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Tag: big data analytics courses in India

Data Analytics and Other Skills Which Can Boost Banking Careers

Posted on by Imarticus Learning

Data Analytics and Other Skills Which Can Boost Banking Careers

We are living in a fast-paced world that is constantly changing with the advent of new and progressive technology. What’s relevant today might be of no use in the near future, such as the frequency and intensity of change. In the contemporary scenario, the digital world has taken over the real one and the world is moving online.

This totally changes the equation for businesses that were earlier accustomed to traditional methods. Now it possesses another challenge for the employees who were trained as per the traditional methods.

This evolution and challenges also apply to the banking industry. With the advent and proliferation of e-commerce, more people like to purchase goods and services using an online method that requires a digital banking facility to make payments. Also, the digital banking system is an evolved version of traditional banking that tackles the challenges faced by traditional banking methods. It makes it more convenient for people to avail and use banking services from the comfort of their home.

An important observation about the digital space is that it runs on data. Tons and tons of data are generated and recorded from various data points. Most of these data are related to customer transactions that help the business to gain valuable insights about the market and the customers.

Earlier this goldmine was left untapped as businesses didn’t have the tools to explore the benefits of data. This has changed over the past decade and businesses have realized the latent potential of data science, data analytics is indispensable for businesses in almost all industries, especially banking.

Banking and underwriting course can help you easily break into the banking industry. Also, wealth management training online can help you obtain a comprehensive understanding of the industry and give you an edge over the competition in finance and banking-related jobs.

Let’s explore some of the most prominent data analytics skills that can boost the banking career for people aspiring to make a career in this industry.

Skills needed in the contemporary banking industry

  • Analytical Skills

In today’s data-driven world, analytical skills top the list of must-have skills for the banking sector. Data analytics skill plays a key role when it comes to analyzing large chunks of data and deriving valuable insights from it. You should be able to identify trends and patterns hidden in the data sets and derive a conclusion from the same.

You should also develop your technical analytics skills by learning software such as Python, excel, etc. Your decisions should not be based on a hunch and it should be backed by reliable data. Data-driven thinking along with strong analytical skills is the only way forward when it comes to excelling in the banking and related sectors.

  • Commercial Awareness

Commercial awareness is all about being up to date with the latest trends and developments in the business world, especially for businesses in the banking and finance sector. The ability to anticipate a financial trend distinguishes a highly successful banker from a mediocre one.

You have to keep up with the market and be able to predict future movements. It’s vital to understand how organizations function and the primary driver for their growth. You need to know everything that might have a financial impact on a business.

  • Stress Management

Technical skills are important but what’s even more important is your soft skill. Emotional intelligence is an interesting concept that emphasizes the need to manage your emotions in the workplace. When you are working in the banking industry, you will be exposed to a lot of uncertainty that might induce and cause stress.

Stress management is critical to succeeding in the banking world. Burnout and stress from work are far too common and can reduce your productivity drastically. Being able to manage stress is one of the most important skills that you can hone.

How Can Data Analytics Help You Become a Better Entrepreneur?

Posted on by Imarticus Learning

The data analytics industry has grown exponentially in the past decade, and more data is being generated every day. This is due to the increasing need for data and data analysis that companies are facing as their dependence on data increases exponentially.

This data, when analyzed, can be used to make important decisions for businesses and individuals alike. Data analysts not only have a skill set that can be applied to any business but also possess the ability to think critically and identify innovative solutions for problems.

The time is now for you to join a data analytics course so you, too, can reap the benefits of this thriving industry! Let’s see how.

How do Data Analytics Skills Help you Become a Better Entrepreneur?

One of the important skills for entrepreneurs is knowing how to handle data, i.e., learning data analytics skills. These skills are very versatile and practical that will enable you to handle your business & its data efficiently. Data analytic skills have not only increased in importance over the last few years but also have grown to be one of the leading industries, so it’s no surprise that individuals who know data analytics skills are in demand and have a lot of career opportunities.

