Trupti Dongaonkar
Trupti is an Electronics and Telecommunications Engineer and holds a Master’s in Business Administration. She has a previous background in sales, teaching and market research.
Trupti had a passion for numbers and statistics right from her school days which led her to pursue a career in analytics. She was delighted to discover The Data School which offers exactly the kind of strong foundation in analytics that an aspiring data analyst would dream of.
The only thing that comes close to Trupti’s enthusiasm for data analysis is her passion for cooking. She loves to cook various types of cuisines and specialises in creating fusion dishes which she experiments on her family. Besides cooking, Trupti also enjoys hiking and watching movies.
Corporate Social Responsibility Analytics
Corporate social responsibility in the supermarket industry involves more than just providing quality products and services. It includes a wide range of initiatives that address environmental, social, and ethical concerns. Supermarkets have a multifaceted...
Tableau spatial functions
Spatial data comes in a variety of different forms, of which the most common is in the form of latitude and longitude of a location. Means to analyze available spatial data add a lot of value to the analysis and give an added perspective to look into finding solutions...
Predictive Analytics
During our training at The Data School, we have done a variety of data analysis and visualisation exercises trying to solve a range of practical business problems. However, the task that may perhaps have challenged us the most was using predictive modelling to solve...
How to show/hide containers in Tableau to tell an effective story?
Tableau, being such a powerful tool for data analysis and visualisation, has many cool features that can be utilised to do an effective and efficient storytelling. Recently I discovered one such cool feature of show/hide containers to save space, and show...
Dashboard Week, Day 1: City of Melbourne, Customer Service Requests Analysis
Welcome to our Dashboard Week, Day 1. The task today is to analyse the City of Melbourne’s Customer Service Requests dataset and gain some insights. About the dataset: The customer Service Requests dataset is an open-source dataset from the City of Melbourne website....
Agile Retrospectives
Thomas Edison said, “there is a way to do it better - find it”. And what’s a better way to identify improvements than via agile retrospectives! At data school, we use agile methodology to plan and deliver our work. We apply the same principles while we are learning as...
Daily Stand-up
At The Data School, we follow agile methodology and use the Scrum framework to plan and deliver our work. At its core, Scrum is based on the principle of empiricism, and transparency, inspection, and adaptation are the three pillars of empiricism as defined by the...
How to get Alteryx core certified?
The Alteryx Designer Core certification exam is designed to test your knowledge of the basic tools in Alteryx Designer and to test your ability to solve problems using these tools. These basic tools consist of tools that are most often used to prepare and analyze data...
What is Cohort Analysis?
A cohort can be defined as the subset of a large set where the members of this subset have common characteristics. Mostly for business purposes, we put all the customers who joined in the same year/month/date in one cohort and analyze the behaviors of different...
Map Layers in Tableau
Geographic maps are very intuitive, visually appealing, and crucial for representing geo-spatial data in data analysis. There can be various uses of geographical maps such as analyzing and showing : population distribution sales and/or profits by region, country,...