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Codegnan offers C language training in Vijayawada with best in class industry experts, live projects and Internships. Join Codegnan for C Language Training for 100% placement assistance

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Benefits of Internships and its Importance

Importance of internships Internships– This is the latest buzzword among students. In this digital era, the students have a wide exposure apart from libraries and college lecturers when we compare with the previous generation. E-Books, Podcasts, Educational apps and other e-learning facilities have made learning easier than ever. More opportunities, more competition- this has been the current scenario in the student world.

After they complete their final exams, students would eventually enter the corporate world in which the scenario is totally different from their student life. CP Gurnani, CEO & MD of Tech Mahindra has revealed that only 6% of engineering graduates are fit for hiring. “The top 10 IT companies take only 6% of the engineering graduates. What happens to the remaining 94%?” he asked. Taking up internships would be the best choice if you are willing to rank yourself among these 6%.

What is an internship and why it is important? Among the young prodigies who are set to create a spotlight for themselves in the industry and the corporate world, who would stand apart in the crowd? How can they prepare themselves to face the challenges of the corporate world? The secret mantra is Internships.

Basically, internships are said to be the structured work experience that a student gains with respect to their career goals. The experience should add value to their career, academic and personal development. The internships can be paid, unpaid and either part-time or full-time. The main advantage of internships is that you get professional supervision which is a must to differentiate your theoretical learning from practical applications.

What is the need for an Internship? Internships for engineering students have become a necessity. Nearly 7.5 lakh students have enrolled in engineering courses in 2018. The factor that segregates them while seeking entry-level jobs is the experience. You can’t expect a 21-year-old student to possess 15 years of field experience (We don’t really expect a 6-year-old to start working as a data scientist). But when we take a closer look into the industry scenario, with the advancement of technology, the requirements are more demanding.

The real-time industrial needs are different from your academic lessons. Hence students are supposed to get ready to take up internship opportunities to adapt themselves to the industrial needs. Students can take up various internships in Vijayawada according to their interest.

The IT industry has become extremely competitive with new branches of technologies like Data Science, Python coding and much more. Students who have plans to enter the wide arena of permanent IT jobs should prepare themselves academically and practically with specific internships for CSE students in Vijayawada. You need not head to metropolitan to get the best internship experience. There are affordable internships in Vijayawada for cse students 2018. Hence it is the need of the hour to enrich your skill-set with internships.

Not all students will be inclined to engineering stream, but it is essential for them to make a mark for themselves. Have a creative knack? Love to go online? Then digital marketing is their safe haven. Why not take your career to next level with digital marketing internships in Vijayawada?

Benefits of Internship Benefits of Internships and its Importance 2 There are multitudes of benefits associated with internships. We have listed a few vital ones:-

Students can explore your career When we were in college, you would have been inspired by a particular staff. That staff who taught you instrumentation or AutoCAD might have been your role model or that seminar on telecommunication might have impressed you. Hence you might have opted for a career in that stream. But is that the right way? Will that is a suitable choice for your life long career? To find answers to these questions, internships are a must. There might be other areas which you find more comfortable to work at. By attending an internship, you can sort it out with ease. In addition, they get to learn how to complete their tasks within the allotted deadline. Time management is an important factor that would help them establish themselves in their career. They learn it while they are interning.

What skills do they develop through it?

Career management Time management Project completion Teamwork Read more: 10 Best Programming Languages for Data Science

Students would learn how to communicate and work as a team Students should understand the difference between communicating with their friend and their team-lead. They would get a grip on their corporate skills. They would understand how they can improve their team skills, how to lead their team and how to stay diplomatic in case of an issue. This would help them to understand the value of their positive attitude. More than anything, this would help them pitch themselves in the right manner.

What skills do they develop through it?

Communication skills Corporate skills Diplomacy Positive attitude Students would learn the value of Networking Networking is a boon for students who are willing to broaden the bandwidth of their network. When they are going to attend internships at organizations, they will be able to meet the industry experts and get their contacts. Even if they are not going to be employed full-time, these references and guidance would help them a lot in their career. References can help students at any point in time when they are searching for a first job or even after they are experienced for over 5 years. It is a must that students start building their network.

