Table of Contents
How can a fresher get higher packages?
Also read – How to Calculate Salary Structure for Freshers
- Data Scientist. On an average, a fresh college graduate who joins any company as a Data Scientist can earn 11.5 lakhs per year.
- Salesforce Engineer.
- Management Consultant.
- Commercial Pilot.
- Doctor.
- Civil Service Officer.
- Chartered Accountant.
- Merchant Navy Professional.
How much tax should I pay for 10 lakhs?
Tax rate for individuals (below 60 years) and HUFs:
| Tax Slabs | Tax Rates |
|---|---|
| Income up to Rs.2.5 lakhs | NIL |
| Income between Rs.2.5 lakhs and Rs.5 lakhs | 10\% of amount exceeding Rs.2.5 lakhs |
| Income between Rs.5 lakhs to Rs.10 lakhs | 20\% of amount exceeding Rs.5 lakhs |
| Income above Rs.10 lakhs | 30\% of amount exceeding Rs.10 lakhs |
Is 10lpa enough in Mumbai?
So, in answer to your question – yes, it is enough.
What is the 80/20 rule in Java learning?
You can easily adjust the well-known Pareto principle (80/20 rule) to Java learning. The “20” will stand for research and “80” for practice. This is not an exaggeration: you’ll need four times more coding than reading to memorize what you’ve learned and developed your coding skills.
How long does it take to learn Java programming?
Create an educational plan. Are you ready to make Java programming your profession? Then dedicate at least 2–3 (on the workdays) to 5 hours (on the weekends) to studying daily. In this case, you will likely need 3 to 6 months to prepare for a Junior developer position.
How much knowledge do I need to learn a programming language?
To estimate the scale and desired level of knowledge in a certain programming language, first of all, you should answer a simple question: why do you need programming? If you’re serious about coding and intend to become a Java developer, you’ll need to study every day for at least 4–5 hours.
How to learn to code in Java?
How to learn to code in Java: why you should and where to start 1 Learning without setting a specific goal. 2 An attempt to learn too many technologies at once. 3 Too much research and theory without practice. 4 Learning to code in isolation. 5 Being sure that one day you will fully understand all aspects of programming.