In today’s fast-paced world, Data Analytics is crucial for making smart decisions and driving business growth. But extracting valuable insights quickly isn't just about using AI—it all starts with mastering the basics. A solid foundation in Excel, like advanced formulas, pivot tables, and Power Query for transforming data, is key. Pair that with a strong understanding of business math (percentages, growth rates, and statistics), and you’ve got the building blocks for effective...

Explore our guide to choosing the right Data Analytics Bootcamp in 2025 that fits your career goals and learning style, and jumpstart your data analytics career.

With businesses relying heavily on data professionals to make sense of the massive amounts of information they collect, two career paths have risen to prominence: Data Analysts and Data Scientists. 

Imagine being able to switch to a field with endless growth opportunities, where data is the key to driving decisions. Data analytics is doing just that—transforming careers for people from all walks of life. And if you’re looking to transition into data analytics or upskill in this thriving field, Codebasics’ Data Analytics Bootcamp 5.0 is your gateway.

This guide will break down complex concepts like data modeling, denormalization, normalization, fact and dimension table, and star and snowflake schemas. By the end of this blog post, we will have a solid foundation of these concepts and their practical applications and use cases.

Data Analytics jobs are expected to be growing at about 31% by the end of this decade. This high market growth is backed by an increase in the launch of AI initiatives, implementation of big data technologies, and prioritization of data-driven decision-making.  

The modern Data Analyst in 2026 uses much more than Excel and SQL. Today's analytics workflow combines spreadsheet tools, programming languages, BI platforms, cloud data warehouses, AI assistants, version control, and basic data engineering tools. The goal is no longer just to create reports but to deliver reliable, automated, and actionable insights.

Whether you are a data analyst who prefers structured data to analyze information or a data scientist who likes to process raw data, your choice of organizing data matters.

Discover how diving into data analytics can open doors to exciting job opportunities and pave the way for a rewarding career. Read on to find out how embracing the world of data analytics can empower you to make data-driven decisions and transform your professional journey for the better!  

It often feels like stepping into an entirely new world that requires a different skill set. However, the reality is that you already possess a wealth of transferable skills and knowledge that can make this transition much smoother. 

In this blog, we'll explore how Facebook collects and utilizes user data to its advantage, from data collection methods to targeted advertising. Join us on an eye-opening journey into the realm of Big Data and Facebook's unrivaled dominance in the social media landscape.

Are you someone who is interested in making a career in the data world? Then, you might be already learning data centric tools that help you analyze or visualize the data.

In this blog post, we will explore the top industries where data analysts are in high demand and offer valuable advice on remaining competitive in the constantly evolving data analyst job market.

Through this blog, we'll explore AI’s involvement in data analytics, benefits, and challenges, and investigate how tools like ChatGPT can offer valuable support to data analysts. Let's begin this journey to understand why AI is a game-changer for the future.

Is becoming a data analyst still worth it in 2026?Yes—but only if you prepare for how the role actually works today, not how it’s marketed online. Data analytics remains one of the most reliable entry points into the broader data and AI ecosystem. However, the expectations from data analysts have evolved significantly. Companies no longer hire analysts just to generate reports or dashboards. They hire professionals who can understand business problems, work with imperfect data, coll...

Data is everywhere, and it's shaping the way we make crucial decisions. But how do we make sense of all this information? While entering the data industry, we are often encouraged to learn software languages like SQL and Python and learn to code efficiently.

Zomato uses data analytics and AI to power every stage of its food delivery ecosystem from recommending restaurants and predicting demand to optimizing delivery routes and detecting fraud. By leveraging machine learning, real-time data, and predictive analytics, Zomato ensures faster deliveries, personalized user experiences, and efficient operations at scale.

Discover how Uber uses real-time data analytics, predictive supply management, and machine learning to balance supply and demand at scale and what businesses can learn.

In 2025, a compelling data analytics portfolio is more than just a collection of projects—it's your ticket to standing out in a competitive job market. Whether you're a fresh graduate or a career changer, showcasing your skills effectively can make all the difference. Here's a step-by-step guide to building a portfolio that resonates with hiring managers and aligns with the latest industry trends.

Being a data analyst isn't just about crunching numbers and running reports. It’s about thinking critically to break down complex business problems and deliver actionable insights that can impact decision-making. Whether you're trying to optimize customer engagement or improve business processes, the data analytics process is essential for success.