Machine Learning Certification

Which Python libraries are mostly used in Data Science?

Python language is the popular and most commonly used by developers in creating mobile apps, games and other applications. A Python library is nothing but a collection of functions and methods which helps in solving complex data science related functions. Python also helps in saving amount of time while completing specific task.

Python has more than 130,000 libraries which are intended for different uses. Like python imaging library is used for image manipulation whereas Tensorflow is used for development of Deep Learning models using python.

There are multiple python libraries available for data science and some of them are already popular, remaining are improving day-by-day to reach their acceptance level by developers

Read: HOW TO SHAPE YOUR CAREER WITH DATA SCIENCE COURSE IN BANGALORE?

Here we are discussing some Python libraries which are used for Data Science:

1. Numpy

NumPy is the most popular library among developers working on data science. It is used for performing scientific computations like random number, linear algebra and Fourier transformation. It can also be used for binary operations and for treating images. If you are in the field of Machine Learning or Data science, you must have good knowledge of NumPy to process your real-time data sets. It is a perfect tool for basic and advanced array operations.

2. Pandas

PANDAS is open source library developed over Numpy and it contains Data Frame as its main data structure. It is used in high-performance data structures and analysis tools. With Data Frame, we can manage and store data from tables by performing manipulation over rows and columns. Panda library makes it easier for developer to work with relational data. Panda offers fast, expressive and flexible data structures.

Translating complex data operations using mere one or two commands is one of the most powerful feature of pandas and it also features time series functionality.

3. Matplotlib

This is a two dimensional plotting library of Python programming language which is very famous among data scientists. Matplotlib is capable of producing data visualizations such as plots, bar charts, scatterplots, and non-Cartesian coordinate’s graphs.

It is one of the important plotting libraries’ useful in data science projects. This is one of important library because of which Python can compete with scientific tools like MatLab or Mathematica.

4. SciPy

SciPy library is based on NumPy concept to solve complex mathematical problems. It comes with multiple modules for statistics, integration, linear algebra and optimization. This library also allows data scientist and engineers to deal with image processing, signal processing, Fourier transforms etc.

If you are going to start your career in data science field, SciPy will be very helpful to guide you for the whole numerical computations thing.

5. Scikit Learn

Scikit-Learn is open sourced and most rapidly developing Python libraries. It is used as a tool for data analysis and data mining. Mainly it is used by developers and data scientist for classification, regression and clustering, stock pricing, image recognition, model selection and pre-processing, drug response, customer segmentation and many more.

6. TensorFlow

It is a popular python framework used in deep learning and machine learning and it is developed by Google. It is an open source math library for mathematical computations. Tensorflow allows python developers to install computations to multiple CPU or GPU in desktop, or server without rewriting the code. Some popular Google products like Google Voice Search and Google Photos are built using Tensorflow library.

7. Keras

Keras is one of most expressive and flexible python library for research. It is considered as one of the coolest machine learning Python libraries which offers easiest mechanism for expressing neural networks and having all portable models. Keras is written in python and it has ability to run on top of Theano and TensorFlow.

Compared to other Python libraries, Keras is a bit slow, as it creates a computational graph using the backend structure and then perform operations.

8. Seaborn

It is data visualization library for python based on Matplotlib which is also integrated with pandas data structures. Seaborn offers high level interface for drawing statistical graphs. In simple words, Seaborn is extension of Matplotlib with advanced features.

Matplotlib is used for basic plotting such as bars, pies, lines, scatter plots and Seaborn is used for a variety of visualization patterns with few syntax and less complexity.

With the development of data science and machine learning, Python data science libraries are also advancing day by day. If you are interested in learning python libraries in depth, get NearLearn’s Best Python Training in Bangalore with real time projects and live case studies. Other than python, we provide training on Data science, Machine learning, Blockchain and React JS course. Contact us to get to know about our upcoming training batches and fees.

Call: +91-80-41700110 Mail: info@nearlearn.com

Top Reasons to Choose React JS in 2020

ReactJS is an open-source and highly used javascript library launched by Facebook in 2013. The main objective of ReactJS is to develop engaging UI that can increase the speed of mobile apps. This is the only library in development that can create impressive web apps with minimum coding and efforts.

Nowadays top companies are using ReactJS in their applications such as Instagram, PayPal, Apple, and Netflix. This Java script library has attracted many developers across the world because of its unique features and currently, Facebook is taking care of React JS with the help of some developers.