Data analytics skills give you a new way to compete in the job market, one that does not hinge on your education or even some sort of innate talent. There’s always a need for more data analysts and statisticians as businesses are coming up with ways to mine their databases for insights. Nearly 50% of Data Scientists say they created statistical models last year despite having no formal training in statistics.

best data analytics courses in IndiaLearning how to efficiently analyze large sets of data can help make you stand out from other applicants who might have an impressive resume but lack experience with big data tools like Excel and R programming language.

Employers know there is value in someone who has the ability to work quickly through raw information without any previous knowledge about what it all means, which makes learning Data Analytics an attractive option for students and professionals alike.

Data Analytics skills can help with this by providing an easy-to-read breakdown of campaign success and failure rates. This will allow you to take action on your most profitable campaigns while cutting funding for any that are not profitable.

best data analytics courses in IndiaFurthermore, it can help you by providing reports on the time spent on each campaign or task that will enable you to measure how much effort is put into work. Thus, learning how to utilize data analytics training can help you become a better entrepreneur by learning what actions need to be taken or prioritized differently in order to grow your business more effectively.

Become a New-Age Data Entrepreneur with Imarticus Learning

If you want to be a better entrepreneur, it is time for you to join the Data Analytics course at Imarticus Learning. The data analytics course at Imarticus Learning is designed to keep the specific needs of today’s data-driven world in mind and will teach you the skills that can help make your business more successful.

best data analytics courses in IndiaThe curriculum includes a range of topics, from basic statistics and probability theory to advanced machine learning techniques. You can learn data analytics online at your own pace, so there’s no need to put off enrolling until you have more time or money!

This program will help you move forward in your career! For more details on Data Science Course, contact us through the Live Chat Support system or visit any of our training centers based in – Chennai, Mumbai, Thane, Pune, Bengaluru, Hyderabad, Delhi, Gurgaon, and Ahmedabad.

Post Graduate Program In Data Analytics Curriculum Designed To Deliver The Best Learning Outcome For Working Professionals

Posted on by Imarticus Learning

Recent times have seen unprecedented growth and popularity of Big Data, making it an indispensable domain of almost every industry. With an overwhelming amount of data available around us, businesses are focusing on using this valuable resource most efficiently.

That being said, a concomitant rise in demand for skilled data analysts has led to the inevitable mushrooming of data science courses in India.

If you are looking for a comprehensive data analytics course or data science course in India, Imarticus can help you take the first step towards your goal. With its extensive, industry-approved, and experiential Post Graduate Program In Data Analytics and Machine Learning, future Data Scientists are sure to gain immense professional benefits.

About the Data Analytics and Machine Learning Course

According to Statista, the global Big Data market is predicted to grow to US$ 103 billion by 2027, a figure more than twice its expected market size in 2018.

The need of the hour for budding and working data science professionals is a robust data science course with placement assurance. That’s where Imarticus comes to the rescue. The PG program in data analytics and machine learning is designed to help future data scientists learn the foundations and real-world applications of the discipline.

Suitable for fresh graduates and working professionals, the data analytics course seeks to nurture the most in-demand employment skills in data science and analytics with assured interview opportunities and guaranteed job interviews.

What’s Unique About the Program?

Data Analytics and Machine Learning Courses in IndiaHere’s what makes the Imarticus PG Program In Data Analytics and Machine Learning stand out from any other data science course in India:

Guaranteed Interview Opportunities

With over 400 placement partners, Imarticus assures guaranteed interview opportunities for candidates who complete the course successfully.

Learn Job Relevant Skills From Industry Experts

Learners are empowered with critical job-relevant skills through multiple in-class industry-oriented projects, case studies, capstone projects, hackathons, training sessions, discussions, and much more.

Extensive Career Support

Imarticus offers an extensive preparation guide to learners through different career services such as preparation workshops, capstone projects, career mentoring, mock interviews, and a lot more.

Flexible Learning Batches

Weekdays are for the fresh graduate program (6 months, full-time), and the program for working professionals (9 months, part-time) is delivered on weekends.

