List of Online Courses and Certifications

Supply Chain Comprehensive Exam online certification is developed by Chris Caplice - Director, MITx MicroMasters Program in Supply Chain Management, and Eva Ponce - Executive Director, MITx MicroMasters Program in Supply Chain Management at MIT, which is delivered by the edX organization for individuals who want to enhance their knowledge and expertise as supply chain professionals by understanding the advanced concepts from the supply chain MicroMasters series.

Supply Chain Comprehensive Exam online course comprises five in-depth online modules, SC0x, SC1x, SC2x, SC3x, and SC4x, which together with the extensive qualifying examination cover all areas of logistics and SCM. A total of 20 hours of virtual instructor-led lectures will be made available to individuals in the Supply Chain Comprehensive Exam online classes to assist them in mastering both the fundamental and more complex SCM topics. In addition, two proctored certificate exams with quantitative and qualitative questions are part of the premium version of this course. Participants will get the option to enroll either in the free audit track that offers limited access or they can choose to upgrade to the paid version that is known as the verified track.

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 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 Visualisation with Python: Bokeh and Advanced Layouts course is a part of the data visualisation with python which is offered by the FutureLearn portal in collaboration with Coventry University, U.K. In this course, learners will understand different phases of data exploration, data analysis and learn about the plot layouts, interactions and annotations using python on bokeh. This course will be delivered in online mode. 

The course will be conducted by Ed Marks using English as a medium of instruction. The duration of the course will be four weeks wherein candidates will have to invest at least four hours per week to complete the course modules on time. To apply for this course, candidates are advised to check the provider’s official website and register for the Data Visualisation with Python: Bokeh and Advanced Layouts online course. For details related to this course, please check the article below.

The Data Visualisation with Python: Matplotlib and Visual Analysis course is one of the segments of the data visualisation with python course. The course is offered by the FutureLearn portal in collaboration with Coventry University, UK in online mode. Learners will learn about the use of python for business analysis, different types of data visualisation along with creating plots in python using matplotlib and time-series information.

The Data Visualisation with Python: Matplotlib and Visual Analysis training programme will be instructed by Ed Marks and Alastair Gill. The course will be a four weeks programme, where investing four hours per week will help to complete the course modules on time. A 7 days free trial will be offered by the provider after which a monthly subscription of $39 has to be taken to access the course completely.  For details related to the Data Visualisation with Python: Matplotlib and Visual Analysis course, please check the article below.

The Data Visualisation With Python: Seaborn and Scatter Plots online course is offered by the FutureLearn portal in collaboration with Coventry University, U.K. It is one of the parts of the Data Visualisation With Python programme offered which is available on the portal. Through this course, learners will learn the use of seaborn in python, understand the uncertainty in data and visualisation workflow. Also, candidates will learn the use of different tools in data visualisation.

The Data Visualisation With Python: Seaborn and Scatter Plots training is for four weeks duration in online mode. This course will be instructed by Ed Marks with English as a medium of instruction, in which candidates will have to give inputs of four hours weekly to complete the Data Visualisation With Python: Seaborn and Scatter Plots certification syllabus. To apply for this course, students will have to visit the provider’s official website and enroll on it. For details regarding the course, admission process, fee structure, etc, please go through the article below.

The Data Visualisation: Creating charts and complex visualisations in Tableau training is a part of the data visualisation training programme offered by the FutureLearn portal in collaboration with Tableau and Coventry University, U.K. In this course, learners will learn to interpret data and create dashboards through beautiful visualisations. Candidates will learn to review data visualisation layouts for their organisation and prepare strategies to create data dashboards for the organisation.

The Data Visualisation: Creating charts and complex visualisations in Tableau online course will be taught by Alastair Gill using English as a medium of communication in online mode. This is a self-paced learning course and the Data Visualisation: Creating charts and complex visualisations in the Tableau certification syllabus is divided into four weeks, in which candidates will learn to use the fundamentals of data visualisation to create dashboards in an organised manner. To apply for this course, candidates must visit the official website of FutureLearn and register.

Data visualization is an excellent tool for predictive modelling and bringing predictive methods to life inside the company. The Data Visualisation: Data Dashboards and Storytelling with Tableau online course teaches to use data to create business forecasts while also dealing with the ethical problems that might arise.

As the necessity for strong visualisation and data analytics abilities develops, these talents will offer up new job prospects for data professionals and across a variety of sectors. The Data Visualisation: Data Dashboards and Storytelling with Tableau training by FutureLearn teaches about statistical approaches and the necessity of testing and improving data analysis frameworks.

