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Tag: data analytics career

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.

Join the latest webinar on this for FREE

https://imarticus.org/Learn-Data-Analytics/

What Are The Skills Required For Data Analyst?

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What makes you inclined towards Data Science? Is it the interest in data? Or the shining career in this field? Or the impressive salary package? Despite the reason, you have made a wise choice. The course, Data Science has become the talk of the town for the past many years, and it reflects through the increasing demand for a skilled data analyst.

People are signing up for the Data Science courses in India. They believe the transition to a career in Data Science means stable employment and a high-paying salary once you have a good command of the Data Analytics course.

You don’t have to be a coding expert to learn and practice data science. This article will walk you through the five important skills required to become an in-demand Data Analyst professional. So, continue reading!

Role Of A Data Analyst:

A Data Analyst typically looks at large datasets and using their skill set, transforms data into a simpler and readable form that tells the story of a business. They integrate external data sources with internal company information to see where the company’s growth opportunities are located.

The analyst’s work on data highlights the key component that leads to high efficiency and improves business.

A Data Analyst Mainly Requires To Do The Following Tasks: 

  • Designing a database that suits different modes of inquiry
  • Optimizing database performance for easier use
  • Organizing data in the form of a dashboard that provide high-level summaries
  • Looking for patterns in large sets of data using statistical techniques or other methodologies.

Do You Wish to Become a Data Analyst? Master The Following Skills: 

Critical Thinking: 

A Data Analyst has to go through every day’s challenges related to data. The answer lies in data itself. To become an Analyst expert, you have to analyze the data differently. Apply all the basic concepts that you have been imparted during your Data Analytic course. The more challenges you solve, the better Analytic you become. So, continue to work on critical thinking, and gradually you’ll enjoy working with data.

Data Visualizations & Presentation:  

The two skills are closely associated. In data visualization, you’ll practice telling a story from compelling data to engage the audience or other officials you are presenting your data report.

The data presentation skills improve over time. At first, no one comes with an impressive result. Its consistent work makes you a skilled Data Analyst who presents the data effectively.

Programming Language:  

SQL (i.e., Structured Query Language) is the top-most database programming language a Data Analyst must know and practice. It gives access to data and statistics, which makes it an essential resource for data science.

R and Python are raising their ranks after their prominent use in Data Analysis. Python supports important tasks like collection, analysis, modeling, and visualization of data.

Other important programming languages to practice for a would-be data analyst are Java, Javascript, C/C++, MATLAB, Julia, SAS.

Machine Learning: 

The Data Scientist must be well versed with machine learning for quality prediction and estimation. The skill focuses on building algorithms designed to identify data patterns that improve accuracy over time.

Microsoft Excel: 

Creating a spreadsheet in excel is the basic and most traditional approach used for data representation. Although SQL is used to retrieve and present data in Data Analytics, knowledge of traditional and widespread tools is essential. Some industries may require you to work through excel along with the Data Analytics tool. So, it’s better to be well aware of the Microsoft Excel tool.

Conclusion: 

The skills mentioned above are important and make you confident to begin your career as a Data Analyst. Over time, you’ll achieve mastery of these skills and have a shining career with an abundance of opportunities.

So, are you ready to achieve your goal to become a Data Analyst? Imarticus Learning promises you to support by providing the best suitable Analytic course that fits your career needs.

You can contact us through the Live Chat Support system or even visit one of our training centers based in Mumbai, Thane, Pune, Chennai, Banglore, Hyderabad, Delhi Gurgaon, and Ahmedabad.

Take That Next Step Towards a Rewarding Data Science & Analytics Career With These Analytics Courses

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Take That Next Step Towards a Rewarding Data Science & Analytics Career With These Analytics Courses

Are you interested in completing a data science course in India but don’t know where to start? Then you’ve come to the right place as we’ll discuss the top data science courses in India and learn how they help you start a career in this fast-growing industry.

All of the courses below have reasonable data science course fees and you can choose according to your requirements and aspirations.

Data Science and Analytics CareerWe’ll discuss the data science course details of our programs in the following points:

Post Graduate Program in Analytics and Artificial Intelligence

Our post-graduate program in analytics and artificial intelligence is among the most popular data science courses in India. We offer this program with UCLA Extension. It is a data science course with placement assurance which means you will get access to our dedicated placement support to our private placement portal and additional services.

