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Day: 7 August 2021

How to Start a Career in Machine Learning?

Posted on by Imarticus Learning

The field of Machine learning is expanding fast nowadays with the application of smart algorithms being applied from apps to emails to as far as marketing campaigns. What this means is that machine learning or Artificial Intelligence is the new in-demand career option you can choose.
But being a new field comparatively, you may have many doubts and confusion as to how you can actually get yourself to adopt Machine learning as a career. Let’s ponder over some things you need to master to get your career in machine learning startup.

Understand the Field First

It is an obvious but important fact. Understanding the concept of machine learning and basic math behind it along with the alternative technology while also having hands-on experience with the technology is the key to dive into this field at first.

Covert Problems in Mathematics

Having a logical mind is imperative in machine learning. You need to be able to blend technology, analysis and math together in this field. Your focus on technology must be strong and you must possess curiosity along with openness toward business problems. The ability to pronounce a business problem into a mathematical one will take you long into the field only.

Background in Data Analysis

A background in data analysis is perfect for transitioning or getting into machine learning as a career. An analytical mindset is crucial for success in the field, which means one has to possess the ability to ponder over causes, consequences and discipline to search for the data and digging into it, understand the working and its consequences.

Gain Knowledge of The Industry First

Machine learning, like any other industry, possesses its own unique needs and goals. Therefore, the more you research and learn about your desired industry, the better you’ll do here. You have to study the basic and everyday working of the industry along with all the technicalities involved in it.

Where to Find Work as Machine Learning Expert

Job portals are a good way to find work in your starting days in machine learning. You can apply for a job in portals such as Indeed.com, Monster, Glassdoor, etc. You can sign up on some freelancing site (such as Upwork) too to get your starting assignment as a machine learning expert.

The Best Companies to Work For in The Field

Two types of companies can provide you machine learning job as present:  huge MNCs and established companies, or start-up businesses.  There are two basic markets at present for machine learning experts for you to tap on. First is the Cloud and the other is the logs, which allows companies or analytics to let customers create their own algorithms.
The large companies which dominate the data analysis and Machine learning field include Databricks and IBM Watson Analytics.  Google has also made forays into the AI recently while many of its partners are also looking for professionals to get their machine learning initiative started.

Related Post : What are The Skills You Need to Become a Machine Learning Engineer?

Top 5 Careers in Data Science You Need to Know About!

Posted on by Imarticus Learning

Data Science is a rapidly growing field with over 2.7 million data science and analytics job openings expectations in 2020 alone. The number of online users is increasing at a tremendous rate, and with it, the need for data science professionals is also increasing.

As per reports, 2.5 quintillions bytes of data are produced every single day. And there is a huge demand for professionals who can clean, monitor, visualize this data and obtain valuable insights from it to innovate Big Data solutions for technological advancements.

The field of data science is very wide and offers plenty of job opportunities for professionals. If you are interested in computers, maths, and data analysis and share a passion for technological discoveries, then Data Science is the perfect career for you. By enrolling in a data science course, you can become a qualified data science professional and help transform the world for the better.

What is Data Science?

Data Science is the science that helps in data-driven decision-making using methods of collecting, storing, computing, analyzing, and managing data of organizations. Every technology that we use today is based on data. Our online purchases, YouTube recommendations, Instagram feed, etc. are all examples of human-data interactions.

Data collection helps improve the user experience while surfing the internet. You might have noticed that while shopping on Amazon, the site recommends other useful products that can help you along with your original purchase. These recommendations are based on your previous purchase history, search history, and payment history. It also sends you a reminder for your habitual purchases like groceries, etc. They act as a trigger to make you purchase the product without being spammy.

In this way, Data Science professionals help both businesses and consumers. It is proven to increase a company’s profit revenue and helping customers spend less money on a purchase with strategic placements of ads of products at discounts. Thus, it creates a win-win situation for both the company and the customers leading to healthier economic development.

Benefits of Data Science

Data Science not only has commercial benefits but also improves the performance of multiple industries such as public health, food, farming, education, airlines. From its wearable trackers to monitor and improve patient’s health to accurately diagnosing diseases and finding cures, data science is contributing a lot to the healthcare sector.

