Career in Data Science

It has been a tradition that every IT engineer is being a java developer. Let’s break this tradition and learn something absolutely new. Everyday, technology is changing expeditiously. Data Science is a trending technology in IT. The dimension of a career is changing with respect to technology. A career in Data science is the right choice for freshers because Data science is ruling the Internet and it is on the top list of trending technologies. Data Science is recent in all the technologies. This blog “Career in Data Science” gives new dimensions to your career and it will help you to think outside of the box. A career in Data Science is a new opportunity for you all. Every fresher seems in a dilemma which domain should choose for their lucrative future. Mainly, Fresher wants to open better opportunities in the IT industry to start their career. In this blog, I am going to give you brief information about what is a data science and data scientist – their role, challenges, skills everything briefly about a career as a data scientist. Let’s see then. What is Data Science? Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, structured and unstructured, similar to data mining. Data Scientist is the person who is mainly responsible for managing and organizing the data which is useful for business purposes. Data architect, data mining engineer, data scientist, business analyst – these designations are under data science. We will be going to discuss data scientist. Role of Data Scientist “A data scientist is someone who is better at statistics than any software engineer and better at software engineering than any statistician”.  – Josh hWills Data scientists take a huge mass of structured and unstructured data and apply their analytics, statistics, and programming skills to clean, organize and manage the data. They use all their analytical abilities to find out solutions to all the issues. Data scientists are big data wranglers. Data scientists are the artist of data. They play with the cluster of data for cleaning and managing them and after organizing it, they transfer them into a good data format. Data scientists analyze, often called big data, which is gathered from various sources. Mainly in Data science, there are two types of data: structured data and unstructured data. Structured data – It is related to relational databases (RDBMS). Data like text strings having variable lengths like names are in records. Data like phone numbers or ZIP codes. Data may be human or machine-generated as long as the data is created within an RDBMS structure. Structured data is organized; it’s easy for engineers to work on it. Unstructured Data – Unstructured data rapidly growing form of big data. Unstructured data includes Text files, Emails, Social media posts, websites, and Media like audio, video, etc. This data is complex so it is difficult to sort. Data scientists have to manage this huge, both structured and unstructured, data and transfer them into useful data. It will give the best solutions to business issues. Thus, in this way, they help to generate more revenue for the company. Skills Required for Data Scientist For being a data scientist, you must be strong in technical skills first we see technical skills. You must be strong in Analytical and statistical problem-solving skills like you should be good in Math Statistics Data mining Data cleaning Machine learning tools and techniques Data visualization Python (most common), C/C++ Java, Perl Big data platforms like Hadoop, Hive & Pig Unstructured data techniques SQL databases and database querying languages Software engineering skills Cloud tools like Amazon S3 Problem-Solving: You have to face high-level challenges in the future so for that, you have to be good in problem-solving skills with the use of proper time and the right human resources. Communication: You have to deal with both technical and non-technical people. At that time, your communication should be in a comfortable language that they can understand. Skills: You must be enthusiastic about finding a creative and easy way to solve different kinds of problems. Knowledge: Understanding and knowledge of your own field are very essential. Because on the basis of your knowledge you are going to take the decision and it should be right. Then only, you can give a more effective solution to your business. Challenges Faced By Data Scientists Finding Issues – A Data Scientist has to handle a huge amount of data. So, it’s really difficult to identify the accurate issue. First, they gather all the huge data from various sources then they examine it properly. Easily they do not get the issue. They apply their proper algorithm and effective techniques for identifying the issue. After analysis, they find some glitches in it. Then they start working on it. Data Cleaning –According to the research, cleaning the data improves the company’s revenue. Because of the huge data, they have to clean it in a range of terabytes of data before the analysis so you can imagine how much it gets challenging for them to clean that huge range of data. Data Security – In today’s techno Savoy world, data security is a big issue. Since data is extracted through a lot of interconnection like the internet, different social media, and other sources are connected because of this connection, the chances of hacking increase. The question arises about data security due to some confidential data. Data scientists are facing obstacles in data extraction, and building algorithms. Lack of domain expertise- Data scientists must be good at technical and business skills. They must have deep domain knowledge and expertise. One of the biggest challenges for them is to apply domain knowledge using different algorithms to business solutions. Data scientists are connecting threads between IT and management. Domain expertise is required for their better performance. Opportunities for Data Scientists Data Science career opportunities will be at peak level. Huge demand for data

Data Science & The Online Gaming Industry

The online gaming industry is expected to grow at a compound annual growth rate (CAGR) of 40% to $2.8 billion by 2022, up from $1.1 billion in 2019, according to a Deloitte India report. With more than 2 billion users and growing every year, the online gaming industry offers huge potential in the field of Data Science. Let us look at this from a little futuristic perspective. The gaming industry has gained popularity over the years. In 2020 when the lockdown offered many people a chance to stay home, this further opened up many users to online gaming. Data Scientists analyze the data presented by the growing multitudes of users. In Data Science, a vast array of data points are analyzed on various metrics such as predictability analysis, user interaction times, quitting time, incentive buying, activity peak points, scores, and many other facets. Data scientists also are involved in game design as they have an analysis of the performance of the game based on the UI-UX of the game. They mark large pockets of engagement or the lack of it when the change in the user interface has been introduced. Machine learning, algorithms, patterns of users, are also enhanced into the interface of the game by data scientists.  When certain user maps are formed as to how most users navigate through the game, they offer the company to incentivize through their user’s journey. Data Scientists thus assist companies to grow with variable inputs that can maximize a company’s earning potential. Over the years, the need for data scientists has increased. The gaming industry that is ever-growing every single day has a constant requirement for data scientists. The industry is divided by user preferences, time zones, geographies, spending habits, and age. ITPreneur offers a placement assured data science course that covers all the facets of analysis in the online gaming industry. The need for data scientists is ever-growing as the analysis and interpretation of data is widely used in various industries such as finance, telecommunications, internet, automotive, healthcare, travel industry, energy, manufacturing, and pharmaceuticals. The Data Science course designed by ITPreneur is built keeping in mind the industry requirements. The curriculum covers machine learning, statistics for data science, data visualization, core python, and data analysis basics with python. However, given the youth, that is anyways, interested in online games such as PUBG, Rummy, and Cricket, the course offers a palpable job in the gaming industries where there is an ever-growing need for qualified data scientists. The journey may be a little long, that is an interested candidate may have to spend a good four months to understand the nitty-gritty of the field. However, after extensive training and working on live projects, one does have the assurance of a job at the end of the course. While the online gaming industry is growing as we speak, we have also seen that a lot of students of ITPreneur enjoying great success in the jobs that they acquired post completion of their training. Want to learn more about how you can begin a career as a data scientist? Feel free to visit our website for more information.