What skills do they develop through it?

The talent of networking References Employee guidance They get to understand the value of money As a student, earning money is always on the backstage. You do not get more opportunities to earn while you learn. As an intern, students get to understand what effort it really takes to earn more money. This would increase their maturity level and money planning abilities. This is one of the most important additional perks of an internship program. As a student, they would also learn how they can invest their money and spend it productively. This would help them inculcate the habit of saving money right from their student hood.

What skills do they develop through it?

Saving Money Investment skills Spending more wisely In a nutshell, students would be able to develop their skillsets to the next level through internships. They would be able to take up opportunities and more responsibilities easily. They can understand the industry scenario and pitch themselves wisely. With all these in mind, students who are interning would be able to carve a name for themselves in their future workplace. Hence every student should make the best out of the internship opportunities that are provided to them.

Looking for software internships in Vijayawada? Then the right place for you is Codegnan. We offer you a wide range of high-quality, affordable training from Digital marketing to Data science. Contact us to know more about the training programs that we offer

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Programming Languages used for Data Science

To work as a data scientist, one must have analytical and quantitative problem-solving skills and ability to act quickly in times, when it is direly needed.

However, being a data scientist does not limit it only to the ability to solve problems. In this age, when new languages are being developed so frequently, it is the need of the hour that the data scientists know the working of main languages.

If you have made your mind to study and work in the field of data science, then here are a few languages that you would like to start with.

Do not overwhelm yourself with many languages but start slow, get a hold of one language and then move to the next.

Pick the language that is more in demand in the marketplace.

Here are the Top 10 Programming Languages for Data Science 1. Python Guido van Rossum designed Python in the year 1991. Since its inception, it has been very popular and one of the favorite general purpose languages among the data scientists.

If you are a new programmer, Python is a language that is highly suggested to be learned at the beginning of language learning career.

It has lots of modules and community support for functionality.

So there will never be an issue of support system. It has a collection of libraries such a Google’s Tensorflow which makes it more interesting.

Want to learn python?  We provide the Best Python Training in Vijayawada. Book your seat now.

2. R Programming R was released in the year 1995. It is an updated version of S programming language. R has been improving in its functions day by day.

It includes a good range of open source packages which are of high quality. It has an exhaustive library of all the packages be it for a quantitative application or statistical application.

R has the capability of handling the matrix algebra. The libraries included are ggplot2, and the main strength is data visualization.

It has many community programmers that contribute to the open source. Its accessibility is free so that means you can learn it from anywhere.

Want to learn R Programming?  We provide the best R Programming Training in Vijayawada. Book your seat now.

3. Java If you have worked on a computer, you are already well aware of the popular Java language. It is a general-purpose language, and it works on Java Virtual Machine.

Java backend is used to build many modern systems. It has this system where the developers can integrate the existing code base and the data science methods. It is a compiled language. Once you know the Python or R, you can consider learning Java as your next programming language.

Many companies need Java programmers as team members for sure.

Read more: 2 Major frameworks for Web development with Python

4. Julia Julia is free to access programming language and has a good impact in the field of numeric computing.

Since its inception, it has been used by the financial agencies and that is why it evolved as a programming language that is good with numbers.

It has just-in-time compiling which gives excellent performance. Like Python, it can provide the capability of scripting and the dynamic type.

Even though it performs numerical based programs, it is designed for general purpose programming as well. The base library of Julia is integrated with open source C.

5. SQL Structured Query Language was developed in 1974, and since then, it has undergone many changes and improvements.

It is used to manage the relational databases by defining and managing them. It has an easy syntax that makes it fun to learn and it easily understandable.

If a company has to manage a large database system, it uses SQL for the same. It is a skill set that you will find useful at some point in time in your programming career.

It can also be used in different type of applications. Integrating SQL with other languages can be very easy too.

6. MATLAB MATLAB is developed by the Mathworks. It is developed in the mid-1980s.  It is a paid programming language. It does the computation of numerical data.

It performs complex operations such as matrix algebra, signal processing, etc. It also has the capability of data visualization.

This language is used in the field of data science much often. This makes it an ideal language to learn.