Benefits of react js for development:

There are multiple benefits of React JS making it unique from other development frameworks.

Speed

React Js allows users to use individual parts of their web application on both client and the server-side, which results in increasing the speed of the development process.

Flexibility

React code is modular in structure and because of this, it is flexible and easier to maintain. Which in turn, saves a huge amount of time and business cost.

Usability

Deployment of React JS is not a complex task if you have some knowledge of JavaScript. JavaScript developers can easily learn everything about the React framework in just a few days.

Best Python Training Course in Bangalore

Mobile app development

If anyone is considering that react JS is used in development only then it is wrong. Facebook has already developed mobile applications for Android & iOS platforms.

ReactJS framework for your project:

It’s easy to learn

Compared to other popular frameworks like Angular, React is much easier to learn. This is the main reason React has gained so much popularity in very little time. It helps businesses to build their projects in very little time. As React is a simple framework and easy to learn, many businesses and big companies are started adopting it in their projects.

Rich user interface

While developing any application, the user interface plays an important role. If the quality of the user interface is not up to the mark or if it is poorly designed, then there are fewer chances of an application to succeed. React Js allows the developer to build the app with high quality and rich user interface with the help of its declarative components.

Allows Developers to Reuse the Components

If there is a necessity of updating the app and it is built with complex logic then it becomes a headache for the developer as a single change in one component affects other components. But to avoid this problem, React is amplified with the feature-component reusability. With React JS, a developer can reuse the component of some other application by sharing the same functionality.

SEO-friendly

Search Engine Optimization is becoming a gateway to the success of any type of business nowadays. As per the SEO criteria, if there is the low page loading time of any app or web page, there is higher chances that app will rank on the first page of Google.

Compared to other frameworks, React reduces page load time and helps businesses in securing a top rank in Google search results.

Useful developer toolset

To use React JS technology in the correct way, Facebook added React dev. and Chrome dev. tools in the React JS framework. These tools help developer to discover a different type of components, observe and inspect their present states.

Strong community support

As Angular and some other languages are having strong community support, in same way React also has a very strong community support and that is one of the main reasons businesses started adopting React JS in their project.

Every day, thousands of React developers are sharing their knowledge in the form of videos, articles, and blogs on the internet to make React Js a better framework. Also, some React JS experts are every day solving queries of users on Quora and on some other platforms.

Quicker rendering

While developing a complex, high-load app it is necessary to consider the impact of the overall application performance, because the document object model is tree-structured so, minor changes at the top a layer can impact the user interface of an application. To solve this, Facebook has introduced a virtual DOM, which provides better user experience and high performance in less time. React JS is helping the developers to build highly engaging web apps in less time and day by day it is getting more popularity. If you are interested in learning React Js in-depth, Join NearLearn for Best React JS training in Bangalore. We offer a 100% placement facility.

What is the React Js course fees in Bangalore?

React JS is an open-source front-end library developed by Facebook to streamline development and for creating fast and engaging mobile Apps with some least coding. The main approach to React JS is to provide the best performance. React Js allows the developer to breaks down complex user interfaces into simple components.

Also Read: Top 5 React JS & React Native Training Institute in Bangalore

Why to Choose React JS?

There are multiple reasons that make React Js as a choice for frontend development library.

React.js is fast and has a vibrant ecosystem and community. It becomes popular for so many good reasons and Because of this, it is high in demand and actively maintained by Facebook. It’s a lean library that allows building components in a declarative way.

Using React js, developers can write Apps within JavaScript. JSX is the one of great feature which makes react JS easy. Developers can make a new UI and can see it appear in real-time.

React JS allows users to break down complex UI. Instead of working with the entire web app, React JS makes it possible to break the complex UI development into some simple components. This is essential in making every component more instinctive.

With State, it is possible to store all the changes in one single section. While using ReactJS, users can take all the content that can change during the application and keep it in one single location. With the help of the state, a single web application also becomes very simple because all the information is sourced from one single section.

The reason ReactJS become highly popular is because of its simplicity and flexibility. Many people are considering it as the future of web development.

Why React JS is great for businesses

Nowadays, businesspersons and developers are always looking for some good options to give their businesses a competitive advantage. One great solution for helping enterprises to beat their competitors is creating web apps with React JS.

Businesses that are using ReactJS technology are getting better performance compared to other businesses who are using other technology because ReactJs offers high CTR, better user engagement and conversions.

