1. Which one is easy to learn- Full Stack Web Dev with Web3.0 or Full Stack Data Science? 2. Why should a Data Scientist learn Web Dev with Web3?

1. Which one is easy to learn Full Stack Web Development with Web3.0 or Full Stack Data Science ???

Web3.0 and Data Science are emerging as among the most popular technology trends. It is an undeniable fact that every company needs to have secure records of financial transaction data. Simultaneously, the need to expand the services and products of a company through targeted advertisement is fulfilled by the application of Data Science.

Let us learn more about these vital technological applications and compare them:

Blockchain vs Data Science

Though Blockchain is considered to be a recent technological application, it could be described as the missing piece of the puzzle. The reason is that since Blockchain entered the digital world, its direct impact is seen in the transaction systems across all the domains. Blockchain is a concept used in many other fields as well. The reason that makes the area unique is that it works on the principle of the? Consensus Problem.

Coming to Data Science, this field deals with analytics. It means the discovery, interpretation, and communication of meaningful patterns in data. Finding solutions to a problem by analyzing a large amount of data to bring out efficient products and services to clients. Problem-solving abilities have always existed, but with the help of computational power, there has been a significant boost to evaluation solutions for Marketing, Finance, Human Resources, Health Care, Government Policy,s and every possible industry where data gets generated.

Difficulty Level:-

Honestly, Nothing is difficult if you have that consistent motivation to learn. If you are inquisitive, nobody can stop you from learning the skills. A Non-coding background guy can also be a data scientist as well as a web developer or a blockchain developer. Everything requires proper planning, hustle, and patience.

You can't start directly blockchain or web3.0 before understanding web1.0 and web2.0. Similarly, You can't start directly creating models without an understanding of maths and statistics.?

If you are from a coding background, web development might be easier for you because you are already familiar with logic, data structures & algos, and complexities.

If you are from Non-coding background, web development might scratch your heads up as you have to learn various languages at a time and practice. So, best you should learn a user-friendly language that's python and SQL and work on your coding skills. Once you learn these, you will be completing 40% of Data Science. Rest depends upon you, whether you are going for stats or maths for being a data scientist or analyst or Web Development for a web developer.

Once you get your first job, things will be much easier while upskilling. So, Trust me you are your best guide. Before choosing the right course you should analyze what you want. So, the Difficulty level depends upon the mindset you have while starting the course.

Where to Learn:-

In my honest opinion, I would like to suggest AlmaBetter's curriculum for both the courses. Not only I'm an employee here, but also I was a student here. Even if, I'm upskilling myself doing Full stack web dev with web3.0 course. As a student POV, everything is well structured and organized at AlmaBetter. Industry oriented curriculum for both the courses has been designed by experienced SMEs while students are mentored by experienced professionals from various industries and MNCs. Almabetter is an institution that is student-friendly with zero upfront fees. You will have to pay a minimum security amount and once sign ISA your security amount will be refunded and you only pay once you will be landed on a job with the promised threshold placement package by AlmaBetter.

Explore here:

i. Full Stack Data Science: https://www.almabetter.com/courses/full-stack-data-science

ii. Full Stack Web Development with Web3.0: https://www.almabetter.com/courses/full-stack-web-development-with-web3

2. Why should a Data Scientist learn Web Development including Web3.0?

1. It will be much easier to go for a Web Development course as you are already familiar with coding, clouds, and deployments. You are already familiar with basic HTML and CSS to build flask, Django, or streamlit web apps.? Rest you just need to learn JavaScript which is much similar to Python and just different in syntaxes but the logic building will be the same. Once you learn JS, it will be much easier for you to explore Tensorflow.js, D3.js, and charts.js which are amazing libraries that will boost your Data Science practice.

2. After getting into the Data Science field, you will be analyzing, and building models & ML pipelines. Now if you want to freelance, you are independent. You can easily create models as well as build the frontend side and easily deploy on AWS or any cloud.

3. Upskilling is good for your professional career. Continuous learning will diversify your thinking and approaches to any problem statement. Improves creativity and self-satisfaction.

4. As AI/ML and web3.0 are the future, so you should start adapting these from a very earlier stage. And imagine where you will be when these technologies and research will be at their peak.

5. Data Science/AI and Web Development with Web3.0 are the two sides of a coin. Keeping the whole coin makes sense. It would be great if you add some more coins of AR, VR, MR &NR which will complete your wallet. Your wallet will be precious.

6. You will always be a researcher. You will be curious and ingenious about building anything from scratch.

7. You will have more control over your portfolio always.

8. You will be technically more proficient.

9. The four pillars of any organization are product, marketing, operations, and Ground Level Client experiences gained from the past as well as learning from past failures. Having multiple domain knowledge will not only help you in building or associating with any startup but also help you to understand any process much easier.

10. For More, Refer:?https://www.educba.com/data-science-vs-web-development/

Thank You!