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Data Science Skills To Learn in 2021

Introduction :

The world is now a hot bed of technology and for good reason. Previously, even may be a decade or two back, we couldn’t imagine the number of changes that we see now. It was close to impossible to think that we would have machines that would have the capability to think for themselves. During this time period, all work, starting from the simple ones to the most complicated, happened manually. Imagine analyzing hundreds of data sets to come to one conclusion! As difficult as it was, this was the way things worked. That is until the magic of Data Science was discovered.

With the artificially intelligent machines, however, the dynamics of the corporate world changed drastically. Businesses that began employing smart machines thrived due to the sheer accuracy of the computers. Large volumes of data could now be processed in a matter of minutes, even seconds. Employees no longer had to grind away just to come to a simple conclusion. Instead, they could concentrate on better things that the machines could still not do. This marked an era of change and technological advancements.

Today, companies find themselves using the concept of Data Science and Machine Learning to do things faster and more efficiently.

Top 10 Data Science Skills To Learn :

Data Science, as we have just seen, is a topic that assumes a position of vast importance in today’s world. It is changing constantly, giving rise to more things- better things. These are, in turn, is employed to make things work at a faster pace. While the stream itself is producing millions of deltas, there are a few that originate and associate directly with Data Science. While the subject will continue to give birth to many more corollaries in the future, these are some of the basic things that will always remain. All Data Science Certification Courses help you learn these as it is inevitable in case you want to become a Data Scientist. While there are plenty of courses that you can take, you should always aim for the best ones first. And the best course is provided by a company called Great Learning. They are pioneers in this field and have trained thousands of students who are now successfully placed in their fields.

  1. Python: Data Science is all about programming. And Python is one of the most well-known languages of the world. Why? The reasons are simple.
  • Ease of computing: Python is an easy language to master. It hardly has any punctuation and works solely on codes and indentation. This makes Pythona universal favorite.
  • Powerful language: Python is a powerful language as it can be used to generate many different types of software. It is one of the best languages available under object-oriented programming. Its power lies in the generation of complex software that is now used everywhere, all over the world.
  1. Machine Learning:Machine learning is a fundamental concept of Data Science. It is safe to say that Data Science is driven by the concepts of Machine Learning. For a computer to learn the science behind processing data, it has to go through the process of machine learning. Possessing the required knowledge for Machine Learning is an important step in becoming a Data Scientist. It is only natural for a person to acquire this skill in such a scenario. Predictive analysis is yet again an important part of machine learning that you will be required to master.
  2. Neural Networks:Neural networks in Artificial Intelligencerefers to the working of neurons in a human brain. The reason why this is one of the most important parts of learning about AI, is the simulation of the neuron patterns to form a cognitive learning system. Neurons in our brains are designed to retrieve memory from the slightest of hints produced. This is an important capability that all Artificial Intelligence-driven machines are required to have. The neurons are also responsible for all other activities that make humans the most intelligent on the planet. In that light, it is important to say that a neural network can be primarily of three types:
  • Feed forward Neural Network:This is the type of neural network that is used most commonly today. In Artificial Intelligence, it is used to perform some basic operations like basic pattern recognition and image recognition. Feed forward neural network is so-called as it facilitates the flow of information in one direction only. This genre of a neural network can further be divided into single-layered networks and multi-layered networks.
  • Recurrent Neural Network:Recurrent neural networks, abbreviated as RNN, make use of loops to perform some recurrent operations. Quite naturally, these are way more complicated than feed-forward neural networks and can do much more complex tasks related to image processing. In fact, recurrent neural networks are used in natural language processing and speech recognition operations.
  • Convolutional neural networks: This genre of neural networks is quite complicated and was developed with visual recognition in mind. Today, it is used for operations like object recognition and analysis of videos.
  1. Deep Learning: One of the most important components of the whole Artificial Intelligence package is Deep Learning. Now, we spoke about the usage of neural networks in the previous point and that is clear to us given its content. However, there is more to it than meets the eye. When we say ‘deep learning’, we mean the cognitive ability of a machine to imitate the way humans learn and remember things. One very important aspect of Artificial Intelligence is making some important decisions and that is facilitated by a complex structure of neurons. The study and subsequent imitation of this process are essentially what we mean by deep learning.
  2. Natural Language Processing:Natural Language Processing is a sub field of Artificial Intelligence and is essentially concerned with the processing of natural languages. It deals with the interaction between humans and computers using natural languages. This requires the computer or the software to understand the respective languages and to know what to say after what and how exactly to respond. Given that Artificial Intelligence is a lot about interacting with humans, Natural Language Processing is a crucial part of designing an interface that is to understand the natural language of humans
  3. SQL:SQL is the abbreviation of Structured Query Language and is used to manipulate information in a database management system. Although the topic does not sound like one that has something to do with artificial intelligence, it actually is more than helpful to the eye. Databases are required to store the information that will be fed to the machine, which in turn will serve as the data that the machine will use to learn various things. Hence, it is important to know the usage of databases, and hence, of SQL.
  4. NOSQL(Not only SQL):NOSQL is mostly a simpler, or a more refined version of SQL. It deals with the retrieval of information from a database that does not have relational schemas. As for SQL, relational schemas formed a crucial part of the designing system. However, in NOSQL, it is completely the opposite. It is used mainly for the databases where relational tables are not necessary. Therefore, a small amount of data works just fine on NOSQL. Needless to say, using NOSQL in such situations is way better than using SQL as the latter is more complicated than the former.
  5. Hadoop:Hadoop is a collection of open-source software that was introduced by Apache. This software was introduced to take care of a large volume of data which can otherwise be difficult to handle. Wondering why Hadoop is essential for Artificial Intelligence? Let us explain how! With Hadoop, feeding data to your artificial intelligence-driven device becomes a thousand times easier than it would have normally been. Moreover, the device will also be able to save further information using this software. However, as a designer, you must know how to operate Hadoop so that you can program your machine accordingly.
  6. Elastic Search:Developed using the language Java, Elastic search is a search engine that is based essentially on the Luce library. This, too, plays an important role when it comes to Artificial Intelligence.
  7. Visualization of Data:Data visualization is a topic that is being widely explored by computer scientists. Artificial Intelligence is not only being driven by this technology, but it is also being used to develop the same. Through data visualization, it is possible to translate a large volume of data into images that are easier to decipher and use. This allows easier communication between a machine and the user as visualization increases readability.

