List of Online Courses and Certifications

Pattern Detection with Python Regular Expressions (Regex) course is an online short programme created by Chandra Lingam. The curriculum will help the learners to explore the Python regular expressions along with the practical knowledge for Input Validation, Data Processing, and Transformation. The short course also imparts the skills to participants to use regex to locate and transform data of interest and make a detailed understanding of potential performance issues and techniques.  

Pattern Detection with Python Regular Expressions (Regex) online course, offered by Udemy, make the opportunity to gain the relevant information of regular expressions of Python such as Data Preparation, Input Validation, Cloud Services, etc. that the learners can apply in their own projects. The course also provides the participants with practical techniques with hands-on projects, examples, quizzes, and quality audios and videos. 

Pattern Detection with Python Regular Expressions (Regex) certification also offers the learners updated course material, lifetime access to the learning material, and video lectures. The programme demand from the learner having familiarity with programming to make use of the training completely. The interested candidates can enrol in the course by paying the fee.

The Python Bible™ | Everything You Need to Program in Python certification course is designed for individuals interested in data science, web development, artificial intelligence, or building robots as their own project using programs like Raspberry Pi. The course will help you learn the key fundamentals of Python programming to confidently begin your career as a python programmer.

The Python Bible™ | Everything You Need to Program in Python online certification is a short-term course offered by Udemy Inc., a US-based online learning platform. The content of the course is developed by Ziyad Yehia, an expert in teaching who uses a project-based approach and Internet of Things Academy.

The Python Bible™ | Everything You Need to Program in Python syllabus covers all the major operations in the python programming language to learn and develop the skills and techniques required in the industry which includes variables, numbers, strings, logic and data structures, loops, functional programming and object-oriented programming (OOP). interested candidates can enrol themselves in the course by enrolling themselves by making an online payment of Rs. 3,499 only.

Python 3: Deep Dive (Part 1 - Functional) online certification is created by Fred Baptiste, a professional developer, mathematician, and instructor, for professional programmers and developers who want to dive deep into Python and learn all of its functions and operations from the ground up. It is presented by Udemy, a US-based ed-tech company that provides students with the best and most up-to-date skills through its online courses.

Python 3: Deep Dive (Part 1 - Functional) syllabus contains complicated topics, learners are advised to have prior knowledge of the following topics in order to get the most out of the course: variables and simple types such as str, bool, int, and float types, for and while loops, if/else statements, using simple lists, tuples, dictionaries, and sets, defining functions using the def statement, writing simple classes using the class keyword and the __init__ method, writing instance methods, and importing modules from the standard library. 

The Complete Pandas Bootcamp: Data Science with Python course is an online certificate prgrammes that provides you a comprehensive understanding of Pandas which is a software library written for Python to use for data science/data analysis and machine learning tasks. The course will explore Machine Learning (ML) and handling and managing financial data,  the two key applications of Pandas. The curriculum equips you with must-have potential for data science and machine learning (ML) and expertise in data analysis and data manipulation. 

The Complete Pandas Bootcamp: Data Science with Python online course is broadly divided into five parts. They are (1) Pandas Basics, (2)The complete data workflow A-Z with Pandas,(3) Two Comprehensive Project Challenges, (4)Application 1: Pandas for Finance, Investing and other Time Series Data and (5) Application 2: Machine Learning with Pandas and scikit-learn. The certificate programme prepares you for the real world facilitating the learning of Pandas with real data. 

The Complete Pandas Bootcamp: Data Science with Python certification, provided by Udemy, also gives you the chance to explore practical knowledge in data science with Python as well as 150+ exercises, quizzes, and projects. You can take the course as per the level of difficulty and have the opportunity to choose between guided and non-guided modes of the course as per your comfort. The interested learners could enrol on the course by paying the fee. Early birds will be given a discount.  

Learn Python Programming Masterclass online course will focus on the usage of the Python programming language and learning the skills and using them in developing and programming purposes. Learn Python Programming Masterclass certification course is developed by Udemy Inc., an online course provider aimed at professionals and students.

Python is among one of the most used programming languages on the planet, with big firms like Google using it in mission-critical services like Google Search. Python is also the most widely used programming language in the fields of data science, machine learning, and artificial intelligence.

