the opportunity and future-proof your career, our Programming for Data Science with Python may be the course for you. Created with collaborative data science company Mode, you’ll cover fundamental programming skills used in many data analysis and data science roles, including Python, SQL, Terminal, and Git.
Who this course is for
Our Programming for Data Science with Python course is ideal for professionals and non-programmers who are taking their first steps into data science or are seeking a versatile programming skillset for data analysis.
By the end of this course, you’ll walk away with an RMIT credential which can be validated, recognised, and shared on social media platforms. Throughout this course you’ll also work on three projects:
- Investigating a relational database while working on PostgreSQL. You’ll complete the entire data analysis process, starting by posing a question, running appropriate SQL queries to answer your question, and sharing your findings.
- You will use Python to answer interesting questions through data collected. You’ll write code to collect the data, compute descriptive statistics, and create an interactive experience in the terminal that presents the answers to your questions.
- On GitHub, you’ll post different versions of a Jupyter Notebook capturing your learnings from the course, and add comments to your project Git repository.
- Python coding
- Command Line
- Version Control
- Data visualisation
Get RMIT credentialed
After completing an RMIT Future Skills course, you will earn an RMIT credential which can be validated, recognised and shared on social media platforms.
Introduction to SQL
Learn SQL fundamentals such as JOINs, aggregations, and subqueries and how to employ SQL to answer complex business problems.
Introduction to Python Programming
Learn to represent and store data using Python data types and variables, and use conditionals and loops to control the flow of your programs. You’ll harness the power of complex data structures like lists, sets, dictionaries, and tuples to store collections of related data.
Introduction to Version Control
Learn how to use version control and share your work with other people in the data science industry.
Learn with Industry Experts
Get ready to meet some of the biggest names in the business
Derek is the CEO of Mode Analytics. He developed an analytical foundation at Facebook and Yammer and is passionate about sharing it with future analysts. He authored SQL School and is a mentor at Insight Data Science.
Our Learner Success team are here to help you with any course enablement issues such as logins and passwords, withdrawals and deferrals, obtaining your RMIT badge, and more.
Why choose RMIT Online
Get a world-class education and transform your career.
Real world skills
Develop skills that have been validated by industry, while getting credentialed by a world-leading university.
You'll gain knowledge and practical skills from renowned industry partners who are at the forefront of their field.
Advance your career while you study. RMIT Online courses let you balance work, study and life commitments.
Be guided by a network of industry experts and peers, and supported by our dedicated success team.