The program gives you a dual certification from UCLA Extension and Imarticus Learning. UCLA Extension is one of the oldest and largest higher education providers in the United States. Some of the key concepts you’ll study in this online data science course in India are Machine Learning Algorithms, Deep Learning, Computer Vision, and many more.

Machine Learning and Deep Learning Prodegree

Machine learning refers to the field of developing computer solutions that can perform tasks and learn from them without requiring human intervention. Our Machine Learning and Deep Learning Prodegree will help you learn the required skills to enter this field as a skilled professional.

We offer this program with IBM. The course teaches you machine learning, Python, IBM Watson, and deep learning through 16 in-class and industry projects with a Capstone project as well.

Post Graduate Program in Data Analytics

Our Post Graduate Program in Data Analytics teaches you data science from scratch. It is among the best data science courses for beginners as it covers all the required concepts.

You will learn the foundations of data science and its in-demand tools including Python, R, PowerBI, Tableau, Hadoop, SQL, and Spark. Like our other programs, it is a data science course with placement support to help you start your career right away.

Data Science Prodegree

We offer our data science prodegree with KPMG. The program is industry-aligned and teaches you the most in-demand skills in the industry. You will work on real business case studies and receive project mentorship directly from industry experts.

This online data science course in India teaches you SQL, programming, Tableau, statistics, R, Python, and many other important concepts. You will also work on a KPPG in India Capstone Project by the end of this data science course in India.

Conclusion

Starting a career in data science and analytics is quite simple. All you need is a little effort, commitment, and guidance and the rest is easy.

Now that you’re aware of our data science course details, you can start your learning journey right away. You can find out more information on our data science course fees and eligibility criteria on our website.

Data Science and Analytics Career Trends for 2021!

Posted on by Imarticus Learning

A career in data analytics and/or data sciences is presently in extreme demand. This is due to the need to optimize new modes of data collection to identify large-scale problems and find solutions in a world after Covid-19, despite a minor drop in job openings at the start of the worldwide lockdown.

data analytics career

There are several trends that one must look out for if he/she wishes to pursue a career in data sciences and/or data analytics, including and beyond ones that involve adjusting to the ‘new normal.

It can be argued that 90% of data that is generated and collected were over the past 3 years. The demand for data science and analytics is therefore only going to grow in demand, at least for the next 10 years (and probably more). To ride this wave of opportunities in jobs and research and beyond, one must keep up with career trends relating to these fields.

What are the trends one must keep up with to enter a career relating to data?

  1. Understanding Data Collection

One must take a look at the avenues which entertain the possibility of data collection – preferably in new, never-before-seen ways. One may look to his/her area of expertise and collect data on it while combining newly learned data management skills to become a data analyst and/or scientist. This may definitely be aided by undertaking programs like data analytics courses at Imarticus learning.

  1. Analytical Problem Solving

In addition to hands-on experience, data analytics online learning may cover various fields relating to data. One must learn the basics like spreadsheet management in order to tabulate data more efficiently for analyst work.

Data Analytics Career

It is a useful skill to know what to recognize as possible data and convert that into an absorbable format, which will ensure later calculations, problem identifications, and solutions.

  1. Understanding Data Management Tools

If one is more interested in being a data scientist, then he/she must work to observe trends in big data. This involves learning big data management tools like Hadoop to find newer frameworks to collect, store and make sense of data. With earning SQL and no-SQL programming in addition to managing databases, one may find new problems to solve, whether for research or for aiding a business (or one of the myriads of other uses).

  1. Machine Learning

This is further aided by mastering other tools like machine learning and artificial intelligence. There are various tools that one may incorporate into his/her data studies, be they included in basic data science and/or data analytics courses or not. Undertaking this endeavor will allow one to master various avenues for finding and exercising ideas, which the world will go on to greatly benefit from.

  1. Communication

A possibly surprising trend that can be observed in regular data analysts and data scientists is the presence of soft skills. Someone dealing with data is required to regularly articulate and advertise new ways of improving things in his/her burgeoning field. Skills like effectively communicating one’s ideas and building useful chains of interpersonal relations go a long way in aiding the career of a data analyst and/or scientist.

  1. Artificial Collection of Data

One must find ways for his/her data collection and processing models to work without his/her presence. This process involves training replacements – both artificial and human. Ideally, a data scientist is expected to design systems that function without his/her interference, not only to undertake routine tasks but also to identify new problems and calculate possible solutions. A noted data trend is the undertaking of this process.