Curriculum Highpoints

  • The curriculum for early-career professionals or fresh graduates includes:

SQL Programming, Python Programming, Statistics, Machine Learning with Python, R   and Data Science, Big Data and Hadoop, Big Data Analytics with Spark, Data Visualization with Tableau, Data Visualization with Power BI, Placement Preparation, and Capstone Project.

  • Professionals with 0-5 years of experience have advanced curricular elements as follows:

SQL Programming, Python Programming, Statistics, Machine Learning with Python, Neural Network and Deep Learning, Machine Learning on Cloud, AI (NLP and Computer Vision), Data Visualization with Tableau, Placement Preparation, and Capstone Project.

Conclusion

The Big Data revolution has taken the business and IT world by storm and is here to stay. Enroll with Imarticus Learning to make your career in data science and machine learning future-proof by learning from the best in the industry.

Data Analytics and Machine Learning Course in IndiaWith a sea of data science courses available out there, make sure that you choose a data science course with job assurance

Fashion Trends Using Data Analytics

Posted on by Imarticus Learning

The fashion industry is one of the biggest sectors globally. In India alone, the textile industry was estimated to be worth around $100 billion in 2019. It attracted Foreign Direct Investment worth $3.68 billion between April 2020 and December 2020.

Like any industry, companies in the fashion sector use technology to advance further and enhance their performance. That’s why the demand for data analytics professionals is rising steadily in this field.

The following article will throw light on what do data scientists do in the fashion sector and how they are helping this industry grow.

How Data Analytics Helps the Fashion Industry

Understanding the customers

Data analytics helps fashion companies in getting better insight into their customers. They can collect data from reliable sources, optimize it and analyze it to find unique patterns in their purchase behavior and modify their marketing strategies accordingly.

Data scientists handle the gathering of the data because the source can influence the quality of data significantly. When a brand has a better understanding of what its customers want, it can create products accordingly and get ahead of its peers.

Analyzing the competitors

Competitive analysis is a major aspect of any industry. Knowing what your competition is doing and the reasons why it’s making progress can help you chart out a better future plan.

Data scientists are capable of finding patterns and factors that affect certain outcomes. They assist fashion brands in analyzing the industry and thus, help them beat their competition.

Optimizing the sales process

The sales process should be smooth and hassle-free for every customer. It shouldn’t be difficult for a client to find the product he/she wants. However, in many cases, the customer doesn’t know what he/she wants. This is where data scientists come in.

They create recommender systems that analyze a customer’s past interactions with the brand, the available data on him/her, and predict his/her most preferred choices. Recommender systems also predict user behavior based on what other users with similar interests like. By using recommender systems, fashion companies can easily sell more products and retain more clients.

Data Science Course

Predicting future performance

Forecasting how the current industry trends will behave can help a company greatly. Data Analytics and Machine Learning Training allow fashion companies to perform predictive analysis. It assists them in making better-informed decisions about their current and future products.

For example, it can help them decide the right time to launch new offers. Similarly, it can help them determine how their existing campaigns will perform so they can rectify any errors.

Starting a career in data analytics

Now that you know what do data scientists do in the fashion industry, you might be interested in pursuing a career in this field. Becoming a data analytics professional is quite simple if you have the right knowledge. Data scientists are experts in machine learning, artificial intelligence, mathematics, and statistics. Hence, you must learn these subjects and get familiar with the relevant tools used in this field.

The most effective way to do so is by joining data analytics courses in India. Joining data analytics courses online will help you in learning the necessary concepts and get certified as a data science professional.

Conclusion

Data analytics has become an integral part of many industries, and fashion is one of them. You should start looking for data analytics courses in India if you want to make use of this opportunity. It would be best to join data analytics courses online because it would ensure you can study safely and from the comfort of your home.