Which IT Course has the Highest Market Value in 2021?

As per the revolution and increase in IT technology, there are various IT Courses Available for students, to grow their careers towards future success. IT Courses offer a chance to gain more knowledge and skills on a specific platform to the candidate. Candidates are looking for a career that rewards the right job with the best salary maybe even better. IT Certification courses help to access advanced training, information, and knowledge on updated tools, technologies. Also, Certification helps the employer, once candidates earn IT Certification; they can join a select group of individuals – a peer group with demo skills. If you are looking forward to going for an IT course with the highest salary or certification, we have listed some IT courses below that will be sought in 2021. Data Science: The data scientist’s role they fetch data, construct data, maintain a database and segregate the data for multiple needs. Also, work on Data Visualization and Analysis. The Skilled required: Statistical analysis Machine learning Computer science Programming Analytical Thinking Business acumen Data Science offers the 4 – 12 LPA to certified experts even if they don’t have any work experience. After 5 – 10 years of experience, the package will be 60 -70 LPA. This is the highest-paying job in India. The Avg. Salary in India: 9,50,000 Fullstack: Full-stack developers are responsible for all surfaces of development, from front-end to backend, database, and even testing and debugging. Once you get certified in all the database and frontend backend programming then you can secure your job with a high-scale salary. The Skilled required for full-stack Frond End : HTML, CSS, JavaScript, Angular, React Backend: Java, .net, Python Database: MySQL, Mongo DB, Oracle, SQL, PLSQL Full-stack developer freshers get a minimum 3.7 PLA salary, 1-4 years of experience will get 5.5 LPA and mid-level developers with 5 -9 years’ experience will get Appx. 13.7 LPA. Cloud computing: Cloud computing has the gaining momentum in India. It offers immense potential and benefits for all types of organizations. Also, certification in cloud computing enhances the skills required for deploying dynamically scalable and reliable applications. Skilled required: Technical Skills: HTML and computing fundamentals Business Concepts: Cloud engineers should know the terminologies such as ROI, marketing strategies land business plans. Data Analysis: Handled immense data and optimally use ERP systems. Data Security: Cloud computing also focuses on the security of data. Project Management: Knowledge of risk management, service agreements, and integration with other processes which are essentials. Salary for cloud computing 0-3 and 4-9 years of experienced has appx. 12 LPA and 17-19 LPA Respectively. Cyber Security: In the Digital World, with increasing cyber threats the cybersecurity jobs increasing in demand. This year Cybersecurity products and services are increases by 15 to 17%. The candidates with cybersecurity certification are more in demand. Skills required : Problem Solving Skill, SIEM Management, Analytics and intelligence, firewall/IDS/IPS skills, intrusion detection, Application Development Security, Advanced Malware prevention, Data management Protection, Digital Forensics, Identity, and access management. The Avg salary for cybersecurity for fresher will start from 4.5 LPA and for Experienced with 5 to 10 has approx.. 13-14 LPA. Blockchain: Blockchain represents critical industries like real estate, health care, insurance and now blockchain makes up a core part of the government project. Skills required An understanding of Blockchain architecture, data structures, distributed systems. Foundational knowledge in Cryptography and decentralized applications (DApps). Knowledge of web development and Smart Contract development. Good knowledge of Blockchain platforms like Etheruem, Hyperledger, Fabric, EOS, etc. The average salary for blockchain technology in India is 8.5 LPA. Salary will vary With your skills and experience. with the growing demand for ML, professionals will be the highest salary appro. 45 LPA. Artificial Intelligence : AI is the most growing technology and touching every aspect of business operation. So that the job opportunity in AL is high in demand. To Succeeding in this field you require perfects skills and knowledge. Skills required: Programming language Linear algebra, calculus, statistics Signal processing techniques Applied math and algorithm Neural network architectures The average salary of an Artificial Intelligent Software Engineer is INR 3.6LPA The average salary of an Algorithm Engineer in India is INR 7,32,301. Software Development: This will be the core of IT strategy. As a Software Developer, you might be aware of various programming languages and software development processes. There are so many IT training courses with a certificate that will open up opportunities in Software Development. Skilled Required: C++, Java, .Net, ReactJS, javascript, IOS, Android etc. The average salary per year in India: approx.5LPA Salary will vary with your experience and skills.   Conclusion: Technology has become very advantageous over the years, and all of this has been achieved through the countless Improvement of computer professionals. If you want to grow your profession with growing technologies there are many Job Oriented training courses with certification available. This is not only providing you high-quality training but also a 100% job guarantee with a good salary package. iTpreneur Data System is one of the best IT Training and placement institutes providing 100% job-guaranteed courses in Pune.