Its image and voice recognition applications give you recommendations for tagging your friends in pictures on social media. With Google and Siri, you get the job done without the need to type on your smartphone. Data Science helps the airline industry by predicting flight delays, identifying weather, and helping in decision-making for airplane buying.

Data Science has also transformed the Education Sector with its features, including analytical evaluations of students, helping in decision-making for student admissions, etc. It has been very useful in lowering the dropout rate and increasing the engagement rate of students in schools.

Data Science course helps farmers with solutions on the right amount of seed planting, fertilizer, water, etc. It also predicts weather conditions that let farmers modify their harvesting plans accordingly.

The benefits of data science are countless. It is impacting almost every industry in one way or the other. It has become such an inherent part of our lives that we do not even recognize its presence. It is at the center of all the industries today. Building a career in Data Science is a wise option. It not only pays well but also lets you drive the transformation of the world towards a better version of itself.

There are a lot of in-demand data science careers these days. So, let us explore the top 5 data science careers that you can build a substantial career in.

Top 5 Data Science Careers

1. Data Scientist

Data Scientist is one of the most popular jobs worldwide. Data Scientists examine Big Data and perform cleaning and organizing of the data. They process a large amount of complex information and find patterns in the data that help them drive strategic decisions. Data Scientists are well-versed with Machine Learning algorithms.

The solutions discovered by Data Scientists are very important for companies for their business growth. These solutions also let companies have an edge over their competitors and achieve all their business goals. Data Scientist is a technical job and demands a variety of skills. The salaries in this career are among the highest-paid jobs.

Prerequisites for Data Scientist Job

  • Problem-solving skills
  • Coding Language
  • Data Visualization
  • Business Awareness
  • Machine Learning Algorithms

2. Machine Learning Engineer

Machine Learning Engineers create data funnels of the cleaned and organized data. They train a predictive model to help predict the target variable. Their developed models analyze the data trends in the future to help businesses make the right decisions.

The data used has a lot of dimensions to it. Machine learning algorithms make the tasks easy. These engineers test and analyze their models for the best possible outcomes. They are good with statistics, programming, and software engineering skills. In addition to training, they also do data analysis at times to better understand the datasets.

Prerequisites for Machine Learning Engineer Job

  • Programming
  • Data Modeling
  • Machine Learning Algorithms
  • Software Engineering & Systems Design

3.  Data Engineer

Data Engineers integrate data from various sources and perform batch processing on it. Every company needs the development and maintenance of its data pipelines. Data Engineers collect big data from various sources and then optimize this data as per the problem statements. They are responsible for writing queries and providing a streamlined flow of big data.

They create an interconnected data ecosystem that helps data scientists by making the information easily accessible to them. Their prime focus is on the system and hardware which assist in the analysis of the data. They deliver effective warehouse methods to the organization as well.

Prerequisites for Data Engineer Job

  • Machine Learning Algorithm
  • Coding
  • Data Warehousing
  • Database knowledge

4. Business Intelligence Developer

Though Business Intelligence (BI) Developer is more of a non-technical job, it is a big role to play in the successful implementation of data science solutions in the organization. Before going into the job responsibilities for this role, let us first understand: what is business intelligence? Business Intelligence is a combination of strategies and technologies that helps in the data analysis of an organization for business information.

BI Developers formulate and implement business policies created using the insights from data analysis done by the technical team. They act as a bridge between the technical and the non-technical team through their ability to understand the technical stuff and presenting that in a simple non-technical way to the clients. They have a good understanding of business. Using their deep understanding of data, they develop BI tools and applications that help the end-users comprehend the system.

Prerequisites for Business Intelligence Developer Job

  • Business Acumen
  • Data Warehousing
  • Business Intelligence Software Integration
  • Communication Skills
  • Problem Solving

5. Data Analyst

Data Analyst is another important career in the field of data science. Data Analysts are responsible for understanding, transforming, and manipulating the data to suit the needs of the company. They store the data of the different departments of the company. Data Analysts help companies to understand the reason behind the success or failure of their projects.

Their roles also involve web analytics and A/B testing analysis for businesses. The results of their analysis help companies understand the loopholes in their plans. They provide solutions to business problems and also assist in the decision-making processes. They are also an important link between the technical and other working departments of the company.