Even though it is not for general purpose programming, it is very useful for the numeric data.

It is a language well known in the field of mathematics and scientific matters which means that it is used in the different types of applications available today.

Read more: Importance and Benefits of an Internships – Codegnan offers wide range of Internships check it out – Internships in Vijayawada

7. C C is one of the oldest languages in the list of programming languages. It acts as a base of many new age languages.

If you want to learn about the basic of programming language, then starting with learning the C language is a good option.

The practical uses of C language are – it is used in the systems like car dashboards, televisions etc.

Want to learn C in Vijayawada?  We provide the best C Language Training in Vijayawada. Book your seat now.

8. SCALA Scala is a language developed by Martin Odersky in 2004. It has both functional and object-oriented approach which makes it a multi-paradigm language.

It runs on the Java Virtual Machine, and this makes integration with the Java language very easy.

If the developers are working with a large amount of data, then Scala is a good choice to work with. It is also good for data science.

If you have already the knowledge of Java, this will be an ideal language for you to learn.

Even though it is useful for the high amount of data, if you still use it, it provides the best productivity as compared to other languages.

9. F# F sharp is an open source programming language which works cross-platform.

It is a reliable language developed by Microsoft and the contributors. It solves the computing issues which are complex by using robust and straightforward coding.

It is a favorite of many big companies as well as open contributors’ community. You can learn F sharp free from the internet.

10. SAS SAS language is very popular in the community of data science.

It comes with the user-friendly Graphical User Interface that makes it easy for learning. It comes with lots of statistical functions that make it in demand language.

If you want to work as a programmer in the analytics industry, it is a good option to learn SAS language.

Once you know this language, you can be confident about your career in the commercial analytics industry.

Conclusion The programming languages mentioned above are presented here keeping in mind a few of the specific things that are important for data science. The language should be productive in its use whether the companies or the open contributors are using it. It should provide whatever is expected of the language.

The performance of the language should be error-free and quick. If the data is high in volume, the language should be able to manage it easily in less span of time. If you are a data scientist or planning to become one, then these languages will be beneficial for the growth of your career.

Start by choosing one language that interests you and learn it until you become efficient in one. Once you know one language well, and then proceed with the next language. It does not matter how many languages you know but what matters is that how proficient you are in the language of your choice.

Codegnan is the best institutional training in Vijayawada. We created more sophisticated path to learn and enhance you career opportunities. We offer Data science Training, Java Training in Vijayawada, Data Science with Python Training in Vijayawada, Machine Learning Training in Vijayawada.

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Codegnan is the best place for internships in Vijayawada. Internships are the best way to explore the frontiers of your career. Internships for engineering students are a must to ensure a successful career in this competitive atmosphere.

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Know more about Data Analysts and their average salary. Data analysts are those analysts whose work is to translate figures from complex English to normal English. v

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Know more about Data Scientists, average salary of Data Scientist and their roles and responsibilities and what skills do Data Scientists have? And How Codegnan helps you to become Data Scientist

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Know more about Data Engineers and Average Salary of Data Engineers. The data engineers are usually a member of the analytics team who provide readily processed data to the scientists or analysts, who would then just run queries using the tools that these engineers designed

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"These are the 10 Best Programming Languages for best use of Data Science. If you have made your mind to study and work in the field of data science, then here are a few languages that you would like to start with.

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Programming Languages used for Data Science

To work as a data scientist, one must have analytical and quantitative problem-solving skills and ability to act quickly in times, when it is direly needed.

However, being a data scientist does not limit it only to the ability to solve problems. In this age, when new languages are being developed so frequently, it is the need of the hour that the data scientists know the working of main languages.

If you have made your mind to study and work in the field of data science, then here are a few languages that you would like to start with.

Do not overwhelm yourself with many languages but start slow, get a hold of one language and then move to the next.

Pick the language that is more in demand in the marketplace.

Here are the Top 10 Programming Languages for Data Science 1. Python Guido van Rossum designed Python in the year 1991. Since its inception, it has been very popular and one of the favorite general purpose languages among the data scientists.

If you are a new programmer, Python is a language that is highly suggested to be learned at the beginning of language learning career.

