Online Programming And Development Courses & Certifications

The Mastering Perl Scripting Certification Training by Edureka is a course designed to help you develop and deploy applications with Perl scripting language. The training course enables the candidates to understand the Perl syntax, file operations, data types, and regular expression while keeping in mind the Perl coding standards. You will learn to minimise the development cycle durations of designing web applications.

The Mastering Perl Scripting Certification Training programme also guides you in designing rich GUI with the Perl/Tk module to create end-user friendly programs. In addition, the course allows you to dive deep into the theoretical and applied benefits and limitations of using Perl.

Moreover, the training is curated and mentored by industry experts and trainers with years of relevant experience. The training is a self-paced online learning session, which enables participants to study at their convenience by reviewing exercises to reinforce their lessons. Besides, the course also certifies you as an expert in Perl.

The PHP and MySQL with MVC Frameworks Certification Training will make you a certified PHP and MySQL expert. The course familiarises you with PHP scripting and MySQL databases. You will learn to build dynamic, user-friendly, and database-driven web applications using PHP and MySQL.

The PHP and MySQL with MVC Frameworks Certification curriculum focuses primarily on using PHP and MySQL along with the CakePHP model–view–controller (MVC) framework. The programme includes sections covering the installation, configuration, connection, and database handling practices of PHP, MySQL and CakePHP. 

Moreover, the PHP and MySQL with MVC Frameworks Certification course allows you to master the crucial concepts of PHP and MySQL and enhances your web application development skills. You will become proficient in PHP programming skills, developing, and creating functions, and object-oriented concepts.

The training, which is crafted by industry expert practitioners, is a self-paced online learning session to ensure smooth learning for candidates. Besides, you also become a certified expert in PHP and MySQL with MVC Frameworks.

The Electronics & Information and Communication Technology Academy at IIT Kanpur offers the Azure Data Lake certification course. It is a six-week course, replete with assignments, project work, and online lectures. The total credit score assigned is 44, inclusive of lecture, laboratory, tutorial, self-study, and assignments/project hours.

The Azure Data Lake certification syllabus spreads across six learning modules. Students will learn to develop, populate, and query Azure Data Lake using Visual Studio. The curriculum covers the introduction of Azure Data Lake and its different access paths. Additionally, custom functions and monitoring of the U-SQL catalogue are studied.

Students need to complete the assignments and final quiz allotted to receive the Azure Data Lake certification. They need to also work on project work using a PowerPoint presentation based on their understanding of the course. A demo version of this course is available, including only the first three topics included in the first module.

The Certificate in Data Analysis with R programme offers in-depth knowledge about using R, an open-source programming language, in the field of data science. 

With constant technological and business advancements, data analysis has become a popular domain with fantastic career opportunities. It revolves around applying analytical and statistical techniques and analysing data sets. This helps the decision-making process and prediction of business tactics to a great extent.

The R language provides the various techniques used in statistical computing, graphical representation, and data analysis. The online course, Certificate in Data Analysis with R, deals with practices that involve classical statistical tests, clustering, linear and nonlinear modelling, classification, time-series analysis, etc. You can also boost your career with outstanding employment opportunities by receiving the government-authenticated course certificate. 

If you are hoping to get employed by IT companies, improving your skills with the Certificate in Data Analysis with R online training will not only polish your resume but also increase your chances of being recognized in the industry.

Data is everywhere today. Thus, an increasing number of companies are analysing, tracking, and using data insights to make informed decisions. Codecademy’s Analyze Data with Python online course is designed to teach you the essentials of data analysis. Moreover, it offers a certificate of completion.

During Analyze Data with Python certification course, you will learn how the NumPy library is used to perform statistical calculations, organise large amounts of data, and store arrays of numbers. You will also study foundational concepts of Pandas library for data analysis and manipulation.

Throughout the Analyze Data with Python online course by Codeacademy, you will go through rich content on Pandas, SciPy, Jupyter Notebooks, NumPy, MatPlotLib, and more. The curriculum also requires you to build three data analysis projects, namely FetchMaker, A/B Testing for ShoeFly.com, and A/B Testing at Nosh Mish Mosh. Thus, you will build real-world, practical skills while solidifying theory.

R is a well-known programming language used in Data science courses. The Analyze Data with R certification programme will teach you the foundational concepts of the R programming language. During the course, you will study basic data structures and coding concepts, including functions, loops, control flow, etc., in R.

Codecademy’s Analyze Data with R online course will train you on getting the most out of your datasets. This will enable you to conduct statistical analyses and generate stunning visualisations. You will also explore R libraries such as ggplot2, gtrendsr and more.