Learn Python Programming Masterclass course is designed for absolute beginners who have never programmed before, as well as professional python programmers who want to polish their skills and broaden their career prospects. The course content is focused to help the learners develop the skills and make them prove their worth in the eyes of the employers. So, take a step forward in broadening your career opportunities by enrolling yourself in the course.

Make 2D & 3D Graphs in Python with Matplotlib for Beginners online training focuses on teaching data visualization using python coding and using Matplotlib, a Python 2D plotting tool.

Make 2D & 3D Graphs in Python with Matplotlib for Beginners certification course is developed by John Bura - Owner of Mammoth Interactive, Web Developer & Instructor and presented by Eduonix, an educational organization aimed at providing the best learning content and methods.

Make 2D & 3D Graphs in Python with Matplotlib for Beginners online course is organized into two major sections. The first section teaches Python and its concepts such as variables, functions, if statements, data structures such as lists, dictionaries, and sets, for and while loops, and handling user input and output. The second section discusses Matplotlib for data visualization and how to use it in Python to build 2D and 3D graphs. Individuals will also be taught how to troubleshoot errors that may occur while programming code. 

Create Arrays in Python NumPy - Learn Scientific Computing online course is designed for coding beginners since it begins with a thorough introduction to programming in Python, a popular coding language used by internet companies such as YouTube and Instagram. The course makes use of NumPy 1.12.0, the fundamental Python for scientific computing, and performs computations using NumPy arrays. Students learn about arithmetic functions, statistics, and polynomials with NumPy.

Create Arrays in Python NumPy - Learn Scientific Computing online certification is created by John Bura - Owner of Mammoth Interactive, Web & Game Developer and Instructor and offered by Eduonix, an online learning platform. Create Arrays in Python NumPy - Learn Scientific Computing syllabus covers the fundamentals as well as advanced concepts of Python programming and the NumPy library, such as variables, functions, statements, dictionaries, lists, loop, input & output, classes, attributes, error handling, and many more, and is accompanied by 22 hours of pre-recorded videos to allow students to learn at their own pace.

Many of the companies, all around the world, face a huge mountain of data as the world progresses and transforms more into an open book. The issue with it is that it has made evaluating that data and making a scheme on it that much difficult with its quantity.

Deep Learning solves this issue by processing all that data in a better and faster way even if their network structures are complex in nature. However, there are not many people who can design Deep Learning models and train them for such a task.

This is where Certificate in Deep Learning with TensorFlow comes in. The course by Vskills teaches the candidates how they can tailor their Deep Learning models and measure them to the task of processing larger datasets and go through them even if they are complex in nature. Furthermore, it teaches the applicants the techniques behind the distribution of work in both high and low TensorFlow.

TensorFlow Training course is designed to help the learners to develop a solid understanding of all the aspects of TensorFlow. The online training programme offered by the online educational training platform Mindmajix will equip the learners with deep knowledge on the core essentials of TensorFlow, the open-source software library for machine learning and artificial intelligence,and will help to pass the TensorFlow Certification test.

TensorFlow Training online course will also enable the students to acquire the potential to develop deep neural networks. The curriculum will explore Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Restricted Boltzmann Machine(RBM), Deep Networks and the like through practical projects and case studies.  TensorFlow Training certification stipulates for the candidates having the fundamentals of programming and basic knowledge of Mathematics and Statistics. Mindmajix provides three options for enrolment into the online programme; virtual live instructor-led training, corporate training and self-paced training through pre-recorded videos. Post the course, the learners will be provided with the premium features of Career Counseling Sessions, Mock Interviews, Custom Resume Builder Access and many more.

One of the best libraries for deep learning implementation is TensorFlow. TensorFlow is a software library that uses data flow graphs to compute mathematical expressions numerically. The Deep Learning with TensorFlow certification course was created by Packt Publishing, a tech-focused educational platform, and is made available by Udemy, which is targeted at learners who want to learn how to use TensorFlow to explore deep learning's potential.

Deep Learning with TensorFlow online course involves 2 hours of comprehensive video-based learning resources that are targeted at learners who want to become certified data scientists so they can perform machine learning and regularly work with neural networks. Deep Learning with TensorFlow online classes discusses topics like neural networks, image recognition, logistic regression, convoluted neural networks, and recurrent neural networks as well as discuss multiple significant deep learning algorithms covered, as well as numerous examples that make use of deep neural networks.