It has lots of modules and community support for functionality.

So there will never be an issue of support system. It has a collection of libraries such a Google’s Tensorflow which makes it more interesting.

Want to learn python?  We provide the Best Python Training in Vijayawada. Book your seat now.

2. R Programming R was released in the year 1995. It is an updated version of S programming language. R has been improving in its functions day by day.

It includes a good range of open source packages which are of high quality. It has an exhaustive library of all the packages be it for a quantitative application or statistical application.

R has the capability of handling the matrix algebra. The libraries included are ggplot2, and the main strength is data visualization.

It has many community programmers that contribute to the open source. Its accessibility is free so that means you can learn it from anywhere.

Want to learn R Programming?  We provide the best R Programming Training in Vijayawada. Book your seat now.

3. Java If you have worked on a computer, you are already well aware of the popular Java language. It is a general-purpose language, and it works on Java Virtual Machine.

Java backend is used to build many modern systems. It has this system where the developers can integrate the existing code base and the data science methods. It is a compiled language. Once you know the Python or R, you can consider learning Java as your next programming language.

Many companies need Java programmers as team members for sure.

Read more: 2 Major frameworks for Web development with Python

4. Julia Julia is free to access programming language and has a good impact in the field of numeric computing.

Since its inception, it has been used by the financial agencies and that is why it evolved as a programming language that is good with numbers.

It has just-in-time compiling which gives excellent performance. Like Python, it can provide the capability of scripting and the dynamic type.

Even though it performs numerical based programs, it is designed for general purpose programming as well. The base library of Julia is integrated with open source C.

5. SQL Structured Query Language was developed in 1974, and since then, it has undergone many changes and improvements.

It is used to manage the relational databases by defining and managing them. It has an easy syntax that makes it fun to learn and it easily understandable.

If a company has to manage a large database system, it uses SQL for the same. It is a skill set that you will find useful at some point in time in your programming career.

It can also be used in different type of applications. Integrating SQL with other languages can be very easy too.

6. MATLAB MATLAB is developed by the Mathworks. It is developed in the mid-1980s.  It is a paid programming language. It does the computation of numerical data.

It performs complex operations such as matrix algebra, signal processing, etc. It also has the capability of data visualization.

This language is used in the field of data science much often. This makes it an ideal language to learn.

Even though it is not for general purpose programming, it is very useful for the numeric data.

It is a language well known in the field of mathematics and scientific matters which means that it is used in the different types of applications available today.

Read more: Importance and Benefits of an Internships – Codegnan offers wide range of Internships check it out – Internships in Vijayawada

7. C C is one of the oldest languages in the list of programming languages. It acts as a base of many new age languages.

If you want to learn about the basic of programming language, then starting with learning the C language is a good option.

The practical uses of C language are – it is used in the systems like car dashboards, televisions etc.

Want to learn C in Vijayawada?  We provide the best C Language Training in Vijayawada. Book your seat now.

8. SCALA Scala is a language developed by Martin Odersky in 2004. It has both functional and object-oriented approach which makes it a multi-paradigm language.

It runs on the Java Virtual Machine, and this makes integration with the Java language very easy.

If the developers are working with a large amount of data, then Scala is a good choice to work with. It is also good for data science.

If you have already the knowledge of Java, this will be an ideal language for you to learn.

Even though it is useful for the high amount of data, if you still use it, it provides the best productivity as compared to other languages.

9. F# F sharp is an open source programming language which works cross-platform.

It is a reliable language developed by Microsoft and the contributors. It solves the computing issues which are complex by using robust and straightforward coding.

It is a favorite of many big companies as well as open contributors’ community. You can learn F sharp free from the internet.

10. SAS SAS language is very popular in the community of data science.

It comes with the user-friendly Graphical User Interface that makes it easy for learning. It comes with lots of statistical functions that make it in demand language.

If you want to work as a programmer in the analytics industry, it is a good option to learn SAS language.

Once you know this language, you can be confident about your career in the commercial analytics industry.

Conclusion The programming languages mentioned above are presented here keeping in mind a few of the specific things that are important for data science. The language should be productive in its use whether the companies or the open contributors are using it. It should provide whatever is expected of the language.