React JS courses in Bangalore

As there is much more demand for React JS training in Bangalore, There are many course provider institutes available in all locations of Bangalore. One can take online Training or Classroom training.

Online training: if you have some basic knowledge of React JS and if you have that confidence that you can learn the things online without taking any instant help from trainer then an online course is the best option for you. It also saves time reaching to the institute and you can complete your course according to your time only. The only disadvantage with online courses is, if you have any difficulty while attending the session, you cannot ask it immediately to the trainer.

Classroom Training: If you are completely fresher in React JS Technology and want to learn all the things from scratch, then classroom training is the best choice. In classroom training, you can ask you’re all the doubts and queries to the trainer and you will get a better understanding of all the things. In classroom training, you will also get a chance to work on real-time case studies and also can attend some tests.

React JS course fee structure in Bangalore

There are so many React JS training institutes available in Bangalore to build your skills and knowledge, and all the institutes have a unique fee structure.

If you want to learn React JS Technology, You need to pay around ₹20,000 to ₹25,000 (+GST). NearLearn is the only institute in Bangalore which provide high quality React JS training in Bangalore at an affordable cost. We always give some discounts on course fees and the actual price also gets drop during some offer period. Currently, we are providing Reacts JS course at only ₹18,000.

Why Choose NearLearn for React JS training

Affordable fees
Online, classroom and corporate training available
We Have industry expert Trainers.
Updated curriculum
Live Projects
Real-Time case studies
40+ Hours of Classroom Learning
100% job assurance in reputed companies only
24/7 support to solve queries instantly.

NearLearn is one of the top training provider institutes in Bangalore. We conduct online, classroom and corporate training programs for React JS and all other courses such as React Native, Machine Learning, and Artificial Intelligence, Data Science, Deep Learning and Python training in Bangalore, at very affordable prices. We also provide 100% placement assurance for all students. If you want to join any course, you can contact us on +91-80-41700110 or you can write your queries to info@nearlearn.com

Use cases of Blockchain technology in various industries

Blockchain technology having so many advanced features which makes it unique and popular. In Blockchain, every transaction or block is having a time stamp which means no one can modify it. Some advanced features of Blockchain includes encryption, decentralization, transparency, east tracking, immutability, and automation. These features can be applied to various industries for their work, creating multiple use cases for them.

Blockchain in Travel industry

Travel industry is one of the fastest-growing industry. Customers and tourism service providers both can use Blockchain applications. With use of Blockchain, customers can easily access all the travel-related information of their destination.

Travel agencies also need to share the information of flight and accommodation to the customers which is manual process. Blockchain can bring transparency in flight and hotel booking by sharing all information to customers instantly.

Blockchain in Healthcare

The traditional process of keeping healthcare record is not safe where the doctor might lose important factor and history of patient like allergy of particular drug etc. with manual record and files. Blockchain technology can keep track of patient’s medical history from birth even if the patient misplaces the prescriptions and records.

Real Estate

Nowadays, buying and selling property is a very long process and there is no any transparency during the transactions. It includes lot of paperwork, possibility of frauds, and errors in property records. Blockchain helps to speed up property related transactions by reducing paper-based records. Helping investors to reduce transaction costs from both sides of the transaction.it also help to check all the property related documents are accurate and verified.

Oil and Gas Industries

Oil and gas related companies having several issues related to transparency, efficiency, and optimization. Blockchain technology can automate billing processes in real time, clear payments, increase business process efficiencies and reduce overall costs related with oil and gas distribution.

Supply Chain Management

One of the important feature of blockchain technology is that it can monitor transactions in more secure way. Supply chains basically includes movement of products from one point to the other till final deployment.

With use of blockchain, as products move across a supply chain like from manufacturing to sale, each transaction can be stored in a permanent decentralized record with elimination of time delays, extra costs, and manmade errors.

Government and Public Records

In government sector also blockchain can help reduce paper-based processes, eliminate fraud, and increase accountability between both parties.

Charity

Blockchain can help people in tracking donations of charity. With help of blockchain one can precisely track where your donations are going, and where they ended up in.

Human Resource Processes

In IT sector and in other organizations, before hiring employee there is need of background verification and checking employment histories which are manual and time consuming tasks for human resources professionals. If we save employment records in blockchain, it will be easy for HR Professionals to streamline the selection process and move ahead quickly towards hiring process.