Application performance management course is a course intended to monitor the performance and availability of software applications, by detecting complex issues in it and solving them to maintain the level of service which is expected by a consumer. It is very beneficial for management professionals and students.

Certified application performance management (apm) professional course by v skills not only widens the arena of employment for you but also polishes your skills and builds a scope of increasing your pay skill.  They cover topics such as apm basics, apm components, apm tools and much more. They offer a huge range of courses to you which can refine your profile.

They cover around forty seven topics in eight units which is sufficient for a candidate to excel in this market surrounded by tough competition.

One cannot learn everything at a time. This course by v skills is just like another chance to revamp your professional life and CV.

If you want to be a professional in Data Mining and Warehousing, Vskills Data Mining and Warehousing Certified Professional program is the right place for you. Just like the actual Mining, it is the process of extracting information and other patterns from very large sets of bulky data with the use of different statistical techniques and methods & artificial intelligence skills and strategies with database management. 

The certification on Data Mining helps the learners to apply algorithms and strategic techniques to solve and convert the interesting and actual data mining challenges for the professionals.  Data quality and converting methods and techniques for pre-processing the large amounts of available, bulky data. 

Modeling and design of data warehouses, clustering and association rule analysis, application of Algorithms for classification. With the Practical use of software for data analysis, it helps in the field, for professionals to know the fundamentals.

The Data Science: Data Mining & Natural Language Processing in R online course is a study about the clustering, classification, and regression of data in R with the help of data preprocessing, data visualization, and machine learning. The course is provided by the online education platform Udemy for the students who are interested in learning data science with R fundamentals and strategies.

The course curriculum is developed with thirteen hours of video content, four articles, and ten downloadable resources that can be learned by the students at their speed and convenience. The educator for this online program is Minerva Singh who will guide the students with discussions on data mining, web-scraping, text mining, and natural language processing. 

The Data Science: Data Mining & Natural Language Processing in R training program enables the students to gain knowledge through experimental learning strategies and applications. The candidates are given the course certificate after completing the online training.

The ‘Information Retrieval and Mining Massive Data Sets’ online course is developed for the learners to gain knowledge about the different methodologies and strategies required to create an Information Retrieval system. The program is provided by the online education platform Udemy. The course curriculum consists of thirty-nine hours of videos and lectures which can be learned independently by the students at their own pace.

The course instruction is provided along with the English language subtitles that aid in a better understanding of the concepts. The theoretical concepts and the practical application of information retrieval and mining large data sets are engaged by the students and guided by the course instructors, Omkar Despande and the Mentors Net.

The ‘Information Retrieval and Mining Massive Data Sets’ training program equips students with the opportunity to have access to the course materials any time and the students will receive the course completion certificate after finishing the course.

The Outlier Detection Algorithms in Data Mining and Data Science online course is about the basic and advanced techniques and strategies of outlier detection with improving the programming skills with the algorithm application in Python, R, and SAS. The Outlier Detection Algorithm course is developed and provided by the online education platform Udemy for students interested in learning fraud detection and intrusion detection.

The course curriculum consists of two and half hours of video content and ten downloadable resources available to the students at any time to access after joining the program. The course instruction is offered by the KDD expert, a data scientist, and a professional with data mining, data analysis, and machine learning. 

The ‘Outlier Detection Algorithms in Data Mining and Data Science’ training program is a self-paced learning program that provides the students a course completion certificate after finishing the course study. The online program helps the students gain an opportunity in learning about the theoretical and practical applications of the outlier detection techniques in data mining and data science.

Data mining is the process of sifting through large data sets to identify patterns and relationships that can be utilized in data analysis to solve business problems. Techniques and tools for data mining enable businesses to anticipate future trends and make more informed business decisions. Data mining is a crucial component of data analytics and one of the fundamental disciplines of data science, which employs advanced analytics techniques to extract useful information from data sets. Data mining is a component of the knowledge discovery in databases (KDD) process, which is a data science methodology for collecting, processing, and analyzing data. 

