Sawan Arora, a student of the online Agile Business Analyst & Scrum certification course talks about his experience at Imarticus.
We caught up for a chat with Sawan Arora, a student of the online Agile Business Analyst & Scrum certification course. Here’s what he has to say about the program.
Hi, my name is Sawan Arora, and I have recently completed the Agile Business Analyst & Scrum Prodegree at Imarticus Learning. The course curriculum is excellent and includes business analysis, agile & scrum, project management, and additionally, you get access to a lot of SAP instructional videos.
Initially, I was a bit nervous about joining an online Agile & Scrum certification course because I was not sure how it would be in comparison to a classroom training program. But as soon as the course began, and I attended the sessions, it turned out to be a smart decision, and it was a significant step towards my career goals.
The faculty at Imarticus is definitely at par; no exceeds industry standards. The knowledge level they have and their skills are excellent. I was trained by Mr. Mukhraj Saberwal, who has over 18 years of experience. His lectures were terrific, and all his sessions were very interactive. The entire class would interact with him extensively, and there were a lot of queries and doubts that we used to pass on to him.
It was just like we were in a classroom training program because whenever we asked any questions, he was prompt in his response.
There is a lot of good content to learn and knowledge to gain during these 160 hours of training, and you get access to an LMS portal from Imarticus that has all of the learning material on it. You can access it anytime, anywhere as long as you have a decent internet connection. LMS was an essential aspect of the learning journey.
On completion of the program, you get 35 PDU’s from IIBA, and that makes you eligible for the CCBA or ECBA exams if you have the required experience. The course in all really helps you know the skills a business analyst should have – you get a good exposure of agile and scrum methodologies, and hands-on knowledge of project management.
So, no matter if you are an experienced professional or a fresher, if you want to learn business analysis, I would highly recommend you join Imarticus Learning.
Not to forget, you also receive access to Imarticus Learning’s placement portal where you can find a job on completion of the course.
Do you want to kickstart your career as an Agile Business Analyst or Scrum Master? Click here and inquire about the program now.
Day: May 18, 2019
How is Big Data Analytics Used For Stock Market Trading?
How is big data analytics used for stock market trading?
Big Data Analytics is the winning ticket to compete against the giants in the stock market. Data Analytics as a career is highly rewarding monetarily with most industries in the market adopting big data to redefine their strategies. Online stock market trading is certainly one area in the finance domain that uses analytical strategies for competitive advantage.
Capital market data analysts are important members of a corporate finance team. They rely on a combination of technical skills, analytical skills and transferable skills to compile and communicate data and collaborate with their organizations to implement strategies that build profitability. If you’re interested in a career in financial analysis, there are several subfields to explore, including capital market analysis.
Organizations and corporates are using analytics and data to get insights into the market trends to make decisions that will have a better impact on their business. The organization involved in healthcare, financial services, technology, and marketing are now increasingly using big data for a lot of their key projects.
The financial services industry has adopted big data analytics in a wide manner and it has helped online traders to make great investment decisions that would generate consistent returns. With rapid changes in the stock market, investors have access to a lot of data.
Big data also lets investors use the data with complex mathematical formulas along with algorithmic trading. In the past, decisions were made on the basis of information on market trends and calculated risks. Computers are now used to feed in a large amount of data which plays a significant role in making online trading decisions.
The online trading landscape is making changes and seeing the use of increased use of algorithms and machine learning to compute big data to make decisions and speculation about the stock market.
Big Data influences online trading in 3 primary ways:
- Levels the playing field to stabilize online trade
Algorithmic trading is the current trend in the financial world and machine learning helps computers to analyze at a rapid speed. The real-time picture that big data analytics provides gives the potential to improve investment opportunities for individuals and trading firms.
- Estimation of outcomes and returns
Access to big data helps to mitigate probable risks in online trading and make precise predictions. Financial analytics helps to tie up principles that affect trends, pricing and price behaviour.
- Improves machine learning and delivers accurate predictions
Big data can be used in combination with machine learning and this helps in making a decision based on logic than estimates and guesses. The data can be reviewed and applications can be developed to update information regularly for making accurate predictions.
In a nutshell, large financial firms to small-time investors can leverage big data to make positive changes to their investment decisions. Information is bought to the fingertips in an accessible format to execute trading decisions.
If you are a trader, you will benefit from a Big Data Analytics course to help you increase your chances of making decisions. It is highly beneficial for those involved in quant trading as it can be used extensively to identify patterns, and trends and predict the outcome of events. Volume, Velocity, and Variety are the pillars of Big Data that aid financial organizations and traders in deriving information for trading decisions.
What technical skills are needed to become a Blockchain developer?
Blockchain technology has drawn much interest and is being adapted into every vertical like banking, Fintech, accounting, cryptocurrencies, the stock market, and real-estate segment, because of its efficient record keeping in distributed ledgers with transactions that are safe, secure and efficient.
There is no third-party involvement anywhere in the process and records can be viewed by the public, building a trustworthy secure payment system.
Opportunities abound, and many Fortune-500 companies like Capgemini, IBM, Accenture, etc. are headhunting. Indian salaries range according to Glassdoor in the range of Rs19 to 21K in India for fresh candidates and Rs 288 to 313K for the experienced at higher levels.
Technical skills required:
Code:
Blockchains run on code and is essential for logical interpretations and quantification.
Programming languages:
Blockchain technology uses languages like OOPs, flat and relational database and procedural language. Also required would be programming languages like C, JavaScript, and C.
The architecture of blockchains:
Essential knowledge here would be the Bitcoin whitepaper, consensus, cryptographic hash functions, and distributed ledgers in blockchain fundamentals, its architecture and working. Decentralized architecture also means inexpensive perfect coding, MVC, Document-view, MVVM, fundamental communication architecture, G and bus architecture, and convention theory used for decentralizing the architecture and a fair understanding of fundamentals of distributed and centralized networks.
Structures of Data:
Knowledge is required of data structure like Stack, Merkle trees, Patricia trees, advanced cryptography and a large number of data structures, Queues, LinkedList, Tree, Hedera HashMaps, etc. is essential to understand how the language, technology, and data structure works.
Cryptography:
Methods of advanced cryptography like the hash functions ( KECCAK256, SHA256, etc.), sound knowledge of data structures, and a digital signature generating asynchronous cryptography are a must.
Development of Smart Contracts:
Functionalities of smart contracts to enable the business logic application of the blockchain, and specific network languages like Ethereum’s Solidity, Chaincode, Viper, etc.
Platforms and frameworks:
Coding for platforms like HashGraph, Hyper Ledge, Ethereum, EOS, etc.
Web-Development:
To develop applications that are de-centralized, both front and back application development including handling APIs, Dapps based interactive GU interfaces, handling requests, etc.
Smart Contract enablers:
Truffle suite installation and working on Mac, Windows, and Ubuntu.
Passion and technical skills will need to be combined. Read and learn about the history besides making a portfolio of small projects using the blockchain technology. You could also hone your skills at a reputed institute which is quite advantageous to you. A good blockchain training course will necessarily focus on a global curriculum; hands-on practical and project work which will help you build your industry and vertical relevant portfolio. Follow the protocol, do your fintech course at a reputed institute like Imarticus, learn at your convenience and get set to be career ready as a blockchain developer. The more you research, the better you learn. Continue enhancing your GitHub profile, attend the hackathons, and never quit.