Throughout the eight-week duration of the Analyze Data with R online programme by Codecademy, you will learn about key applications of R, including regression, data cleaning, and analysis. You'll also learn to investigate, reshape, and clean data with data frames. 

R is a well-known programming language developed for Data Scientists.  Lastly, you will work on three capstone projects to practically implement your learnings. After successful course completion, you will get a certificate of completion.

The Analyze Data with SQL certification programme is built to impart in-depth knowledge of SQL (Structured Query Language). During this curriculum, you will learn the fundamentals of SQL databases and prepare for technical interviews.

The Analyze Data with SQL online course by Codecademy will also help you explore advanced SQL topics such as date functions, math functions, and window functions. Thus, you will become proficient in writing your own queries to access data.

During the Analyze Data with SQL training, you will work on three projects to build real-life skills. The course learnings will enhance your SQL toolset, enabling you to implement theory to datasets. You will also understand how to grab data from different sources to draw advanced conclusions.

Furthermore, you will explore relevant data concepts, including Data Science, SQLite, queries, command line, databases, tables, and more. Codecademy’s Analyze Data with SQL course also offers a completion certificate with the Pro subscription.

The Analyze financial data with Python online course prepares applicants for a data analytics role in the finance industry. Students will learn the fundamentals of Python programming, which will be used to process and analyse financial data. After the course, you will become proficient in using Python for data analysis. 

Furthermore, Codecademy’s Analyze financial data with Python certification course caters to individuals who want to learn quantitative finance and build a portfolio with Python. Since this is a beginner-friendly course, you can quickly learn through step-by-step guidance. You can gain a new skill quickly through hand-picked and well-curated content.

Additionally, the Analyze financial data with Python programme concludes with a capstone project to test your programming and financial skills. You can also obtain a certificate on completion to enhance your qualifications and employability.

The deep learning with python online course is developed and offered by the online education provider Analytixlab for the students who wish to upskill themselves with the deep learning skills and technologies that drive state-of-the-art applications in the domain of artificial intelligence.

The course is scheduled for the candidates with the knowledge of fundamentals of data science and Python programming language and will take a hundred and thirty hours to complete the program.

The course training consists of twenty classes and the students are allowed to work with ten assignments and projects to exhibit the theoretical knowledge and concepts gained during the exploration of the artificial intelligence and deep learning domain in data science. 

The deep learning with python training enables the students to gain expertise in deep learning and the candidates are provided with a dual certification by Analytixlab partnered with the International Business Machines Corporation and continuous support in finding job opportunities.

The Machine Learning, Data Science, and Deep Learning with Python online course is a 15.5 hours on-demand course provided by Udemy. The course teaches about Keras and Tensorflow that are used to create artificial neural networks. The course also teaches about deep learning that may be used to classify data, pictures, and feelings.

Machine Learning, Data Science, and Deep Learning with Python training teachers to use linear regression, multivariate regression, and polynomial regression to make predictions. The course teaches about Seaborn and MatPlotLib that are used to visualize data. Candidates will learn to deploy machine learning at a huge scale with Apache Spark's MLLib.

The Machine Learning, Data Science, and Deep Learning with Python syllabus covers the use of Support Vector Machines (SVM), K-Means clustering, KNN, Naive Bayes, PCA, and Decision Trees to classify data. The course teaches to develop a movie recommendation system that combines user-based and item-based collaborative filtering.

Natural Language Processing with Deep Learning in Python online certification was created by Lazy Programmer Inc., Artificial Intelligence and Machine Learning Engineer, Lazy Programmer Team, and is offered through Udemy Inc. which is an online learning platform, that helps individuals progress in their careers.

Natural Language Processing with Deep Learning in Python online course will teach how the GloVe method uses matrix factorization to find word vectors, using recurrent neural networks to solve natural language processing problems such as part-of-speech tagging and named entity recognition, as well as gain an understanding of how neural networks solve almost any problem, and how to use recursive neural networks to solve the sentiment analysis negation problem

Natural Language Processing with Deep Learning in Python online training is designed for individuals who are familiar with programming and have some experience in it as this course comes with prerequisites such as calculus, matrix addition, multiplication, probability, python coding, Numpy coding, neural networks and backpropagation, gradient descent algorithms, coding feedforward neural network in Theano or TensorFlow, coding recurrent neural network / LSTM / GRU in Theano or TensorFlow, tree algorithms. The interested learners could enrol on the course by paying the fee. 

Advanced AI: Deep Reinforcement Learning in Python certification course is designed by Lazy Programmer Inc. - artificial intelligence and machine learning engineer and its team which is presented by Udemy, an online learning platform, to assist students to succeed in their occupations.

