When we think of data science and analytics, gone are the days of scientists crunching numbers and speaking in jargon no-one can understand. Now, data scientists have become investigators, storytellers, and problem solvers who transform raw data into actionable insights.

Understanding how to extract, wrangle, and interpret data has never been so important and this skill set is not limited to Data Scientists. All businesses can benefit from their employees understanding Data Science and Analytics.

This one-week course will equip you with toolkits, language, and software that will help you visualise, communicate, and manipulate data. Numbers will come to life, enabling you to make data-informed and educated predictions that will make all the difference in business decisions.

This course is for

There are no prerequisites for this course. We only ask you have an interest and willingness to learn and elevate your skills.

  • Anyone Curious: you’ve heard of data science and analytics, but you haven’t had much exposure.  Now you want to understand how it applies to your industry, personal project, or career.
  • Professionals: you want or will need to start working with data science and analytics in your professional career. You now need to elevate your skills to stay relevant, grow, and innovate.
  • Career Changers: you’re someone who is looking for a career change and the combination of numbers, data, science, analytics, and yes even creativity is calling your name.
  • Marketers: you need to make data-driven decisions around content creation and marketing. You need to tap into insights to better understand your target audience.
  • Finance Analysts: you’re all about the numbers and want to advance your skills in financial analysis and data science. You want to solve problems using both finance and data scientist skills.
  • Information Technologists: You already know the concepts of IT and you want to specialise in analytics. It’s time for you to learn the latest tools and technologies used in data analytics and statistics.
What you'll learn
  • Introduction to Data Science and Analytics

    Learn how organisations structure and manage data to deliver successful end-to-end analytics projects. You’ll also familiarise yourself with the lingo, latest trends, and hot topics within the industry.

  • Exploring Analytics: Small Datasets

    Explore techniques to manipulate small datasets for real-world applications. Gain experience in summary statistics and sampling, and the skills to visualise numerical data and categorical variables.

  • Exploring Analytics: Large Datasets

    Understand the role of large databases in the context of analytics. You’ll also learn tools such as commercial and open-source solutions and uncover basic and advanced SQL statements.

  • Data Visualisation and Storytelling

    Make sense of data communication techniques including the Grammar of Graphics, theory of colour, optics, and charts. Work through data storytelling and build examples of exploratory and explanatory data analysis.

  • Statistics and Machine Learning to Real-World Problems

    Delve into statistics and machine learning, including supervised and unsupervised learning, regression and classification models. You’ll also gain exposure to building predictive analytics projects including model selection, accuracy and interpretability.

Learn more
Career outcomes

Data Visualisation and Manipulation

  • Contextualise and learn data visualisation techniques for analytics
  • Learn how to ingest and manipulate small and large datasets
  • Identify solutions on how to deal with data quality issues


  • Apply statistics and machine learning techniques to solve real-world problems
  • Learn how to apply your new skills to different industries
  • Determine the next steps in your career

Hands-On Skills

  • Learn a unique range of important soft and hard skills in building and managing data science and analytics capabilities
  • Learn how to use the most popular tools and frameworks for analysing information
  • Experience solving problems using data science techniques and tools


  • Preparation for managing data science and analytics in organisations of all sizes
  • Understand how organisations are applying analytics and data science in their day-to-day operations
Felipe Rego

Felipe Rego

Data Science and Analytics Partner at feliperego.com.au

Felipe is a leading Advanced Analytics and Data Science Partner, helping teams build, manage, and enhance their data science and visualisation solutions in a strategically-aligned, commercially-oriented, and customer-centred way.

With extensive industry experience as well as a deep, technical analytical expertise, Felipe is often required by marketing, sales, finance, technology, and strategy teams to provide support and to deliver robust analytical solutions that are easy to use. Felipe’s unique methodology focuses on a holistic organisational approach to using data and science to improve performance and reduce costs.

Felipe specialises in Data Discovery, Exploratory Data Analysis, Interactive Data Visualisation Dashboards, Predictive Analytics and Analytics Project Management.

“Working with a variety of organisations, I’ve come to realise that one of the most important — and possibly hardest — things a data scientist must achieve is the ability to communicate results to non-technical people,” says Felipe.

For more, visit: feliperego.com.au

Next course dates and fees
5 Weeks | Tuesday & Thursday evenings
23/10/2018 to 22/11/2018
6:15 pm to 8:45 pm
$3,500 AUD

Academy Xi,
Ground Floor,
48 Druitt Street,
Sydney NSW 2000