Data cleaning is one of the most time-consuming parts of data analysis. Learn how to use Claude to identify data-quality issues, create cleaning rules, write Python/Pandas code, and build a repeatable data-cleaning workflow.

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.

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.

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...

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...

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.

Artificial Intelligence (AI) is no longer a futuristic concept it's actively transforming industries, and data analytics is no exception. With AI making strides in data cleaning, visualization, predictive modeling, and more, a crucial question arises: Will AI impact the role of data analysts? As AI tools continue to evolve, many professionals in data analysis wonder how these advancements will affect their careers and workflows.

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.

Master Advanced Excel in 2025 with this step-by-step guide for data analysts. Learn Excel functions, automation, Power BI integration, and AI-powered tools.

Follow this Data Analyst Roadmap 2025 to master essential skills, build a strong portfolio, and land your first job in data analytics within months.

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.

Discover top data analytics tools for 2025, their key features, and how they can dramatically enhance data analysis capabilities across various industries.

Discover the top 7 data analytics trends shaping 2025, including AI integration and real-time analytics, to stay ahead in the evolving landscape.

Master 10 essential Excel tips and tricks for data analysts. Learn advanced pivot techniques, data cleaning & more to boost your analytical skills.

Discover the all-new Data Analytics Bootcamp 3.0, designed by experienced hiring managers to address common learning challenges and provide practical tools for career success.

Welcome to the Data Analyst Roadmap 2024 – your guide to mastering essential data analyst skills for a total beginner (no coding or computer science background needed).

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.

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.

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.