Advanced AI: Deep Reinforcement Learning in Python online course focuses on the use of deep learning and neural networks in reinforcement learning. The course will teach about the TD Lambda algorithm to deepen the understanding of temporal difference learning, and a particular variety of neural networks called the RBF network, policy gradient method, and deep Q-Learning (DQN), and asynchronous advantage actor-critic (A3c).

Advanced AI: Deep Reinforcement Learning in Python syllabus is designed for individuals who are familiar with programming as this course comes with prerequisites such as college-level calculus, probability, object-oriented programming, python coding, Numpy coding, linear regression, gradient descent, writing ANNs and CNNs in Theano or TensorFlow, Markov decision processes (MDPs) and implement dynamic programming, Monte Carlo, and temporal difference learning to solve MDPs. The interested learners could enrol on the course by paying the fee. 

Deep Learning: Recurrent Neural Networks in Python online certification is a compelling course presented by an inspiring instructor. The cases are well-chosen, demonstrating foundations through fun, creative projects rather than lecturing on abstract concepts. The course is created by Lazy Programmer Inc. - Artificial intelligence and machine learning engineer and presented by Udemy, an ed-tech organization based in the United States that supports students with the greatest and most up-to-date skills through online courses in more than 180 countries.

As the Deep Learning: Recurrent Neural Networks in Python online training involves complex concepts, candidates should have prior knowledge of the following topics to get the most out of the course: matrix addition, multiplication, basic probability, python coding, Numpy coding, matrix, and vector operations, loading a CSV file. The course also provides 12 hours of prerecorded English lectures and an article for understanding the topics at their own pace.

Deep Learning with Python and Keras online course is a short-term course developed by Data Weekends - Learn the essentials of Data Science in just one weekend, Jose Portilla - Head of Data Science, Pierian Data Inc., Instructor and presented by Udemy Inc., an ed-tech firm aimed at providing of online courses for professionals and beginners across 180 countries.

Deep Learning with Python and Keras certification course is intended to give you a thorough understanding of Deep Learning. The course is designed for Python beginners and intermediate programmers and data scientists who want to learn how to apply Deep Learning methods to a variety of situations.

Deep Learning with Python and Keras online training focuses on providing learners with firm ground, not just in theory, but also in coding. Learners will be taught to detect issues that can be solved using Deep Learning, develop a range of Neural Network models, and use cloud computing to boost the training and enhance their performance. 

A deep understanding of deep learning (with Python intro) course is an online programme on deep learning developed by Mike X Cohen, a Neuroscientist, writer and professor. The short certificate programmes help the students to gain the fundamental knowledge of deep learning required to explore advanced and new deep learning concepts and theories. The course curriculum will walk the participants through Math, NumPy, PyTorch, Autoenncoders, Data types and many more aspects of deep learning. 

A deep understanding of deep learning (with Python intro) online course, offered by Udemy, is open for all the folk who are interested to learn deep learning and does not demand any kind of prior experience or knowledge; rather, the course will kick start the concepts including Python, Pytorch etc from the scratch. The students will go through the process of creating artificial neural networks and building models in PyTorch and will master codes of gradient descent and calculus. 

The learners will also get practical exposure through A deep understanding of deep learning (with Python intro) certification with many experiences and practical examples etc. Udemy will confer the participants a certificate of completion at the end opening up plenty of opportunities in the field of deep learning that is widely used in many industries such as self-driving cars, medical diagnosis and whatnot. Those who are looking forward to trying a hand in deep learning can join the programme by making the payment.

Data Science: Deep Learning and Neural Networks in Python online certification are developed by Lazy Programmer Inc., artificial intelligence and machine learning engineer, and offered by Udemy Inc., a US-based online learning platform to help individuals boost their careers. The course is designed for individuals who are interested in mastering their skills in deep learning, machine learning, and data science. 

Data Science: Deep Learning and Neural Networks in Python online course will teach the learners to use deep learning techniques to create their artificial neural network,  fundamental building blocks of neural networks, and use Python and Numpy to create full-fledged non-linear neural networks right away. 

Data Science: Deep Learning and Neural Networks in Python online training are focused on the professionals with a background in programming as the course come with some prerequisites such as knowledge of calculus (taking derivatives), matrix arithmetic, probability, python coding, NumPy coding, linear regression, and logistic regression. candidates can also avail discounts at the time of checkout, if available. 

Python offers a more open-ended approach to data science, whereas R programming is mostly utilized for statistical research. Data analysis and statistics are the main goals of R programming, whereas production and deployment are the main goals of Python. Data Science with R and Python | R Programming certification course is developed by Oak Academy, a learning management system that also offers courses in IOS, Android, Ethical Hacking, IT, Web & Mobile Development, and is made available by Udemy.