How Data Sciences Principles Play an Important Role in Search Engines

Posted on by Imarticus Learning

Organisations today have started using data at an unprecedented rate for any and everything. Hence, it is mandatory that any organisation that has adopted data will need to analyse the data. Here is the real job of a search engine which can search and get results back in milliseconds.
The notion where people believe search engine is only used for text search is completely wrong as search engines can find structured content in an enhanced way than relational databases. Users can also check on portions of fields, such as names, addresses at a much quicker pace and enhanced manner. Another advantage of search engines is that they are scalable and can handle tons of data in the most easier and faster manner.
Few of the benefits of using search engine tools for data science tasks which are taught in big data analytics courses include:
Exploring Data in Minutes: Datasets need to be loaded to search engines, and the first cut of analysis are ready within minutes sans codes. This is the blessing of modern search engines that can deal with all content types including XML, PDF, Office Docs to name a few. Although data can be dense or scarce, the ingestion is faster and flexible. Once loaded the search engines through their flexible query language can support querying and the ability to present larger result sets.
Data splits are Easier to Produce: Some firms use search engines as a more flexible way to store data sets to be ingested by deep learning systems. This is because most drivers have built-in support for complex joins across multiple datasets as well as a natural selection of particular rows and columns.
Reduction of Data: Modern search engines come with an array of tools for mapping a plethora of content which includes text, numeric, spatial, categorical, custom into a vector space and consist of a large set of tools for constructing weights, capturing metadata, handling null, imputing values and individually shaping data according to the users will.
However, there is always room to grow there is an instance where modern search engines are not ready for data science and still evolving. These areas include analysing graphs, iterative computation tasks, few deep learning systems and lagging behind search support for images and audio files. There is still room for improvement and data scientists are working towards closing in on this gap.

Sports Analytics: How Data Analytics Is Changing The Game Strategy?

Posted on by Imarticus Learning

Big Data Analytics Training Courses

We have witnessed how Big Data and its analysis have reshaped the operation of many businesses. Recognizing the facts of big data analytics courses, the true scope of data analysis, the sports world making use of analytics. As we speak, the world of sports is improving its capabilities using sports analytics.

So, What Is Sports Analytics?
Sports analytics can be roughly translated to the use of data related to sports such as statistics of players, Weather conditions, pitch information, etc. to create predictive models to make informed decisions. The primary objective of sports analysis is to improve team performance. Sports analytics is also used to understand and maintain the fan-base of big teams.

The Sports Analytics was brought to the public eyes in 2011 by a movie called “Money ball” featuring attempts of the Oakland Athletics Baseball team’s 2002 season. The coach, Billy Beane restored the team using empirical data and statistical analyses on players’ performance.

He used trials with sabermetrics to improve his team and ended up finishing at the first place American League West on that season. Today with the advancement in Big Data technology every sports team is crunching data to gain a competitive advantage.

Changing the Strategy
Sports analyzers nowadays use wearable devices to collect data from players. The miCoach is such a wearable device developed by Adidas. This device attached to players’ jersey records data like heart rate, speed, and acceleration of the player. Analyzing this data, the team management is able to select the suiting players for the game. It also enables them to track the condition of players and allow them to rest before they get injured.

Video analytics is also being increasingly used across various sports for collecting data. In the NBA games, a company named SportsVU installed 6 cameras around the arena. Using advanced metrics, they were able to produce information about which move and which shots are best suited for each player. Such analytical results help teams to derive game strategies matching the strength of their players.

Big Data Analytics Training CoursesThe same is used to learn about the players of the opposite team’s players to find their weaknesses. Arsenal is one of the major football clubs to make huge investments in big data analytics courses.

They use a system that tracks 1.4 million data points per game and analyses all the data using an automated algorithm.

The Future of Sports Analytics
Without any doubt, sports analytics will continue to evolve, and the game strategies will heavily rely on the insights from the analysis than instinct. The next breakthrough sports world expecting from analytics is in the area of predicting a player’s mental ability to adjust with the rigors of the professional sports world.

There are already researches about finding the correlation between emotional regards of responsibility and on-field performance.

The current analysis is not capable of measuring an athlete’s desire to be the top performer. Lack of such features brings a slight chance for drafting busts. Looking at the rate at which the sports analytics have grown to today’s state, It is sure that more of these data-driven advancements in sports can be expected in the upcoming years.