Online Programming And Development Courses & Certifications

Unreal Engine C++ Developer: Learn C++ and Make Video Games course is a short training on C++ developed by Ben Tristem, Sam Pattuzzi and GameDev.tv Team. The online programme will help the participants to make a detailed understanding of C++ concepts from the very beginning and master the video game development. The curriculum will walk the learners Triple X,  Gavin, Building Escape and whatnot. 

Candidates who plan to take the Unreal Engine C++ Developer: Learn C++ and Make Video Games online course, offered by Udemy, must have a 64-bit PC capable of running Unreal 4 or a Mac running Mac OS 10.14 Mojave or higher. The course will enable the students to learn Object-Oriented Programming, programming patterns, artificial Intelligence and techniques and technologies of modern game development. Unreal Engine C++ Developer: Learn C++ and Make Video Games certification will also provide the candidates with the option to drop the course after 30 days if they are not content and whole time access to the course content. The interested candidates can enrol in the programme by paying the fee.

Complete C# Unity Game Developer 3D course is an online programme on game development created by Ben Tristem, Rick Davidson, GameDev.tv Team and Gary Pettie. The short training will help the students to design and create 3D Unity video games using C# for PC, web, and Mac. The curriculum will explore all the gamuts of game development and game design in Unite game engines such as Project Boost, Onion Design, Realm Rush, Argon Assault, Debugging Tools, Grid Snapping, and many more.

Complete C# Unity Game Developer 3D  online course, created and offered by Udemy, facilitate the learners to make a detailed understanding of  C#, one of the popular and multi-paradigm programming languages from scratch. Anyone interested in 3D video game development can pursue the online short certificate course and does not require any prerequisites to join except having a PC or Mac capable of running Unity 2017 or later and access to the internet. Complete C# Unity Game Developer 3D  certification also helps the participants to be fluent in using one of the fine 3D tools, Unity 2017, and to build the capacity of coming up with outstanding 2.5D and 3D games in Unity. Plus, the enrolled students will learn the functioning of object-oriented programming and the creation of games in other programming languages including .NET, etc. The online programme renders the learners intensive practical exposure by assigning various projects. The candidates who are interested to explore video game development can enroll in the programme by paying a single one-off fee.

The Master Unity By Building 6 Fully Featured Games From Scratch certification course, designed by Awesome Tuts and presented by Udemy, is intended for applicants who want to become professional 2D game designers and developers and continue their hobby for gaming while also advancing in their professions. The Master Unity By Building 6 Fully Featured Games From Scratch online course is meant to teach both fundamental and advanced principles of game design utilizing technologies such as C# programming and the Unity game engine.

Master Unity By Building 6 Fully Featured Games From Scratch online classes by Udemy contains approximately 35 hours of thorough video lectures, 3 articles, and 18 downloadable resources covering game development topics such as UI systems and physics systems. This course also assists applicants in learning how to integrate social media accounts into games, as well as how to integrate videos and promotional adverts into their games.

Make Games and Web Apps: Unity®, React and Redux Masterclass online certification is designed by John Bura - Web, App, Game Developer & Instructor, and Mammoth Interactive which is delivered by Udemy which is aimed at learners who want to gain knowledge and expertise in application and game development using the Unity engine, C# programming, Javascript, ES6, JSX, React and Redux. Make Games and Web Apps: Unity®, React, and Redux Masterclass online course is a hands-on training that teaches game development concepts and allows students to create their 3D games employing Blender and Unity.

Make Games and Web Apps: Unity®, React and Redux Masterclass online classes are divided into two phases, the first of which uses game development strategies to enable students to create games like Super Marlo from the ground up. Part 2 teaches students how to use React, Redux, and javascript to develop interactive and functioning online applications. Learners will also be taught how to use React Router's functionality to create single-page applications.

Data science and machine learning are emerging fields with a huge demand for skilled professionals who have robust knowledge and the practical skills of programming, analyzing data, and complex problem-solving. EduPristine’s Machine Learning in Python programme will provide a step-by-step model with complex algorithms that you can apply to solve business problems in the real world.

The programme gives an introduction to Python and delves deep into the various tools and techniques required to master it. Participants get hands-on experience in the Machine Learning in Python certification training with tools like Python, Tensor Flow, and Keras. The course familiarises candidates with Python necessities for Machine Learning, including Anaconda, PIP, Conda, and Scikit-Learn.

This course comes with EduPristine’s superior service in post-course engagement which includes a certificate in Machine Learning in Python issued by EduPristine. Candidates also get access to LMS for one year, real-life projects, dedicated discussion forums, and case studies. Further, the participants receive career assistance, regular job updates, and guidance with resume preparation. Industry leaders with years of relevant experience and expertise teach the course. 