Education and Academics

Whenever someone takes admission in school or college, first time consuming process everyone need to face is document verification. In schools, colleges or in universities, verification of academic credentials is a manual process including paperwork.

Applying blockchain solutions in education and academics can definitely streamline verification processes, thereby reducing time and paperwork.

Cloud Storage

Some organizations offer cloud storage in order to secure customers’ data on a centralized server, which means all the data is secure from attacks by hackers. Integrating Blockchain technology in cloud storage solutions allow more security for customers’ data and therefore less chances of cyber-attacks that can cause extensive data loss.

Stock Trading

Since long time many companies have worked to make the process of buying, selling, and trading stocks easy. Nowadays some startup companies started installing blockchain to automate and secure the stock market related processes in more efficient manner than all the past solutions. Adopting blockchain systems are transforming the transaction processes across almost all the industries. Also in employment sector, there is huge demand for blockchain experts. NearLearn provide Blockchain Certification Course in Bangalore at affordable fees. We also provide placement assurance to every student. If you have any queries related to blockchain training course, you can contact us on 8041700110 or drop mail: info@nearlearn.com

How Blockchain technology can transform Government sector?

Blockchain Technology is making its impact in almost every industry like from medical to banking it is having its use and applications. Like this, it is also playing an important role in government sector because of its unique features. One of the main important role of government is managing civilians’ private and personal information like birth and death certificates, educational data, and real estate records. It is very important for government to keep this records and data safe, and Blockchain is helping to manage this data more securely and in effective way.

Blockchain is real-time and online record on which we can record anything like supply-chain information, contracts and financial transactions. One of the most important feature of Blockchain Technology is that no any person can interfere the chain. We can see the details of each block and record but only the person can edit the record or block who is owning the Blockchain or having the private key. Blockchain technology offers data security and reducing some transaction costs and because of this, global Blockchain market can exceed to almost $19 billion by 2025.

Also Read: How much will it cost for Blockchain Training in Bangalore?

In future, Blockchain is going to affect most of the public sector functions:

Data Security:

Any organization or entity is having risk of cyber-attack who is handling large amount of personal information or data. In 2015, hackers stole all the personal information, fingerprints and records of America citizens. Blockchain security is not fully guaranteed but it definitely create hurdle to hackers.

Voting:

As Blockchain technology is having transparency, government thinks that it can help to prevent election fraud. One of Blockchain startup is already working in Boston to integrate a secure Blockchain in voting process including identity verification. This type of application also compatible with mobile and tablets, which can provide voting access in rural areas too.

Simplifying administrative processes:

Blockchain Technology can streamline government processes by removing mediators. For now, any third-party or bank acts as a trust agent between two parties in any contract. Instead, if there is use of Blockchain Technology, both parties can share data and quickly and in safe way. For example, property owner can use Blockchain to enable a real-estate transaction, with all the appropriate information being recorded and approved by both parties, seller and buyer. If there is use of Blockchain technology in real estate transactions, approval time and the paper work will definitely decrease.

Streamlining educational data:

Putting professional and educational accomplishment information on Blockchain allows entities to control and access their data. It also enables employers and universities to verify attestations for courses and certifications achieved.

Vaccination tracking:

Vaccination is very important part of government activities. Putting vaccination data on encrypted chain enable government schools and medical providers to confirm vaccinations rapidly. This process activates related micropayments and representatives access to benefits depending on medical status.

Tracking student loans:

One of application of Blockchain technology is smart contract. This smart contract can be programmed for government use to manage and track student loans with all the term and conditions. Such system increase transparency and security in tracking and managing loans with real time data access.

Collection of payroll tax:

Tax collection is one of the main and bit difficult, time consuming process for government. Blockchain technology can help in tax collection with smart contracts. This smart contracts can simplify the tax collection process by matching income transactions with tax amount and other deductions. With Blockchain based system, tax payment will automatically send to individuals which brings transparency, security and speed in tax collection process.

Currently, many government entities started using Blockchain Technology such as banking, education, manufacturing and many more. Likewise, leading technology industries also started introducing their Blockchain projects for government use, which is helpful in secure, transparent and efficient transactions.

