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Day: 19 June 2020

What is Blockchain Course?

Posted on by Imarticus Learning

Blockchain is a growing chain of cryptographically linked blocks or records that are resistant to modification. It records every transaction and thus, it is an open, transparent ledger of transactions between two parties. The sequential list of all the transactions is permanent, with each block linked to the previous block with a hash, timestamp, and details of the transaction.

This feature makes blockchain highly resistant to manipulation and attack. This explains why cryptocurrencies like bitcoin use blockchain to record transactions.

How Is Cryptography, Blockchain And Hyperledger Technologies Related?

Simply explained, cryptography is securing a private message to ensure its confidentiality. Only the intended person can read a cryptographically secured data. As a third party won’t be able to find the keys to decode the message, no one other than the intended people would be able to understand the encrypted message. It involves encrypting and decrypting content using various methods and encryption keys.

How to Become a Blockchain Developer?

The primary responsibility of a blockchain develops optimizes blockchain protocols, and to develop build smart contracts. To become a blockchain developer, you need to enrol in a blockchain course.

This is because you need to be adept at certain technical skills to become a blockchain developer. One needs to master certain concepts like cryptographic hash and distributed ledger etc. self-learning could be tedious, so it is always better to take up some blockchain courses to give a boost to the learning process. co

To master the blockchain development process, you should have a good grasp of data structures. Many blockchain developers explore tweaking data structures and combine them with cryptography to develop fool-proof and secure systems. Most popular data structures are Petrecia and Merkle trees. Data structure and blockchain are two inseparable concepts, and learning blockchain, beyond any doubt, is incomplete without having learned data structure.

You might have already understood the importance of cryptography in blockchain development. Cryptographic methods are used to develop digital signatures.

It is also used to develop crypto contracts or smart contracts, which is a computer contract that involves and controls cryptocurrency transactions under certain controls. Smart contracts became popular post Ethereum release. Most of the businesses

Smart Contract Development

Smart contracts caught attention post Ethereum release. Businesses across the world are now keen to integrate smart contracts into their systems to benefit from the application of business logic. Hence, developers striving to get into the blockchain field should learn about smart contract development. For this, you need to get a good grasp on languages such as Chaincode, Viper, and Solidity.

Web-Development
Another important skill to master as a blockchain developer, web-development involves the development of front and as well as back end functions including building interactive graphic interfaces. Blockchain developer should also be able to handle API and requests.

Let’s now have a closer look at the types of blockchain developers.
To understand what responsibilities do a blockchain developer handle, you need to know the various functions associated with it. Contrary to what you believe, the career possibilities of a blockchain developer are not only about building blockchains. There are multiple job layers.

Backend Developers
Common job roles of a backend developer are:

• Designing and developing Application Programming Interface (API) to integrate blockchains.

• Designing software and handling everything from testing to deployment and render technical support.

Blockchain Project Managers
Project managers are responsible for blockchain-specific, yet wider job roles. They need to handle a wide spectrum of responsibilities ranging from:

• Developing decentralized applications and maintaining them.
• Blockchain project supervision
• Advising on ICO structure
• Understanding the requirements and designing apps that could cater to their business requirements.
• Training of team members if required.

Smart-Contract Engineers
To become a smart-contract engineer, you need to know languages such as Solidity, Go and Python.

• Developing smart contracts and regular auditing to find loopholes
• Ensure security
• Conduct business process testing

Blockchain course helps you learn the basics of blockchain and cryptography. Training helps you decide which aspect of the technology you wish to focus on. There are a variety of courses emphasizing on various aspects of blockchain development.

To decide on which blockchain course to enrol, you need to decide on your career goal, what would you like to specialize in. Having clarity on your job expectations help you zero down on the best course.

5 Tips To Successfully Start a Data Science Job Remotely!

Posted on by Imarticus Learning

While the news of mass layoffs has inundated the market, certain industries continue to hire with one eye on the future. The data science realm is one such job market. Quite a lot about the recruitment and onboarding processes have changed; this makes transitioning into a new role a lot more complicated.

Keeping all this in mind, it is imperative that, as a candidate, you take things into their own hands. You can prepare an action plan to approach the first day of your remote data science career with enthusiasm– and this post will help you along the way.

Tip #1: Ask for A Preview of the Process

Proactively arm yourself with a blueprint of the onboarding process– this is especially relevant in current remote working scenarios. Depending on the job role you’ve been hired for, your onboarding process may be elaborate or short and snappy. Understanding what it will look like for you is a great way to avoid spreading yourself out too thin in the first few days or virtually walking in without a clue. It will also highlight any gaps you may need to fill in your skillset, in which case you might need to enrol in a data science course.

Tip #2: Reach Out to Your Teammates

It’s much harder than usual to connect with first-time teammates and colleagues in a virtual environment; however, since someone has to do it, it can be you. Not only will this allow you to establish your presence and role in the team, but it will also paint a favorable picture of you in times when first impressions are rather restricted to screens and voice calls. Try to gauge how best your team works, what communication tools they use and what they do outside of work. This personal rapport will go a long way.

Tip #3: Ensure You Have Continuous Access to Technology

Technology is the backbone of the remote working process– especially so for data science roles. Before your first day, it is a good idea to take stock of all the tools you have and how you can add to them if required. You can first start with hardware– laptops or desktops, sufficient working space, additional accessories– before moving on to software. If you find that you need something to perform your role, it is always advisable that you reach out to the onboarding team and see if they can help.

Tip #4: Be Forthcoming in Your Questions and Help

A virtual environment makes it significantly more difficult to read and react to facial or virtual clues. If you’re curious about something or don’t understand a task, it is best to be forthcoming about it. This tactic leaves no grey areas or causes for misunderstanding. Similarly, don’t hesitate to offer help where you feel like you have more to offer. This tip will make you a more valued member of your team as well as cement the skills and talents you bring to the table.

Tip #5: Weigh in Your Emotional Responses, Too

When starting a data science career remotely, it is easy to feel lonely and disconnected with your teammates despite working on the same projects. However, it is always recommended that you check in with yourself periodically and understand if you are adjusting. Reach out to colleagues to build a friendly rapport with them. Take time away from the computer and stick to strict work hours as much as possible so you don’t burn out.

Industries across the board have shifted operations to a work-from-home basis in order to cease the spread of COVID19. If you’ve been lucky enough to land a remote data science job, it’s best to head into it with a determined mind and an action plan in hand!