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Tag: Data Analyst Career

What is the Technical Data Analyst Skillset for The Digital Enterprise?

Posted on by Imarticus Learning

As data science is regarded as the “new oil” for the technology industry, there is a surge in the demand for skilled professionals. Data Analytics is finding its application in nearly all aspects of life, from education to healthcare, social media, e-commerce, and fintech, to mention some. As a professional, data scientist plays a pivotal role in the business ecosystem and influence business decisions.

data analytics coursesAnalytics, in general, has three important components – business context, technological intentions, and data science.

Data science is a broad term that encompasses different expertise like research – both operations research and statistical research, machine learning algorithms, and deep learning.

No matter which aspect of data science are you planning to focus on, you need to understand the key skills that make up a good data analyst. Read on to learn about the skills you need to excel in a data analyst career.

MS Excel

One of the most widely used app for data visualization as well as financial, statistical, and mathematical calculations, excel is the basic tool one needs to master while looking for a career in data science. The pivot tables are one of the most popular tools used in data analytics. Charts are excellent tools for data visualization. Slicers and filters allow organizing data while the formula-based techniques are great for creating aggregate reports, while other features like Vlookup help process a large number of data bits into a well-organized structure, enabling easy comprehension.

Data Warehousing

In simple words, data warehousing involves the collection of data, organizing them, and storing them. Data analysts and projects managers are usually responsible for data warehousing, where they handle the safekeeping of the data, ensure that the privacy rules are strictly adhered to, and monitor them. Data analysts should be able to integrate the data collected from different sources, analyze and create analytical reports, and support decision-making.

Data Retrieval Skills – SQL

The Structured Query Language (SQL) is used to connect with the database. Whether updating a database or retrieving data from it, SQL is the standard language used by Relational Database Management Systems (RDMS).  SQL skills are mandatory if you wish to have a career in Big Data. However, learning SQL is simple, even non-technical people can learn it. It has become a basic skill used in many organizations to create, maintain and modify database structures and storing the collected data.

Coding and Programming Skills

Data analysts should master coding and programming to practice their knowledge. You don’t need to be a hard-core programmer, but you need to know the basics and should be comfortable with coding and programming to excel in this role.

While the primary responsibility of a data analyst is to analyze the data and derive meaningful insights from the, understanding the concepts such as functions, loops, if-else, and programming logic would be an advantage while dealing with a large amount of data.

Artificial Intelligence (AI) and Machine Learning

AI and machine learning help enhance data analytics. When you prepare a machine learning algorithm and provide it with a model, it gives you an output based on the model provided. For instance, if you train a machine learning algorithm and provide it with a predictive model, it will provide you with predictive analysis based on the data feed.

There is no absolute definition of skills needed to excel as a data analyst. Most data analyst courses cover the basic skills needed to secure a data analyst job. There is a buzz about big data and its application. Almost all industries are espousing data analytics. As technology improves, there could be overlaps in the job role, or the job roles could encompass wider aspects of data science. The better skilled you are the more are the chances to excel in a data analytic job.

The Job Roles of IoT Specialists And Analysts Will See A Surge In The Near Future

Posted on by Imarticus Learning

The Internet of Things, also known as IoT, refers to the technology that allows different devices to connect and interact with each other virtually. Recently, IoT technology has become highly popular. The Bluetooth speaker you listen to music on or your smartwatch that connects with your smartphone are all examples of IoT at work.

From smart homes to industrial applications, IoT has many uses in our daily lives. That’s why the demand for IoT specialists is increasing rapidly.

Demand for IoT specialists is on the rise

India’s first semi high-speed train, the Vande Bharat Express utilizes an IoT-based system for mitigating collisions and thus, avoiding accidents. Its IoT system allows it to avoid accidents caused by equipment or human error.

Another similar user of IoT in India is Tea Tantrum, a tea supplier company. It uses IoT to check the moisture and ingredient ratios in its products. These are some of the many examples of how India is using IoT technology.

India’s IoT market is expected to reach $15 billion by 2020, making up for around 5% of the total global market. Currently, there are around 120 companies in the Indian market that offer IoT products or services. This number is also expected to rise as the number of IoT start-ups will increase in India.

Data AnalystWhat does all of it suggest?

It suggests that IoT career opportunities in India are on the rise. As the number of organizations that utilize IoT technology increases, the demand for IoT specialists will increase accordingly. Companies want experts who can identify their unique business problems and formulate IoT solutions that match their requirements.

How to capitalize on IoT career opportunities

As the demand for IoT experts is rising at a rapid pace, now would be the perfect time to pursue a career in this field. So, you might wonder, “How do I pursue a career in IoT?”

It’s quite easy. You should look for data science courses. Taking a data science course in India will help you learn the necessary concepts for becoming a professional in this field. Reputable data science courses teach you job-relevant skills such as Tableau, PowerBI, Python, Hadoop, Python, and R.

Learning these skills is vital as they help you keep up with the industry’s demands and stay on track. If you want to start your career early, then you can join a data science course with placement assurance. A data science course with placement assurance will get you a job right after you complete the program. You can kick-start your IoT career right away.

Another huge advantage of such courses is they offer you industry-endorsed curriculums and experiential learning (bootcamps, projects, and much more), allowing you to learn quickly and efficiently.

Conclusion

Online classesThe demand for IoT professionals is rising constantly. You can capitalize on this opportunity by taking relevant courses and becoming a certified professional in this sector.

To become an IoT professional, we recommend taking a data science course in India. If you’re interested in pursuing a career in this field, then check out our data science course.

 

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With Jobs at Risk, can a Career in Big Data Keep You Safe?