The performance of the language should be error-free and quick. If the data is high in volume, the language should be able to manage it easily in less span of time. If you are a data scientist or planning to become one, then these languages will be beneficial for the growth of your career.

Start by choosing one language that interests you and learn it until you become efficient in one. Once you know one language well, and then proceed with the next language. It does not matter how many languages you know but what matters is that how proficient you are in the language of your choice.

Codegnan is the best institutional training in Vijayawada. We created more sophisticated path to learn and enhance you career opportunities. We offer Data science Training, Java Training in Vijayawada, Data Science with Python Training in Vijayawada, Machine Learning Training in Vijayawada.

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DATA SCIENCE WITH PYTHON TRAINING IN VIJAYAWADA

Data Analysis with Python

This program delivers you from the basics of Python to exploring several kinds of data. You will discover how to adjust data for analysis and make simplistic statistical critiques, produce important data visualizations, foretell expected drifts from data.

Why Data Analysis with Python training is required?

Python is a trendy tool concerning data analysis. In recent years, many libraries have approached capability, deducting users to take advantage of the excellence, versatility, and production of Python outwardly losing the functionality those records have expanded over the years.

Advantages of Data Analysis with Python

Data Analysis libraries will encourage you to study and practice Pandas, Scipy and Numpy libraries to operate with an example dataset. We will include pandas, an open-source library, including how to use it to store, manage, interpret, and conceive datasets. Then we will continue to a different open-source library, sci-kit learn and will practice some of its machine learning algorithms to create forward models and make predictions.

Why CodeGnan to be chosen to learn Data Analysis with Python training in Vijayawada?

We as a team of real-time industrial experience with a lot of knowledge in developing Data Analysis using python programming (7+ years) will ensure that we will deliver our best in Data Analysis with Python Training in Vijayawada, and we believe that no one matches us in this context.

CURRICULUM Course Syllabus Z Part 1 Introduction to Python. Who is using Python today? Installation and setting up environment. Basic syntax. Built in data types. Z Part 2 Basic Operators. Decision making. Loops. Numbers. Strings. Lists. Z Part 3 Tuples. Sets. Dictionary. Functions. Modules. Z Part 4 Packages. Files. Exceptions. Classes. Regular Expressions. Z Part 5 Database Access. Networking. Sending Email. Building Microservices. Working with git. Z Part 6 Numpy. Multi-dimensional array. Files with arrays. Linear Algebra. Array Manipulation. Structured and record arrays. Z Part 7 Pandas. Series. Data Frames. Reading and Writing Data in Text Format. Z Part 8 Interacting with web APIs. Interacting with Databases. Handling missing data. Combining and merging datasets. Z Part 9 Matplotlib. Plotting and visualizing data. Data aggregation. Time series. Time zones. Sickit learn.

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MACHINE LEARNING TRAINING IN VIJAYAWADA

Machine Learning Course

Machine Learning is a set of algorithms that help the machines, that is the computers, devices, and every bit of technology that uses Artificial Intelligence to ‘learn’ from their own experiences with varying amount of human intervention. Some Machine Learning algorithms need humans to modify their codes regularly while others can modify the algorithms themselves. Machine Learning training can enable a person to code such algorithms which would be able to process large data and use the result to modify itself, make future predictions, mimic human behavior, and many such activities. Every year millions of dollars are spent on developing new algorithms for Machine Learning in order to help companies increase their efficiency and productivity. Having a Machine Learning certification would help software engineers to tap into this market.

Using Machine Learning in Numerous Industries At Codegnan, we provide one of the best Machine Learning training in Vijayawada. Machine Learning is truly transforming numerous industries by revolutionizing the processes of manufacturing and production, sales and purchases, marketing, communication, cybersecurity, and basically every aspect of an organization. A Machine Learning training course allows you to understand the important roles that the data scientist and Machine Learning engineer play in today’s data-savvy environment. Let’s look at all the various industries that you will be able to get into after taking a Machine Learning course:

Healthcare: Healthcare industry is one of the most profitable industries around the world. Here every new innovation can earn you hundreds of millions of dollars. By and by healthcare industry is adopting more IoT and other connected devices. With a Machine Learning certification, you will be able to code Machine Learning algorithms to track the patients’ health, collect data, analyze it, and predict future health trends. It helps the devices to alert the healthcare providers in case the patients’ health shows signs of deteriorating. Manufacturing: Machine Learning training institutes like us also teach you to use Machine Learning algorithms to ease the process of manufacturing, increase efficiency and productivity, and reduce the need for human labor. This can be achieved by training the algorithm to carry out the manufacturing processes, find flaws in them and to modify the process based on the limitations. Stock Market: One of the extensive parts in Machine Learning training is writing algorithms that can collect a large amount of data from various sources, analyze it to understand the relationship between them and their past trends in order to predict the future trends. This can be used to predict the stock market trends by using Machine Learning and thus as a way to make profitable trades. Cybersecurity: Every day there are millions of new cyber attacks carried out on people all around the world which leads to huge losses of protected data as well as money globally. Cyber attacks on organizations and their employees can lead to devastating consequences and disrupt their working for a significant amount of time. This is why cyber attacks have been recognized as one of the most harmful threats worldwide. The worst part about cyber attacks is that the attackers keep on developing their codes which is why traditional methods of cybersecurity are not enough. Machine Learning algorithms can be used to store information of the past codes of cyber attacks, detect the patterns in them, and use them to detect any future malicious code with as much as 2% to 10% variation in coding. Thus, Machine Learning can drastically change the cybersecurity industry. E-Commerce: The Machine Learning course also includes learning how to use Machine Learning to help an eCommerce business. The algorithms can be designed to collect all the data and analyze it to ascertain the shopping patterns and product preferences of the consumers. With the help of this analysis, it can further understand the psychology of people while shopping and use it to improve their shopping experience, conversion rates, and recommend relevant products to the users. It also helps in the targeted advertisement. Many Others: After taking Machine Learning training course from us you will be able to use your knowledge of Machine Learning for a plethora of other purposes as well. For example, creating virtual personal assistants, social media services, predicting trends for various purposes such as while commuting, video surveillance, developing virtual customer support, refining search engine results, and much more. Why CodeGnan to be chosen to learn Machine Learning training in Vijayawada? Codegnan provides over 60 hours of the best course in machine learning training in Vijayawada. This course is further divided into several parts to ensure that you have the proper understanding of each of the part before proceeding to the next level. Being one of the premier Machine Learning training institutes we provide you with the opportunity to work on real-life case studies with the leading Machine Learning engineers and scientists as a hands-on approach for teaching. By the end of the course, you would be able to write supervised and unsupervised algorithms to carry out various tasks and to modify themselves based on the available data.

CURRICULUM Course Syllabus Z Part 1 Introduction to Python. Who is using Python today? Installation and setting up environment. Basic syntax. Built in data types. Z Part 2 Basic Operators. Decision making. Loops. Numbers. Strings. Lists. Z Part 3 Tuples. Sets. Dictionary. Functions. Modules. Z Part 4 Packages. Files. Exceptions. Classes. Regular Expressions. Z Part 5 Database Access. Networking. Sending Email. Building Microservices. Working with git. Z Part 6 Numpy. Multi-dimensional array. Files with arrays. Linear Algebra. Array Manipulation. Structured and record arrays. Z Part 7 Pandas. Series. Data Frames. Reading and Writing Data in Text Format. Z Part 8 Interacting with web APIs. Interacting with Databases. Handling missing data. Combining and merging datasets. Z Part 9 Matplotlib. Plotting and visualizing data. Data aggregation. Time series. Time zones. Sickit learn. Z Part 10 Introduction to Machine Learning How do machines learn Types of machine learning Supervised learning Unsupervised learning Reinforcement learning

Applications of machine learning

Z Part 11 Selecting a model Training a model Classification Regression Clustering Performance of a model Z Part 12 What is a feature Feature construction Feature extraction Feature selection Z Part 13 Supervised learning classification. Bayes Theorem Naïve Bayes Classifier K-Nearest Neighbour (KNN) Decision Tree. Random Forest Model Support Vector Machines Z Part 14 Supervised learning regression. Simple linear regression. Multiple linear regression. Problems in regression analysis. Polynomial regression model. Logistic Regression. Z Part 15 Unsupervised vs Supervised learning. Applications of Unsupervised Learning Clustering

