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Academy Xi

Applied Data Analytics & Visualisation: Professional Certificate

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Upskill and elevate your career with in-demand analytics expertise in Excel, SQL, Tableau and Python, mastering data cleaning, visualisation, dashboards and insight storytelling to drive confident, business-ready decisions.

Powered by Academy Xi
  • 6 months access, 60-80 hours
  • No prerequisites
  • Up to twelve 1:1 mentor sessions
  • Digital Skills Masterclass Program

Self-paced, Study from $126.92 per week

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Applied Data Analytics & Visualisation: Professional Certificate

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Applied Data Analytics & Visualisation: Professional Certificate
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Subscription model for all Professional Certificate courses

Academy Xi students now have the option to subscribe to our entire range of Professional Certificate courses across all our portfolios for a monthly fee. Use this as a way to gain a wider digital skillset and give yourself an advantage as you compete for roles in the ever-changing employment landscape.

Why choose this course?

No prerequisites or previous experience required


Kickstart your learning journey today, no matter your experience level. This course eases you in, builds your confidence, and helps you get up to speed quickly.


Flexible and self-paced

With 6 months of access, the speed at which you tackle online course content is up to you. Study at your own pace and fit learning into your busy lifestyle.

Created for Upskillers

Our Professional Certificate courses help you strengthen your career with in-demand skills, opening doors to better opportunities, higher earning potential, and long-term growth.

Course breakdown

What your curriculum looks like

Further develop your Applied Data Analytics & Visualisation skills within 6 months. You’ll work through interactive online course content at your own pace, and have the support of an industry mentor when you need it.

Applied Data Analytics & Visualisation: Professional Certificate

Module 1
Introduction to Data Analytics

Recommended: 6-8 hours per module


Explore the value of data analytics, recognise types of problems answerable with data and cover some useful mindsets for approaching data. You’ll get familiar with the data analytics pipeline and use cases for key data tools.

  • Recognise the value of data analytics 
  • Key terminology and tools relevant to the data space 
  • Awareness of data communication 
  • Apply introductory Excel skills 
  • Understand how Python is used in data analytics 
  • Apply the full data analytics pipeline to a data challenge
Module 2
Define the problem

Recommended: 6-8 hours per module

Understand the importance of connecting the high-level business objective (the ‘why’) with the objective for your data analysis. You’ll learn how to research the ‘problem domain’, write a problem statement and set success metrics.

  • Define the problem, the problem domain and context 
  • Establish which insights are obtainable via data 
  • Translate business goals into data analysis goals 
  • Create a data analysis SMART goal 
  • Set expectations with stakeholders regarding data projects 
  • Apply basic Excel skills to a data problem Introduction to Python libraries 
  • Create a data analysis project statement of work
Module 3
Get the data

Recommended: 6-8 hours per module

Learn how to identify data for your analysis goals and the best data sources. You’ll uncover potential issues related to data collection, including data quality and ownership. You’ll also learn how to make queries to retrieve data from databases.

  • Data licensing, ethics and privacy 
  • Obtain data from internal and external sources 
  • Relational databases 
  • Apply database skills by using Google BigQuery 
  • Write SQL queries 
  • Extract data from real databases 
  • Combine Python and SQL
Module 4
Manipulate the data

Recommended: 6-8 hours per module

Explore common data manipulation techniques, such as converting data types, sorting, filtering and managing duplicates. You’ll also learn how to work with various file formats, such as CSV and JSON.

  • Understand statistical and computer science data types 
  • Identify different data file types such as CSV and JSON 
  • Apply common data manipulation techniques, such as converting data types, sorting, filtering and managing duplicates in Excel 
  • Apply these same data manipulation techniques in Python
Module 5
Intro to charts

Recommended: 6-8 hours per module

Learn how to use charts to explore data, discover new insights or form your own hypotheses. You’ll learn about different types of charts, how to build them, and how to use them to discover patterns and insights.

  • Introduction to charts and data visualisations 
  • Identify charts for exploration and charts for communication 
  • Analyse types of charts and when each type is appropriate to use 
  • Understand the anatomy of a chart and chart elements 
  • Create charts using Excel and Python 
  • Use chart-creating tools such as Datawrapper and Tableau
5/ modules
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Payment Options

Week to week
Pay as you go
Pay in $200.00 today & then over 26 instalments
$126.92 Weekly
Total course cost: $3,500.00
Pay Upfront
$3,500.00
Full course breakdown
TBD

Need more details about Data Analytics & Visualisation courses?