Regression, Data Mining, Text Mining, Forecasting using R online training Includes 33 hours of video, five articles, 36 downloadable resources, and a digital certificate upon course completion. Regression, Data Mining, Text Mining, Forecasting using R online classes comprised of data science, statistics, hypothesis, basic programming using R, predictive analytics, data mining, mixed data, and dimension data analysis

Companies mine data for insights. Businesses can better understand their customers, boost sales, and cut costs by using software to find patterns in large data sets. Data mining requires data collection, storage, and processing. Data is collected and loaded into data warehouses, next, they store and manage data on in-house or cloud servers. Management, business analysts, and IT professionals organize the data. Then, the application software sorts the data based on the user's results, and the end user shares the data in a graph or table. Data Mining with R: Go from Beginner to Advanced! certification is made available by Udemy to candidates who want to learn R software can be used to analyze data, show how it looks, and do numerous data mining tasks.

Data Mining with R: Go from Beginner to Advanced! online training Includes 12 hours of video,17 downloadable resources, and a digital certificate upon course completion.

Data Mining with R: Go from Beginner to Advanced! online classes consist of data types and structures in R,  data and file input and output,  visualizing data, decision trees, linear modeling regression, regression and GLM, agglomerative hierarchical clustering, and cluster analysis

Data mining involves the use of methods from machine learning, statistics, and database management systems to discover and extract patterns from large data sets. The goal of data mining, which spans the disciplines of computer science and statistics, is to take a dataset and, with the help of algorithmic analysis, derive useful insights from it. Data mining is the "knowledge discovery in databases" (KDD) analytical phase. In addition to the raw analysis, it consists of database and data management, data pre-processing, model and inference considerations, interestingness metrics, interconnectivity aspects, post-processing of discovered structures, visualization, and online updating. Data Mining with Rattle certification is made available by Udemy to candidates who wish to learn more about life-cycle data mining with the widely used data miner

Data Mining with Rattle online training includes 15 hours of video, 15 resources that can be downloaded, and a digital certificate when the course is done.

Data Mining with Rattle online classes consisting of rattle interface and tabs, introduction to data mining, loading and describing data in rattle, interactive data exploration, cluster analysis, association analysis, decision trees, random forests

The strongest security and privacy regulation on the planet is the general data protection regulation. Despite being developed and adopted by the European Union, it imposes duties on enterprises worldwide and imposes severe fines on anyone who disobeys its security and privacy requirements. Robert Sullivan, a business academic, entrepreneur, and coach to CEOs, designed the Complete GDPR, GDPR Certification, data protection, privacy online course, which is made available through Udemy.

Complete GDPR, GDPR Certification, data protection, privacy online training is aimed at learners who are interested in mastering the concepts associated with data protection and compliance with data security. Complete GDPR, GDPR Certification, data protection, privacy syllabus provides 2.5 hours of videos along with articles, downloadable study materials, assignments, and case studies which provides a deeper understanding of the topics like data processing, data profitability, data profiling, data subjects, personal data and more.

The Python for Data Science and Machine Learning Bootcamp online course is a study about Data Science that focuses on the software programming language Python to assess data, create data visualizations, and techniques to utilize machine learning algorithms. This online course is provided by the online education provider Udemy for the students who wish to develop their skills in Data Science.

The course instruction is done by the course educator Jose Portilla, the head of Data Science at Pierian Data Inc. This Data Science program engages students in theoretical concepts and practical learning of the programming language and algorithms. This online course enables the students to upskill themselves as Data Scientists.

The online video lectures, articles, and other resources aid in the enhanced discussion of concepts and principles of data science. The student of the ‘Python for Data Science and Machine Learning Bootcamp’ training program is given the course certificate after completing the course.

The Learn Data Science and Machine Learning with R from A-Z online certification address the real statistical computer science topics such as programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organising and commenting on R code as well as how to utilise R for successful data analysis, visualisation, and practical data application.

Learn Data Science and Machine Learning with R from A-Z certification course is created by Juan E Galvan - Entrepreneur, Web Developer & Instructor and offered by Eduonix, an E-learning platform focused at both beginners and experts to help them develop new skills and polish the existing. Learn Data Science and Machine Learning with R from A-Z syllabus covers six main sections such as Data Science + Machine Learning course + R Programming Intro, Data Types/Structures in R, Data Manipulation in R, Data science in R, Machine Learning, and Starting a Data Science Career. The course offers more than 28.83 hours of pre-recorded videos in 81 separate lectures. 