Understanding the fundamental physics of the prediction models is necessary for fine-tuning and testing them. Data Visualisation: Data Dashboards and Storytelling with Tableau syllabus covers various concepts and theories that drive data analytics and teaches how to assess the efficacy of each model. Having a solid understanding of these ideas will allow candidates to go deeper into their big data and identify models that best suit their company, consumers, and the current markets.

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 Big Data Analytics using Hadoop certification training is an industry-oriented offered by NIELIT, Chandigarh. The course strives to deliver top-notch education with all-inclusive information about the domain of big data and its usage with the Hadoop ecosystem. Instructors will conduct live classes using presentations, live demonstrations, online interactions, and free cloud-based collaborative platforms.

The four-week Big Data Analytics using Hadoop online course introduces the Hadoop ecosystem’s concepts, PIG in the apache ecosystem, and how to use big data with them. Candidates will get familiar with big data-related technologies and their impact on cultural and technological industry-related changes across several industries. Some of the other topics covered under this course are YARN, big data integration, Apache HIVE, ETL tool, and Java + JDBC (HIVE) followed by a project.

The Big Data Analytics using Hadoop program is appropriate for the candidates who hold an undergraduate degree in any stream with substantial knowledge about any one of the programming languages. Upon successful completion of the course, candidates will also be rewarded with a certificate of participation. For further details, candidates can contact the faculty in-charge, Meenu Dhir and Sachin Chandla.

The domain of Power BI falls under the Microsoft Tools that helps in visualizing and analyzing the data by the professionals. The Analyzing and Visualizing Data with Power BI course thus will be dealing with the Power BI tool and will help the participants in preparing data and dashboards along with reports. 

The course will be helpful if the applicant is- financial analyst, marketing analyst, beginner academic, data analyst or a researcher. Thus, the programme will be offering a wide plethora of options to work upon and develop. In the Analyzing and Visualizing Data with Power BI  training, the students will also get the opportunity to publish their own report. The four week programme will be helping the professionals in bringing their data to life and portray more meaningful stories. The Analyzing and Visualizing Data with Power BI online course will be gilded by the instructors and help students learn about the various types and methods of data visualization and report writing with data. 

There are two pathways in which enrolling in this course of edX is possible. One is the verified track, and the other is the audit mode. During the audit mode, the candidates shall have limited time access to the course, but access becomes unlimited during the verified track.

The Analyze Data to Answer Questions certification course is about data analysis that aims to impart education regarding the same through various modules. The course is designed as a beginner's level course to provide fundamental and advanced level information. Students who join this course will gain information regarding the organization of data, adjustment of data, aggregation of data, etc. 

The course is available on the platform Coursera in the online mode. The course can also be joined and accessed for free as it offers learnings in the audit mode. The Analyze Data to Answer Questions certification syllabus can be completed in approximately 32 hours. 

The course offers a self-paced mode of learning that allows the user to choose their desired study schedule as per their comfort. The course does not have any prerequisites for admission. The Analyze Data to Answer Questions online course also offers a subscription if students pay the stipulated amount that makes them eligible to get the certificate.

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 Data Analysis and Fundamental Statistics Online course is an integral part of the Data Analytics For Business Training Programme conducted by the FutureLearn portal in partnership with Tableau and supported by Coventry University, U.K. With the help of this course, learners will understand the functions of data analysis and the use of statistical models to grow the business of the organisation. Also, candidates will learn about the benefits of data analytics and how to use Microsoft Excel as a data analysis tool.  

The Data Analysis and Fundamental Statistics Certification syllabus is divided into four weeks in which learners will learn about the basics of data analytics fundamentals and the use of basic statistics. This course will be instructed in English by Jacques Haasbroek, who is a certified data analyst and holder of a chartered global management accountant designation. For admission to the Data Analysis and Fundamental Statistics course, candidates must visit the provider’s official website and register for the course. To get all details related to the course, candidates must go through the article below.

The Excel for Data Analysis certification course is the second installment of the Data Analytics For Business training programme provided by the FutureLearn portal supported by Tableau and Coventry University, U.K. The course will help learners to perform data analysis using Microsoft Excel and manage big data. Candidates will learn to structure data with the help of rows, columns and tables in Microsoft Excel.  This course will help learners to gather knowledge of Excel and use it to organise data of the organisation.

