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@datasciencetraininginvijayawada
5 posts!
DATA ANALYSIS 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.
Best Python Training in Vijayawada is provided by Codegnan. Join today for interactive internships, workshops conducted by best in class industry experts. Call now and book a demo.
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.
JAVA TRAINING IN VIJAYAWADA
Java Training Course Sun Microsystems developed Java programming language and is released in 1995 as a core component of Sun Microsystems’ Java platform. Java SE 8 is the latest edition till date. By the advancement of Java and its vast popularity, various configurations were built to accommodate different kinds of platforms. The brand-new J2 versions are now named as Java EE, Java SE, and Java ME. Java is proved to be Write Once, Run Anywhere.
Java Training Course – Objective This hands-on Java training course presents a thorough introduction to object-oriented programming in Java for experienced C and C++ programmers. The fundamental concepts of Java syntax are taught in the context regarding applying OOP methods in order to gain reusability, flexibility, and dependability. Stress is placed on the characteristics of Java that promote complex data types, inheritance, and polymorphism. Pupils will study to implement the method of data abstraction including class design. Functional aspects of Java includes performance, execution, trial, and security concerns are emphasized. Extensive hands-on activities are blended completely to strengthen knowledge and elaborate real competency.
Why Java training is required? A superset of C and C++, Java is an object-oriented programming language cum platform and incorporates all the features offered by C and C++ and much more. Started its journey as a successor to C++, gradually, it has evolved as the ultimate choice for developing different versatile kind of applications like stand-alone, GUI-based, web, database, and mobile applications.
Advantages of Java Programming Language Java is easy to learn. Java is designed to be easy use and hence easy to code, execute and debug. It also helps learn other programming languages quickly.
Java is Object-Oriented. This gives us the benefit to create modular programs and reusable modules. Java platform independent with its source and also binary levels. It can run the same program on different systems due to its ability to move from one system to other which is crucial for web applications. Job Proscpects with Java Programming Language Java is widely used to make applications for different platforms as it is a platform independent language.
Android Apps: The Android operating system is written in Java which makes it much easier for the developers. Blueray: A user can also seamlessly build interactive applications for Blue-Ray Disk Association. Server Applications: Some of the popular system applications like Gmail, Eclipse which we use daily are built on Java. Popular Desktop Applications: Java is used to develop popular desktop apps such as Gmail, Eclipse, Netbeans etc. Scientific applications:NASA Wind which is a prominent development project uses Java. According to quora.com Why CodeGnan to be chosen to learn Java Programming in Vijayawada? We as a team of real time subject experts with lot of Java training experience(19 + years) will ensure that we will deliver our best in Java training in Vijayawada, and we believe that no one matches us in this context. CURRICULUM Course Syllabus Z Part 1 Introduction to Java Language. Genesis of Java and OOP features. Java Environment Setup. Z Part 2 Working with Classes and Objects, class an Abstract Data type. Inheritance -types of inheritance -access controls -rules and regulations of inheritance using “super”, “abstract” and “final” Interfaces – multiple inheritance with interfaces, interface benefits, interfaces vs abstract classes. Z Part 3 Packages- packaging classes. Exception handling, need to handle exceptions, Java’s exception class hierarchy. GUI Applications using Java,awt. Multi Threading Z Part 4 Java Library Packages. Generic Programming. Collection Framework. New features in Java 8.
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.
DATA SCIENCE WITH PYTHON TRAINING IN VIJAYAWADA
Data Science with Python Data is treated as the new currency in the world. Every day there are more than 2.5 quintillion bytes of data generated which needs to be sorted and analyzed to be used later. The volume of data is growing exponentially and it results in a vast demand for data scientists. Data science training is helping individuals take advantage of this vast demand. Companies are spending anywhere between hundreds of thousands of dollars to billions of dollars on software and personnel to be able to analyze the available data to get an advantage over their competitors as well as to increase their market share.
Why Data Science with Python training is required? Python is one of the most flexible coding platforms which can be used for a huge range of activities. It is open-source software. Data science with Python uses the features and flexibility of Python to carry out a number of programming to analyze data. Data science training with Python will help you to understand and execute the concept of Machine Learning. Python is easy to use and understand, simple yet powerful, and provides a platform for innovation as it can be used in a wide range of contexts. An alternative to this is data science with R. However, Python has been proven to be better than R which is why data science with Python is more relevant than data science with R. Codegnan is a leading Institute which provides Python backed data science course in Vijayawada.
Advantages of Data Science with Python You will gain a better understanding of business analytics; You will be able to analyze the available data for a wide range of activities such as market research, product recommendation, and much more; You will also learn to use Machine Learning and be able to write supervised as well as unsupervised programs; Data science training but also help you to formulate statements for testing hypothesis through parametric and non-parametric tests; You will also be able to use your knowledge of Datascience to measure the correlation coefficient of the data; Moreover, you will also be able to extract text from web pages through text mining; Being able to analyze the data will also enable you to forecast a trend or result of an event; You will also be able to access several Datascience libraries, such as Pandas, Numpy, and Spicy, which will help you to study, practice, and operate with an example dataset; Our course also includes learning how to use Pandas, an open-source library, to store, manage, interpret, and conceive datasets; and many more such advantages Why CodeGnan to be chosen to learn Data Science with Python training in Vijayawada? We provide a data science course in Vijayawada using the Python programming language. Our team has extensive knowledge and years of experience in developing Datascience programs. Our 80 hours course is divided into 9 parts to help you better understand the various aspects involved in data science programming. We are a premier institute which aims to provide you with unmatched knowledge and training to help you with real-time experiences.
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