Posted on by Imarticus Learning

Data powers the information economy just like oil powers industrial economy. No wonder they say, “data is the new oil”. A critical asset to many industries, data science and AI changed the way information is gathered and processed. Even when COVID-19 hit the global economy, leading to job cuts and hiring freeze, data science remained unaffected.

While companies do not debate on the importance of data science, collecting and storing the huge volume of data was a big challenge. With limited capabilities, companies had a big struggle to maintain and process data. However, AI and cloud-based technologies provide a solution to this problem. These technologies have created better job opportunities for data professionals than ever before. If you are aspiring for a data analyst career, there isn’t a better time than this.

Why Big Data?

The world is consumer-centric and will remain so despite the hard hits on the economy. Consumerism is the driving force that creates revenue, and job opportunities. From healthcare to e-commerce, all industries are data-driven. The data requirement changes from one business to another, from one company to another. But the enormous amount of unstructured data can be collected using various tools and techniques, organized and structured according to the business needs.

No matter the business is consumer data is vital to all businesses. The tech giants like Google, Amazon etc, and the social media giants like Facebook have been using the potential of data to achieve a competitive advantage over their rivals. And the result is pretty much evident. They are far ahead of their competitors.

What is common among all of them is that they collect large swathes of data regarding their customers – right from what products they buy, which products they ditched after adding to the cart, which posts get better engagement, how long does a person spend time on their webpages – every single move of their customer after arriving on their website is tracked, processed and analyzed to make better business decisions.

The global health crisis saw the extensive application of data, how it can be used to manage a crisis better. From contact tracing, health screening and mitigating the spread. Many apps were developed to help contain the spread, leveraging the GPS to identify the COVID-19 hotspots.

The Increasing Demand for Data Scientists

COVID-19 has indeed changed the way the world functions. With more people staying indoors, individuals flocking the internet also increased. From work to shopping, everything is being done online. And this has increased the requirements for data scientists. While many companies struggle to acclimatize and manage their current employees logging in from a remote place, Tech firms are out with a pressing need to recruit more talents.

With more students and professionals active online, the need for online tools and platforms is growing, and this has led to the demand for an intense expansion of their talent pool.

AI and cybersecurity talents are the most coveted as many companies need technical support in digitizing their businesses. This calls for the improvement of data security measures and to enhance automation to reduce the on-site manpower.

Firms that rely on AI-powered software and those which provide such platforms are on a lookout for technical talents including software engineers and data analysts. Furthermore, financial services companies are also gearing up to become market-ready when the economy reopens. They have started headhunting for people with risk management and data analytics skills to cater to the recent spike in digital banking and online payments activities.

Data Science Online CourseData science is one of those areas not affected by COVID-19. In fact, the pandemic and the enforced stay-ins have resulted in an increased demand for data scientists. If you are a new graduate, take this opportunity to make the most out of the current market situation.

Enrolling in a Big Data Analytics Course could help you land on a lucrative career in data analytics and big data.

Does Companies Hire Data Analyst Freshers? What Are The Criteria For Selection?

Posted on by Imarticus Learning

Data Analysis is a science of collection of data and converting it into useful information in order to develop a better business strategy. Data Analyst training involves the learning of the required tools and language, a well-developed analytical sense and statistical knowledge.

This is quite crucial in the fast-paced world we live in today. Here the role of a data analyst is vital, as various business plans are structured based on the findings. Defining a certain range of products, the customers’ needs and current demand, various trends in market strategy and the areas of improvements required. 

While the field of data analysis might appear to be quite sophisticated, surprisingly, there is a wide chance for the freshers to acquire a job in the relevant company. Having a high GPA from a data analysis program is quite helpful for a basic-level job as a data analyst.

For the others, a basic degree in Statistics, Mathematics, Economics from a well-known University is also acceptable for a Data Analyst career in the beginning. For a fresher to land a job in data analysis, a bachelor’s degree is mandatory. As you proceed up the hierarchy of the job ladder, you will be paid in better terms. For this, you might want to get a master’s or a doctoral degree in Data Science or Business analytics. 

So, once you have understood that being a fresher is not a hindrance in your quest for a data analyst career, there are a few skills to develop as well:

 

  • High-Level Skills in Mathematical Ability

 

At the entry-level job, good maths skills can be quite impressive. Statistics and grip over formulae are necessary for translating the data analyzed into a real-world value system. In short, Maths helps you interpret your results to a more common language. This holds true, for a data analyst as well. When it comes to calculating compound Interest, statistical measurement, and depreciation. Also, as a fresher, the college-level Algebra is of huge help in making the visualizations more attractive.

 

  • Learning Programming Languages

 

For a better chance of a data analyst career, it is important to be well-versed in at least one programming language. These include Python, R, C++, PHP, MATLAB, JAVA.

However, the more programming languages you know, the better are your chances at a good job. 

 

  • DATA Manipulation and Management

 

One of the major skills as a successful data analyst is to be able to build relevant queries in order to extract the required data. For this language such as R, HIVE, SQL are essential. Also, having the skills to develop relevant reports after data analysis is a crucial aspect of the job. Data analyst training at various reputed institutes like Imarticus Learnings helps the freshers with such tools, languages, and programs.

 

  • Communication Skills

 

Just like all reputed job profiles, excellent communication skills are important and required for a stint towards a data analyst career. When dealing with clients, executives and experts, you should be able to ‘communicate’ your ideas the right way. 

Being a fresher is not a problem. In fact, it is an asset, as you are brimming with ideas and are enthusiastic about your goals. With the right kind of skills, there is no stopping your race to excellence.