Prerequisites for Data Analyst Job

  • Critical Thinking
  • Machine Learning
  • Data Visualization
  • Communication
  • Process Modelling
  • Microsoft Excel

Data Science careers are in constant demand as businesses are quickly moving towards automation. Data Science professionals are needed in almost every field, be it government organizations or private firms. Owing to their high importance, the data science salary packages are also quite lucrative. The average salary range varies from job role to job role in this field. Nevertheless, a career in data science is among the highest paying careers for professionals.

If you are looking to break into the data science field, there are various ways to prepare yourself. One can join a data science course and gain the required knowledge and skill-set for making a career in this field. There are various certificate courses, degrees, and diplomas available these days, both online and offline that you can pursue. After gaining the required qualification and skill base, you can apply for fresher roles in this field.

Many companies are on the lookout to hire data science professionals. So, finding a job would not be that difficult. Once you gain some experience, you can also take on another career pathway in this field as most of the data science careers are interconnected and complementary to each other. To succeed in this field, you need to have a technical mindset, an eagerness to learn, and a passion to develop solutions to problems.

How Does Robotic Process Automation Work?

Posted on by Imarticus Learning

With the growing need for faster and cheaper operations, companies have started adopting hybrid workforces, thus relying heavily on automation and intelligent business services. Robotic Process Automation (RPA) allows companies to make business processes more effective and efficient. 

RPA is the key to decreasing costs, increasing production, and making business processes sustain themselves. These technological changes can be seen everywhere now, ranging from automated operations to maintenance and even deployment, fundamentally not requiring human supervision anymore. 

What is Robotics Process Automation?

RPA can be simply defined as the process of automating business processes. But, what is Robotic Process Automation really? From a business point of view, RPA can be a process that fills out automation gaps and replaces the need for humans in processes that require manual action.

Robotic Process Automation is especially used for processes that are repetitive in nature, for instance, entering data, viewing documents, and transferring information or data through systems and services. RPA learns human-machine interaction and then proceeds to perform it at exceptional speeds.

 From a technological point of view, RPA uses software or programs (bots) to perform tasks in a business process. These bots are integrated into the systems directly or are built around legacy software in order to perform the tasks directly from the platform. Their function is similar to that of humans; however, RPA implemented systems are much faster and more productive.

Automated processes are also free of the risks of human errors and do not need any human intervention. RPA is further enhanced by AI. Machine learning allows bots to execute complex tasks and make decisions on their own. This enables end-to-end process automation, removing the need for human supervision entirely.

This allows companies to use their human assets for tasks that are more important or that cannot be performed by bots. To learn more about how to increase business process efficiency and how technology helps in businesses, an online distance MBA, an MBA or an online MBA course is highly recommended.

Advantages of Adopting RPA

Bots are capable of acquiring the same skills as humans and performing tasks, except that bots are far more accurate and much faster. Adopting RPA can have several benefits which are not just limited to the budget or for cutting costs. Yes, Robotic Process Automation makes way for cheaper business processes and operational costs due to removing the need for human assets in basic repetitive tasks. The best online MBA courses teach future leaders how to effectively use their human assets and efficiently use resources.

 Bots and programs are also much faster than humans, increasing the productivity of the process enormously while maintaining accuracy. Unlike humans, bots generally do not make errors, especially for fundamental repetitive tasks such as making calculations, parsing emails, logging into systems, copy-pasting, scanning documents, or migrating data. RPA can also be optimized and set up in a manner that is easy to use and offers toggles or controls to supervise the bots.

Conclusion

Companies are in dire need of automation with the number of competitors coming up in the market and with the ever-increasing demand. In order to fully cater to the demand of the growing population and the technological upgrades that come along with it, organizations must upgrade to hybrid workforces and fall upon Robotic Process Automation to fully extract the value from their businesses, research, and production.

RPA is the future and we will see it being adopted by more companies during the coming months. It is highly recommended that candidates opt for an online distance MBA or online MBA course to learn more about business processes. The best online MBA courses such as the programs offered by Imarticus cover the benefits that RPA brings to businesses in depth. 

Related Article:

Are Online MBA Degrees The MBA degrees of the Future.

 

 

Bringing AI and Machine Learning Accessible to Enterprises Credit to Cloud!