Conclusion

In conclusion, one can say that he/she must observe several trends relating to data on a regular basis, to adapt and grow into the self that can make a huge impact on this frontier field.

Data Analytics CareerData science and analytics are making strides in the tech market, and it is clearly the future. So, a career in data analytics can be really fruitful in the long run.

Top 5 Courses From Imarticus That Empowers Women!

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The 21st century is all about progressiveness; and one of the most important ways, by which this is ensured, is by women empowerment. Throughout history, we have seen the oppression of women. However, in this new age, we strive for equality. Education is an integral part of advancement; and thus, we will venture into the top 5 courses provided by Imarticus which empowers women.

Post Graduate Program in New Age Banking

 

Banking and Finance CareerCurrently, job trends in the market are thriving in the field of banking. Hence, comprehensive Banking and Finance Courses can be extremely beneficial for women.

The Post Graduate Program in New Age Banking course of Imaticus in the banking sector ticks all the boxes as it provides two great courses – an 11-month PGP in new-age banking and a 2-year NMIMS PGDBM course in Banking and Finance Management. Added benefits from Imaticus involve a dual certification along with excellent placement with lucrative increments.

Professional Certificate in Fintech 

Finance and Technology go hand in hand; and in this modern age, this integration of technology with finance plays a major role in the Finance industry.

Fintech CoursesHence, a great opportunity for any woman would be to take a course in Fintech online training. Going forward, this comprehensive FinTech course of Imaticus can open new horizons in one’s life by involving one with Cloud Computing, Blockchain, Machine learning, etc.

Post Graduate Program in Data Analytics

This fast-paced world relies on data; and hence, one of the major subjects which is currently in the limelight is Data Science.

Career in AnalyticsImarticus provides a PGP Data Analytics course that can help one to join a leading MNC and hold the company’s helm. With a huge job demand in the field of data science, this can be an excellent opportunity for someone who is a fresher or has a nominal experience of three years to learn tools like Python, SQL, PowerBI, and Hadoop.

Post Graduate Program in Analytics & Artificial Intelligence

With the world revolutionizing at a fast rate, Artificial Intelligence is going to the new normal in the coming years.

Data Analytics and Artificial Intelligence Courses We have already seen the use of AI in computers and mobiles so why not study something which will be mainstream in the coming years? A comprehensive Analytics and Artificial Intelligence course provided by Imaticus along with dual certification can bring lucrative opportunities to your doorstep.

Post Graduate Program in Digital Marketing

The modern age deals comprehensively in digital media like social media platforms, and owing to the rise in social media outreach, digital marketing has taken the job market by storm.

Digital MarketingFor a woman who is determined to take a step forward towards success, a Digital Marketing Training course provided by Imarticus Learning will be perfect. It will not only provide a good and secure job but will also take one’s Digital Marketing Career to new heights.

Conclusion

This new fast-paced world waits for none. In these present times, a woman must be very tactful in correctly choosing her goals so that she can chase her dreams. Women empowerment can only be possible by proper education and only if women take up more jobs in high places and thus be an inspiration for other fellow women.

How Can You Make a Good Career in the Data Analytics Industry? What are the Skills You Need to Develop If You Have to Start From Scratch?

Posted on by Imarticus Learning

Careers don’t just happen. Especially those in Big Data and Analytics! Let us look at the needed skills and what you need to do to make a happening career in this field. Here are the basic steps in the path to success.
Do the math:
Your game plan and strategy counts! Firstly, research your thoughts, options and why you want a career in this field, what will the payouts be, what is the scope for the job roles you aspire for, which are the top companies, how you plan to put your plan into action and have a great SWOT analysis. Some relevant information here may help.
Some high-ranking companies in Business Analytics to watch for are Cognizant, TCS, IBM, Wipro, Infosys, Accenture, HP, Deloitte, Capgemini, Genpact among others and in no particular order. Some startups like Mu Sigma Analytics, Fractal Analytics, AbsolutData can offer you the best opportunities in the field of business analytics.
Top roles are

  • Data Analyst
  • Business Analyst
  • Product Manager
  • Digital Marketer
  • Quantitative Analyst

