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What is Data Analytics?

At its core, Data Analytics is all about solving problems using Data.
Transforming raw data into insights that enable decision making or increase understanding.
Transforming data includes cleaning or cleansing the data to make it usable. Insights are the “why” - it’s the valuable information that wasn’t immediately obvious unearthed by the analysts. These insights must be relevant and actionable.
Throughout the WYWM Data Pathway you’ll be introduced to the 4 step data analysis process as shown below:

Your course journey

The Data Analyst pathway will provide you with the core skills required to transform unprocessed data into insights that can enable decision making. With the mantra 'learn by doing', the courses in this pathway teach the fundamentals of data analysis through interactive and practical content.

Data Foundations

Welcome to the Data Foundations course!   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

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Data Analysis with Excel

The Data Analyst course will provide you with the core skills required to transform unprocessed data into insights that can 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.   In this course, you’ll learn how to:   

  • Solve problems using data by utilising the 4 step Data Analyst method
  • Transform and manipulate data, including cleaning and joining
  • Conduct exploratory analysis to identify trends in data
  • Calculate measures of spread, measuring an individual value against the whole
  • Deliver a practical assignment using real world data
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Data Visualisation with Power BI

The Data Visualisation with Power BI course empowers students 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. In this course:

  • Visualisations and Dashboards in Power BI
  • Correlation, including correlation plots and scatter charts
  • Advanced visualisation with Bubble plots and aggregated scatter charts
  • R and Python visualisations
  • Text analysis with wordclouds
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Data Visualisation with Tableau

The Data Visualisation with Tableau course empowers students 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. In this course:  

  • Building visualisation and dashboards in Tableau
  • Analysis over time and in-table calculations
  • Correlation, including correlation plots and scatter charts
  • Presenting data including storytelling with data
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SQL for Data Analysis and Development

This course introduces how to use SQL for data analysis and software development in an interactive environment (learn by doing). This course is great for those on the WYWM Data Analyst Course.

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It takes
140 hours
to become a Data Analyst.

What can you do with Data Analytics?

Among other things, you can apply the skills learnt during the Data pathway to build interactive dashboards and visualizations.
Below is an example that you’ll learn how to build within the Data Visualization with Power BI course.

Job outcomes

Australia
USA
Canada
$83,162
Average salary
33,432
Total job openings
Common job titles
Data Scientist
Data Analyst
Data Engineer
Data Architect
Top skills in demand
1. SQL
2. Microsoft Excel
3. Python
4. Tableau
5. SAS
$63,162
Average salary
33,432
Total job openings
Common job titles
Data Scientist
Data Analyst
Data Engineer
Data Architect
Top skills in demand
1. SQL
2. Microsoft Excel
3. Python
4. Tableau
5. SAS
$73,162
Average salary
33,432
Total job openings
Common job titles
Data Scientist
Data Analyst
Data Engineer
Data Architect
Top skills in demand
1. SQL
2. Microsoft Excel
3. Python
4. Tableau
5. SAS

Meet the intructors

Meet our instructor team.  They are here to help, get in touch if you have any questions.

Jimmy Wynen

Jimmy is a past Technical Consultant with advanced skills in Data Analytics, with Microsoft certifications in Excel and Power BI. Jimmy is passionate about telling stories through data and excels at translating detailed information into easy-to-understand steps.

Discord ID: Jimmy (WYWM)#2071
Location: AUS

Julian Malisano

Julian is a former Materials Scientist turned Data Analytics Instructor. He earned his PhD from the University of Oxford where he subsequently worked in research and teaching. Through his research he has developed an in depth experience in analysing and interpreting complex data.

Julian is passionate about redefining the education system to make learning data & tech skills accessible to all.

Discord ID: Julian M (WYWM)#4713
Location: EU (CET)

Lachlan Vaughan-Taylor

Lachlan has a masters degree in particle physics research. He worked on the Belle II particle collider collaboration, running energy calibration of the detector that measures the asymmetry between matter and antimatter. He also loves 1980s Sci-Fi movies.

Lachlan has a fascination with big data, statistics and machine learning, and believes in breaking down the barriers to understanding the world of data. 

Discord ID: Lachlan(WYWM)#6998
Location: AUS

Join our community

We have a Discord server where you’ll be able to chat with your instructors and cohort. Stay active in your learning!
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