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R PROGRAMMING TRAINING IN VIJAYAWADA

R Programming Training

During the last two decades, the size of data has increased exponentially worldwide and it continues to do so. This has led to an increasing demand for a data scientist to analyze and interpret this data as well as tools to help the data scientist in their analysis. R programming is one of the most influential languages and tool for statistical analysis of data which is used by data scientists, analysts as well as business professionals and non-software engineers who want to interpret data. CodeGnan is a leading R programming training in Vijayawada which helps individuals to learn this language.

What is the R Programming? R is not only a language but also an environment for statistical computing and design. It was initially developed in 1993 by Ross Ihaka and Robert Gentleman, but since then it has come a long way in terms of improved efficiency and ease of use. It contains an extensive list of statistical and graphical methods to analyze, represent, and report data. R language training offers you a chance to learn a well-developed, simple, and effective programming language which includes conditionals, loops, user defined recursive functions, and input-output facilities. An R language training institute such as CodeGnan also teaches you effective data handling and storage facility.

Using R Programming Some other things that you would learn in an R programming training on Vijayawada are:

A suite of operators for mathematical calculations on matrices, vectors, lists, and arrays; R course training would also enable you to use large, coherent, and integrated collection of tools for data analysis; R training Institute also teaches you graphical facilities in R for data analysis and display by printing or on a computer. Steps in R Language R programming training in Vijayawda by CodeGnan teaches data analysis with R as a series of steps, which are:

Program: R is an accessible and clear programming tool; Transform: R contains a collection of libraries which are designed specifically for data science; Discover: This is the stage in R language training which enables you to investigate the data, refine your hypothesis, and analyze them. Model: R provides a wide range of tools for you to capture the right model for the sample data; Communicate: At this stage of R programming training, you will be able to integrate codes, graphs, and output to a report. Why should you choose to learn R Language? Admittedly, there are other languages as well which can help you to analyze data. So why should you choose to learn R instead of those?

R is the best platform for statistics, data analysis, and machine learning. R course training will teach you more than just a statistical package; rather you will be able to create your own objects, functions, and packages. R can quickly try several ideas and factual issues by explicitly recording the actions of analysis and making it easy to reproduce and update report. R can be used anywhere as it is platform independent and can be applied to any operating system. Because it is a free platform, you can implement it in any organization without having to purchase a license. In addition to being a free programming language, it is also open source. This means that after completing your course from an R training institute, you will be able to examine the source code to check its functions. It also means that you will be able to fix bugs and add features rather than waiting for the vendor to do so in a future release. R programming also allows you to integrate with other languages such as C/C++, Python, Java, and enables you to communicate with various data sources such as Excel, access, and statistical packages such as Stata, Minitab, etc. R Language also serves as glue for piecing together various data sets, tools, and software packages. An R language training institute would also teach you to create reproducible, excessive quality analysis by R programming as it has much flexibility and power which is required while dealing with big data. Moreover, it is utilized in nearly all industries. It is used the most in academic and Healthcare industries. Followed by Government agencies, consulting, insurance, energy, finance, retail, and many other industries. Finally, tech giants such as Google are utilizing R programming. Why CodeGnan to be chosen to learn R Programming training in Vijayawada? CodeGnan provides many hours of top-notch R programming training in Vijayawada. This course is divided into several parts to ensure that you understand each step of the R language effectively before moving onto the next step. We are the best R programming training in Vijayawada as we have the best faculty and resources to provide you classroom and hands-on training. By the end of the course, you will have extensive knowledge of using R language to analyze, represent, and report big data.

