List of Online Courses and Certifications

Increasing Real Estate Management Profits: Harnessing Data Analytics certification is a 2 weeks course that can be undertaken only if the participants have finished off courses 1-4 of the Excel to MySQL: Analytic Techniques for Business Specialization. The certificate is given by Coursera in partnership with Duke University.

In this final Increasing Real Estate Management Profits: Harnessing Data Analytics training, candidates will be completing a Capstone Project that usually uses data analytics to recommend how one can improve his or her company’s profits. Here the company will be Watershed Property Management, Inc. where students will be trained to develop their MySQL database skills that database skills so that data can be extracted with ease. The participants will also be ready to articulate process change for their business, Watershed which can be based on their data analysis.

Introduction to Accounting Data Analytics and Visualization is an online course designed for beginner-level students. The online programme is meant to help the accounting students to have analytical skills and equip them with the capacity to manage the data analytic programming languages such as R, Python and whatnot. Introduction to Accounting Data Analytics and Visualization Certification Syllabus will explore various aspects of financial accounting and analytics including data assembling, the process of big data analysis using Excel and Tableau and many more. 

Introduction to Accounting Data Analytics and Visualization Certification Course, the online programme by Coursera, is offered by the University of Illinois at Urbana-Champaign. It is the first course in the four Accounting Data Analytics Specialization courses. After the completion of the Introduction to Accounting Data Analytics and Visualization Certification by Coursera, the learners will be provided with a certificate of completion after making the payment of the fee prescribed by Coursera. 

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 320 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 Data Analytics using R Programming online course is offered by the online education provider platform ‘Edu Plus Now’ in collaboration with the Indian Statistical Institute in Pune. The data analytics program will take twelve days to complete the course and is scheduled on the weekends for the interested candidates.

The course study is about data analytics in which the statistical and mathematical frameworks are used to sort the data collected and find the inherent patterns and probabilities. In this course, the students will be able to develop an expertise in R programming with the help of data preparation, fundamental analytics, prescriptive analytics, exploratory data analysis, classification, clustering, and time series analysis. 

The experimental projects in this ‘Data Analytics using R Programming’ training enable the students to gain a deeper understanding and knowledge of the concepts of data analytics and an opportunity to know more about the domain of data science.

With the Data Science for All by PDPM IIITDM Jabalpur, learn all about data science. The training starts with focusing on the mathematical foundations of data sciences. Here, you explore vectors, matrices, matrix decomposition, vector spaces, singular value decomposition, probability basics, statistical measures, variance, density function, Markov Chains, and conditional probability.

The Data Science for All course syllabus also dives deep into data processing, covering concepts like dimensionality reduction and principal component analysis. The curriculum devotes a section to familiarise you with the fundamentals of machine learning. Here, you develop a good understanding of classification – decision trees, regression, Naïve Bayesian Classifier, handling large datasets: MapReduce, and clustering.

Besides, the Data Science for All certificate programme ensures that you master industry-relevant concepts, including deep learning, data wrangling, programming the normal Python, data visualisation, NumPy, Matplotlib, and Pandas. You even get to practice on ML topics such as Keras and TensorFlow, and Scikit.

Moreover, the Data Science for All training is being offered online through live web conferencing. The course comprises of hands-on learning, theory lectures, assignments, activity-linked problems, case studies, quizzes, problem-solving sessions, and more.

The Data Science for All online course is developed under NIT Patna's joint online faculty development programme. Expert professors in the country are responsible for planning and organising the curriculum. The programme's curriculum is rather advanced so that applicants can learn better and develop themselves. In order to make them stronger, the Electronics & Information and Communication Technology Academy (E&ICT) of NIT Patna are conducting the Data Science for All class programme for faculty, PhD researchers and others.

7 academies of Electronics & Information and Communication Technology (E&ICT) were founded by the Ministry of Electronics and Information Technology of the Government of India. Data Science for All certification course of NIT Patna intends to construct and integrate basic and advanced training programmes in the speciality areas of electronics and ICT in order to enhance the skills, knowledge base and necessary resources to augment the teaching society with greater knowledge.

There are 18 NITs established by MHRD, the Government of India. The institute has always offered its students with high academic excellence. Participation in NIT Patna's Data Science for All programme will prove useful to all candidates.

