List of Online Courses and Certifications

In Non-Parametric Statistical Inference, as opposed to Parametric Statistical Inference, we do not know the underlying distribution. Parametric Inference also uses samples from the population to estimate the distribution parameters. However, the assumptions of Parametric Inference, such as normality, independence, and homoscedasticity may not always be accurate. 

In this case, non-parametric information is used. The Course in Non-Parametric Statistical Inference by Swayam will help the candidates to fill in the gaps of parametric statistics as non-parametric methods can be used for different inferencing purposes. The simple non-parametric techniques can help you to establish a hypothesis.  

The Non-Parametric Statistical Inference online programme has several practical applications in real life. This is an ongoing, undergraduate-level course that spans four weeks. The course will be taught by a faculty member from the esteemed Mathematics Department of IIT, Delhi. Moreover, this course is entirely free of cost, and the paid certificate is optional. 

We live in a world driven by data, and through the Introduction to R for Data Science course, you can learn how to make the most of it using the R platform. This programme will take you through the various essential concepts of R, starting from how to download, install, and run the platform on your machine. 

During the Introduction to R for Data Science online course, you will work with airline data and learn how to manage data using R. This is an introductory programme in R and data science, created for beginners who want to pursue this field and gain the foundational knowledge. Purdue University, USA, has developed this Course which is entirely free of cost on Future Learn.

If you want to study more advanced concepts and theorems of data science and R, then the Introduction to R for Data Science programme by Future Learn will be the perfect beginner course for you. Moreover, you can avail of this module for free or choose to pay for upgraded services and enjoy enhanced benefits by Future Learn. 

The Introduction to Process Mining with ProM course is being imparted by FutureLearn to provide the learners an understanding of process mining. This course has been developed by Eindhoven University of Technology, it is a design-oriented and research-driven university of technology. Process mining integrates business process management along with data science.

Taking the Introduction to Process Mining with ProM classes will teach the participants how to use a free, open source process mining framework to visualize, analyze, and improve processes based on data. 

Participants will be able to visualize and analyze business operations based on the recorded event data of their logs.  By pursuing the online Introduction to Process Mining with ProM certification programme will develop a critical and a process-centric perspective towards data, which is not possible in case of machine learning techniques or classical data mining. The Introduction to Process Mining with ProM syllabus has been designed in a manner that will develop proficiency in various process mining techniques such as social network analysis, conformance checking and performance analysis. Learners will be equipped to analyze the usage of public transportation by people, substantiate whether the bank loan application process is executed correctly, assess the learning behavior of students in a MOOC for course contents improvement and to predict when hardware parts are likely to break down.

The Robotics Process Automation course by the National Institute of Electronics and Information Technology imparts intelligence to the participants in various concepts like RPA, OCR, error handling, programming, debugging, SAP, UiPath, state machine layout, reframe work, triggering events and types of bots.

This course provides knowledge to the candidate on various concepts in automation and robotics. By undergoing the Robot process automation course, the candidate will understand various dropping and dragging techniques. This program also helps the candidate to improve their knowledge of UiPath software. The course covers basic concepts like flowchart, sequence and workflow. This course provides hands-on practical sessions. It helps the candidate to gain practical knowledge.

The certificate offered by the National Institute of Electronics and Information Technology adds more value to the course. The program follows the bilingual mode of instruction. By pursuing this course, the candidate will understand in-depth concepts in robotics that would help them to excel in robotics and automation-related jobs.

As the user interacts with organizations has been growing at a rapid rate, the demand for new talents in the sector of data analysis has been growing because of the huge mountains of data being dumped on the company servers. As a result of this, the need for skilled professionals in the Python field too has risen in consequence since it happens to be the most used programming language for application development and has user-friendly data structures.

Python Programming and Data Science bring to the candidates the chance of mastering both these sectors through one course. The specialization program has been designed as such that it covers every necessary tool required in these two domains.

The program has been made 4-weeks long and effectively teaches the applicants all important concepts like Python modules, data-frames, analysis tools with perfect details. The is specially customized to take care of all the doubts the candidates might face and it successfully by introducing both English and Hindi as a medium of instructions.

This Compilation Basics for Macroeconomic Statistics certification course is one of the most important courses that reviews all the basics like concepts, skills, and principles that are required during the compilation and dissemination of financial and macroeconomic statistics. The Compilation Basics for Macroeconomic Statistics program is created in a way to cover various topics pertaining to macroeconomic statistics and data handling like institutional units, residence, stocks, and flows, Data standard initiative of IMF, accounting rules, and the macroeconomic linkages among these statistics. 

