Veronika Varaksina
Meet Veronika, a dynamic and adaptable individual with a diverse background in economics, accounting, finance, and data analytics. Veronika pursued a Bachelor’s degree in Economics and gained valuable experience in financial analysis, budgeting, and forecasting while working for five years in accounting and finance. However, she soon realized her passion for data analytics and decided to pursue a postgraduate degree in Analytics at Victoria University. Throughout her academic journey, Veronika honed her skills in data visualization, statistical modeling, and machine learning. Her expertise earned her a spot in the highly competitive Data School program, where she further continues to expand her skills in data analysis.
Dashboard Week: Day 5 – Grand Prix
The final day of Dashboard week presented us with a new set of data on the Grand Prix. As someone who knows next to nothing about car racing, I was initially intimidated by the dataset. However, I decided to take on the challenge and began by asking chat GPT some...
Dashboard Week: Day 4 – Happiness Index
Today's challenge was centered around World Happiness Data and Power BI. The data provided was a good starting point, but I felt it was essential to look for additional data sources to contribute to the analysis. After conducting some research, I discovered...
Dashboard Week: Day 3 – Trees in Melbourne
Today's challenge was to find data that we were interested in and create a data story that would help make a certain decision. For my project, I chose to focus on trees in the Melbourne CBD area and examine the percentage of allergenic trees in comparison to the total...
Dashboard Week – Day 2: APRA Superannuation
This week, our team has faced the challenge of analyzing superannuation data. Although I initially found learning about space to be intense, I soon realized that working with this complex data was an even greater challenge! Given the tight deadline of only 6 hours, I...
Dashboard Week – Day 1: SpaceX
Although I am not a space enthusiast, I found myself challenged this week with a SpaceX data project. I dove into the abundance of data available in the API, but was initially overwhelmed and unsure where to begin. To gain some direction, I started by exploring the...
Timeboxing – essential part of any project!
Hello there! It's great that you're interested in using timeboxing to stay focused and avoid procrastination. Here are some tips to help you manage your time more effectively: Create a list of prioritized tasks and assign a difficulty level from 1 to 5 to each task....
8 Tableau Training Preparation Tips & Tricks
Here are some additional ideas to make your Tableau training session even more effective: Use real-life examples and case studies to illustrate how Tableau can be used in practical situations. This can help the audience understand the value of the tool and how it can...
Build radar chart by using Tableau: 12, 8 or 6 measures
Radar charts, also known as spider charts or web charts, are useful for visualizing and comparing multiple quantitative variables. They are especially helpful for showing how different variables compare to one another relative to a common scale. Here are some of the...
Data Normalization: Using Python & Alteryx
One way to scale features for machine learning and for some visuals is through a process called "min-max normalization" or "min-max scaling". This process recalculates all the values of your variables so that they fall within a certain range, usually between 0 and 1....
Tableau challenges to add to your Tableau Public (Categorized by theme and difficulty)
Participating in Tableau Workout Wednesday is a beneficial practice for several reasons, like: Develop and practice new Data Visualization Skills: by participating in these challenges, participants can improve their data visualization skills and learn new techniques...