The business analytics 360 courses is designed and provided by the online education provider platform Analytixlab partnered with IBM for the dual certification. This online program is scheduled for the students in three different modes that include live sessions, online learning, or self-study. The modules are taught through thirty-three classes which will require the students to spend three-sixty hours.

The course study is about the primary statistical concepts and principles to the advanced level of analytics along with the predictive modeling strategies. The candidates can upskill themselves to establish their career associated with business analytics and counter real-world challenges. 

The interactive sessions and doubt resolution support the students and aid in their experiential learning of data science and business analytics. The business analytics 360-course training helps the candidates gain professional guidance for career development. The course modules consist of assignments and capstone projects, which ought to be completed by the candidates to receive the certification.

The analytics edge - business analyst online course is developed and provided by the online education provider platform and a leading institute in data science, the Analyticxlab for the candidates who aspire for a career in business analytics. This course will take 220 hours to complete the training which includes twenty-six classes and eight to then hours every week dedicated for independent learning.

The course content is aimed at developing the knowledge and understanding of the fundamentals and aspects of business intelligence and the significance of the analytical skills for the students and professionals in the data science industry.

The hands-on experiential learning by the students includes industrially relevant projects to exercise the theoretical knowledge gained during the course and assignments and case studies to understand the concepts. The analytics edge - business analyst course is collaborated with International Business Machines Corporation to provide the candidates with dual certification of the course. 

The certified big data engineering course is offered and developed by the leading data science institute and online education platform in collaboration with the International Business Machines Corporation. The course is organized for 210 hours which includes thirty classes, e-learning sessions, and eight to ten hours of every week for independent study.

In this program, the learners gain the highly demanded knowledge and skills of big data analytics that drives data processing and management in industries. This course enables the students to become big data professionals who are required in the fields like Information Technology and Information technology-enabled services. The experiential learning techniques with the projects, assignments and other practical exercises provide the students with a wholesome learning experience.

 In this certification program, the students will get an opportunity to receive dual certification partnered with IBM. The certified big data engineering course is a skill development program that also provides career guidance for the participants.

The Learning path in Data Science certification course is one among the lengthiest computer science courses available in the country, and it has expanded with the growing computer science industry.  The Learning path in Data Science online course by FutureSkills Prime is intended for candidates who want to enhance their knowledge and skills in data science activities.

Learning path in Data Science online classes contain 200 hours of video-based training led by an expert data scientist who teaches about machine learning, data visualization, and several technologies that allow candidates to work on their data science project, including Python, Jupyter, Anaconda, Numpy, Matplotlib, Seaborn, Tableau, Excel, Power BI, MySQL, and many others. Candidates will also receive two certificates of completion from the Board infinity and FutureSkills Prime upon satisfactory completion of this course.

The Data Science Using Python course was developed by Digital Vidya and is given by FutureSkills Prime which is focused on teaching candidates about data science and machine learning using Python. The Data Science using Python online course is designed to teach the concepts and principles of data analysis and data visualization using the Python programming language.

Data Science Using Python online classes by FutureSkills Prime and Digital Vidya offer 176 hours of prerecorded video-based lectures structured into 7 stages, beginning with the fundamentals of Python and progressing to topics such as Numpy & Pandas, as well as the data visualization in Python covering all chart types along with Matplotlib and Seaborn, and finally, the fundamentals of machine learning using Python. By the end of this program, candidates will learn how to use Microsoft Excel, Structured Query Language, and Power BI to perform various analytical approaches and data visualization.

The strategies and technologies that are utilized by the companies to analyze, collect and store the data are business intelligence. As the world is experiencing its fourth industrial revolution in the form of technology, everyone is experiencing and accepting the change. Business Intelligence and data analytics are such domains that have observed rapid growth and have become an inseparable part of organizations. Organizations require people who have skills and are professionals while using the technologies for business intelligence and data analytics. The Business intelligence and data analytics: Generate insights course is an initiative by Macquarie University for the learners who are willing to be a part of BI and Data analytics. 

Business intelligence and data analytics: Generate insights training is delivered by the experts of Macquarie University on the online learning platform Coursera. This is a 1 weeks online course with flexible deadlines. The course aims to provide a comprehensive understanding of BI and data analytics through reading material, videos, and quizzes. The students who shall choose the certification mode will receive Business intelligence and data analytics: Generate insights certification by the Macquarie University by the end of the course.