The Compilation Basics for Macroeconomic Statistics certification course introduces one of the uses of statistics in financial data dissemination. This training is structured in a way to teaches the practical uses.  It encourages learners to take this Compilation Basics for Macroeconomic Statistics online and practice and learn for the course progress by not just watching the video. but constantly solving the assignments and exercises in the program duration.  The course can be taken by the students in the verified track by paying the fee and in the audit track without fee. In the free audit mode, the learners will have access to the programme for a limited period. 

The Wiley Certified - Python Programmer certification course is created to explore the working of packages, installing and operating Integrated development environment, type conversion, Performing operations on variables, The course consists of various extensive hands-on work, assignments, and live training.

The Wiley Certified - Python Programmer certification By WileyNXT offers every possible knowledge of basic programming language as python is a popular general-purpose programming language used by both small and large-scale Applications. Due to its large standard of libraries such as Pandas, Numpy, Matplotlib, Python is adopted by a huge number of large-scale applications. 

The Wiley Certified - Python Programmer online course encourages students to learn about various libraries of python which have easy readability & multiple paradigm support including functional, procedural, and object-oriented programming styles, the libraries consist of various types of built-in modules which help in different types of data input and output operations with a wide range of functionalities in the modules available in python libraries.

The Data Wrangling and Ingestion using Python Online Course is offered by the FutureLearn portal in collaboration with Github and endorsed by Coventry University, U.K. This training course is the third installment of the Data Analytics Using Python programme available at the portal. During this course, learners will gather knowledge about Python functions and how to use python in the data analysis process. Along with this, candidates will explore the use of SQL in data analysis and gain insight into the fundamentals of databases using SQL. 

The Data Analytics Using Python: Data Wrangling and Ingestion syllabus is divided into four weeks in which candidates will get deep knowledge about Python and its use in managing the different databases of the organisation. This course will be instructed by Ed Marks with Engl

ish as a medium of instruction. 

To apply for the Data Wrangling and Ingestion using Python Training Course, candidates must visit the provider’s official website and register.  For other details regarding the course such as admission process, fee structure, etc. Candidates are advised to go through the entire article given below.

The Python Packages: NumPy and Pandas Dataframe Training Course is the second edition of the Data Analytics Using Python training programme that is offered by the FutureLearn portal in association with Github and endorsed by Coventry University, U.K.  In this course, learners will learn how to apply the fundamentals of Python programming in a project. Also, candidates will gain knowledge about data ingestion and how it is done by using python. Through this course, candidates will develop knowledge for data analysis and use python programming language more effectively.

The Python Packages: NumPy and Pandas Dataframe Certification Syllabus is divided into four weeks where candidates will develop their analytics skills using python and explore data ingestion with CRISP-DM methodology. The course will be instructed in English by Ed Marks. The Python Packages: NumPy and Pandas Dataframe Online Course will be conducted in online mode through various interactive sessions, doubt sessions, etc. Candidates who are interested in taking admission to this course must visit the FutureLearn official website and register. To get all details related to the Python Packages: NumPy and Pandas Dataframe Course, candidates must go through the article given below.

The Data Analytics and Python Fundamentals Certification Course is offered by the FutureLearn portal in collaboration with Github and endorsed by Coventry University, U.K. Through this course, learners will learn the fundamentals of statistics and its application in data analytics. Also, candidates will learn to use Python in data wrangling, ingestion, and use of advanced data analysis tools and techniques such as data mining and machine learning.

The Data Analytics and Python Fundamentals Online course is a part of the Data Analytics Using Python programme. The course will be taught by Ed Marks with English as a medium of instruction. The course syllabus is divided into four weeks which will focus on the key aspects of data analysis and the use of python. Candidates who are willing to take admission to the Data Analytics and Python Fundamentals Training Course must visit the FutureLearn portal and register. All details related to this course are given below in the article. Candidates are advised to go through the article carefully.

The Introduction to Data for Business Leaders online course is offered by the online educational platform FutureLearn and is developed by ‘The DataLab’ which is a centre for innovation in data and AI. The online training is scheduled for four weeks with three study hours every week.

This online certification course equips the learners with the understanding of data and values derived through data in organisations that cause improved business outcomes. The ‘Introduction to Data for Business Leaders’ programme is about recognising and categorizing data and changes within an organisation. Here the candidates are taught to describe the organisation’s data maturity aided with strategies to find ways to improve its standards to strengthen business management. It assists in understanding and calculating the investments needed from within the organisational setup to drive the business and value systems forward.

