Q. What is a Data analyst?

Ans: The data analyst checks out the worth of the data and its significance in getting insights about potential users and the company’s customers. This data works as great information and solves the company’s problem. Thus, we can say that data analytics is a great method of analyzing or examining the data, to make conclusions that are dependent on the information received from specialist software. Applicants who pursue data analysis courses, examine and do statistical examinations on huge data.

So, if you are one of those, who want to explore more information about data analysis, its role, job description, and future scope then, you are most welcome to read out this knowledgeable article and dive into it for gaining information. 

Q. What is the role of a Data Analyst?

Ans: The role of a Data Analyst starts with collecting and cleaning data, to find out the patterns and market perspectives.  Individuals who wish to do this amazing course have the opportunity to use business intelligence software like programming and Tableau to create dashboards and design and do management of systems and databases for various departments throughout their organization. The job of Data analytics is very crucial, they identify the organizational goals and targets and work in coordination with executives, IT managers, and data scientists. 

Applicants who choose data analytics as a career path have to analyze and find out the outcomes by using statistical methods, and techniques in collecting and gathering data from primary and secondary resources.

Read: Top Universities in India 2023: Rankings, Admissions, Placements & Courses

Q. How to Become a Data Analyst? – IIRF

Ans: There are four steps to follow to become a Data Analyst

1. Qualify 10+2
2. Entrance Exams
3. Pursue Bachelors course
4. Post Graduation

1. Clear 10+2: Applicants for pursuing this course, have to complete their 12th in Physics, math, chemistry, and computer science. It is mandatory to get 50% aggregate marks from a reputed board. This is just the beginning of pursuing the course.

2. Entrance Exams: Many universities and colleges conduct entrance examinations to give admission to applicants who dreamt to become data analysts. Applicants have to appear for the exam and qualify for it. But there are some universities and colleges that offer admissions based on the 12th percentile. The most popular entrance exams are JEE Mains, JEE Advanced, BITSAT, and SRMJEE.

3. Pursue bachelors course: Students who wish to get a position as a Data analyst in the organization must complete their bachelor’s degree after the 12th to make a career. Some of the prominent Bachelor’s degree programs are:

 4. Post Bachelors: After applicants are done with a bachelor’s degree program with flying colors, they have options to lead their careers as data analysts. Check out the below two options.

Read: Top MBA Colleges in India 2023: Rankings, Admissions, Placements Courses & Fees

Option 1: Once students are done with their graduation degree, can get entry-level data analyst jobs. After having a few years of experience, he/she can go for pursuing a master’s degree in the same specialization.

Option 2: After the successful completion of a bachelor’s degree in Data Analysis, the applicants can go for a master’s degree without any academic year gap and then work in the organization at an entry-level data analyst job position.

Major master’s degrees are:

Data Analyst Salary – IIRF

According to the market reports, the Data Analyst’s Salary is based on experience and qualifications.

Career as a Data Analyst

Data Analyst is undoubtedly a respectable position in the organization! The individual holding a position is in demand in every business sector. The position enhances the career, as data analysis is needed in every business and thus has a bundle of employment opportunities. The data analyst’s salary is quite impressive and tends to rise with experience. Applicants must get a certification or an executive program from India’s top school as it will give them golden opportunities. A data analyst has a chance to explore different job opportunities in the industry in the areas: sociology, business intelligence, statistics, computer science, and communication. The analyst to gain success, must work with the project manager and assist them in project preparation. With this expertise, the business analyst will get promoted to a higher level as a senior business analyst after gaining certain qualifications.

Read: Top Engineering Colleges in India 2023: Rankings, Admissions, Courses, & Fees 

Q. Do you love to be a Data Analyst?

Ans: Do you have passion and love for numbers? If “yes”, you can think of pursuing a career in Data analysis. Data analysis is one of the trending courses that need creativity and technical skills. The course will give knowledge about the life and journey of being a data analyst and enhances your ability to discover and analyze data as well as let you visualize the data exploration. Finally, you will learn to discover trending data skills.