Business Intelligence is the recent technological advancement in the working of organizations that has altered its traditional practices of working and taking decisions. It is a set of technologies that help to collect, analyze and store data. A data warehouse is a set of management tools that supports business intelligence. It is used in reporting and data analysis. With the increase in the organizations who are adopting the BI tools, there is an increase in demand for the professionals who have the caliber to run and use such tools for the development of the company. Business intelligence and data warehousing is an initiative by the National Autonomous University of Mexico on the online learning platform Coursera for students who are willing to learn this technology.

Business intelligence and data warehousing training is the available online mode with flexible deadlines on the learning platform of Coursera. The duration of the course is 1 week and the classes for this course will be completed in 10 hours. The candidates will learn through videos, reading material, and quizzes. Those who have opted for the certification mode will receive Business intelligence and data warehousing certification from the National Autonomous University of Mexico.

The Introduction to R Programming for Data Science online certification was developed by IBM Skills Network and instructed by Yan Luo, Ph.D., Data Scientist, and Developer and is made available through Coursera and is targeted at individuals who are interested in learning the fundamental ideas behind data science and data analysis operations using the features of R programming. The Introduction to R Programming for Data Science online course teaches individuals about the fundamentals of the R language, including data types, data manipulation methods, and how to carry out basic programming operations.

Introduction to R Programming for Data Science online classes contains 10 hours of video-based study materials that introduce individuals to basic programming concepts, standard data structures, and data manipulation techniques, all with the assistance of the R programming language. Individuals who successfully finish this program will be able to develop a basic program in RStudio, work with data in a data frame or matrix, and complete the final project as professional data analysts utilizing Watson Studio and Jupyter notebooks to gather and evaluate data-driven insights.

The Python Project for Data Science certification course, created by IBM Skills Network and taught by Azim Hirjani, a Cognitive Data Scientist, and Joseph Santarcangelo, a Ph.D., a Data Scientist at IBM, is offered through Coursera, which is designed for candidates who want to learn about the strategies and procedures related to using Python programming to work with data for data science operations.

Python Project for Data Science online training involves 8 hours of digital lectures accompanied by hands-on projects where students will be assisted in creating a simplistic dashboard in Python. The Python for Data Science, AI, and Development course by IBM is a prerequisite for participation in the Python Project for Data Science online course, which teaches students about topics like data structures, data extraction, data analysis, dashboards, web scraping, and much more. 

The Data Visualization with R online certification, created by IBM Skills Network, is taught by Yiwen Li, a software engineer, Tiffany Zhu, a data scientist, Saishruthi Swaminathan, a data scientist, and developer advocate, and Gabriela de Queiroz, a program director, and it is offered through Coursera, which is intended for learners who want to master the Grammar of Graphics and learn how the ggplot2 data visualization package for R applies to basic bar charts, pie charts, scatter plots, line plots, box plots, and histograms.

Data Visualization with R online classes incorporates 1 week of learning materials that concentrate on teaching the methods for personalizing charts and plots using themes and talking about the methods for using data visualization for Leaflet. With Data Visualization with R online training, learners will be taught about concepts involved with data science, data visualization, and data analysis as well as acquainted with approaches for building interactive dashboards using the R Shiny package.

Data Science Math Skills certification is a 10 hours online course that is divided into 1 weeks and is an offering of Coursera along with Duke University. This course is very useful for those who want to keep on learning the basics of mathematics irrespective of whether they have learnt pre-calculus or algebra. Learning math skills through both androids, and apple devices will create the basis for successful data science.

Data Science Math Skills training forms the introduction for core math skills that data science requires, without any extra complexity, by introducing math symbols, and unfamiliar ideas one at a time. Besides this being a beginner course, this certification can act as a prerequisite for the “Mastering Data Analysis in Excel” course. Anyone who has successfully completed this gets to understand advanced concepts of maths like problem-solving along with certificates that are shareable.

The ‘Clinical Natural Language Processing’ online course is focused on delivering students insights on the strategies and tools involved in the processing of texts and collecting information from clinical data. This data analysis course is part of the clinical data science specialization and is provided by Coursera in association with the University of Colorado. The students of this course can explore the text data in R and can gain knowledge of the practical applications of finding out any diabetic issues from the clinical data. 

