Finance, Tech & Analytics Career Resources | Imarticus Blog

Summary

Data analyst interview questions usually cover SQL, Excel, Python, statistics, data visualisation, Power BI and real-world problem-solving. You may be asked to write a query, explain how you would clean a dataset, interpret a statistical result, build a dashboard or work through a business case.

Freshers are often tested on basic concepts, projec...

Summary

A data science roadmap is a learning pathway that will help you make the journey from no to job in approximately 12 months. It begins with maths and statistics and then progresses to Python and SQL, data visualisation, machine learning and basics of generative AI, project and interview preparation. In this guide, you will learn how to build a complete data sci...

Summary

Statistical analysis is the process of collecting, organising and examining data to identify patterns, measure differences, test hypotheses and draw conclusions. Its main types include descriptive, inferential, exploratory, predictive and causal analysis. Common statistical methods include mean, median, standard deviation, correlation, regr...

Summary

Think of a tax audit as an official checkup for your financial books. Before you submit your taxes, a qualified accountant steps in to double-check that every rupee of income, expense, and tax deduction you’ve reported is completely accurate and legally sound. Tax departments require this checkup once a business or professional crosses a certain annual earning...

Summary

Dashboard design refers to how you arrange data on a screen so people can see the numbers that matter and know what to do with them. It covers the choice and placement of KPIs, charts, tables, filters and other controls. The work starts with a clear question: what does the user need to find here? From there, you choose the visuals, set their order and cut any...