Posted on by Imarticus Learning

Artificial Intelligence (AI) technology has been a game-changer for businesses. It has revolutionized how businesses operate and get the work done. Artificial intelligence technology imparts machines with the ability to understand and apply intelligence while processing complex data that would’ve earlier required human aid. Machine learning is a part of Artificial Intelligence technology and entails training machines to process information using large data sets.

Let’s discuss a real-life scenario to understand the functioning of machine learning technology better. Have you ever wondered why the prices keep on fluctuating when you book a Cab using Uber? Well, that’s machine learning technology into action for you.

Dynamic pricing is how the machine learning algorithms leverage buyer’s curiosity, demand, traffic congestions, etc. to regulate the cost and price the fare accordingly. Machine learning is increasingly being deployed by organizations to help with complex real-time data processing.

AI & ML Accessibility  

Accessibility has always been a challenge when it comes to adopting AI & ML technology for businesses; cloud solutions have helped paved the way for even smaller businesses to adopt AI & ML technology. Here is a list of few cloud services that is changing the way businesses adapt to AI & ML solutions.

  1. Amazon Web Services (AWS)

Amazon needs no introduction; it has always been about boosting customer satisfaction and improving business practices. AWS is a cloud solution offering from Amazon that provides a diverse range of machine learning solutions including Amazon SageMaker that simplifies the process of creating, training, and deploying machine learning models to work. Other machine learning-related solutions by AWS includes dynamic pricing models, search recommendations, automated customer service, etc.

  1. Google Cloud

Google’s cloud solution is second in this list of cloud services that have made machine learning more accessible for companies. After the development of an open-source platform named TensorFlow, Google has achieved new heights in the AI & ML arena. In addition to its indigenous open-source application, it is also associated with DeepMind, one of the most prominent players in the machine learning space. AlphaGo is a flagship program by DeepMind that has revolutionized the machine learning and AI space.

  1. Azure by Microsoft

Azure by Microsoft is another prominent name in the list of cloud platforms that have made machine learning more accessible for organizations of all sizes. Azure boasts of in-built machine learning services for organizations that want to leverage machine learning models into their business operations. To make it more easily and user-friendly it has both code-based and drag and drop functions. Azure aims to revolutionize the machine learning space by focusing on building a bias-free responsible machine learning solution.

Conclusion

Machine learning is an indispensable tool for businesses in the contemporary that rely on the use of sophisticated technology to operate and reach new customers. Machine learning career is in huge demand as more and more businesses are leveraging this remarkable technology to grow their business and optimize their operations.

One can opt for a machine learning course from reputed institutions like Imarticus Learning to obtain comprehensive knowledge about this technology and obtain a job with some of the most reputed organizations.

How Big Data Analytics Course Help to Achieve Better Data Management In Banking?

Posted on by Imarticus Learning

What is Big Data Analytics Course?

Banks create a huge amount of data regularly. The speed of data creation is slower than the speed of processing this information. The Big Data Analytics course can help the banks to diversify the data into Big Data that can be stored in a divided manner for better understanding and longevity.

Big Data Analytics Course focuses on the Collection and organization of the data and its conversion into such information that is worth analyzing and studying to draw meaningful conclusions. It educates about the ways to handle Big Data that cannot be used making use of the traditional methods.

Companies require specialized personnel of Big Data Analysts specifically for this job. Jobs in this particular field are shooting because of the usage of the internet and technology at large. This amalgamation of Finance and Technology can give rise to Fintech (Financial Technology)

What are the sources of Big Data?

Analysts can find Big Data whenever they want to make use of it. Some of the most important sources of Big Data are mention below:

  • Sensors- Used in Cars, Industrial machinery, Space, Technology and CCTV Footages, etc.
  • Social Networking Site- Facebook, Twitter, Instagram, Google, etc.
  • Transportation Services- Data from Aviation, Railways, Shipping, etc.
  • Online Shopping Portals- Data from Amazon, Flipkart, Snapdeal, eBay, etc.
  • Institutions- Data from Hospitals, Banks, Software Companies, Educational Institutions, etc.

