Nikhara Inderlal
Nikhara is a passionate mathematician and statistician living in Sydney, Australia. She graduated from Macquarie University in 2022 with a Bachelor of Science Degree, Majoring in Mathematics and a Minor in Statistical Modelling.
She began sharing her interest in data and statistics while teaching at Macquarie University for 2 years, training students on using Excel for Hypothesis Testing, Data Visualisations, and Linear Regression as a teaching associate for Business Statistics students. She also worked as a Research Assistant and Lead Sessional at Macquarie University, where she worked with professors to handle student queries, content creation, delegation, and management and worked on an in-depth Literature Review for a Research Project.
Nikhara joined The Data School as a data analytics consultant to expand her technical skills and explore the exciting nature of creating stunning visualisations that provide detailed insights.
Her hobbies include baking, playing the piano, creating digital art, and designing, which allows her creative nature to shine. She also enjoys swimming, outdoor walks, and yoga.
Visualisation Best Practices for Tableau or Power BI – Part 3
Welcome to the final part of this series of the ‘Visualisation Best Practices for Tableau or Power BI’ tutorials. If you have been following along my series of blogs, you should be familiar by now with planning to create your first visualisation and the four Ws that...
Visualisation Best Practices for Tableau or Power BI – Part 2
Welcome to the second part of my series on the 'Visualisation Best Practices for Tableau or Power BI'. If you haven’t already had a look at Part 1 of this series, click on the link below.Otherwise, we will be picking up where we left off - understanding pre-attentive...
Visualisation Best Practices for Tableau or Power BI – Part 1
Welcome to my first tutorial on the best practices for visualisations. Whether you’re creating your first visualisation (viz) on Tableau or on Power BI, these key tips and lessons are applicable to you. We use visualisations to better understand data by mapping out...