Education

Understanding industry expectations from data science courses and professionals in India

Published

7 months ago

August 31, 2022

Today, the certified pass outs from the leading data science courses in India have big dreams when they start working with leading companies in data science specialization. These professionals now prefer to start their career with startup companies that offer smaller ecosystems, to begin with, but then progress aggressively with largely profitable compensation options to choose from in the future. In this article, we will highlight the growing expectations from the data science industry and how top data science courses in India could cope with the challenges thrown open by the hiring markets in India.

Is data science still the best market to invest in?

Despite the rapid progress of the data science industry in some areas of business, the pace of adoption within the industry has been largely abysmally low. This is due to the lack of high quality talent that is involved in doing research and innovation work in data science and other related domains. By 2025, if this is not corrected, India could lose up to 1 billion USD every year to its closest competing economies like China.

Let’s understand the scope of data science applications in India.

In the modern era of B2B technologies, only 1 percent of the global players have been able to justify to their investments in data science tools and technologies, with a majority of the company owners feeling the heat to continue with their digital transformation journeys using data science solutions. Indian CEOs and investors of Indian origin are one of the most forthcoming communities who are working tirelessly in the US to get the attention of global users for their data science projects.

If this is done in India, the results would be faster and smoother because of the solid foundation in IT, Electronics, and Computer applications that India is so famous for. But, there is a huge gap in the way people transition from their graduation courses in Engineering, Mathematics, and Business Analytics subjects without taking a telescopic judgment about their future in data science. All that is changing, but it will still take some time to fully understand the expectations from the industry.

For example, let’s take the healthcare industry – as one of the major consumers of data science solutions.

Did you know that blood collection unit in various clinics now store data and match them with personal information to understand how different races and ethnic groups react to a pandemic situation? Or, gender based hormone tests could be used to identify the future of human evolution without taking into account the role of environmental factors? Or, how do you estimate the probability of life threatening diseases like cancer or diabetes in small children? Data science is the key to solving all problems related to healthcare issues today. But, then, is talent standing up to the occasion.

Business leaders find it difficult to ascertain this situation gripping the healthcare industry despite the rise of data science. In the recent months, we have seen how big healthcare companies are engaging in a fight for market dominance in vaccinations and personalized healthcare solutions. They are striving for better innovations but falling short due to the urgent necessity for competing to gain superiority in hiring the best talent.

Unfortunately, the trends have changed in the data science world where beginners, as well as expert professionals in India, are no longer just looking to grab an interview opportunity with the traditionally large IT and Software making companies. They are demanding much more. This has forced organizations to change their hiring tactic to get a more qualified skilled workforce for their healthcare data science projects.

Now, this kind of situation is also seen in other dominant spaces where data science is so widely used, such as IT and security management, manufacturing control systems, marketing and sales organizations, media and entertainment, e-commerce, mobility, and the recent industry to adopt data science, financial services, and banking solutions. Everywhere, the expectation is that people will build and control systems for their business processes, train machine learning algorithms and then pass on the supervision to the AI models that they created.

But, there is a catch here— AI trainers understand that if they train AI too much in their own trade, they would lose their jobs to their machine counterparts and this is a major hurdle to the way business in AI and machine learning with data science is shaping up. Business owners have to take into account that they are not going to 100% replace the entirety of their human workforce with machines or AI think tanks. That would only cause chaos.

This is what the industry, therefore expects from the leading data science courses in India and the prodigies they create in their classrooms and labs.

Does the new crop of data science professionals understand Responsible AI?

Responsible AI or ethical AI is a big buzzword in the data science domain. It’s clearly a goal for many organizations that are working in AI and machine learning to hire only those data scientists and analysts who understand the dimensions of responsible AI. Today, any team that knows how to handle the demands of R-AI, can safely announce to the world that they belong to an enlightened group of AI workforce that can differentiate any organization and industry with their advanced skills. This is exactly what the industry is calling for— tapping talent from the responsible AI world.

Do you understand the various data governance frameworks?

No doubt, there is an immense potential in the modern day data science applications. However, if we are to succeed with the current league of solutions, we must train with the best tools that explain and train analysts on data governance principles and frameworks. As organizations look to scale up from big data to quality data, it is the responsibility of the data scientists to establish a guiding rail to describe the role of governance at all stages of data operations management, even if it means having people work with machine learning models.

