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Complete in under

235 hours

7 courses

Data pathway

Solve complex problems with data

At its core, data analytics is all about solving problems using data.

This course will help you understand how to clean and transform raw data into actionable insights that can be used to solve business problems and enable informed decision-making.

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Is the Data pathway for me?
Login to the Potential platform and complete your aptitude testing to see how well-suited you are to a career in data analysis.
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What will this training prepare me for?
You'll learn the fundamentals of data analysis, how to plot and optimise graphs using visualisation principles, uses of Tableau and PowerBI and the process for transforming unprocessed data into actionable insights.

This pathway will prepare you for entry-level data roles including Data Scientist, Data Analyst, Data Engineer and Data Architect.

Included courses

Data: Data Foundations thumbnail
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Accreditation #8903

Data Foundations

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Duration: 20-30 hrs
Prerequisites: NIL

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This is the first course in a three-part course series comprising of Data Foundations, Data Analysis with Excel and Data Visualisation with PowerBI.

In this course, you'll learn how to:

  • Plot and optimise graphs using good visualisation principles
  • Interpret basic descriptive statistics
  • Understand and plot frequency distributions
  • Use and adapt pivot tables
  • Understand variants and measures of central tendency
  • Understand misleading statistics and how to avoid them
Difficulty: Beginner
Assessments: Formative quizzes
Data: Data Analysis with Excel thumbnail
ANSI National Accreditation Board - Accredited - logo
Accreditation #8903

Data Analysis with Excel

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Duration: 40-50 hrs
Prerequisites: Data Foundations

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The course will provide you with the core skills required to transform unprocessed data into insights that enable decision making.

With the mantra 'learn by doing', this course teaches the fundamentals of data analysis through interactive and practical content.

You will walk away from the course with the ability to apply statistical analysis to real-world problems using Excel.

Difficulty: Intermediate
Assessments: Quizzes & graded assessment
Data pathway - Reporting in Power BI

Reporting with Power BI

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Duration: 10-15 hrs
Prerequisites: Data Foundations

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This course will teach you how to turn raw data into actionable insights using Power BI and build rich, interactive reports that inform business decision-making.

Students will learn to:

  • Connect data sets from a range of sources
  • Design engaging visualisations
  • Clean, transform and model data
  • Build reports and dashboards
  • Tell a compelling story with data
Difficulty: Intermediate
Assessments: Formative & summative assessments
Data: Data Visualisation with Power BI thumbnail
ANSI National Accreditation Board - Accredited - logo
Accreditation #8903

Data Visualisation
with Power BI

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Duration: 20-30 hrs
Prerequisites: Data Foundations, Data Analysis with Excel 

The Data Visualisation with Power BI course will empower you with the core skills required to visualise data into insights that can enable decision making.

With the mantra 'learn by doing', this course teaches the fundamentals of data visualisation through interactive and practical content.

Difficulty: Intermediate
Assessments: Quizzes & assessment
Data: Data Visualisation with Tableau thumbnail
ANSI National Accreditation Board - Accredited - logo
Accreditation #8903

Data Visualisation
with Tableau

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Duration: 30-50 hrs
Prerequisites: Data Foundations, Data Analysis with Excel 

The Data Visualisation with Tableau course will empower you with the core skills required to visualise data and enable better decision making using Tableau.

In this course, students will learn:

  • Building visualisations and dashboards in Tableau
  • Analysis over time and in-table calculations
  • Correlation, including correlation plots and scatter charts
  • Storytelling with data
Difficulty: Intermediate
Assessments: Quizzes & assessment
Data: SQL for Data Analysis and Development thumbnail

SQL for Data Analysis
and Development

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Duration: 20-30 hrs
Prerequisites: Data Analysis with Excel recommended

This course introduces the use of structured query language (SQL) for data analysis and software development in an interactive environment.

Difficulty: Intermediate
Assessments: Formative assessment tasks
Data: Introduction to Data Engineering thumbnail

Introduction to
Data Engineering

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Duration: 20-30 hrs
Prerequisites: Data Analysis with Power BI recommended

This course is for those that are interested in pursuing the software engineering side of data. In large organisations, data doesn’t come in a single excel spreadsheet or CSV. Databases tend to consist of complicated models of data tables and their relationships. Data engineers choose how to structure data within an organisation.

In this course you will learn: 

  • The language of data engineering 
  • The basics of databases and how they are managed
  • The basics of data modelling
  • Common issues encountered by data engineers
Difficulty: Intermediate
Assessments: Quizzes & assessment

Ready to begin the Data pathway?

Solve complex problems with data
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Data pathway in action

Considering data analysis can be quite broad in terms of what is it you are trying to answer, the courseware provided a good base for understanding the data and drawing conclusions. I think it's hard to teach people how to ask questions that the data can answer, or put another way, how to understand what questions you should be asking.
Michael K
Data Analysis with Excel
This course was so much fun! (Especially after doing Excel). Each of the lessons were done well and explained in depth but without going too far. It was also clearly stated when there might be a potential problem due to version differences etc. I was also impressed with the install guides for people who might not be as tech savvy. Overall very happy.
Cody S
Data Analysis with Excel
Prior to each lesson, the lesson content was adequately introduced along with the revision of previous lessons. Source material was provided in order to enable the learner to follow along. Quizzes not only engaged but also assisted in understanding the lesson objective. I feel prepared as I now have an understanding of the approach I will need to take to resolve tasks and to continue learning.
Naruhn C
Introduction to Data Engineering
April Chaisson - Capstone video

Capstone

Data analysis with April Chaisson

April completed WYWM’s Data Analytics learning pathway and is now employed by the Canadian Government as a Data Analyst. Watch her Capstone presentation analysing a public health dataset.
Watch the presentation
WYWM Javiera Soto

Military spouse success

Javiera Soto

Javiera found opportunity in adversity, reinventing herself from paediatric nurse to organisational leader and finally as WYWM’s Regional Vice President of Oceania.
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Babou Jobe - User Success

Veteran success

Babou Jobe

WYWM's psychometric and aptitude tests confirmed that Babou was a strong candidate for many of the same IT industry roles he had been seeking out for two years.
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