Top Melbourne Data Courses

Find the perfect Data class for you in Melbourne. We’ve found 26 courses available in-person or live online with class duration ranging from 3 hours to 12 weeks and pricing ranging from $250 to $15,950.

  • General Assembly Data Science Immersive

    This data science program is designed to help individuals with a math background and some familiarity with Python programming bolster their skills and get up to speed and launch their data career. Through their blended learning model, students will be able to hone their data skills through fundamental preparatory work, in-class project work, and though the support of a devoted career coach. Students in this course will start their data science journeys by learning fundamental concepts around Python programming and leveraging programming tools like GitHub. As the course progresses, students will explore additional programming concepts like NumPy, utilizing Unix commands, using Pandas to clean and extract data, and web scraping tools. The course also covers statistical modeling and regressions, machine learning models, NLP, and a few other advanced topics and trends that are helpful to data scientists of all levels.

    In-person @ 12a/45 William St, Melbourne, VIC Also available online
    • $15,950
    • 12 Weeks
    • Weekdays
    • Intermediate
    Loading...
  • General Assembly Data Analytics Course

    This data analytics course is a 40-hour in-person or online program for individuals with no prior experience with data analytics. Utilizing a hands-on approach, students learn by doing in order to build vital and dynamic skills that are applicable in a wide range of industries. The course curriculum centers around the core processes all data analysts must know, including data collection, cleaning, analyzing, and data visualization best practices. Students also come away with hands-on experience using some of the most common tools in the industry, including Microsoft Excel, SQL, and Tableau. By the end of the course, students will have a better understanding of how to gain insights from data and feel more prepared for a possible career in data analytics.

    In-person @ 12a/45 William St, Melbourne, VIC Also available online
    • $3,950
    • 40 Hours
    • Weekdays or Evenings
    • Beginner
    Loading...
  • General Assembly Data Science Course

    This data science course is a 10-week, part-time program for individuals with backgrounds in programming or a quantitative field. Utilizing a hands-on approach, students learn by doing to build vibrant skills that are essential in any field that leverages big data. The course curriculum centers around Python programming and data exploration, data modeling, and machine learning. Graduates of the Data Science course will be able to showcase their strong understanding of Python programming and applied statistics through their capstone projects, which are also a great springboard to a career in data science.

    In-person @ 12a/45 William St, Melbourne, VIC Also available online
    • $3,950
    • 60 Hours
    • Weekdays or Evenings
    • Intermediate
    Loading...
  • General Assembly SQL Bootcamp: Learning the Language

    This SQL bootcamp is a beginner-friendly workshop designed for individuals with no prior knowledge of SQL who are eager to learn. In this hands-on workshop, students will learn the basics of SQL syntax and how databases are organized. Students in this course will also learn how to query data, aggregate data with statistical functions (SUM, AVG, COUNT, etc.), group data, and use conditional operators (=, <, >, etc.) to sort and filter data, and much more. Students will also learn when and how to use UNIONs and JOINs to merge data to spot trends and other insights.

    In-person @ 12a/45 William St, Melbourne, VIC Also available online
    • $350
    • 1 Day
    • Weekdays or Weekends
    • Beginner
    Loading...
  • Practical Programming Python for Data Science Immersive

    This 1-week data analytics course provides a deep-dive into using Python for data analysis. Students will get comfortable with the basics of Python programming and start working with critical data analysis libraries like Numpy, Pandas, and Matplotlib to perform data analysis and create data visualizations. This 35 hour intensive is meant to quickly get beginners in Python up to speed on performing data analysis and visualization in Python.

    Available live online (virtual training) from anywhere
    • $1,495
    • 30 Hours
    • Weekdays
    • Beginner
    Loading...
  • General Assembly Intro to Advanced SQL Concepts

    This advanced SQL course is a 3-hour workshop designed for individuals already familiar with SQL who are looking to take their skills to the next level. In this advanced hands-on workshop, students will dive into advanced calculations and techniques to work with data more effectively through SQL. Students in this course will also learn concepts like Text Searching, Views, and Stored Functions and Procedures. Students will also be provided with resources to hone their skills and practice the concepts covered in the course.

    In-person @ 12a/45 William St, Melbourne, VIC Also available online
    • See provider
    • 3 Hours
    • Weekdays or Weekends
    • Advanced
    Loading...
  • General Assembly Design Your Data: Tableau Bootcamp

    This Tableau bootcamp is a beginner-friendly course designed for individuals hungry to learn the basics of Tableau. In this hands-on workshop, students will use Tableau to explore a data set and learn not only how to connect to data and present data with stunning visuals, but also some best practices around data visualization, using Tableau filters, and publishing with Tableau. Students in this course will also learn how to create Tableau dashboards, how to use the built-in Maps function, some helpful tricks, and more.

    In-person @ 12a/45 William St, Melbourne, VIC Also available online
    • See provider
    • 1 Day
    • Weekdays or Weekends
    • Beginner
    Loading...
  • General Assembly Data Analytics Bootcamp

    This data analytics course is a 1-day bootcamp designed for individuals interested in learning the best practice of working with data and understanding the data analytics roadmap. In this hands-on bootcamp, students will learn how data can help inform decision making, understand the data analytics workflow, and gain exposure to some of the most common tools used for data analysis. Students will also learn how to ask the right questions that can be answered with data, clean and analyze data with standard spreadsheet software (Excel/Google Sheets), and use Tableau to create dynamic visuals.

    In-person @ 12a/45 William St, Melbourne, VIC Also available online
    • $250
    • 7 Hours
    • Weekdays or Weekends
    • Beginner
    Loading...
  • General Assembly Data Science Bootcamp

    This data science program is a beginner-friendly bootcamp designed for individuals interested in learning the best practice of working with data and understanding how to gain insights from large data sets. In this hands-on bootcamp, students will get an overview of data science, including the various roles within data science and how to recognize and solve problems with data science. Students will also discuss how to use some well-known statistical models and how models fit into a data science project. Finally, students will explore various tools, including data visualization, analytical, and modeling tools essential in the field of data science.

    In-person @ 12a/45 William St, Melbourne, VIC Also available online
    • $250
    • 7 Hours
    • Weekdays or Weekends
    • Beginner
    Loading...
  • General Assembly Python and Machine Learning Bootcamp

    This Python and machine learning course is a 2-day bootcamp designed for individuals with some familiarity with Python programming looking to advance their skill set. In this hands-on bootcamp, students will learn how to use some Python data science libraries and various machine learning techniques. Day one of the bootcamp focuses on introducing students to two data science libraries (NumPy and Pandas), best practices for preparing data, an intro to machine learning, and regression analysis. Day two starts off with cross validation and regularization of data, concludes with classification, and brings everything learned in days one and two together.

    In-person @ 12a/45 William St, Melbourne, VIC Also available online
    • See provider
    • 14 Hours
    • Weekdays or Weekends
    • Intermediate
    Loading...

Please sign in to save your favorite courses

Enter your email address below to create a new account or sign in with an existing account.

Load 10 more courses

showing 10 of 26 courses