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Data analytics curriculum
Over the course of the past decade, the explosion of data has transformed nearly every industry known to man. Whether it’s in marketing, healthcare, government, or activism—the ability to translate data into insights has quickly become a highly valued skill by all. When it comes to data analytics, it’s important to achieve mastery in the application of concepts because companies care about what you can do, not just what you know. The Monash University Data Analytics Boot Camp curriculum teaches you how to use what you’ve learned in solving real-world data projects.
Part-time data analytics program
Module 1: Excel Crash Course
Description:
Learn to do more with Microsoft Excel. In this module, we’ll cover advanced topics like statistical modeling, forecasting and prediction, pivot tables, and VBA scripting. You’ll even learn to model historic stock trends — and hopefully, learn to beat the market!
What You Will Learn:
- Microsoft Excel
- VBA Scripting
- Statistics Modeling
Module 2: Python Data Analytics
Description:
Gain a strong foothold in one of today’s fundamental programming languages. In the course of this module, you’ll gain deep proficiencies with core Python, data analytics tools like NumPy, Pandas, Matplotlib, and specific libraries for interacting with web data like Requests and Beautiful Soup.
What You Will Learn:
- Python
- APIs
- JSON
- NumPy
- SciPy
- Pandas
- Matplotlib
- Beautiful Soup
Module 3: Databases
Description:
Work with PostgreSQL and MongoDB to organise data into well-structured and easily retrievable data formats.
What You Will Learn:
- SQL
- PostgreSQL
- ETL Process
- MongoDB
Module 4: Web Visualisation
Description:
Building visualisations is of little benefit without a way to communicate the message. In this module, you’ll be learning the core technologies of web development (HTML, CSS, and JavaScript) to create new, interactive data visualisations that you can share with everyone on the web.
What You Will Learn:
- HTML
- CSS
- JavaScript
- AJAX
- Leaflet
Module 5: Advanced Topics
Description:
By program’s end, you’ll be immersed in new and in-demand topics like Tableau, Hadoop, and Machine Learning.
What You Will Learn:
- Tableau
- Hadoop
- Machine Learning
Module 6: Final Project Week 24
Description:
Bring everything that you have learned in class altogether to create an impressive data-visualisation application with a small team. Get creative and come up with something cool to show off to the whole world!
What You Will Learn:
- Dreaming up something fantastic and pushing the bounds of reasonable and achievable