Some more skills that you must know :

  1. Database Management Systems
  2. Health-care analytics

Conclusion :

We have seen the importance of the discussed skills. It is to be kept in mind that these are the ones that are being used a lot these days. However, the ones mentioned below the main list, also assume an important place in the world of Data Science and Machine Learning.

Throughout the entire article, there was one thing that was predominantly visible, and that was Data Science. Although we have encouraged the skills that we have mentioned here, it is to be kept in mind that there are many more such skills that one can acquire.

One other thing that you must have noticed is the presence of programming languages. Data Science is a subject that breathes through programming. In that light, some of the most important languages here are Python and R. These are the two languages that are ruling over the realm and there is no way you want to skip even one if you wish to be a Data Scientist.

If you want to learn how Data Science works, you can take a Data Science course. These courses shed light on a lot of important topics that Data Science encompasses. Moreover, the Data Science Course in India is gaining a lot of ground here. You definitely want to be one of the people to know about the subject while it is still ripe. One organization that teaches Data Science better than the others is Great Learning. They have a fantastic collection of resources that are all given to you for better and comprehensive learning. This is a chance that you do not want to miss out on it.

Python and its uses

What is python?

Python is an interpreted, high-level and general-purpose programming language. Python’s design philosophy emphasizes code readability with its notable use of significant indentation.

What are the uses of Python?

1. GENERAL WEB DEVELOPMENT / BUILDING WEB APPS – Python is one of the simplest programming languages, and we mean that in a good way. “Python, unlike other programming languages, emphasizes code readability, and allows you to use English keywords instead of punctuation…The readable and clean code base will help you to maintain and update the software without putting extra time and effort.”

2. SCIENTIFIC COMPUTING + DATA SCIENCE – Python is also used for scientific research and computing and even has several science-friendly or science-specific libraries including:

  • Astropy for astronomy

  • Biopython for biology and bioinformatics

  • Graph-tool for statistical analysis of graphs

  • Psychopy for neuroscience and experimental psychology.