Different stages of data governance where machine learning applications are required are:

Benchmarking Planning
Formulation of data governance
Monitoring
Enforcement
Knowledge and Change management
Rewards and punishments

As we continue to see the evolution of the data science concepts, we will realize how important it is to stay relevant to the trends. Taking a guess from outside the industry without actually working in a top business intelligence group could make you fall flat on your face.

If you are to succeed with your aspirations in the future, you must rise with advanced analytics, self service and embedded business analysis, and AI based roles. To ensure all data governance policies are aptly applied, and no bias is overlooked, it is important that data science trainers should explain the importance of having a good data governance and data quality from the very first session in the top data science courses in India.

As a student looking to pursue data science courses in India, this is a great time to fulfill career aspirations and also take the country forward. This would help meet the growing expectations from the industry that uses data science tools extensively for its own projects.

Education

What Online Courses Are Available to Become a Pilot?

Published

2 weeks ago

March 8, 2023

Leonardo

What Online Courses Are Available to Become a Pilot

If you’re an aspiring pilot, there are a variety of online courses available to get you started on the right foot. There is a variety of options you can choose from. The options are a private pilot ground school, instrument rating, multi-engine rating, commercial pilot, and systems courses. While some are mandatory to receive FAA (Federal Aviation Administration) certification, each course focuses on different aspects necessary for becoming a professional pilot. These aircraft system courses offered from CPaT Global are a great way to build up towards becoming a successful pilot. We have discussed each course in more detail below:

Private Pilot Ground School

This course is typically designed for those who are just starting on their flying journey and are interested in obtaining a private pilot license. As such, it covers a variety of introductory topics, related to aerodynamics, navigation, and meteorology. Most of these courses are offered online and include comprehensive lectures, videos, and other interactive activities. Once students have completed ground school, they must also complete flight training and pass both written and practical exams to obtain their private pilot license.

Instrument Rating

This course focuses on instrument flight rules (IFR), which apply to flying in adverse weather conditions. These conditions include low visibility or clouds. Students can expect to cover topics such as aircraft systems and operations, communication procedures, and navigation techniques. It also covers the use of certain instruments, such as airspeed indicators, altimeters, and attitude indicators. It is also important to note that to enroll in this specific course, students must already have a private pilot license.

Multi-Engine Rating

This course prepares aspiring pilots to fly multi-engine aircraft, such as corporate jets and large passenger planes. It covers topics such as the operation of multiple engines, advanced navigation techniques, and instrument flying procedures. To enroll in this course, students must already have their single-engine rating because the modules build upon the skills and knowledge acquired during former training. Additionally, they must also have a valid medical certificate.

Commercial Pilot Ground School

This course focuses on the skills needed to fly commercial aircraft, such as large passenger jets or cargo planes. It reviews topics such as advanced navigation techniques, radio communication procedures, and flight regulations. Like the instrument rating, to enroll in this course, students must already have their private and multi-engine ratings. Furthermore, they also need a valid medical certificate, which ensures that they meet the physical and mental requirements necessary to fly.

Systems Courses

These specific courses cover the principles of aircraft components, procedures, and systems, such as the electrical, hydraulic, and fuel systems. They explain the operation of each system in detail and provide maintenance information regarding typical malfunctions and repair techniques. As such, students may explore topics related to ATR, Boeing, and Airbus series aircraft systems, among other models. Additionally, several of these courses might also include hands-on workshops for students to gain relevant practical experience when dealing with specific models.

Conclusion

All the above-mentioned courses are essential for aspiring pilots, as they provide a comprehensive overview and lay the foundational skills required to become a professional. As such, they will help students gain the technical expertise needed to fly safely and efficiently. It’s also important to note that in addition to completing these courses, students might also need to pass written and practical exams before they can obtain the necessary licenses. Having online courses allows other people the opportunity to reach their piloting dreams.

Education

Homework Help: An Essential Tool for Students

Published

4 weeks ago

February 24, 2023

Michael Caine

Homework has been an essential component of education for years. However, it can be a daunting task for students to complete their assignments, especially when they are faced with complex subjects. Many students struggle with homework, and this can lead to poor grades and lower self-esteem. Fortunately, homework help is available to students who need it. In this article, we will explore the benefits of homework help, the different types of homework help available, and how to find the best homework help for students.

Benefits of Homework Help

Homework help is an essential tool for students, and it offers many benefits. One of the primary advantages of excel homework help is that it enables students to complete their assignments on time. It also helps them to understand complex topics and concepts that they may have difficulty grasping on their own. Homework help can boost students’ confidence levels, enhance their critical thinking skills, and improve their grades.