The Machine Learning with Python certification course offered by IBM is a comprehensive program designed to introduce learners to the basics of machine learning using the Python programming language. Machine Learning with Python programme offered by IBM is the 13 hours (approx.) duration certification course having 6 moudules in total where students can learn on their own pace.

The Machine Learning with Python  certification course, offered by IBM via Coursera, is the intermediate level programme where students will learn classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN.  Machine Learning with Python certification course offered by IBM helps the students to learn new concepts from industry experts and develop job-relevant skills with hands-on projects along with shareable career certificate from IBM.

The Machine Learning A-Z™: Hands-On Python & R In Data Science online course is a study about the algorithms of machine learning using Python and R programming languages in data science. The online course is provided by Udemy for students who wish to learn about data science and machine learning concepts. The course consists of forty-four hours worth of videos, lectures, articles, and other significant resources for the students to learn at their own pace.

The online training helps engages the students in practical understanding of concepts and principles to apply in real-time situations.

The online program is developed by instructors such as Kirill Eremenko(Data Scientist), Hadelin de Ponteves(AI Entrepreneur), SuperDataScience Support, and Ligency Team. The students get access to the course materials all the time. The Machine Learning A-Z™: Hands-On Python & R In Data Science training program will provide the students with the course certificate after completing the program. 

Bayesian Machine Learning in Python: A/B Testing online certification is created by Lazy Programmer Inc. - Artificial intelligence and machine learning engineer and offered by Udemy Inc., an online learning platform based in the United States that helps individuals learn new skills and professionals refine their existing ones. 

With Bayesian Machine Learning in Python: A/B Testing online training, methods that candidates will learn will not be limited to A/B testing; rather, they will use A/B testing as an introduction to how Bayesian techniques can be used. Candidates will master the essential tools of the Bayesian method - using A/B testing as an analogy - and then apply those Bayesian methods to more advanced machine learning models in the future.

Individuals taking the Bayesian Machine Learning in Python: A/B Testing online course, are advised to have prior knowledge of the following topics: probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF), python coding, Numpy, Scipy and Matplotlib so that their lack of knowledge of any particular topic won’t affect their overall learning experience. 

Machine Learning with Python Training Course helps the students to go through the major concepts of Machine Learning using Python and make a thorough understanding of Supervised and Unsupervised Learning. The curriculum will cover the various topics related to machine learning such as clustering, regression, classification, and distinct aspects of python including Matplotlib, Numpy, Scikit, and many more. 

The candidates who want to attend the Machine Learning with Python Training online course must have a basic understanding of Statistics, Mathematics, Python programming, and data analysis. Mindmajix provides the learners with the opportunity to join the programme via three methods of enrolment, namely, corporate training, the self-paced mode, and the virtual live programme led by instructors. 

Machine Learning with Python Training certification, administered by Mindmajix Technologies, will coach the candidates on multiple strands connected to Machine Learning with Python, like Data Structure, Pandas, Seaborn, Python for Data Visualization, Python for Data Analysis, and much more. 

The Visualize data with Python online course has been designed, keeping beginners in mind, and runs for seven hours. Since data is a crucial element in almost all industries, data visualisation has become an integral job. Through this curriculum, you can create effective data visualisations using Python programming. 

During the course, you will also learn how to create custom graphs and charts and become fluent in making data-driven arguments. Furthermore, Codeacademy’s Visualize data with Python certification syllabus covers key concepts such as graphing, data manipulation, and Python language basics. The skill path offered by Codeacademy provides step-by-step guidance to help you learn a new skill easily and in just a few weeks. 

Also, this programme is project-oriented and includes various real-world projects to help you learn through application and practice. In addition, the Visualize data with Python programme includes a certificate of completion that can be a valuable addition to your credentials. The curriculum will end with a capstone project on data visualisation to test your visualisation skills.

Sisense training course is an online training programme designed to enable the learners to become familiar with the concepts of Sisense, a software used for data analytics. By enrolling in the course, the candidates will make a detailed understanding of multiple concepts of Sisense such as data modelling, Sisense Elasticube, migration of Dashboards Across Environments, translating  KPIs into Widgets, the process of creating data alerts and managing Sisense Pulse, and data manipulation. 

Sisense Training online course, delivered by Mindmajix Technologies, will also expose the students to numerous methods to use the Dashboard and its implementation for business purposes. Sisense Training certification makes sure that the candidates are rendered with a deep understanding of various theories like data analytics as well as the practical and in-demand skills training making use of 30 and 20 hours of session for the lectures and labs respectively. 