Data Science with R and Python | R Programming online course involves 13 hours of prerecorded lectures accompanied by 4 articles and 9 downloadable resources, which is designed for the participants who wish to become certified data scientists by learning the features of Python and R programming. Data Science with R and Python | R Programming online training explains the topics like data visualization, data munging, data analysis, data manipulation, business analytics, data transformation, data frames, Pandas, Numpy, Matplotlib, and more.

Both Python and R are fantastic languages for performing data analysis. Additionally, they are both excellent for those who have never programmed before. Fortunately, there are a variety of resources and materials available to assist people along the path, regardless of whatever language they decide to learn originally. Piyush S, a data scientist, engineer, and project manager, designed the Data Analysis using Python and R for Absolute Beginner[2022] online certification, which is provided by Udemy.

Data Analysis using Python and R for Absolute Beginner[2022] online classes incorporates more than 12.5 hours of detailed lectures supported by articles, 36 downloadable resources, assignments, and case studies on bank marketing, uber supply demand, car datasets, and more. Data Analysis using Python and R for Absolute Beginner[2022] online training provides a deeper comprehension of the fundamentals of Python and R programming for data analysis operations, which also covers topics like data visualization, exploratory data analysis, website scraping, data extraction, and data cleaning.

The Python Certification Course covers the basics of Python and teaches you how to apply it to real-world situations. The curriculum comprises modules, lesson-end projects, and assignments covering data operations in Python, conditional statements, strings, web scraping, error handling, shell scripting and Django - the commonly used Python web framework. 

With a hands-on development experience, this course will help the candidates prepare for an exciting career as a professional Python programmer. The Python Training Course by Simplilearn contains various features like course-end projects and knowledge checks at the end of every lesson. 

This is an online learning program designed by industry experts. The learners can choose either the blended learning model that offers 90 days of flexible access to online classes and several live online classrooms, or the self-paced learning model if they wish to study according to their preferred speed. 

Moreover, there is also an option for corporate training so that businesses can train their employees. The candidates will get an industry recognised certificate on completion of the course. 

The Python Django certification training programme by Edureka is designed to help you become a master in Python programming and develop practical web applications using Django. This course will delve into fundamental as well as the advanced concepts like file operations in Python, Python scripts, creating views, working with databases, Forms, templates, Rest APIs, and models in Django.

Once you complete the Python Django certification training course,  you will be adept in debugging programs, creating map and views URLs in Django, discussing Python programming language, creating REST APIs, and more.  

You will gain the core skills and concepts via live- online instructor-led training, real-life cases, regular practical assignments, 24x7 expert technical support and lifetime access to the Learning Management System. 

Upon Python Django Training and Certification course completion, you will receive a “Python Django Expert” certification. As a certified Python Django Expert, you can land lucrative roles in top companies such as Facebook, Pinterest, NASA, and more. 

The Edureka Python Scripting Certification Training is an introductory course which covers the core concepts of Programming and Scripting, Object-Oriented Programming, Data Handling, Collections and various networking concepts.

Once you complete the Python Scripting Certification Training curriculum, you will learn to develop networking applications with GUI. The course will help you to acquire skills such as how to create and execute modules and functions, comprehend scripting concepts, and know the concepts associated with Python as a programming language.

Furthermore, you will be able to understand data operators, types, decision-making statements and loops, and many more concepts via hands-on learning experience. Since the course is self-paced, you can study at your pace and convenience.  

Besides, since Python Scripting enables programmers to build applications quickly, it is the future of Machine Learning and AI. Once you become a certified Python Developer upon completion of the Python Scripting Certification Training programme, you will be able to work in top companies and earn an average salary of $109,280 per year.

The Programming for Everybody (Getting Started with Python) certification course is the perfect head-start to help you get familiarised with computer programming basics using the powerful programming language, Python. The course covers the Python 3 software and the basics of constructing a program from several simple Python instructions. This programme covers the first five chapters of the “Python for Everybody” textbook. After completion, you will be able to undertake advanced programming courses as well. 

The Programming for Everybody (Getting Started with Python) online course has been built in collaboration with the University of Michigan. It consists of pre-recorded course videos, readings, graded assignments, quizzes, practice quizzes, and more. Through these, you will learn the core concepts such as Python programming, its uses, expressions, variables, iterations, loops, and more.

Moreover, the Programming for Everybody (Getting Started with Python) training by Coursera is designed to fit your busy schedule. Hence, there are flexible deadlines, recorded content, and is entirely online. The curriculum content is available in English with subtitles in Chinese (Simplified), Arabic, German, Turkish, Korean, and English.