List of Online Courses and Certifications

Healthcare Data Security, Privacy, and Compliance is developed and offered by Coursera with the aim of providing the learners with a detailed understanding of data security and privacy in the healthcare industry. Healthcare Data Security, Privacy, and Compliance Certification Course is the beginner-level online course in the Healthcare IT Support Specialization offered by Johns Hopkins University. 

Healthcare Data Security, Privacy, and Compliance Certification Syllabus will discuss the different types of healthcare data, various kinds of data sources and data elements used in the healthcare industry and many more. Offered by Coursera, Healthcare Data Security, Privacy, and Compliance Certification by Coursera can be completed within the minimum duration of five hours in the online mode. 

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 Accounting Data Analytics with Python Programme by Coursera has been developed for the candidates who are looking to build proficiency in the Python language, especially for business intelligence and analytics. Provided in partnership with the University of Illinois, the programme aims to utilize Python’s robust computational capabilities and libraries. It focuses heavily on working with multiple domains of accounting data, be it EDGAR financial statement data, stock data, or point-of-sale data.  

The Coursera Accounting Data Analytics with Python Training covers fundamental Python programming skills like functions, conditional statements, loops, and mathematical operators. Moreover, since the course is a part of UIUC’s Master of Business Administration Degree, a greater emphasis is placed on data visualization and presentation. Furthermore, certification training also covers data structuring and manipulation, along with Python and SQL integration.

Lastly, the Accounting Data Analytics with Python Training Course is a 100 percent online learning experience that allows you to learn and train at your convenience. Along with the video lectures, you will have a collection of reading material carefully curated by Coursera at your disposal. Upon course completion, you will receive an industry revered Coursera Certificate.

The intermediate-level Customizing Your Models with TensorFlow 2 online course by Coursera builds a strong knowledge base for TensorFlow. You will learn to develop customized deep-learning models and workflows for any application. Additionally, the certification course will teach you how to build complex model architecture using lower-level APIs in TensorFlow.

Towards the course end, you will be working on a Capstone Project to apply the concepts you acquired over the course duration. You will custom-build a neutral translation model from scratch. The Customising Your Models with TensorFlow 2 programme, is the second course of the three-part Specialization – TensorFlow 2 for Deep Learning Specialisation. Moreover, the world-renowned institute, Imperial College of London, offers the online course, while Dr Kevin Webster instructs it.

You will learn via pre-recorded lectures and development experience, along with the coding assignments, which offer practical and field-relevant practice. A graduate teaching assistant will guide you through the projects. Most importantly, the Customising Your Models with TensorFlow 2 online course is entirely self-paced with flexible deadlines to suit your comfort.

The Python Project for Data Engineering certification course, developed by IBM Skills Network and taught by Ramesh Sannareddy, a subject matter expert in data engineering, and Joseph Santarcangelo, a Ph.D., data scientist at IBM, is made available by Coursera, which is intended for participants who want to evaluate their expertise by using web scraping and extracting data with APIs, all with the help of numerous hands-on experiments.

Python Project for Data Engineering online classes provides 9 hours of prerecorded learning materials with an emphasis on assisting participants in obtaining the knowledge necessary to apply fundamental Python abilities by utilizing various data collection and data processing strategies. The Python Project for Data Engineering online course covers subjects such as Watson Studio, Jupyter notebooks, and API functions as well as demonstrates how to extract data from various file formats, change it into particular datatypes, and then load it into a particular source for analysis.

Microsoft Azure Databricks for Data Engineering is a Microsoft-offered course for intermediate-level learners, including data engineers and developers. The programme will enable you to learn and make aware of Microsoft Azure Databricks. Microsoft Azure Databricks for Data Engineering Certification Course is the eighth course in the 10-course Microsoft Azure Data Engineering Associate (DP-203) Professional Certificate offered by Microsoft. 