The Applied Data Science with Python Course has been developed to give candidates an in-depth understanding of the various Data Science techniques that can be performed using Python. The Applied Data Science with Python course uses real-life projects and case studies to impart learning. 

The candidates can establish mastery in data science and analytics techniques using Python by enrolling in this Applied Data Science with Python Course by Simplilearn. Python has become a required and an important skill set for many data science positions in the industry, kick start your career with this interactive, hands-on, Data Science with Python Certification Training Course

Moreover, the Applied Data Science with Python Course online provides a comprehensive knowledge of the Python language and Python packages. You will be able to learn the various types of applied functions, gain an understanding of the data structure in Python, and perform data visualizations using the various libraries.

Once candidates complete the Applied Data Science with Python Course successfully, they will receive an industry-recognised certificate which has lifelong validity.

Intellipaat is a global professional online training provider that imparts numerous courses and certifications to master data science analytic skills through real-world projects in muti domains like e-commerce, retail, finance and many other areas. The programme enhances all the skills of the candidate to uplift the skills and to transfer the path of technology to a digital framework.

In the digital world of technical enhancement Data Science and Python have much more importance to improve the data in various forms and to upgrade technology by most faster means for the most updated technology. To help clients for upskilling their workforce and keep them in sync with changing technology and digital landscape. Data science has core competencies to deploy data for visualization, data science, data cleaning and also the domain of data analytics.

Intellipaat is a global online professional training provider that consists of professors and industrial experts with over more than decades of experience to evaluate learner progress and offer industry-recognized certifications. Upon the completion of the programme, Python Data Science Course and Training candidates will be able to hire in the data science domain with top salaries.

Vskills aims to provide certifications to individuals of pertinent qualifications based on skill tests conducted in an unbiased and secure manner. These certifications enable the students or professionals to broaden their job prospects and manifest their skills.

The Certified Data Science with Python Professional course by VSkills has been designed to give the learners a deeper insight into the concepts of Data Science and develop their skill set for the same. Data science has become crucial for arithmetical and predictive statistical analysis.

This course intends to provide the participants with a comprehensive introduction of the various essentials and techniques of Data Science. It will acquaint the participants with the use of Python in data science as python becomes a vital tool for any data science analyst as well as a data scientist. They will be trained to use python, control flow tools, Numpy arrays for indexing, slicing and iterating and inspecting outliers and data types for making data-driven decisions. They will understand the process of data visualization with the help of seaborn package and the various stages of machine learning.

Python has been used by developers and data scientists across organizations for various daily functions.  Data Science Using Python by E&ICT, IIT Kanpur is an engaging and interactive program. The course format helps candidates learn computational science and engineering using Python and collaborate with different organization functions smoothly. 

The Data Science Using Python certification syllabus includes key concepts like python variables, python functions, python packages, ODE and PDE solvers, differentiation, interpolation, integration, and basics of linear algebra. The course is equipped with practical problems and assignments regularly to improve candidates' understanding. Moreover, the instructors will also help students with their assignment’s solutions and doubts from time to time. 

At the end of the Data Science Using Python online course, there is a final assessment to understand the candidates' knowledge level. Furthermore, the course gives 24 x 7 access to the materials up to 6 weeks, until completion. 

The data science with Python course is developed and offered by the online education provider platform Analytixlab in partnership with the International Business Machines Corporation(IBM) for dual certification for the candidates. This online program consists of 130 hours of course study and eight to ten hours of self-study required by the students every week.

The course curriculum is focussed on the methods of using the Python programming language for data analysis and enables the candidates to acquire the data science skills which can be referred to as descriptive and predictive analytics done with the help of data manipulation techniques and sources from statistical libraries.

The Python programming language drives the application of web analytics along with the techniques of machine learning and artificial intelligence in the field of data science and this significance of Python is studied by the candidates during the course.

The experimental projects and course exercises enhance the practical learning experience of the candidates in data science with Python course training.

The ‘Python A-Z™: Python For Data Science With Real Exercises!’  online course is a study of the concepts and fundamentals of programming in Python. The course is offered by the online education provider platform Udemy for students who are interested in developing their programming skills in Python and solve real-world analytical challenges using a better comprehension of the ideas and strategies.

The independent learning program consists of eleven hours worth of video content, six articles, and access to the course materials at any time that allows the candidates of the program to finish the course at their speed. The course instruction is done by Kirill Eremenko, a professional data scientist. 