If we see Blockchain Technology in employment sector, there are so many career opportunities related to Blockchain technology. And now days all the government and private organizations started using Blockchain transactions in their day to day activities and this is because it is transparent secure and efficient. So in future, definitely there will be more number of jobs opportunities available with attractive salaries. NearLearn is one of the best institutes in Bangalore providing Best Blockchain Training in Bangalore. If you want to know more about our course and information related to it, please contact www.nearlearn.com or call: 8041700110

What are the applications of Blockchain in the Banking Sector?

The Blockchain technology is irreplaceable and has put its impact on so many industries from healthcare to banking and many more. Using Blockchain in these industries is making forever impact on them. So, in banking sector also use of Blockchain results into better security, transparency and banking transactions.

The World Economic Forum has considered Blockchain technology as backbone of the financial system as it is making banking work more easy and secure. This shows that Blockchain will play important roles in the financial sector for sure. Here are some applications of Blockchain Technology in banking sector.

Fast-paced transactions

Involvement of third party in transaction process takes very long time in banking to complete transactions. Usually this process takes time from some days to few weeks. Such transactions where payment gateway is used can be replaced by Blockchain technology with real time payment solution. With use of Blockchain, transactions can take only few seconds to complete. So, in few days only, Blockchain technology will eliminate payment gateways and result into fast transactions which will save time of everyone.

Lower cost of financial transactions

The time required to complete banking transactions results in more financial cost. Removing payment gateways from transaction process will result in low transaction cost. So, this will eliminate third-party charges from all financial transaction in the banking sector. This will become advantage for businesses as well as individuals who conduct financial transactions on daily basis.

Fraud Reduction

The use of Blockchain technology can reduce fraud in the banking sector as Blockchain is distributed ledger system where each and every transaction block has its own and unique timestamp. In Blockchain technology each block of transactions are link to past transactions. Thus, it can cut down crimes and frauds in online financial transactions and save banking industry from cyber-attacks.

Help in KYC (Know Your Customer)

All over the world, in every year banks spend million dollar for running know your customer campaigns. Blockchain technology offers transparency to each transaction. If we are using Blockchain technology in the financial industry, No one can delete or interfere the transactions. This is because this technology locks each transaction with a unique timestamp. With Blockchain, one can verify transaction over the internet with ease and comfort. This surely helps banks to know their customers.

Why to adopt Blockchain in Banking?

Current banking systems are highly dependent on paper work and old process and what they need is to have an upgraded system surrounded with trustable technology that could detect and resist frauds and security issues. The Blockchain technology is the one that can give the banking systems security, transparency and fast transactions.

We cannot consider banks as independently operating organization as there is involvement of intermediaries for all processing and transactions. Also, the transfer of money on an international scale still take up to 4 to 5 days along with some risks. With help of Blockchain system, banks would be able to transfers money quickly without even having the risks as the system would be able to resolve any problem.

Day by day, the world is going digital and because of this, even small payments and transactions are also processing digitally. The Blockchain technology can make every transaction possible with fast speed along with the minimum charges and scalability of transactions.

Advantages of adopting Blockchain technology in any Business

Process Integrity

Improved Traceability

Better Security

Faster processing

Greater Transparency

Increased Efficiency

From above listed points, we get an idea that Blockchain technology is unique and it can impact and transform the banking sector with its unique features. There are so many career opportunities available in Blockchain technology and now days many institutes offering classroom and online Blockchain training course. NearLearn is one of the top institutes which offer Blockchain Training course in Bangalore with 100% job assurance. Along with Blockchain, we provide machine learning training with python, Data science training, Deep Learning training, Python Django Certification, React JS training, React Native Training, Artificial Intelligence, and many more. If you want to know about our course and other training programs, please contact us at www.nearlearn.com or Call: 8041700110

Also Read: HOW BLOCKCHAIN TECHNOLOGY CHANGE THE WORLD?

How does Blockchain Technology affect the Corporate World?

Blockchain is an advancing and promising digital technology for performing, tracking and authenticating transactions in a trustworthy and open way, without any need for mediator. Blockchain technology allows businesses to conduct transactions from start to end without having any central authority. It provides transparency to the transactions and makes it more secure.

Blockchain could have some severe effects on the future of businesses. In other words we can say, Blockchain technology started making business operations very easy. And because of security and simplicity, Some U.S. organizations like federal government, IBM, Walmart and Amazon Web Services already started investing in the Blockchain technology.