The Excel for Data Analysis online course will be instructed by Jacques Haasbroek with English as a medium of instruction. The duration of the course is four weeks for which candidates will invest at least four hours weekly to complete the Excel for Data Analysis course syllabus on time. To apply for this course, candidates will have to visit the FutureLearn portal and register. Details regarding this course are given below in the article. Candidates are advised to go through the article carefully.

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.

Python Programming Certification Course is an opportunity for the learners to master Python programming concepts. This course is being offered by Edureka. Edureka is an online learning platform, that provides the students with an opportunity to complete their courses by way of live online courses. 

This course has been built by top industry experts, especially for keen learners who wish to master the Python programming language. They will be given a detailed understanding of the fundamentals of this programming language. This course is a blend of basic and advanced concepts of Python programming language. It covers concepts such as writing Python scripts, web scraping, sequence and file operations, and object-oriented concepts. 

After the Python Programming Certification Course  training participants will learn about many vital and widely used Python libraries such as NumPy, pandas, and Matplotlib, among others. They will be trained in Data Operations, testing codes, downloading programmatically, analyzing data, and implementing the techniques in order to deal with different types of data – categorical, encoding, ordinal, creating data visualization, using Python notebooks, and the technique of presenting data analysis step-by-step.

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 course has been structurally and fundamentally designed to provide the students with a detailed analysis of the chapters that involve the notations used in machine learning and Artificial Intelligence.  The online Essential Mathematics for Data Science and Machine Learning: Using R course will focus on the domain of mathematical concepts pertaining to machine learning. Over the time period of four weeks, the entire Essential Mathematics for Data Science and Machine Learning: Using R certification syllabus will be covered in detail. The students will be provided with assessments so that they can check their progress. Upon completing the programme, the students have their concepts cleared on - Statistics, probability, vectors, linear algebra, and others.

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 SQL for Data Analysis online course is four weeks of training conducted by the FutureLearn portal and coordinated by Tableau and Coventry University, U.K. The course will help in developing and applying data analytics skills in a professional career. Through this course, candidates will learn how to use SQL in modifying and grouping data in the database. Also, learners will learn the difference between correlation and causation and reach a proper conclusion for your data. 

The SQL for Data Analysis certification will be directed by Jacques Haasbroek, a certified data analyst and a chartered global management accountant. Candidates who are interested in taking admission must visit the provider’s official website and register for the SQL for Data Analysis training. To get all the details related to this course such as the admission process, fee structure, etc, please go through the article below.

Designed after careful industry analysis, the Online Certification Course in Advance Data Analytics and Machine Learning using R by NIELIT progresses from the basics of R to advanced studies of data analytics. It includes 40 hours of learning in four weeks of weekday classes from 1:30 PM to 3:30 PM.

The course curriculum aims at training candidates in the field to meet the demands of the technologically-driven industry. Touching upon computational statistics applications and usages, it solves real-world data science problems. For the Online Certificate Programme in Advance Data Analytics and Machine Learning using R by NIELIT, candidates need to access a system of 8GM RAM with a broadband connection. A basic understanding of the Linux command line will be beneficial. 

The course also provides a combination of practice and knowledge in Data Science and its applications. Mr Sanjaav Kumar Jha instructs NIELIT’s Advance Data Analytics and Machine Learning using the R training programme. Upon satisfactory course completion, students will also earn their certificates. 

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 course titled Data and Health Indicators in Public Health Practice is part of the Epidemiology in Public Health Practice Specialisation offered by John Hopkins University. The specialisation is a 5-part course curated by experts from the public health faculty. The specialisation course also focuses on various aspects of public health. It aims to make the learner familiar with core epidemiological tools for measuring population health, assessing interventions, analysing data, and investigating outbreaks.

The Data and Health Indicators in Public Health Practice certification by Coursera explores the importance of professional epidemiology in public health practice. It gives thorough information on the methodology and public health data systems associated with epidemiology through a 6-hour-long course. The course includes video lessons, readings, and quizzes.

The Advanced Certification Program in Data Analytics course offered by Edubridge is a  110% money-back job-guaranteed program that helps the aspirants to grow and develop in the competitive IT industry with the required technical and professional skills and transform into data analytics professionals.

The Advanced Certification Program in Data Analytics by  Edubridge offers in-depth theory and practical information that has been developed by highly qualified experts across the data science spectrum.

The Advanced Certification Program in Data Analytics training ensures to help learners enhance their comprehension of the industry and the business through guest lectures, and industry immersion events, along with industry-based capstone projects where one can cooperate, learn, and create real-time case studies with cutting-edge technologies.