We hope this article assists you with the best! Tell us your views about opting as a Data Analyst. Write down your thoughts in the comment section. We wish you all the luck to hold the position of data analyst.

The post Role, Qualifications, Salary, Career Opportunities, and More – Data Analyst – IIRF appeared first on IIRF.

These days you can find the use of Machine learning everywhere. When you use chatbots, language translation applications, recommendations on social media feeds, and suggestions of shows on OTT, it is all because of the machine learning algorithm.

Functions of machine learning

In the form of AI, Machine learning teaches computers to think like humans, learn from past experiences and improve with time. It analyses data and identifies patterns of human behavior and includes minimum human involvement. The companies are going for automation through Machine learning algorithms and transforming processes that were earlier only possible by humans to perform.

The three main functions of Machine learning include:

• Descriptive – the system uses the past data to describe what happened
• Predictive – the system uses the past data and predict what will happen
• Prescriptive – the system will use the data and prescribe the best suggestion

Usage of machine learning

In today’s fast-paced world, machine learning has emerged as a revolutionary technology that has helped businesses increase efficiency and accuracy and decrease wastage of resources.

• It is used to automate tedious manual tasks like data entry, fraud detection, customer service, product recommendations, etc.
• Machine learning is useful in speeding up processes in organizations and reducing manual workloads.
• It can do a meticulous analysis and detect minor patterns that human eyes may miss.
• Image recognition and face recognition are also great features developed by machine learning. It helps in recognising the face of any person and sending the information related to that person.
• Voice recognition is another interesting feature of machine learning that helps in developing virtual personal assistant (VPA) applications. Amazon echos, google homes, Google Allo, etc. are some of the examples of voice recognition technology.
• Machine learning is very useful in the stock exchange industry too. A large number of trades are now reliant on this technology without human interventions.
• It keeps an eye on activities like money laundering and helps companies to check a large number of day-to-day transactions and ensure secure transactions.
• This technology is proved to be crucial in the healthcare sector. ML technology is immensely helping in tracking and diagnosing any chronic diseases. Online remedies, doctor consultation, and prescription facilities have become possible with the integration of ML techniques.
• Machine learning has taken multi-tasking of machines to a next level by applying intelligence to complicated tasks and making them simple.
• These algorithm-based intelligent machines are being used in almost every field to reduce human errors and enhance accuracy.
• These are some of the most popular uses of machine learning algorithms but their uses are not restricted to only these activities. It is widely used for multiple purposes by different industries.

Career Scope

The field of Machine learning offers lucrative job opportunities and skilled professionals are in high demand in the local and global market. If the terms algorithm, automation, and data evaluation trigger your mind and excite you to explore these areas then machine learning is the right career choice for you.

The job market for machine learning is in a nascent stage and evolving but we can find some prominent roles that several organisations are offering. Listed below are some of the specialised roles for which machine learning experts are required:

• Data Scientist
• Machine Learning Engineer
• Machine Learning Researcher
• Data Analyst
• Data Architect

To build a career in machine learning, you can study computer science, software engineering, statistics, deep learning, and humanities. Following are the must-have skills for a successful career in this field:

Required Skillset

High-skilled professionals can earn good salary packages. As per payscale data, the average salary of an ML engineer in India is approximately Rs. 6.5 lacs. The world is turning towards these past-paced technologies. Be it a big corporate or start-up, every company is offering almost all sorts of job roles with attractive salary packages.

The scope of machine learning is wide and its relevance is massive. It is aggressively being adopted by various sectors like retail, transportation, healthcare, and financial services in India. Hence, the future is promising in machine learning and will bring more interesting as well as challenging opportunities in the time to come.

Also Read: Top Universities in India, Top MBA Colleges in India & Top Engineering Colleges in India

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