Also Read: How much will it cost for Blockchain Training in Bangalore?Some of the organizational impacts of Blockchain include:

Supply chain tracking:

When it comes to transparency, Blockchain and business are closer terms. Mostly Business owners have all the information of who is supplying raw material, but Blockchain technology can help them by bringing more openness to the supply chain. For example, in the food related industry, if something goes incorrect, it’s very important to have firm records that can trace each product to its source. Because of this, some industries like Walmart uses Blockchain to keep track of their material, products, their source and even expiry date. Nestle is one company which is using Blockchain technology for logistical tracking.

Reducing operating expenses:

With help of Blockchain, businesses can send and receive payments through “smart contracts’’. These can eliminate the expenses on brokers and middle agents. Smart contracts are nothing but the self-executing computer programs which executes in order as arranged by the creator. There is use of cryptographic code which make contracts transparent, secure and automatic.

Asset protection

As per the Cyber Security department, cybercrime damage costs are predicted to be in million and trillion dollars annually by 2021. But Blockchain technology can help to eliminate this huge cost. As Blockchain transactions don’t need any centralized storage system and can’t be interfered, they becomes safe. Blockchain store data using complex math and some software rules that are impossible for attackers to interfere and hack.

In Blockchain technology, each block present into the chain contains a very difficult and cryptographic reference of the preceding block. This creates a unique encrypted digital fingerprint making it secure and no one can interfere with it.

Eliminating the role of middleman

As many businesses and organizations like banks, contracts started adopting Blockchain, there is no requirement for the third party or middleman as cryptology is taking charge of middleperson and their work. It can help banking sectors and companies to reduce the cost on third party.

Limits Risk of Human Error

Blockchain interactions are programmed and take less time for execution. Without any external third party’s interfere, Blockchain can minimize mistakes and overall costs. With adoption of Blockchain, many industries are experiencing accuracy and transparency in their businesses.

Real-Time Automation

Blockchain technology fundamentally automates processes, and because of this, some formal client agreements also benefit from a Real-Time automated approval process. Implementing Blockchain in businesses as a standby for the typical approval processes including multiple executives cut down project delays and create positive impact on both clients and organizations.

Benefits of Blockchain technology for businesses

1. The Blockchain technology permits for verification without any dependency of middle person or third parties.

2. In a Blockchain, the data structure is add on-only. So, the data cannot be skipped, altered or deleted.

3. To secure records of data, it uses protected cryptography. Also, every record is dependent on its adjacent completed block to complete the cryptography chain.

4. All the information and transactions are attached to the block of Blockchain only after the process of trust verification.

5. As all the transactions are recorded in consecutive order, all the blocks in the Blockchain are time marked.

6. Information is distributed across every single node in the Blockchain

7. The transactions stored in the blocks are enclosed in millions of computers of participants who are joining the chain so, it is decentralized.

8. Each and every transaction is transparent. So, the individuals who are having authority can view the transaction.

9. It removes the risk of duplicate entry, as there is use of various agreement protocols to validate the entry.

Blockchain technology already started providing replacement for traditional middlemen and corporate players to take place into new markets. So, learning what Blockchain technology is and how it works is very important. Get Blockchain with Python Training in Bangalore at affordable fees by NearLearn. Contact us to get information about our upcoming training batches and fee structure www.nearlearn.com or mail info@nearlearn.com

Why Python is Best Programming Language to Learn Data Science?

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Data science certification course bangalore, Data science certification in bangalore

The data science industry is the one in which you can make your career for continuous growth. Nowadays most of the organizations are using data to make predictions so they can make a plan for future growth. The role of a data scientist is to process the data and organize it with different methods and algorithms. Every day the work with large data sets, make decisions and provide recommendations to organizations in easy to understand language.

Along with Machine Learning and Artificial Intelligence, Data Science is also becoming a more popular choice to make a career. For this, one should have the knowledge of programming languages and Python is becoming the more popular language to learn Data Science.

Why Python is preferred for data science?

Python community is considering Python as the best language for programming as it is ideal for algorithm implementations, supports structured programming and object-oriented programming. Also, it is capable of handling embedded systems and website constructions. This language is very easy and can be learned by taking an online certification course.

Easy to learn

The most interesting feature of Python is that it is very easy to learn and even beginners can learn it very easily and quickly. This is the reason learners are choosing Python language to learn Data Science. When it comes to working professionals also, who have a short period of time to learn, they also choose python as it can be learned in very little time. As compare to R programming, python has easy syntax and can learn in less time.