Complete A.I. & Machine Learning, Data Science Bootcamp certification course is designed by Andrei Neagoie - Founder of zerotomastery.io & Senior Software Developer, Daniel Bourke - Machine Learning Engineer, Writer, Videomaker and Instructor, and Zero To Mastery, which is offered by Udemy. Complete Machine Learning & Data Science Bootcamp 2022 online course focuses on offering the most up-to-date learning resources regarding machine learning and data science, so students do not have to go through outdated learning materials.

Complete A.I. & Machine Learning, Data Science Bootcamp online training is a thorough and project-based course that introduces learners to all of the abilities that a data scientist must possess. This course includes more than 40 hours of extensive video lectures that aim to teach the core concepts of data science and machine learning, as well as topics such as data visualization, data analysis, and teaches about various technologies that allow individuals to gain real-world experience with data science projects, such as Python, TensorFlow, neural networks, deep learning, and NumPy.

Julia Training course is an online training on Julia programming language created and administered by the e-learning platform Mindmajix. The online programme aims at providing the students with a solid foundation on the programming language of Julia focusing on statistics, scientific computing and numerical accuracy. The learners will master all the aspects of Julia which is a dynamic and high-performance programming language through this training programme.

Julia Training online course could be taken by the candidates through either the self-paced e-learning videos of 30 hours or Zoom or Google meet live sessions led by instructors. The training for corporate entities is also available in this training programme on programming. The curriculum will equip the participants with a deep understanding of various strands of Julia such as Scalar Types, Control Flow, Functions, Arrays, Metaprogramming, Plotting, Parallel Computing and whatnot.  The learners who pursue the Julia Training certification will also be provided with the aid to attend the interview with confidence, access to the e-learning videos all their life, support to come up with an outstanding resume at the end of the programme.

RA: Data Science and Supply Chain Analytics. (A-Z with R) online certification was designed by Haytham Omar, a Supply Chain Consultant, and is offered through Udemy which is meant for students who wish to become supply chain data scientists by combining data science and supply chain knowledge. The RA: Data Science and Supply Chain Analytics. (A-Z with R) online course by Udemy is organized into interactive learning modules that begin with supply chain foundations and end with R programming fundamentals.

RA: Data Science and Supply chain analytics. (A-Z with R) online classes cover 38 hours of detailed video lectures along with articles, 56 downloadable resources, and assignments to help students gain practical knowledge of the supply chain applications using data science. Forecasting, revenue management, inventory management, simulation modeling, data manipulation, and data cleaning are all covered in this course. Students who wish to learn everything presented in this course must enroll and pay for the lifetime membership to access the course content.

We are witnessing and adapting to the fourth industrial revolution, Industry 4.0, powered by Big Data and AI. At the global level, data integration has become highly essential for organisations and businesses to achieve global competitiveness. With the prevalence of Big Data all around, it becomes highly relevant to explore the underlying information and reap optimum rewards. In this scenario, data science and analytics enable decision-makers and business leaders to understand, manage and utilise data effectively.

R is a free, open-source programming language that is widely used by data scientists and analysts for developing software and applications in a data science setting. R offers tools and techniques for data analysis, statistical computations and data visualisation. R is available to use on various operating systems and is widely recognised for its extensibility, which allows developers to develop and distribute their own software as add-on packages. These features make R programming an ideal choice for data science experts and data analysts to utilise R in a variety of fields and areas.

The R Programming Environment online certificate course offered by Johns Hopkins University via the Coursera platform aims at providing useful knowledge of R Programming Language to data scientists, data analysts and data science experts to efficiently work in data science settings. This 100% online programme is of intermediate level and the first course in the Mastering Software Development in R specialisation.

The programme Certificate in R programming is introduced by V skills academy to prioritize the career by programming with R. 

The main goal of the academy lies with the career-building to the students who are interested in programming and its basics. Therefore, the VSkills academy helps the candidates with conceptual learning and practical skills as well to educate the candidates with the key basics of R Programming.