The course guides contain everything you need to know about Data Analytics & Visualisation courses, including…

  • Topics covered
  • How you’ll learn
  • Course outcomes and more!

Why study Data Analytics & Visualisation at Academy Xi?

  • Portfolio & career
  • Learning & resources
  • Mentoring and support
    • Custom analytics project

      Bring all of your learnings together at the end of your course, and walk away with a unique dataset project that showcases your new skills.
    • Hands-on experience

      Get experience retrieving raw datasets, running SQL queries, manipulating data in Excel or Python, and creating data visualisations in Tableau.

    • This course has been built in consultation with experts from VisualNoise Data, so what you’ll learn is always current and industry recognised.
    • Flexible coding options

      Choose a level of coding exposure suited to your ambitions, with either a ‘low code’ route using Excel and SQL, or a more advanced coding approach that includes Python and SQL.
    • Unparalleled levels of support

      Get 1:1 mentor sessions and access to dedicated teams who guide you through each stage of your learning journey.
    • Exclusive masterclass program

      Join monthly expert-led sessions to sharpen your skills, grow your network, and learn from people already working in the industry.
    This training is distinguished from other courses through its immediate feedback, if you choose to get it. I think that’s what really sets it apart – having that high level of support.
    Barry N., Software Engineer
    AXI Graduate, Design & Technology
    I started the Data Analytics course as a complete beginner. By graduation, I could write my own code with Python, create amazing data visualisations and had built a pretty impressive portfolio. For anyone interested in starting a career in digital industries, an Academy Xi course is a great way to get the ball rolling.
    Jocelyn T., Data Analyst
    AXI Graduate, Design & Technology

    Frequently Asked Questions

    What is Data Analytics?

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    Data Analytics is the process of sourcing, cleaning and analysing raw data to identify meaningful patterns, trends and insights. Insights extracted from data can be used to find answers to all kinds of questions, and solutions for even the trickiest problems.

    Data Analytics helps us understand the effects of what we’ve been doing, what we could be doing, and any probable outcomes that come with a new course of action. At its core, data analytics tells us what to do next. The ultimate aim is to use hard facts to make well-informed decisions that help a project reach its goals.

    Why is Data Analytics important in business?

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    Many businesses have a wealth of raw data at their fingertips, but translating it into actionable insights is easier said than done. Data Analytics helps a business tap into a vital resource and better understand its products, customers and competitors, as well as its own operational procedures and capabilities. Armed with this knowledge, businesses are able to identify inefficiencies and opportunities. Because data is not an opinion or a theory, it can act as an impartial source of truth when making important decisions.

    What tools do Data Analysts commonly use?

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    Data Analysts rely on a wide variety of tools to be more effective and efficient in their day-to-day work. Some of the handiest tools that Data Analysts use include: 

    •  Excel
    •  Python Programming
    •  SQL
    •  Power BI
    •  R 
    •  Google Colaboratory
    •  Google BigQuery
    •  Tableau
    •  Datawrapper

    What is the difference between Advanced Certificate, Professional Certificate & Foundational Certificate courses?

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    Academy XI’s online courses come in three formats. Whatever your learning style, work schedule, or level of support you need, Academy XI has you covered.

    To choose the right course format, start with your career goals:

    • Are you studying to transform your career? Academy XI’s ADVANCED CERTIFICATE courses give you up-to-date industry skills and set you up to graduate job-ready, with a built-in Career Support Program.
    • Want to complement your existing skill set? Academy XI’s PROFESSIONAL CERTIFICATE courses help you grow your expertise in a social, supported environment.
    • Just want the fundamentals? Explore at your own pace with Academy XI’s FOUNDATIONAL CERTIFICATE courses.

    How will I learn at Academy Xi?

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    In this course you’ll experience our ‘flipped classroom’ style of learning, where students cover course content independently and at their own pace, before coming together to discuss concepts, ask questions and collaborate with mentor support. You’ll learn through a combination of:

    • Readings
    • Pre-recorded videos
    • Regular live sessions with your mentor and peers
    • 1:1 sessions with your mentor
    • Hands-on activities and practical project work
    • Q&A via chat and discussion boards