The ‘Introduction to Data for Business Leaders’ online certification course can be done at the learner's convenience using the advanced course materials. The candidates will gain knowledge as they discuss ideas with their peers and learn along with Craig Paterson who is the strategic advisor and coach.

The Distributed Computing with Spark SQL certification course is a 14 hours course. This course is available on the educational course platform Coursera, and the syllabus is curated by the University of California. Also, this course is part of the main programme, Learn SQL Basics for Data Science Specialization. 

This Distributed Computing with Spark SQL training course is made for candidates with some ideas, and information about SQL. This Coursera programme will be great for students who want to step ahead in their data journey. All 4 modules developed for this course are intertwined among themselves. In the end, when all 4 modules are learnt, the candidates will have learned many ways related to Spark SQL, and ways to construct reliable data points.

Front-End Web UI Frameworks and Tools: Bootstrap 4 is an online certification programme, available on Coursera, developed and offered by the Hong Kong University of Science and Technology (HKUST) that aims at imparting the education of science and technology to the learners of Asia and the whole world.  Front-End Web UI Frameworks and Tools: The bootstrap 4 Certification Syllabus will train the students on client-side web UI frameworks with a particular focus on Bootstrap 4. 

By joining the Front-End Web UI Frameworks and Tools: Bootstrap 4 Certification, provided by Coursera,  the learners will be introduced to JavaScript, Bootstrap CSS, responsive design, grids, CSS preprocessors, Less, Sass, and many more. Front-End Web UI Frameworks and Tools: Bootstrap 4 Certification by Coursera will discuss the concepts of Node.js, NPM, Grunt, and Gulp. 

Graph Search, Shortest Paths, and Data Structures is an online certification course offered by Stanford University intended for the pool of intermediate-level students. The course will expose the candidates to the data structures, graph primitives, graph searches, and their applications. Graph Search, Shortest Paths, and Data Structures Certification Syllabus, developed by Tim Roughgarden, the Professor of Computer Science, will shed light on the heaps, hash tables, balanced search trees, and bloom filters, and the like. 

The Graph Search, Shortest Paths, and Data Structures Certification Course, administered by  Coursera, will also provide the students with a sheer insight into breadth-first and depth-first search, shortest paths, connectivity, and their applications. Graph Search, Shortest Paths, and Data Structures Certification by Coursera, the second course in four programmes of the Algorithms Specialization is a flexibly designed course that can be pursued by students as per their own schedule. 

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them is an online programme designed for intermediate-level students. The online course administered by Stanford University will give the students a deep dive into the shortest paths and related aspects. Shortest Paths Revisited, NP-Complete Problems and What To Do About Them Certification Syllabus, prepared by Tim Roughgarden, the Professor of Computer Science, will walk the candidates through various topics of algorithms such asBellman-Ford, Floyd-Warshall, Johnson, etc. 

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them Certification Course, administered by Coursera, is a flexibly developed course and the students can set their deadlines as per their comfort. The students will also be given subtitles in multiple languages. Shortest Paths Revisited, NP-Complete Problems and What To Do About Them Certification by Coursera is the fourth and the last course in the Algorithms Specialization. 

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 12 hours 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.

The term relational database refers to a particular kind of database that stores and makes available connected data items. On the relational model, an easy-to-understand method of representing data in tables, relational databases are built. Introduction to Relational Databases (RDBMS) certification course is taught by Sandip Saha Joy - Data Scientist, Rav Ahuja - Global Program Director, Lin Joyner - Senior Instructional Designer & Content Developer, and is developed by IBM Skills Network and Rose Malcolm - Senior Instructional Designer & Content Developer, which is delivered by Coursera.

Introduction to Relational Databases (RDBMS) online course focus on assisting individuals in recognising the many database types that are suitable for the particular sorts of data they are working with and the processing requirements as well as providing individuals with a good understanding of how information is stored, analyzed, and retrieved. Introduction to Relational Databases (RDBMS) online classes incorporate 15 hours of hands-on practical learning materials to help individuals in learning the methodologies for building relational data models and the approaches to use them with their data.

The Data Science certification course duration is 11 hours (approximately). This programme is a beginner-level course and candidates can learn at their own pace with flexibility. The course focuses on providing the fundamentals of data science and its significance in today's data-driven world. Students will gain advice from data science professionals and data scientists.

The certification programme equips the students with Data Science, Big Data, Machine Learning, Deep Learning and Data Mining skills. The Data Science certification by Coursera a foundational understanding of the subject or tool. They will also learn new concepts and gain hands-on projects. The course is taught in English but is also available in 22 other languages.