The course can be completed within an estimated period of one week in about three weeks and the students can study at their own pace. The instructor for this intermediate-level program is Laura K. Wiley, an Assistant Professor from the Division of Biomedical Informatics and Personalized Medicine at the Anschutz Medical Campus. 

The ‘Clinical Natural Language Processing’ online training program ensures students with an industrially significant course certificate that can be shared online for the development of their career.

Machine learning and artificial intelligence are new technological steps that can be applied in numerous fields to bring innovative breakthroughs. Machine learning and artificial intelligence has also an extraordinary scope and application in the medical and healthcare field. Fundamentals of Machine Learning for Healthcare will help the students to understand the significance of machine learning and artificial intelligence in the medical field and their potential to bring about transformations. 

Fundamentals of Machine Learning for Healthcare Certification Syllabus will introduce the learners to the basic concepts of machine learning and its applications in medicine and healthcare. By taking the course offered by Stanford University, the students will learn healthcare, health policy, pharmaceutical development, data science, and many more. 

Fundamentals of Machine Learning for Healthcare Certification Course, administered by Coursera, is a beginner-level programme that can be taken by the candidates at their own pace. Fundamentals of Machine Learning for Healthcare Certification by Coursera, instructed by Matthew Lungren who is the Associate Professor at the Department of Radiology, and Serena Yeung who is the Assistant Professor at Biomedical Data Science, is the third course in AI in Healthcare Specialization. 

Master Data Management for Beginners online course is a practical approach to achieving the professional growth that learners desire, especially if they are graduate students or working professionals looking to acquire and develop new skills. Master Data Management for Beginners certification course is created by TCS iON, a Tata business unit dedicated to assisting institutions and government organizations from a wide range of industries in being more efficient in their talent acquisition, learning, skill training, and operations.

Master Data Management for Beginners online training aims to teach the foundations of master data management, which assists in the analysis of data from several viewpoints, categorizing it, streamlining data sharing among individuals and departments within an organization, and summarizing the identified links. Learners who wish to participate in the programme must have a basic understanding of database management systems. The course includes comprehensive video lectures as well as self-study material that learners can access at any time. Learners will be issued a certificate of completion upon successful completion of the course to support their understanding of the subject.

The Data Science of Health Informatics is an online programme offered by Johns Hopkins University for beginner-level learners. The online certificate course will give the learners a sheer insight into the data science of health informatics. The Data Science of Health Informatics Certification Syllabus will walk the students through health informatics, data science, data analysis and various kinds of health and healthcare data. 

The Data Science of Health Informatics Certification Course, offered by Coursera, is the fourth course that is entirely provided in the online mode  of the  Health Informatics Specialization. Though The Data Science of Health Informatics Certification by Coursera is provided for beginner-level learners, it is highly recommended to have prior experience or knowledge of  health, statistics, technology and healthcare to fully benefit from the online programme. 

The Statistics for Data Science online course offers essential instruction on fundamental statistical concepts and techniques for effective data analysis. Participants will gain proficiency in data collection, summarization, visualisation, and interpretation utilising Python libraries. In addition, the Statistics for Data Science certification by PWskills covers a wide range of statistical tests and models to derive insights and make predictions from data.

This Statistics for Data Science certification course is thoughtfully designed to cater to beginners seeking to develop their skills in data science and statistical analysis. The course extends over 1 week. Offered through PW Skills, an esteemed online learning platform, the course is just one of the many valuable courses and certifications available across various domains, including data science, machine learning, artificial intelligence, cloud computing, and more.

Also read:

• Statistics Certification Courses
• Data Science With R And Python Certification Courses

The Scientific Approach to Innovation Management programme has specifically laid out systematic processes to make strategic decisions about innovative products or services that will help Innovators, Entrepreneurs, and Managers in the coming times to avoid common pitfalls. The course helps Entrepreneurs to understand if the idea they have in their head is worth it or not, whether they should pursue it or not, if it is able to develop into a fully-functional Practical and Economical Project.

To answer all of it, the programme teaches the students to analyse the feasibility of the seed of an Innovative Idea related to a Start-up or any Entrepreneur or some Project. The course does it all through problem- framing methods, and also uses deep Data Analysis. All of such processes and algorithms are collectively known as ‘Scientific Approach’- the sole motive of this course.