3. MACHINE LEARNING – Yes, technically, machine learning falls under data science. Using Python for machine learning is pretty cool, so it felt like it warranted an additional line item. Machine learning includes things like speech recognition, financial services, even the recommendations Netflix serves up every time you log in that make you think, “How do they know?!”

4. STARTUPS – This seems like an odd item to include on the list, but it’s true: Startups, and especially tech startups, love Python because it’s easy to use and scalable. And I mean scalable. Take, for example, Dropbox.

5. FINTECH + THE FINANCIAL INDUSTRY – In 2016, HackerRank released a survey of various industries, revealing which programming languages they were prioritizing when hiri.

Phthon-django Training and Placements by DOCC kolkata. Call 9433526196, Visit www.docckolkata.com

Written by U Roy, DOCC kolkata

Will PHP exist in 2021?

You have to read it twice, it’s like will Life exist in 2020? Well, No one can tell you this.

But yes, you can look at the exisiting things as many websites, softwares are built using PHP only. It will totally depend upon the enhancements being made in the future.

As there are many other languages like Java, Python which is taking an edge over PHP nowadays, but we can never say that PHP is less.

As many people and organisations still work on PHP because they find this language as a proper fit for their projects.

Even C++ was developed back in 80s, but still it’s one of the strongest languages. So, one can never answer this question. If you are having interest in PHP and want to learn its basics, then go with it without a second thought.

Remember, Language is a secondary thing, primary are your Logics.

 

On line and Off line PHP,WebDesign,Java,Wordpress,CI, Laravel, Javascript, React JS, Vue JS,Angular JS,Node JS, Python, Django, Machine learning, AI, SEO, Mobile Android Apps Training-Placements and Outsourcing by DOCC kolkata.Call 9433526196.Visit www.docckolkata.com

 

 

 

JavaScript knowledge to start learning PHP?

Do you have to know basic JavaScript to start learning PHP?

 

Both PHP and JavaScript are widely used together: PHP for serving the application, and JavaScript for interacting with the user. (As an alternative to PHP, JavaScript can also be used in servers with the help of NodeJs, but that may not be what you are looking for right now).

It doesn’t matter which one you learn first. However, since JavaScript is part of the HTML/CSS/JavaScript triangle, it makes sense to learn basic JavaScript before getting into PHP.

Then, experiment creating the same exercise with both languages to see how each one behaves.

Find out the reason why you need to learn PHP (based on your question), and why JavaScript is necessary when you use PHP for web development.

 

Do not pay attention when people tell you not to learn PHP.

PHP continues to be an important language to learn for the next decade and there are plenty of jobs available if you’re looking for a career.

Reason #1: The old PHP is gone. The new PHP is PHP7.

Reason #2: Laravel is the hottest framework in the planet. Laravel runs on PHP7 and you can use JavaScript for the front end via Vuejs (or even ReactJS). Both VueJS and React are the darlings of JavaScript right now (along with Angular but that uses TypeScript).

Reason #3: Drupal 8 and WordPress also use PHP7 and there are plenty of jobs out there for developers in this category.

Don’t get emotional with language adoption because it will consume your energies unnecessarily. Both JavaScript and PHP have their places in this industry. Figure that part out and move on.

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JavaScript frameworks for quick software development:  

 

The popularity of Java script grows every day. It’s definitely the best scripting language which allows creating exciting  interfaces and simplifies the development of web applications, being a perfect open source app development software and making the sites interactive and convenient to use.

The Javascript web development frameworks are issued and updated daily and that’s why it is difficult at times to go with the tides and understand which famework is most suitable and best matching for the project.

Before choosing a web app framework to apply the requirement  and needs of the project to be taken into consideration.

The advantages of the frameworks

Javascript  framework is a number of features and functions written in Javascript language and ready  for the usage of the developers. These features simplify the interaction between the app and server and speed up the manipulating of the web page or app elements.

The main advantage of using a web application development  frameworks is the fact that it provides immediate reaction to the user interacting with the site immediately.

The basic content of the traditional sites without frameworks is stored  on the server and any new content , which is necessary to be upload requires reloading of pages. When frameworks are used , only the necessary blocks of a website are reloaded.

