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Tag: how to become a data analyst

Magic off the Pitch: Role of Data Analytics in Cricket!

Posted on by Imarticus Learning

Cricket with 1.5 billion followers makes it one of the most followed sports in the world. Many followers of the sport have their favorite team, and they always try to predict the outcome of the match, considering some factors they know.

Various factors like a home ground advantage, experience of the players, performance at the specific avenue, performance in the past matches, the current form of the team and the players, and performance against a particular team decide the game’s result.

With some minimal imagination and minute calculations, we can’t predict the outcome successfully. But research has grown beyond our imagination. Many data science courses have been designed to predict the results based on previous data.

best Data Analytics courses in IndiaArtificial intelligence and the best data analytics courses with placement in India have become trendy and started presenting their significance in many sectors. Sports are also included in those sectors. NBA, Soccer, Baseball, and Cricket are such sports that use data analytics to make informed decisions.

Cricket is a game that generates enormous data because it is the game played by 106 member nations of the ICC, and many players are involved in it. This data is helpful for the teams to make the most out of the matches.

Selection of the players, order of batting, order of the bowling, field placements, and many more decisions taken by the experts or captains of the team depends on the analysis of the data generated. Followers may not know that there is an expert team of data analysts behind every successful match. The perfect combination to win a game is technology integrated with 100% effort of the players on the ground.

We need to remember an exciting line that ‘Data Never Lies’. We can definitely get some valuable inputs by analyzing the data. Data analysts consider many different stats to predict the fate of the tournament. This predictive analysis helps the team to strategize and plan the game accordingly. Sponsors too depend upon the data analysis. Search for how to become a data analyst now and build your career in the sports industry.

 

 

Here we are addressing some essentials of data analysis.

  • Captains can make crucial decisions with ease

Cricket is a dynamic sport, and many critical situations would arise during the game. A captain can then rely on data science to make a perfect decision in those moments. Data analytics can help the bowlers and batsmen increase their performance. Data science focuses on implementing machine learning and predictive modeling in the sport. These applications can turn losing matches into wins. We can analyze the performance of the batsmen and the effectiveness of the batsman against a bowler.

  • Improving the performance of the player

We can analyze the player performance using past data. We can see the number of dot balls, the number of yorkers bowled by a bowler, how effective they are against batsmen, etc. With regards to batsmen, we can watch previous deliveries and where he fails to connect. All these types of analysis can be helpful in building training modules for the players.

  • Keeping cricket fans engaged

We have to accept that without fans, no sport would survive. Spectators and fans keep the heat high with the data available with them. Fans get engaged with cricket because of the data analytics tools and knowledge. There are instances where final scores are predicted with the help of data analytics.

How to become a data analyst?

  • A bachelor’s degree in an area that emphasizes statistical and analytical skills, such as math or computer science, is an excellent place to start.
  • Learn how to solve problems by registering for data science courses or a data analytics course.
  • Consider certification.
  • Get your first work as a data analyst at an entry-level position.
  • A master’s degree in data analytics is a great way to advance your career.

Top Big Data Analytics Challenges in Health Insurance!

Posted on by Imarticus Learning

Have you ever wondered that by the end of 2025 there will be more than 200 Zettabytes of data available in global cloud storage?

This ever-increasing data is either available in an unstructured or semi-structured form. The health insurance sector is one of the major contributors to this global data.

The rapid digital transformation of the insurance sector is powered by artificial intelligence, machine learning and predictive analysis. Big data in the field of health insurance has started playing a crucial role.

In order to transform the unstructured data into a structured one, organizations need detailed algorithms. Trained professionals from the field of data analytics can build and apply these algorithms in a strategic way to make the best use of the data.

Big Data Analytics Courses in India

There are no two ways that data analytics is transforming the insurance sector at a much faster pace, yet the unique nature of the health insurance market poses many challenges to meeting the requirements. If you are looking to make your career as a data analyst in the health insurance sector, you should first understand some major data-related challenges existing in the health insurance sector.

In order to facilitate flawless services, two major challenges faced by the health insurance sector are Regulatory compliance and data integrity.

Regulatory Compliance

Most of the challenges in any process which is governed by rules and regulations majorly set by the state are the matter of regulatory compliance. Even the slight shift in the set of the state and the federal regulators may result in a major shift in terms of execution and thus always having a close eye on the latest developments has become the need of the hour.

One such regulatory Act in the health insurance sector is the Health Insurance Probability and Accountability Act (HIPAA). Despite the understanding of HIPPA’s privacy policies, very few insurers are aware of its data security and protection.

For example, e-PHI contains the electronic records of personal health information as guided by HIPAA’s security rule book. These guidelines ensure the insurer will maintain the confidentiality of the data they receive through e-PHI.

In order to safeguard crucial and confidential data, insurers need to identify and protect the data from potential threats and need to ensure that the entire workforce during execution follows all the compliance.

Data Integrity

Data integrity is not a very new challenge, many solutions to it exist, but the lower standards in terms of quality can cause major issues.

The main challenges related to data integrity lie in the health reports of patients. To deal with these challenges, special data understanding is required. In addition to this, the nature and scope of the patient-provider relationship lie in precisely capturing the events such as illness, diagnosis, prescription, claims, etc.

The problem lies in identifying the policyholders who are not in active engagement with the insurers. Another related problem lies in identifying the policyholders who stop filing prescription-related claims.

What would a Data Analyst do to overcome these challenges?

Big Data Analytics Course in IndiaIf you are looking for some data analytics courses in India, to build your career as a data analyst in the health insurance sector, you can contribute at every stage, right from data mining to data architecting to statistics.

Data analysts design the required infrastructure that suits the organizational requirement of data integrity and compliance dynamics. Data analysts play a crucial role in designing independent systems which help them analyze the data, engineer the data and eventually get the best out of the data.

To get a clear sense of what data analysts do, we should see data analysts as data architects, data scientists, data engineers, and statisticians at different phases of the project.

If all this information regarding big data in health insurance has piqued your interest, you must research more about the data analytics courses in India which would provide you with the next steps to get that much closer to becoming a full-fledged data analyst yourself.

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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.