R programming is used for data analysis and data visualization to sort the data, queue the data, and merge the data as well. 

R programming with combined data science has a better future for the candidates in the field of robotics, artificial intelligence, and machine learning. Therefore, there is a need to get the best skills in R programming, and thereby V skills academy comes into the act.

The academy has many joining hands with the MNCs and top global companies. So the academy helps the candidates to get them hired in their desired field with their skills and knowledge. The academy offers an e-certificate that is sharable to resume and CVs and the certificate is approved by the government. So it adds value to the resume and increases the chances of hiring the candidate.

Amity Future Academy, in collaboration with Berkeley Global, offers the Certificate in Machine Learning with Generative Artificial Intelligence course. The course aims to hone skills, enhance machine learning (ML) and deep learning competency, and provide in-depth knowledge for handling popular platforms and languages.

Industry leaders from data science, deep learning, and machine learning domains teach the course. The

Certificate in Machine Learning with Generative Artificial Intelligence course covers topics like ML techniques using Python, deep learning-neural networks, exploratory data analysis, Keras and TensorFlow, and more. After the completion of the programme, students will gain expertise in the critical concepts of AI, deep learning, ML, data science, and data mining. Candidates will be adept at making strategically essential decisions in their professional domain with Machine Learning techniques, various algorithms, and models.

Students will get access to an industry-driven comprehensive curriculum featuring a capstone project, four case studies, assignments, and quizzes. Learners will receive dual certification from UC Berkeley and Amity Future Academy after finishing the Machine Learning with Generative Artificial Intelligence course.

Learning Python for Data Analysis and Visualization online course is designed to help the participants learn how to programme with Python and use it to analyse data in conjunction with scientific computing modules and libraries. The Learning Python for Data Analysis and Visualization course is offered by Udemy Inc., a provider of online courses for professionals and beginners.

Learning Python for Data Analysis and Visualization training involves NumPy & pandas Jupyter notebook, data visualisation seaborn, JSON, HTML, MS Excel Worksheets to help learners understand the methods to construct, analyse and manipulate data. The course also provides content on machine learning with python.

The Learning Python for Data Analysis and Visualization certification course also provides lifelong access to over 100 sample python code notebooks, new and updated videos, and assures future updates of other data analysis projects to utilise as a portfolio to showcase hiring managers. Candidates have to pay Rs. 3,499 by any online mode of payment who wish to enrol themselves in the course.

The R Programming for Statistics and Data Science online course is a 6.5 hours short program provided by Udemy. The course includes 39 articles and 36 downloadable resources. Candidates will get lifetime access to the course content. The course covers the fundamentals of R in programming.

The R Programming for Statistics and Data Science training teaches about loops, conditional statements and functions of R programming. The course teaches candidates to build functions in R and get the data in and out of R. The course includes basic tools used in data science with R, ggplot2 package, and grammar of graphics.

The R Programming for Statistics and Data Science syllabus covers the fundamentals of statistics, hypothesis testing in R. The course teaches to draw insight and visualize different types of data to make data-supported decisions. Candidates can access the course content on their television and smartphone.

Python for Finance: Investment Fundamentals & Data Analytics online course is designed to help candidates learn concepts and skills of python for finance, investment, tackle financial calculations and portfolio optimization tasks for both beginners who have never even coded before and professional python programmers who want to polish their skills and to help them increase their opportunities to enhance their career prospects.

Python for Finance: Investment Fundamentals & Data Analytics online certification is a short-term course offered by Udemy Inc., a US-based online learning platform. The course content is created by 365 careers, ranking 1 among Udemy’s best-selling providers of business, data science, and finance.

Python for Finance: Investment Fundamentals & Data Analytics syllabus covers major topics, tools, and techniques useful for data analysts and financial analysts such as Rate of return of stocks calculating the risk of stocks, rate of return of stocks, risk of a stock portfolio, covariance, the correlation between stocks, diversifiable and non-diversifiable risk, alpha & beta coefficient, regression analysis, Sharpe ratio, Markowitz efficient frontier calculations. Candidates will also learn about derivatives and their types, using Monte Carlo for options pricing and stock pricing, the Black Scholes formula, and many tools to help learners develop skills at a cost of Rs. 4,999 only.