The ‘Python A-Z™: Python For Data Science With Real Exercises!’ training program enables the students to upskill themselves for the data science domain. The videos contain subtitles that provide an easy understanding of the concepts and the students are given the course completion certificate after completing the online program.

Data Science And Analysis: Make DataFrames in Pandas And Python online course aims to teach data science and analysis and use the data to generate data frames using Python and Pandas, an open-source library written in Python that provides high-performance and easy-to-use data structures and data analysis tools. Participants will be taught to create completely operational games tic-tac-toe and Blackjack. Participants will also study classes, methods, attributes, instancing, and class inheritance.

Data Science And Analysis: Make DataFrames in Pandas And Python online certification is developed by John Bura - Owner of Mammoth Interactive, Web & Game Developer and Instructor and is made available through Eduonix, an educational organization providing skill development courses and training to students around the country. Data Science And Analysis: Make DataFrames in Pandas And Python online training is divided into two major parts, part 1 deals with Python, how Python is utilized by the companies like YouTube and Instagram, and concepts like variables, functions, and if statements, data structures, handling user input & output and file input & output. Part 2 deals with the process to employ the Python expertise in the Pandas framework to create and modify a data frame and analyze the data.

Introduction to Data Science in Python is an online certification programme provided by the University of Michigan and available on Coursera which is one of the five specializations of Data Science. Thus, this course must be pursued prior to the other course in the specialisation i.e  Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, and  Applied Social Network Analysis in Python. Learners will be able to study data science in Python in greater depth with the tutelage of experienced instructors. 

Introduction to Data Science in Python Certification, accessible on the platform of Coursera, will expose the candidates to basic techniques of Python programming such as lambdas, reading the CSV files, and the NumPy library and python programming environment. By enrolling in the Introduction to Data Science in Python Online Course, the learner will develop the capacity to deal with tabular data and manipulate it along with running the fundamental inferential statistical analyses. 

Introduction to Data Science in Python Certification by Coursera will shed light on data manipulation, and the process of using the group by and pivot tables in an effective fashion. Introduction to Data Science in Python Certification Syllabus will help the students explore the cleaning techniques using the popular python pandas data science library and usage of the Series and DataFrame for data analysis and many more. 

The technological enhancement has led to the development of big technology-based companies and data science has evolved as one of the major tech-driven domains. Data science is a collaborative field that uses multiple techniques like scientific methods, algorithms, processes, and systems to extract the knowledge and data from structured as well as unstructured data and apply the gathered knowledge and the actionable insights from data across a broad range of applications domains. The data science boot camp is the first and only course that shall provide knowledge with the job or refund of learner’s invested money on the course. 

Data Science Boot Camp training shall guide the learner from the basic to the advanced stage and will also prepare them for the job. The online course shall make learners proficient in Data Science, Machine Learning, Python Programming, SQL, Big Data, and statistical libraries. The course is designed with the aim of getting learners placed in prominent companies on a good designation. The learner must complete the course and associated assignments for receiving Data Science Boot Camp certification by Intellipaat. The certificate by Intellipaat is recognized in more than 50 MNCs. 

Also, read

Data science course by Digital Vidya and Future Skills

Through the Data Science With Python Training Course, the students will get a detailed overview of all the gamut of fundamentals related to data science and analytics techniques using Python. The curriculum will cover the concepts of Python Data Science elements including Scikit, Matplotlib, Pandas, Numpy, the principles of deep learning, data visualization, techniques of statistical data analysis, and many more. 

Developed by Mindmajix Technologies, Data Science With Python Training online course will enable the candidates to muster up the skills and knowledge from the industry expert trainers through various hands-on projects and practical training. Data Science With Python Training certification will introduce the learners to Python, basics of Database, Machine Learning with Python, and whatnot. 

The Complete Android N Developer Course online certification is developed by Rob Percival - Web Developer & Teacher, Marc Stock - Mobile Game App Designer, Author, Teacher, App Marketing Researcher, & Codestars by Rob Percival which is presented by Udemy, a US-based e-learning organization. The Complete Android N Developer Course online training has been developed, sharpened, and polished to offer essential information, all of which have been designed for the most recent Android 7.

The Complete Android N Developer Course online classes cover a variety of technologies, such as the open-source parse server, Bluetooth, firebase, Admob, GDX, and many others. The course comprises 32 hours of in-depth video lectures, 106 articles, and 47 downloadable materials covering basic Android N topics, to provide adequate knowledge for learners to develop skills and become certified Android N Developers as they advance in their professional careers.

The soul of programming is said to be data structures and algorithms. Data structures aim to hold the data while the algorithms aim to solve the problem using the data. Data structures are the key to the computer algorithms which help the programmers to manage the data efficiently. The perfect selection of data helps to enhance the efficiency of the computer programme.