Scalability

When we compare Python with other programming languages like R, Matlab, and stata, python is best when it comes to scalability. Because of this feature, it gives data scientists flexibility and multiple ways to solve multiple complex problems. Because of its multiple features, YouTube also migrated from another language to Python. Many industries started using Python for their application development.

Choice of data science libraries

Another main advantage of Python is it offers the key benefit of using python for data science is that python offers an extensive range of data analysis and data science libraries. They are pandas, Matplotlib, NumPy, SciPy, and scikit-learn. These are just a few libraries, and Python is continuously adding and updating libraries to this collection. Many developers who use Python got that this robust programming language offering new solutions to problems that previously were not able to solve.

NumPy: it is important to perform mathematical computations with Python such as matrices and multi-dimensional arrays.

SciPy: It offers effective practices for numerical integration and up-gradation.

Pandas: helps in delivering data structures and operations to change time series and numerical tables.

Matplotlib: It offers 2D data plotting in the form of histograms, power spectra, bar charts, and scatterplots with nominal coding lines.

Scikit-learn: It acts as a machine learning library that leads to classification, clustering algorithms that involve support vector machines, logistic regression, naive Bayes and random forests.

Python community

One reason that Python is popular nowadays is its community. The community is finding a solution to almost every complex problem which was never been easier. All you have to do is a quick internet search, and you can easily find the answer to any question related to python or you can also connect with others who may be able to answer your question online.

Graphics and visualization

Python’s Matplotlib offers many visualization options. This library is also base on the development of libraries like Seaborn, pandas plotting, and ggplot.Python is easy, simple and powerful and because of this it is widely used in a variety of contexts, some of them are not connected to data science. R is also one of the popular languages for data analysis, but it is difficult to learn. To get a job as a Data scientist you should learn python and other skills. One of the best ways to confirm that you stand out to recruiters is to have the right skill and knowledge. Getting your certification in Python with data science from NearLearn is the best way to get your resume noted by the recruiters. NearLearn provides online as well as classroom training for the same. Contact us today.

Top 8 skills to Become Data Scientist

Data scientists require a large number of technical and non-technical skills as they are working with a huge amount of data. They should have knowledge of mathematics, statistics, programming languages, and good communication skill. Data scientist mostly works with a large team and they are responsible for evaluating and collecting results from a large data set. From these results, companies take the best decision for business which turns into the growth of the company and can stand in the market for competition.

Essential Data Science Skills

Data Visualization

There is a large amount of data businesses generate every day. This data should get transformed into a specific format that is easy to grasp visually as humans can understand the information from pictures and chart form instead of raw information. Data scientists should be able to visualize data with visualization tools like Matplottlib and d3.js. These tools can convert composite results in an easy format.

With data visualization, organizations can directly work with data and can understand things that will help in analyzing a business.

Programming

Programming skills are a must-have part of the field of data science. Along with mathematics and stats, data scientists need lots of programming skills to present their knowledge and skill. Actually, without programming, no one can put knowledge into practice and for data science, programming is important to solve problems. Some of the important languages are Python, R, Hadoop, and SQL.

Machine Learning and Artificial Intelligence

Machine learning is part of AI which makes a computer capable of learning data by using statistical models. If you are a data scientist you should know machine learning techniques such as supervised learning, semi-supervised learning, and unsupervised learning. Speech recognition, traffic predictions, self-driving cars all are examples of machine learning.

Mathematics & Statistics

If you are not good at mathematics, then data science is definitely not a good choice for you. A proficient Data scientist should have knowledge of linear algebra, distributions, calculus, and discrete math. A data scientist should also have an understanding of statistics and theorems, rational numbers, logarithmic and exponential relationships.

Business Expertise

As a data scientist, you should have an understanding and knowledge of almost every type of business and their requirements to solve problems. The main work of data scientist is to understand the business problem and translate them into data science solutions by implementing skill which will be beneficial for the growth and success of a business.

Communication skill

The most important criteria for a strong data scientist is communication skills. A data scientist must be capable of analyzing data, and can fluently explain their conclusions to technical as well as a non-technical team. Along with fluency in a language, a data scientist must know the storyline creation of data as it becomes easy to understand for everyone.

Teamwork

Teamwork is one of the important quality of Data Scientist as they can’t work alone. It is a field where we need to work with several teams on several projects. Data Scientist has to work with a number of teams from the company like business analysts, sales & marketing team, software developers. The purpose is to understand customer requirements, development of products & deliver them on time.