Some of the most advantageous benefits of the frameworks ‘usage:

  • COST: The cost of the app development for websites decreases due to the JavaScript frameworks because they are free and open source code.
  • Development speed: Java Script frameworks have good documentations. Some of the JavaScript frameworks are supported by such giant companies as Google etc. Due to such a lot of information, the speed of development increases.
  • Efficiency: The usage of the pre-created functions and templates allows to carry out the projects more effectively. The developers have to write less code, which results in delivering projects meeting higher standards and more quickly.

Most used and popular frameworks—

JavaScript frameworks have now become one of the most preferred web app development platforms for modern single page apps, social networks, e-commerce products and other software solutions creation.

At present, without using frameworks, the development of modern web products has become almost impossible. There are Some companies are still using classical Java Script software incurring higher development costs. As a consequence of classical JS complexity, lot of frameworks have appeared in the market, but the solid leadership in the software development market belongs to these three: Angular, React and Vue.

 

Angular

Angular is a cross-platform framework which keeps to the  MVC architectural pattern and supports a weak link between the display, data and logic of the components( integral parts of the app).  Angular shifts a certain part of server services to the client side and consequently the server workload decreases and the web application becomes lighter.

Due to Typescript the project code becomes clear , convenient for developer’s understanding and contains fewer errors. Angular strong points are remarkable documentations and references.

One of the week points of Angular is the high learning curve for the projects because a JavaScript developer  should know for instance , Type Script to start working with framework. It consequently makes the project  fulfillment  more difficult, especially the work is passed from one team to another. Another drawback of the Angular framework is the frequent release on the new versions. The 8th one already released in June, 2019.

 

React.js

React—is a java script library with open source code for user-interfaces development. For the first  time React was used in 2011in the face book newsfeed, then in 2012 in Instagram.

React is still being developed and supported by  Face book and Instagram. It can be used not only for browser-based web apps but also for mobile apps. The aim of the framework is to provide high speed , simplicity and operability of the apps on various platforms.

However, React is not a full-fledged Framework, but  a function library. To use it as a Framework, other third party libraries should be attached. React strengths are speed, lightweightness, cross-platform format  and big community.

The weakness is the necessity to use third party libraries for complete work which complicates the development process. Another drawback of the library is that it does not follow the standards in HTML or CSS CODE AS Angular and Vue.js do.;

 

Vue.js

Vue– is a progressive framework for user interfaces creation. Vue was made fit for gradual implementation  unlike Angular or React. It means progressive framework  gradually starting from certain pages, which makes the development much easier. The Vue.js creator is Even and You and the framework is widely used in Chinese companies. Not so long ago the repository management  GitLab also switched to Veu.js.

Vue deals with presentations layer tasks in the first turn, it simplifies the integration with other libraries and existing projects. Vue coopted the best features of Angular and React- the speed and lightweightness and the possibility to support such technologies as Type Script and JSX. However along with this the Vue frame remained true to the principles of CSS and HTML code writing. It facilitates quick web application development and makes the processes of project development and support easier.

Thus , for any developer who knows the basics of the front-end technologies will not be a problem to develop or support the projects on Vue.

At present, a small community can be called a weak point of the Frame work as no big corporations support it.  Nevertheless, popularity of the framework grows every year.

 

What to choose?

Every project is unique in its own way and  before starting the project detailed analysis and evaluation is required.

However, there are certain key aspects, which help to choose a particular technology for development:

Speed and simplicity of project development and support.

The speed of the development depends on the technologies, already used in the projects. In case Type Script or JSC have already been applied then  Angular or React correspondingly needed. But in case the project from scratch, it’s better to choose Vue .js due to its compliance with standards.

Trends:

All the frameworks are popular and will keep the leadership in the modern development marketin the coming years. It will not be a mistake to choose any of them . However Vue is vigoursly gaining popularity, followed by React.

 

Mobility and Stability:

Supposing  one framework is chosen and then decided to switch to another one and Vue. js is the best choice in this case because re-writing the projects on Angular or React will mean that the developers will most likely need to switch Type Script or JSX code to classical Java Script and HTML correspondingly.

One more important aspect to consider is the frequency of Frameworks update. Angular has serious updates issued every 06 months, React approximately once in a year. Vue is more stable in this sese and has serious updates once in several  years.

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