Types of Homework Help

There are different types of homework help available to students. One of the most common types is online homework help. This type of homework help is convenient for students because they can access it from anywhere, at any time. Online homework help usually involves a tutor who provides one-on-one support to students, helping them to understand the subject matter and complete their assignments. Another type of homework help is in-person tutoring. In-person tutoring offers students personalized attention and support, but it can be more expensive than online tutoring.

The benefit of practice homework is that it can certainly help students commit what they learned in class to memory. This is especially the case if teachers used spaced repetition. This is a strategy whereby the teacher re-introduces things learned in previous weeks and months during homework revision so the information is not lost over time. The downside of practice homework is that the child is learning on their own during this period. This means that, if the child hasn’t sufficiently learned the content in class, they don’t have anyone to help them during homework time.

How to Find the Best Homework Help for Students

Finding the best homework help for students can be challenging, but it is essential to do so to ensure that students receive the support they need to succeed. One of the best ways to find homework help is to ask teachers or guidance counselors for recommendations. They can provide valuable insight into the best homework help resources available in the area. Another way to find homework help is to search online for tutoring services or homework help websites. It is important to read reviews and testimonials before choosing a homework help service to ensure that it is reputable and effective.

Conclusion

In conclusion, homework help is an essential tool for students, and it offers many benefits. It enables students to complete their assignments on time, understand complex topics, and boost their confidence levels. There are different types of homework help available, including online tutoring and in-person tutoring. To find the best homework help for students, it is important to ask for recommendations and do research online. With the right homework help, students can excel academically and reach their full potential.

Education

How is Python Necessary in AI and ML courses?

Published

2 months ago

January 20, 2023

Michael Caine

AI projects are not the same as traditional software projects. Unlike traditional software projects, the required skills in an AI-based project are entirely different from the software projects. The effective AI-based aspiration project is based on an efficient and high-grade programming language. Python is considered the most advanced programming language in all AI and ML courses.

Python is the most productive programming language in programming language development, deployment, and maintenance. Python is, therefore, the most suitable for all machine learning and AI-based projects. The simple and consistent programming language offers flexibility at a more comprehensive level.

Python programming language advantages

Python is a popular programming language with a wide range of benefits. The following are the advantages of the Python ai ml course in Bangalore.

Concise programming language

Unlike other complex programming languages, Python is an easy-readable code. The programming is based on less complex algorithms, and therefore it is the first choice for software developers. Also, unlike the versatile workflows, it does not use complex ML-solving procedures. It is a reliable programming language for developers.

Easy to learn

According to most developers, Python is among the top programming languages that are easy to learn and understand. Python code can be easily understood by humans. It offers unique machine learning.

Maximum libraries and frameworks

Programmers use Python frameworks and libraries to ensure a well–structured AI and ML algorithms. Programmers use a software library to solve common programming tasks. All these codes are pre-written and are used to provide the best coding solutions.

Python is one of the top programming languages with a wide range of libraries to store pre-written codes.

Some of the libraries for artificial intelligence and ML in Python are the following.

NumPy (scientific computing, data analysis)
Keras, TensorFlow, and Scikit-learn (machine learning)
SciPy (advanced computing)
Pandas (data analysis for general purposes)
Seaborn (data visualisation)
NLTK, spaCy (Natural language processing)
OpenCV (Natural language processing)
NUMPY, PANDAS, SCIPY, and SEABORN (Data analysis and visualisation)

Python as a platform-independent language

Programming languages that offer easy access and minimal or no changes function to developers are referred to as platform-independent languages. Programmers can easily use these independent languages in one platform and implement them in other programming systems.

Python is a popular platform independent programming language that supports several operating systems like Windows, macOS, and Linux. The programming language code can be used in standalone and executable programs. What is more intriguing is that some Python software can be easily accessed without needing Python interpreters.

Several companies and data scientists use ML models and Python programming language to develop Graphics Processing Units (GPUs).

Popular programing language

Python remains among the top ten programming languages. According to the Python Developers Survey 2020, Python is the most commonly used programming language for web development. Scipy, Numpy, and Matplotlib, the most popular Scientific Python packages, can be installed easily in Python-run programs. These packages are the most helpful in handling large amounts of data. Even tech giants like Google and Spotify use this programming language.

Conclusion

Python’s AI community is growing much more popular across the globe. Several Python forums are also available to assist you in understanding and working on the programming language. It’s your turn now to join the Python community and learn the latest skills of the advanced programming language.