Data Wrangling

It is the process of converting and plotting of data into different formats. The analyzed data is sometimes not in proper format which can result in missing values. For this reason, you need to make your data clean and present it into proper formats.

Along with these, there are some more technical and non-technical skills that data scientists should have. Such as the ability to Work with Unstructured Data, Data Intuition, Intellectual curiosity, Problem Solving skills, etc.

All above mentioned are some important skills that will lead to being a successful data scientist. It’s the best time to advance in this field and acquire all the needed skills to be a data scientist. NearLearn offer the best data Science using python training in Bangalore for the last some years. For more information please contact us.

Machine Learning Future Scope in 2020

As machine learning comes into the picture, there is no need to teach computers how to solve complex problems such as text translation. Instead of this, we can build the systems that will let them learn to perform tasks by themselves only.

What is machine learning?

Machine Learning is somewhat related to Artificial Intelligence. It is focusing on to solve complex problems but its main goal is to allow systems to learn automatically without human interference. Nowadays humans getting more addicted to machines and already started using this technology in various field and this is the reason the future of machine learning is going to be very bright.

Applications of machine learning

Banking: After realizing the advantages of machine learning, banks are using the power of machine learning to improve the business, increase revenue, and to perform efficiently. Machine learning also helps in loan management and approval which results in enhancing the customer experience.

Healthcare: machine learning becoming very useful in the healthcare industry as it can help to monitor patient’s health and can keep the track of patient’s reports in real-time. It also helps in delivering accurate data on time which can lead into improved treatment and diagnosis

Digital Marketing: as machine learning is stepping into almost every domain, it is helping the digital marketing field too. Chatbots are using machine learning technology to assist customers 24 x 7. It also helps in creating advertisements that can convert into a sale. It can optimize the website for voice search queries which is a trending technology nowadays.

Education: machine learning can identify weaknesses of students and can give suggestions to improve. It can also support teachers by helping them to improve their lessons. It also helps to check how much lessons students are able to learn

Retail: based on your previous purchases, most of the websites are recommending you the items that you might like and this is only done by machine learning. This technology can analyze your search and buying history and can recommend the products. Retailers are taking its advantage to optimize prices, inventory management and to implement a marketing campaign.

Oil and gas: for the oil and gas industry there are a number of machine learning use cases and they are still expanding day by day. Machine learning is helpful in finding different types of energy sources and analyzing which type of minerals are there in the ground.

Future Predictions of Machine Learning:

· For more accurate results, instead of a single entity, different computational entities will be cooperating together in the future. The achievement can be restricted if there is a single entity, but if there is collaborative learning, it can generate better learning results.

Quantum machine learning algorithm will deliver fast results than a classical algorithm
Nowadays we are getting popups for recommendations that are not related to us or maybe we are not interested in them. In the future, we can expect more relevant and personalized recommendations and preferences.
In supervised learning, it is necessary to provide a set of labels to study patterns but unsupervised learning will start learning algorithms without any set of labels. In future ML will use only an unsupervised algorithm that will contribute to accurate results.

Benefits of machine learning

Identification of trends and patterns: machine learning can analyze and review a large database and can easily identify trends and patterns. Machine learning can track and understand the purchase histories of the user and help them to show correct items or products.

No human involvement needed: machine learning means giving the ability to the machines to learn itself and make predictions by improving algorithms. Anti-virus software is the most common example of this as they automatically start filtering when new information or data is detected. ML can also detect spam.

Continuous Improvement: as machine learning automatically learn itself, its algorithm continuously gains experience and keep improving in terms of accuracy. More amount of data we are providing to systems, more accurate results it is showing.

Handling Multi Variety Data: Machine learning algorithms can handle a large amount of data no matter is one dimensional, multi-dimensional or multi-variety of data. A large amount of data we provide to systems can make better predictions and can provide us more accurate results.

Thus, we have studied the basics of machine learning and the future scope of it. Along with, we have studied its advantages and application in different fields which are helping us in our real life. As a result machine learning will become more trending by 2020. Machine learning is booming in the employment sector also and everyone is trying to make a career in this field. NearLearn is one of the best institutes which offers machine learning certification training in Bangalore with placements. If you want to know more about our machine learning training and certifications please contact us. Related Post: How to become a Certified Machine Learning Engineer?