Characteristics of Big Data

Big Data has been characterized by 3Vs. All the Vs stand for the following:

  • Volume- Data in Tera Bytes, Zeta Bytes, Giga Bytes, etc.
  • Velocity- The speed at which the data grows fast.
  • Variety- Includes the unstructured and Semi-structured data.

Advantages of Big Data Analytics Course in Banking

Big Data Analytics Course has been proved advantageous in numerous fields and industries but the Banking Sector has been able to make the best use out of it so far. The following points show how Big Data Analytics Course can help Banking Sector to achieve Better Data Management:

  • Boosting the Overall Performance

data analytics courses in IndiaAs far as the performance is concerned, both the employees’ and the bank’s performance can be analyzed through Performance Analytics. The Big Data Analytics Course helps to ascertain the loopholes in the performances that can be corrected in the future course of action.

  • Providing Personalized Banking Services to the Customers

The deposit or withdrawal of money in a bank account or the usage of bank cards at shopping sites, all are activities or information of the customers that a bank has. By using this information and the tools from the Big Data Analytics Course, banks can design some personalized services for their specific customers. This can benefit the banks by the way of increased customer loyalty.

  • Managing the risks to the Data

With a discreet vision of the market, banks can regulate their policies or can bring changes in their framework. If the return from the market keeps running low, after analyzing, banks can raise the loan interests for the customers in that respect.

To avoid frauds, banks can turn down or withdraw payments from questionable Investments in the market.

  • Sentiment Analytics

Under this, the banks analyze the data through social media and understand the patterns and behaviors of the customers on social media platforms. This helps to know the sentiments of people about a brand, firm, Company, or product.

Conclusion

Anyone aspiring to be a Big Data Analyst must take up a  Big Data Analytics Course. Considering the current scenario where every company deals with its data through Information Technology, the use of Big Data Career is on the rise.

Related Article:

How To Upskill Your Career In Big Data Analysis

 

Why an MBA could offer grads ‘a leg up’ for breaking into Big Tech?

Posted on by Imarticus Learning

If you are a graduate looking for your first job in the tech industry or considering an MBA to do so, then look no further. The best online MBA courses could offer you ‘a leg up’ – the necessary skills required to flourish in this dynamic job market.

Even if employers value the practical experience of hiring someone with technical skills over qualifications from one of the best business schools, graduates who have also studied management theory can offer them incredible business & professional value. The best online MBA courses can provide that mix of practical and theoretical know-how to bestow on their students – giving them a competitive edge over other applicants.

In this blog, we will see how an MBA course degree can help you get the big breakthrough in the tech domain.

MBA Degree Makes You Versatile 

MBA graduates from the best MBA courses can apply their knowledge to all sorts of fields. The best online MBA courses come in a wide range of specializations, from marketing and human resources management to organizational leadership and finance. Successful applicants will be able to use these skills while working for major companies in the tech industry.

While experienced professionals who do not hold an MBA learn about organizations and business models over the years, MBA’s know about the general nuances and strategies required to run those business models successfully.

MBA in Investment BankingWhether it is the tech or non-technical field, the boundaries between professional skillset, leadership acumen, strategy, and innovation are blurring.

Companies want their employees to be more capable when it comes to delivering true value to the organization. This is the sweet spot where an MBA graduation certificate will make you shine.

How To Do MBA Online? 

Online MBA Programs are best suited for busy professionals who can’t attend a traditional classroom, however, there are several other benefits.

People who hold an Online MBA Certification have the potential to earn more over their careers than those without an MBA. The benefits of an online master’s degree are best felt by students after completion and when they kickstart their career at an entry-level position.

In today’s fast-paced environment, the best approach is to complete an online degree and work at the same time.

Imarticus offers three distinct MBA programs – MBA in Investment Banking & Equity Research, MBA in Fintech, and MBA (Distance) Banking & Finance Management. All these courses are designed to fit the contemporary industry needs of working professionals.

You can choose the one that suits you, and get your MBA classes started online!

Why Should One Opt for Distance MBA?

Distance programs are best for those students who either cannot attend classes due to their work or domestic commitments or want to gain a specialization that’s not available near them.

By joining an online MBA program, you can complete your coursework within the specified time frame and also work at the same time. Distance learning allows working professionals with a busy schedule to attain a degree of their choice, and level up their career.

Get started with Imarticus Learning today!