Also Read: Online Data Science And Machine Learning Courses & Certifications

The duration of the Data Science Methodology certification course is 6 hours (approximately). The certification programme supports the students to gain a comprehensive knowledge of data science methodology and all other aspects related to it. This course is designed for beginners, allowing students to progress at their own speed and with ease.

The students will gain in-depth knowledge of applying the six stages in the Cross-Industry Process for Data Mining (CRISP-DM) methodology to analyse a case study. The Data Science Methodology certification by Coursera provides Data Science, Data Analysis, CRISP-DM, Methodology, Data Mining skills to the students. They will be able to apply the learned fundamentals in real-world scenarios.

Also Read: Online Data Science With Artificial Intelligence Courses & Certifications

The Capstone Exam in Statistics and Data Science online course culminating in an assessment allows learners to solidify and demonstrate their knowledge in probability, data analysis, statistics, and machine learning. This exam serves as the final requirement of the MITx MicroMasters Programme in Statistics and Data Science. The Capstone Exam in Statistics and Data Science certification by Edx follows an instructor-paced, instructor-led format and enrollment can be done either by selecting the audit mode which is free of cost but gives only limited access whereas the verified track offers unlimited but paid access.

In this course, learners will have the opportunity to gain the skills needed from leading universities in India. The capstone exam is a virtual proctored exam and is the last part of the MicroMasters Programme in Statistics and Data Science. By completing the Capstone Exam in Statistics and Data Science certification course learners can earn their MicroMasters credential, demonstrating their proficiency in data science. This credential can also help learners accelerate their path towards an MIT PhD or a Master's degree at other universities.

The Data Informed Decision Making Certification Course is a 4-week program. The Institute of Product Leadership is in charge of awarding the certification for this course and teaching the syllabus.

Data Informed Decision Making certification training enables learners to establish their credentials as professionals in the field of data science with decision-making skills in addition to receiving early appreciation from their peers.

Data Informed Decision Making Certification by the Institute of Product Leadership, Bangalore helps boost career profiles and improve professional equity.

The Microsoft Power BI Training course is an introductory course in Power BI Desktop and how to use it with Power Pivot for Data Modelling. The course will introduce you to Power BI Q&A, as well as Data Visualisation and Data Analysis Expressions (DAX), with Power BI Desktop to explore, discover and visualise enterprise data with the employment of Natural Language.

The Microsoft Power BI Training Programme also covers topics such as Business Intelligence, Flow of Power BI, Matrixes and Tables, Power BI Q&A, Row-level Security, and many more. Upon completion of the training, you will become proficient in concepts like Data integration and visualization, exploring Power BI Q&A, using content packs, data gateways, and Power BI Report Server.  

Moreover, as a part of the course, you will receive 27 hours of live online instructor-led classes and 3 hours long 9 sessions of weekend classes. Furthermore, you will have lifetime access to all the online resources, 24x7 expert support. Upon completion of the course, you receive a "Business Analyst using Power BI" certification from Edureka.

The course 3D Data Visualization for Science Communication gives an introduction to 3D data visualisation and emphasises on cinematic design and science communication for attracting a wide range of audience. The candidates will build visualisation literacy, they will be able to write and create their own visualisations. The course is provided by The University of Illinois at Urbana-Champaign which is a top university when it comes to teaching, public engagement and research.

The course will cover a wide range of topics under 3D Data Visualization for Science Communication which includes an introduction to scientific visualisation, critiquing visualisation, computer graphics, visualising pipeline, 3D geometry, computational resources, programming, data representation, virtual coordinates, transformations and attributes, data artefacts, pre visualisation, camera design, image artefacts, to name a few.

This course will be purely taught online using lecture videos, quizzes, discussion forum and reference reading materials. The candidates will be expected to clear all the quizzes and tests included in the course to be eligible for being certified in the course if on the event of purchasing the certification.

The Advanced Linear Models for Data Science 1: Least Squares course helps you develop a strong foundation of linear and regression modelling. Johns Hopkins University offers the programme, and your instructors will be subject-matter experts. It is the third part of the Advanced Statistics Specialisation by Coursera.  

Moreover, the course completion certificate that you will receive is shareable, after finishing the Advanced Linear Models for Data Science 1: Least Squares programme by Coursera. It will allow you to establish your relevant expertise in the field. Learn and develop fluency in the basics related to least squares and regression modelling, at your own pace.

In addition, the Advanced Linear Models for Data Science 1: Least Squares course features immersive content, developed around a self-paced model to align perfectly with your schedule. The training also provides adjustable deadlines. Furthermore, the online course allows you to quickly and efficiently start studying. You have to devote nearly 8 hours of learning time to the programme.