Computer science in this era is all about sorting and computing from given data. So, it is necessary to have a powerful knowledge about data structure, it will help one deal with different ways of arranging, storing and processing the data. It helps in utilizing maximum space and also decreases the complexity in deletion of data, addition as well as insertion of data.

To be a successful data processor one should acquire all the skills appropriately and should master their skills that will make them stand out of the crowd. Each and every company searches for an employee who has the ability to overcome all the problems and keep up to the needs and the requirements of the company. This is the platform where they can shape their skills for the same.

Algorithms on graphs is a much-used concept in navigation services and has thus found supreme applicability in the current scenario. Whether it be road networks, social networks or computer networks, this domain offers a lot of scope for learning, especially for engineers. To think of the fastest time to commute, people often resort to a connected set of computers which are strewn through an efficient algorithm or a dense network. This also helps in detecting communities and leaders on Facebook.

Algorithms on Graphs course is one another valuable offering by Coursera which delves deep into the insights of graphs and its varied properties. Candidates will learn traversing graphs and orderly traversing of the same to perform meaningful tasks. Discussion on shortest paths algorithms from basic level used to open doors till faster ones used in Google Maps will be conducted. Pursuing this course will also help candidates in pursuing Fast Shortest Routes industrial capstone projects if they wish to.

This course concludes with minimum spanning trees utilised in road planning and telephone and computer networks.

Edureka’s Decision Tree Modeling Using R Certification training course combines theoretical and practical knowledge to make you skilled in this domain. You can obtain relevant expertise in Decision Tree Modeling using R. The programme is self-paced, comprising an online LMS with unlimited access. Therefore, you can learn at your pace and revisit the lessons any time you like. 

The Decision Tree Modeling Using R training syllabus touches upon core topics like Data design, Pruning, Regression Tree, etc., along with algorithms such as CART, CHAID, GINI, ID3, and more. To learn these in the best way possible, you’ll work on practical assignments, case studies, and study via online videos and PPTs. 

Furthermore, you can access the community forum for immersive learning. This forum will enable you to engage in peer discussions and solve common queries. On course completion, you will also be eligible for the Decision Tree Modeling Using R certificate, recognised by numerous organisations worldwide. 

The Certificate in Data Structures and Algorithms Course is an online course provided on the V Skills platform. The course includes expert video tutorials discussing topics including fundamentals of data structures like structure, linked list, stack, array, pointer, queue, graph, searching, sorting, and programs along with types of algorithms. 

The Certificate in Data Structures and Algorithms Training Course is spread over 42 learning hours by expert instructors. The course will provide a detailed understanding of the basics of algorithms starting right from O-notation to advanced concepts of search and sort algorithms. The course will also include the analysis of algorithms as applicable for trees and graph data structure.

The Certificate in Data Structures and Algorithms Online Course is suitable for anyone who would like to develop their data science knowledge and types of data structures and algorithms. The course will provide a thorough understanding of various aspects of data structures in a way it makes a beginner in this field familiarize with the concepts quickly. The course includes a final online examination and upon qualification, learners will get a certificate.

Python for Data Structures, Algorithms, and Interviews online course is the most complete course available on the internet for acing coding interviews. The candidates with this short course will be learning about Data Structures and Algorithms. The course makes use of the simple Python programming language to quickly teach you everything you need to know to land your ideal coding job. 

Python for Data Structures, Algorithms and Interviews online certification is a short-term course developed by Jose Portilla, Head of Data Science, Pierian Data Inc., and Udemy Inc., a US-based online learning platform. 

Python for Data Structures, Algorithms, and Interviews syllabus mainly focus on helping learners develop the skills and knowledge to get a programming job in the industry. The course provides 16+ hours of video content for understanding the topics, 20 articles, 40+ downloadable resources which cover topics such as algorithm analysis, array sequences, Big-O Notation, stacks queues, and deques, Jupyter notebooks system, trees, recursion, and many more. The course also helps the learners with creating resumes, LinkedIn and GitHub profiles, networking, job searching tools, preparing for Q&As in interviews.

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming is an online programme provided by Stanford University that will help the learners to have a solid understanding of greedy algorithms and dynamic programming.  Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming Certification Syllabus will walk the student through many concepts including scheduling, minimum spanning trees, knapsack, sequence alignment, and the like. 

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming Certification Course, offered by Coursera, is an intermediate course that is the third in the four courses of Algorithms Specialization. Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming Certification by Coursera is structured in a fashion in which the students can decide the deadline on their own and can be completed within about 14 hours.