BAs bring analytic and business skills to the table and receive good remuneration. The average annual salary is 859,025 INR/ year for a Senior Business Analyst as per the figures of Payscale. The annual average payouts of a BA is INR 6,44857/year as per Glassdoor.
Plan your career strategy:
BA job roles call for a fusion of project management and analytics. A foundation in engineering and mathematics with excellent communication and analytical skills is essential. However, those who already have some background in business opt to enable a career as a BA by upgrading skills with online short courses and a career in data analytics courses. 
These aspirants are empowered with a good skill set in business analytics that helps them start a career with some certification. Graduates in engineering tend to move towards the information management and data engineering fields, while aspirants with some business experience easily transform into roles as a Business Analyst. An MBA graduate should enhance skills by doing a business analytics course.
Plan acquiring your skill set:
Here’s a list of technical skills required. A Business Analyst must have proficiency in the application of statistics with conceptual knowledge of suites like   SQL, R, SAS, testing framework, SPSS, Hive and tools in BI such as Tableau, Excel, Spotfire, Qlik, among others. Skill sets required change depending on the infrastructure and organization’s requirements and functional roles needed.
Do a course to acquire them:
The business analytics course in Mumbai offers a good grasp of fundamentals, concepts, theoretical knowledge, practical skills and certifications that could help enhance your resume and career. They also offer boot camps, short term workshops, and basic knowledge of SAS and R. While certification definitely helps you need to be an excellent communicator and work diligently to acquire the best analytical and business skills. Another advantage in such courses is of mentoring by certified and experienced industry aces that helps garner the latest best practices, techniques, skills, and practice on the latest trending technologies in the field of Business Analytics.
Apply what you learn:
Knowledge implies having the ability to translate theory into action. Accumulated skills get rusty in a while. So continue to hit the refresh button on your skills and do relevant courses in garnering additional skills that will set you apart from the aspiring job queues.
Get some experience:
Apply for internships to get some valuable experience on your resume. You can also volunteer and work part-time for some of the larger companies to ensure you have practical skills.
Now that you possess most of the skills required, do an internship and land a job based solely on your skills.

The Importance of Big Data Analytics in The Banking and Financial Services Industry

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In this data-driven world, Data Analytics has become vital in the decision making processes in the Banking and Financial Services Industry. In Investment banking, volume, as well as the velocity of data, has become very important factors. Big Data Analytics comes into the picture in cases like this when the sheer volume and size of the data is beyond the capability of traditional databases to collect.
Today, data analytics practices have made the monitoring and evaluation of vast amounts of client data including personal and security informant data-driven and other financial organizations much simpler.
There are several use cases in which Big Data Analytics has contributed significantly to ensure the effective use of data. This data opens up new and exciting opportunities for customer service that can help defend battlegrounds like payments and open up new service and revenue opportunities.
For example, in October 2106, Lloyds Banking Group had become the first European bank to implement Pindrop’s PhoneprintingTM technology for detecting fraud. Their technology used AI to create an ‘audio fingerprint’ of every call by analyzing over 1300 unique call features – such as location, background noise, number history, and call type – the o highlight unusual activity, and identify potential fraud.
It cracks down on tactics like caller ID spoofing, voice distortion, and social engineering without any need for customers to provide additional information. Subsequently, Lloyds Banking Group went on to win the Gold Award for ‘best risk and fraud management program’ at the European Contact Centre & Customer Service Awards 2017.
Danske Bank uses its in-house start-up, advanced analytics to evaluate customer behavior and determine preferences, as well as to better identify fraud while reducing false positives.
JPMorgan Chase also developed a proprietary Machine Learning algorithm called Contract Intelligence or COiN for analyzing various documentations and extracting important information from them.
Big Data is also used for personalized marketing, which targets customers based on the analysis of their individual buying habits. Here, financial services firms can collect data from customers’ social media profiles to figure out their needs through sentiment analysis and then create a credit risk assessment. This can also help establish an automated, accurate and highly personalized customer support service. Big Data also helps in Human Resources management by implementing incentive optimization, attrition modeling, and salary optimization.
The list of use cases implemented in the workflows of the Banking and Financial sector is growing day by day. The huge increase in the amount of data to be analyzed and acted upon in the Banking and Financial Sector has made it essential to incorporate increase the implementation of Big Data Analytics.
Knowing the importance of data science is crucial in these sectors and should be integrated into all decision-making processes based on actionable insights from customer data. Big Data is the next step in ensuring highly personalized and secure banking and financial services to improve customer satisfaction.