Shrestha Academy

 If you are a college student or a working professional trying to switch careers in 2026, you have probably heard the same advice a hundred times: "Learn AI and Data Science." But here is the reality check that nobody tells you—getting started is incredibly confusing. When I first looked into it, I was bombarded with terms like Machine Learning, Neural Networks, Agentic AI, R, SQL, and Java. It felt like standing at the bottom of a massive mountain with no map. Today, I want to save you from that confusion. If you want to enter this field, there is only one clear starting point you need to focus on: Python for Data Science. Why Python? (And Why Nothing Else Matters Right Now) You don't need a computer science degree to understand Python. It is designed to read almost like plain English. But don't let its simplicity fool you—it is the exact same language powering billion-dollar AI tools like ChatGPT and high-frequency trading algorithms. To get a job in 2026, companies...

Data Science Projects for Beginners act as the ultimate proof of your technical abilities when applying for tech jobs in 2026. If you are a fresher or a professional looking to transition into the IT sector, simply listing "Python" or "Machine Learning" on your resume won't get you interview calls anymore. Companies want candidates who can solve real business problems, and the only way to prove you can do that is by showcasing a robust portfolio of hands-on projects. In this guide, we will explore how you can start building your project portfolio from scratch and where to find the best resources to guide your journey. Why You Must Move Beyond Video Tutorials Many beginners fall into the trap of endlessly watching coding tutorials without ever writing a single line of code independently. While tutorials are great for learning syntax, they don't teach you how to handle messy, real-world data. When you build your own projects, you learn crucial skills like: Da...

 If you are wondering how to become a Data Scientist in India without a CS degree , you are definitely not alone. Every single day, I meet bright graduates from B.Com, BBA, Arts, and Mechanical Engineering backgrounds who feel completely stuck. They look at the massive salaries in the tech industry, but their lack of a B.Tech in Computer Science makes them feel like the doors are closed. I am writing this post to give you a massive reality check for 2026: Those doors are wide open. The tech industry has changed. Companies are no longer blindly hiring based on college degrees. They are hiring based on skills, logic, and the ability to solve real-world business problems. Let me share exactly how you can make this transition, even if you have never written a single line of code in your life. 1. Stop Thinking Like a Software Engineer The biggest mistake non-IT professionals make is assuming Data Science is the same as Software Engineering. It’s not. Software developers build complex ap...

 Are you confused about the difference between Data Science vs Data Analytics ? You are not alone. When I first started looking into tech careers, these two fields looked exactly the same to me. Both deal with numbers, both pay incredibly well, and both are high in demand. But as I dug deeper, I realized they are two very different career paths. Let me break it down for you in simple terms. The Simple Difference Think of a business as a car. A Data Analyst looks at the dashboard and the rearview mirror. They tell you how fast you were going, how much fuel you used, and why the engine overheated yesterday. They use tools like Power BI and SQL to analyze past and present data. A Data Scientist , however, is building the GPS system for the future. They use complex algorithms and Machine Learning to predict traffic jams before they happen and suggest the fastest route for tomorrow. What Should You Learn? For Analytics: Focus on SQL, Excel, Tableau/Power BI, and basic Python. For Sc...

 Best Data Science Institute in Delhi — if you are a fresher or a student typing this into Google right now, I completely understand what you are going through. You want to learn Data Science, you know it pays well, you have seen the job postings, but you are stuck at one question — where should I actually learn this from? Delhi has dozens of options and everyone claims to be the best. So how do you decide? I was in the same position not long ago. I spent hours comparing institutes, reading reviews, asking seniors, and attending demo classes before I finally made my choice. In this post, I want to share what I learned during that research so it saves you time and helps you avoid the mistakes I almost made. The first thing I realized is that most institutes in Delhi are selling you a certificate, not a skill. They will teach you some Python basics, show you how to run a linear regression, give you a fancy certificate with a university logo, and call it a day. But when you go for a...

 If you are planning to start your career in the tech field, one of the first questions that comes to mind is about salary. Today, Data Scientist salary in India is one of the most attractive among all IT careers. In this article, we will understand how much a Data Scientist earns in India, how salary grows with experience, and what skills you need to increase your income. What is the Average Data Scientist Salary in India? The Data Scientist salary in India depends on multiple factors like experience, skills, company, and location. Here is a basic idea: Freshers: ₹4 LPA – ₹10 LPA 1–3 years experience: ₹7 LPA – ₹14 LPA 3–5 years experience: ₹14 LPA – ₹25 LPA Senior level: ₹25 LPA – ₹50 LPA+ This clearly shows that Data Science is a high-growth career option. Data Scientist Salary in India for Freshers For beginners, the Data Scientist salary in India usually starts from ₹4 lakh per year and can go up to ₹10 lakh. If you have: Strong Python knowledge Machine Learning basics Real ...