A Unique Selling Point of the programme is that it is structured to be Highly Interactive, including exercises related to real-life scenarios and real-world Applications of each topic. The harsh implications of the project idea are also showcased with the help of a varied range of examples and Case Studies, eventually accounting to a Scientific Approach to Innovation Management.

Deep learning, also known as deep neural learning or deep neural network, is an artificial intelligence functionality that resembles the functioning of the human brain in digesting data and developing correlations used in decision making. Deep Learning and Computer Vision online certification is designed by Board Infinity, an online educational platform for job applicants and learners that will assist them in realizing their full potential to achieve their career goals. 

Deep Learning and Computer Vision online course focuses on providing a hands-on experience of the core concepts and principles associated with deep learning and computer vision. Deep Learning and Computer Vision online classes include a variety of data science topics, including natural language processing and neural networks, such as convolutional and recurrent neural networks. Candidates will have developed competencies in technologies such as OpenCV, Jupyter, Tensorflow, Python, Numpy, and others by the end of this course.

DevOps for Data Science Course is a beginner level programme provided by Board Infinity that will equip the learners with an in-depth understanding of the tools of DevOps used in data science. The programme, made of 4 modules, will render the students with a certificate after the course enabling them to find a better career opportunity.   DevOps for Data Science Online Course will discuss the deep learning model deployment with Docker and Kubernetes, API development, models of deep learning etc.

DevOps for Data Science Programme, offered by Board Infinity, will introduce the students to the aspects of DevOps with the help of live classes, on-demand videos, case studies, assignments, and projects. The students will be provided with unlimited access to the course materials with one-time enrolment.

Python for Data Science Bootcamp certification course is created by Board Infinity, an online educational network aimed at working professionals and participants that would help them grow and thrive by enabling them to function efficiently. The Python for Data Science Bootcamp online course by Board Infinity is for participants who want to learn the fundamentals of Python programming for data science to become certified data scientists.

Python for Data Science Bootcamp online classes is a self-paced training program that includes case studies, assignments, and projects to help participants gain a thorough understanding of technologies such as Anaconda, Numpy, Pandas, Jupyter, Matplotlib, and Seaborn, as well as Python concepts such as arrays, lists, and data frames. Participants will be able to develop their Python scripts to undertake basic data analysis in a Jupyter-based simulated environment by the end of this training program.

R programming is an extensively employed data science language of programming that is heavily used in the business, making this one of the most important skills to acquire in the data science industry. R Programming Course for Data Science online certification is designed by Board Infinity, an online learning environment for professionals that would help them achieve their professional goals by assisting them in achieving excellence.

R Programming Course for Data Science online classes features video-based learning material along with assignments and projects to assist candidates to acquire a hands-on comprehension of the tools and concepts like data analysis, time series analysis, text analysis, string manipulation, natural language processing, R studio, statistics, and more. By the end of the R Programming Course for Data Science online training, candidates will have developed their knowledge to develop programs in R programming and perform basic data analysis tasks.

Power BI Online Course certification is designed by Board Infinity, an online educational environment for professional workers that will assist them in reaching excellence to accomplish their professional objectives. The Power BI Online Course classes by Board Infinity are designed for applicants who wish to learn more about the fundamentals and advanced principles of Microsoft Power BI, as well as the methodologies for visual data analysis.

Power BI Online Course syllabus begins with the most fundamental notions, therefore no prior understanding of visualization is required. This course covers bar charts, pie charts, line charts, and table charts, as well as other types of visualizations that are important in data science operations. Applicants will have established essential competencies in Power BI for executing and sustaining a variety of business intelligence activities at the end of this program.

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 data visualization and analytics online course is offered by the online education provider platform and leading data science institute Analytixlab which provides the students with dual certification in association with the International Business Machines Corporation. The course is scheduled for the students to improve their skills in data science and will take one hundred and twenty hours to complete the program.

The course curriculum consists of twelve classes that focus on building dashboards, VBA macros, and SQL along with the case studies and six assignments and projects that provide a practical learning experience. The students use the Advanced Excel skills learned in the course to understand the data visualization and help them show the analysis using the tool Tableau. The live online classes and projects provide the students with insights for skill development. 

The data visualization and analytics training is facilitated by a demo session organized for the students to get a clear picture of the course.