Establishing Data Infrastructure is the second course in the Data Product Manager Nanodegree programme by Udacity. The study extensively covers the use and application of data science techniques in creating effective product strategies. The course will familiarise you with foundational skills required to be a data product manager, including data analysis, iterative design, and data visualisation.

Udacity Establishing Data Infrastructure course curriculum includes data consumers, data producers, data strategies, data pipelines and its components. You will learn to use SQL in extracting data, employ Tableau for visualising market insights, and to identify innovative product opportunities. The course will help you gain expertise in combining product goals and data analysis to create rich data-backed product proposals.

Furthermore, Establishing Data Infrastructure also features several relevant case studies, real-world projects, project reviews, student community, workspaces, quizzes, and technical mentor support for an enhanced learning experience. Udacity provides Establishing Data Infrastructure training in a self-paced online module for flexible learning. By signing up for the course, you get to learn with industry leaders and learn industry best practises to bolster your learning outcomes.

The Library of Integrative Network-based Cellular Signatures (LINCS) is an NIH Common Fund programme. The aim is to perturb various types of human cells with different types of perturbations, genetic manipulations, and more. The Big Data Science with the BD2K-LINCS Data Coordination and Integration Center provides you with extensive knowledge of the functionality of LINCS and its practical application. 

The Big Data Science with the BD2K-LINCS Data Coordination and Integration Center online course aims to familiarise students with molecular networks which are affected by these disturbances. The curriculum includes different variables of measurement, like mRNAs, proteins, metabolites, and cellular phenotypic changes. The BD2K-LINCS Data Coordination and Integration Center (DCIC) provides this data along with other publicly available relevant resources. 

The Big Data Science with the BD2K-LINCS Data Coordination and Integration Center online programme also includes computational methods such as gene-set enrichment analysis, data clustering, interactive supervised learning, and data visualization. Candidates can also work on crowdsourcing or citizen-science projects in this 100% online training.

Coursera provides online courses designed by instructors from companies and universities. These courses give access to on-demand video lectures, quizzes, community forums, projects and homework exercises to amplify the learning experience of the participants.

Advanced SAS programming techniques course by Coursera has been designed for learners who wish to develop or improve their data analytics skills. The course aims to provide the participants with a deep dive into SAS programming. SAS enables the user to analyze, transform and derive value from the given data. It will train the participants in SAS programming using SAS 9, using the SAS macro facility to write, design, debug dynamic macro programmes, rotate data, process repetitive code, and perform table lookups using arrays and using PRX functions for pattern matching. Participants will learn the use of additional functions such as LAG, FINDC for data analysis and manipulation.

After the completion of the course, the participants will have developed a detailed perspective on SAS programming and the skills to use advanced DATA step techniques and procedures for manipulating the data. This course will prepare the participants for the SAS Advanced Programming Professional certification exam.

The Machine Learning Rapid Prototyping with IBM Watson Studio certification course will be allowing the students to work in the emerging technologies of AI. The syllabus is included in the online course Machine Learning Rapid Prototyping with IBM Watson Studio by Coursera. The online programme is  100% online programme and the course is having a duration of eight hours. The Machine Learning Rapid Prototyping with IBM Watson Studio certification syllabus includes the chapters of- Classification Prep Demo, Regression Prep Demo, Multi-armed Bandit Approach, Demo Classification: Making Changes to the Models, Automated Data Preparation, DAUB Algorithm, The model selection problem and others.

By taking up the Specialized Models: Time Series and Survival Analysis online course the students will be working on the ways to identify the modelling challenges that are common within the domain of time series data. The course will further be helping to understand the process of how trends are gauged and accessed in a time series of data. In the Specialized Models: Time Series and Survival Analysis certification syllabus the students will be covering chapters on- Identifying Nonstationarity, Common Transformations, Smoothing Moving Averages, Time Series Smoothing, Deep Learning Notebook, Survival Analysis and Censoring and others. The online course on Specialized Models: Time Series and Survival Analysis by Coursera will be elaborating on the domains of “time-series data” and will be working on its applications.

Part six in the series of programs on the same domain the online course on AI Workflow: AI in Production by Coursera can be persuaded by students who have an earlier and strong understanding of - NumPy, IBM Watson studio, Python, Pandas, Linear Algebra, and Descriptive and inferential statistical concepts. 

The online course focuses on the models of productions that are aimed at streaming media companies. The course will be introducing the students to the core concepts of IBM Watson Learning. The online program over the period of 17 hours covers the topics of - data analysis, visual recognition, machine learning, and hypothesis testing,  bias detection, NLP and others. The AI Workflow: AI in Production certification syllabus will be covered by professionals.