Mastering Window Functions in SQL with Examples
When it comes to writing efficient SQL queries for data analysis, one feature that often sets professionals apart is their command over window functions. If you’ve ever faced challenges calculating running totals, rankings or comparing rows within a group. This blog will help you master window functions in SQL with clear explanations and real-world examples….
Pandas vs Excel: Why Pandas is the Future of Data Manipulation?
When we think of working with data, one tool that almost everyone is familiar with is Microsoft Excel. It’s simple, visual and great for basic calculations, making reports or analyzing small datasets. But as the world of data grows bigger, faster, and more complex, there’s another tool that’s taking the front seat: Pandas – a…
How to Handle Missing Data in Pandas Efficiently?
If you’ve worked with real-world data, you already know it’s far from perfect. Incomplete records, blank cells or missing values are common. Whether you’re dealing with sales figures, customer feedback or financial reports. Thankfully, if you’re using Python’s Pandas library, there are several practical ways to handle this messy side of data. How to Handle…
What is Data Analysis: Learn How to Derive Key Insights from Your Data
In today’s digital world, we are surrounded by data—be it from apps, websites, social media, online shopping or even our fitness trackers. But raw data is just a bunch of numbers or text until we give it meaning. That’s where data analysis comes in. Data analysis is like solving a puzzle. It helps you turn…
How to Make Your Data Science Portfolio – A Hands-on Guide
In today’s competitive job market your resume alone isn’t enough especially if you’re aiming for a career in data science. Employers don’t just want to read about your skills. They want to see them in action. That’s where a data science portfolio comes in. It’s your chance to showcase real-world projects, highlight your technical abilities…
Top 5 Data Science Skills Trending in 2025
Data Science has become the fastest growing field in recent years. Every business, small or large is leveraging data to make decisions, predict the future and grow. However in 2025, it won’t be enough just to know basic coding or analytics. You need to master the entire data pipeline and understand how data flows, transforms…
25 Common Business Analyst Interview Questions and How to Nail Them
Business Analysts (BA) play a pivotal role in helping organizations bridge the gap between complex data and strategic business decisions. As businesses increasingly rely on data to inform their decisions, the demand for skilled business analysts is at an all-time high. To succeed in a business analyst interview in 2025, you must be well prepared…
10 Python Tricks Every Data Analyst Should Know
You work with data all the time as a data analyst, cleaning, transforming, and gathering insights. Python is an effective tool for all of this, and you’ll work more efficiently and effectively if you have knowledge of its hidden advantages. 10 Python Tricks Every Data Analyst Should Know Let’s go over ten essential Python tips…
How to Automate Boring Tasks Using Python?
We all have recurring, time-consuming, and, let’s face it, lifeless tasks. Tasks that utilize your time and leave you worn down consist of renaming hundreds of files, copying data from spreadsheets, scraping data from websites, and sending out typical emails. The bright side is that you can automate several of these tasks in Python, freeing…
Top 32 PySpark Interview Questions and Answers for 2025
What is PySpark and why is it Important? In today’s data-driven world, companies generate massive volumes of data every second. To process such huge datasets efficiently, we need a tool that is fast, scalable, and reliable. That’s where Apache Spark comes in — a powerful open-source engine for big data processing. PySpark is the Python…