TOP 10 DATA SCIENCE COURSES IN MELBOURNE, AUSTRALIA - PAGE 5

TensorFlow Extended (TFX) is an end-to-end platform for deploying production ML pipelines. This instructor-led, live training (online or onsite) is aimed at data scientists who wish to go from training a single ML model to deploying many ML models to production.

Elevate your data presentation skills with this one-day workshop focused on data visualisation best practices in Power BI. Explore report layout design, conditional formatting, and select appropriate chart types to craft engaging reports that resonate with your audience.

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualising, and analysing data with Power BI. The course will also show how to access and process data from a range of data sources including both relational and

This course includes valued and widely recognised certifications from industry leaders AWS and TensorFlow and offers students the opportunity to learn about the most exciting and dynamic field in technology right now, with a high demand for skilled professionals across many industries.

R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework.

In all fields of research we are being confronted with a deluge of data; data that needs cleaning and transformation to be used in further analysis. This webinar demonstrates the effective use of programming tools for an initial analysis of COVID-19 datasets, with examples using both R and Python.

Tableau is a powerful data visualisation software that can help anyone see and understand their data. With the features to connect to almost any database, drag and drop to create visualizations, and share with a click, it definately makes thing easier.

The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line.

Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products.