Data Science is a popular field today, but it’s important to Understanding Data Science and the Role of Data Analytics what it is, especially if you are just starting. Data Science means working with a lot of data to find useful information and make better decisions. It includes topics like statistics, computer programming, machine learning, deep learning and creating charts or graphs to explain data.

Where Does Data Analytics Fit In?

Data Analytics is a part of Data Science and is a great place to start your learning journey. It helps you look at raw data to find patterns and solutions. Understanding Data Science and the Role of Data Analytics, If you are new to this field or working in an entry-level job, you should begin with:

Excel and Macros: Excel is a versatile tool used for organizing, cleaning, and analyzing data. It helps in sorting and filtering data, performing calculations with formulas, and generating summary reports using pivot tables. Macros in Excel automate repetitive tasks, saving time and reducing errors. Learning Excel and Macros provides a strong foundation for handling structured data, making it ideal for beginners in data analytics.

SQL (Structured Query Language): SQL is a powerful language for managing and querying databases. It allows users to retrieve, update, and manipulate data stored in relational databases. With SQL, you can perform operations like filtering specific records, joining tables, and aggregating data to gain insights. Mastering SQL is essential for working with large datasets and building efficient data workflows in analytics

BI Tools (Power BI, Tableau): Business Intelligence tools like Power BI and Tableau are used to create interactive dashboards and visualizations. They enable users to present data insights clearly, making it easier for decision-makers to understand trends and patterns. These tools support features like drag-and-drop interfaces, data blending, and advanced calculations, empowering analysts to tell compelling stories with data.

These tools are easy to learn and very useful in real jobs. You can learn programming languages like Python or R later when you have more experience.

The role of a Corporate Trainer?

Data Analytics is used in real businesses, so learning it from a corporate trainer is better than a classroom trainer.  Also learning from a corporate trainer ensures that your skills are job-ready and aligned with real-world requirements.

Corporate trainers teach you skills that companies need, like:

  • How to solve real problems with data.
  • What tools and methods businesses use every day.
  • Practical knowledge, not just theory.

This will make you ready for jobs and help you work confidently in the corporate world.

My Journey as a corporate trainer

With 17 years of experience in the industry, I have trained more than 100 companies and thousands of professionals in Data Analytics, Power BI, SQL, and other related skills. Since founding my training agency Webs Jyoti in 2009, I’ve been focused on delivering corporate-level training designed to equip individuals with the tools they need to succeed in their careers FIA Global CARS24 Boston Scientific Yaskawa India Private Limited BEUMER Group Pinlabs DCM Shriram LTD Experion Developers bigbasket.com

If you want to start a career in Data Analytics or improve your skills, I can help you with training that is simple, practical, and job-ready! https://exceltraininggurgaon.in/index.php

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