Course Syllabus Z Chapter 1 - Introduction to Business Analytics Introduction to Business Analytics & it’s Features Types of Business Analytics Business Analytics Case Studies Business Decisions Business Intelligence Data Science and it’s importance Z Chapter 2 - Introduction to R Introduction to R Understanding R Using R to illustrate the basic concepts Installing R and RStudio Integrated Development Environments (IDEs) for R Using R Console Scripting in R R Workplace and Packages Distributed R Introduction Installation Programming Concepts Z Chapter 3 - R Programming Introduction Operators in R(Arithmetic, Relational, Logical, Assignment) Basic and Advance Data Types Loops and Conditional Statement in R Commands to Run an R Script and a Batch Script Functions in R String Manipulation in R Dplyr Package – An Overview Installing Dplyr Functions of the Dplyr package Z Chapter 4 - R Data Structure Types of Data Structures in R Vectors Scalars Matrices Arrays Data Frames Factors Lists Elements of the Different Data Structures in R Acceptable Formats to Import and Export Data in R Z Chapter 5 - Data Visualisation Graphics in R Types of Graphics Basic elements of graph Methods to Save Graphics as Files Procedure to Export Graphs in RStudio Z Chapter 6 - R Connection with Database Introduction to RDBMS Introduction to MySql R packages to connect to database Data analysis of data from database Z Chapter 7 - Debugging in R Introduction to Debugging Important function to Debug Z Chapter 8 - Statistics in R Introduction to Statistics Types of Data Qualitative vs Quantitative Analysis Hypothesis Testing in R Need of Hypothesis Testing in Business Test of mean Test of variance Chi-square Test Non-parametric Test Linear Regression Basics of Classification Basics of Clustering

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PYTHON TRAINING IN VIJAYAWADA

Python Training in Vijayawada

Python is a high-level programming language for general purpose programming. It is the perfect language for someone trying to learn computer programming for the first time. Guido van Rossum created Python programming in 1991. Python is an open source programming language. Many applications like web, games, software development, Object Databases, Network Programming, Mobile applications and many more can build using python programming. Python programming supports both structured and object-oriented programming. Python Training Course – Objective Python programming language training main objective for the student is to develop primary programming skills up to the higher end to solve the different programming logic. A student can able to write a different type of logic at the end of the sessions. After learning python programming language course, the student can able to build web applications, database access and data analysis. Few applications which make using python programming are YouTube, Dropbox, Google, Quora, Instagram, BitTorrent, Spotify, Reddit, Yahoo Maps, Hipmunk, Pinterest, NASA, Bitbucket. After completing the python training, a student can able to attend any MNC Company interview and can solve the technical rounds both theoretically and practically. A student can able to build web pages and host in cloud servers which can be accessible by anyone in the world. Why Python Training is required? Python has topped the charts in recent years when compared to programming languages like C, C++ and Java are widely being used by the programmers these days. Nowadays everything is related to data; the future is entirely on data so for manipulating or processing the information we need to upgrade our skills. Python is the best programming language for processing the data in various stages. Python programming has a unique feature of integrating with any programming language. You can design a project frontend with PHP and integrate backend with python. Advanced technologies like NLP, AI, and Machine Learning are built using python. Education at CodeGnan will assure you, the ability to code application by the end of the Python training. Advantages of Python Programming Python’s syntax is simple to learn, so both non-programmers and programmers can right away start programming in it Python is developed under an OSI-approved open source license, which makes it easier to use and distribute, including commercial purposes. It provides large libraries that include fields like string operations, web service tools, operating system interfaces etc. Python has built-in list and dictionary data structures which can be used to construct fast runtime data structures. Syntax for python is easy to learn, hence programmers and even non-programmers can start programming right away. Why CodeGnan to be chosen to learn Python in Vijayawada? We as a team of real-time industrial experience with a lot of knowledge in developing applications in python programming (7+ years) will ensure that we will deliver our best in Python Training in Vijayawada, and we believe that no one matches us in this context. CURRICULUM Course Syllabus Z Part 1 Introduction to Python. Who is using Python today? Installation and setting up environment. Basic syntax. Built in data types. Z Part 2 Basic operators. Decision making. Loops. Numbers. Strings. Lists. Z Part 3 Tuples. Sets. Dictionary. Date and Time. Functions. Modules. Z Part 4 Packages. Sending Email. WhatsApp Message. Facebook Message. Files. Exceptions. Z Part 5 Classes. Regular Expressions. Database Access. Networking. Building Microservices. Working with git.