Offered by Coursera, Microsoft Azure Databricks for Data Engineering Training is entirely provided in online mode. The course will provide you with a deep insight into Microsoft Azure Databricks and related technologies and concepts such as Microsoft Azure Databricks documentation and characteristics of Azure Databricks. You can complete the Microsoft Azure Databricks for Data Engineering Certification by Coursera within the minimum duration of 21 hours. The eligible students are expected to have an understanding of data processing languages like SQL, Python, or Scala and knowledge of data architecture patterns and parallel processing. 

The course of inferring causal effects from the observational data offered by the platform of Coursera is free of cost course. The enrolled candidate can get a certificate for this course after paying a fixed amount according to the guidelines of the Coursera platform. The duration for this course is 5 weeks. This course is taught under the guidance of experts from the University of Pennsylvania. The E-certificate is available after the completion of this course.

The enrolled candidates will be provided with all the quizzes, assignments, video lectures, web links for books and references. As this course is free of cost and online, it is easily accessible for all the sections of society. Financial aid is also provided. The course of inferring causal effects from the observational data is highly recommended for all the students, teachers and researchers who are interested in this field. Financial aid is also available for all learners who cannot afford the fee. Total 33 percent of people started a new career after completing this course and 29 percent of them got career benefits after pursuing this course.

The University of Alberta and Alberta Machine Intelligence Institute offer the Sample-based Learning Methods training programme in conjunction with Coursera. An intermediate-level course, the programme is spread across four weeks, with intensive modules on reinforcement learning. The course will also help you understand how learning from experience can help you attain optimal behaviour. 

The Sample-based Learning Methods certification course will help you understand concepts like Temporal Difference learning, Monte Carlo strategy, exploration, dynamic programming, and more. Moreover, the certification course will provide you with a chance to apply TD algorithms, Expected Sarsa, Q-learning, and more.

Instructors will conclude the Sample-based Learning Methods online course by looking at how algorithms can combine model-based planning and temporal difference updates to fast-track learning. Additionally, the certification course offers the flexibility to learn at your own pace in your own time and set your own deadlines. 

You will also receive a combined shareable certificate from the University of Alberta and Coursera, upon completion of the Sample-based Learning Methods course.

Machine Learning: Clustering & Retrieval is the University of Washington-offered online certification programme. The online course will expose the students to the practical understanding of clustering and retrieval aspects of machine learning through the case study of Finding Similar Documents. Machine Learning: Clustering & Retrieval Certification Course facilitates the students to take the course completely in online mode from anywhere in the world. 

Provided by Coursera, Machine Learning: Clustering & Retrieval Certification Syllabus will discuss the similarity-based algorithms for retrieval,  latent Dirichlet allocation (LDA), clustering, and the implementation of expectation maximization (EM) and the like. Machine Learning: Clustering & Retrieval Certification by Coursera is the fourth and last course in the Machine Learning Specialization. 

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.

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 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 2 weeks 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 term ETL describes a set of procedures used to extract data from one system, change it, and load it into a target network. A more general name for any group of operations that transfer data from one system to another, possibly transforming it along the way, is a data pipeline. ETL and Data Pipelines with Shell, Airflow, and Kafka certification course is developed by IBM Skills Network and taught by Yan Luo - Ph.D., Data Scientist & Developer, Jeff Grossman - Certified Instructor, Sabrina Spillner - Senior Instructional Designer & Content Developer, and Ramesh Sannareddy - Data Engineering Expert, which is made available by Coursera. 

ETL and Data Pipelines with Shell, Airflow, and Kafka online training is designed to help the students gain an understanding of the two different approaches to converting raw data into analytics-ready data including the ETL process and ELT process. ETL and Data Pipelines with Shell, Airflow, and Kafka online course explains the differences between ELT and ETL processing, identifies instances for each, and goes over the procedures and tools needed for extracting data, combining it logically or physically, and importing it into data sources.

“Everyday Excel, Part 2” is the second part of the famous “Everyday Excel” training programme. Intensifying on the theories studied in the first course the learners will carry on expanding their knowledge in the uses of Excel. Although this training program is intended for intermediate users, advanced users too will benefit from it, in learning new tools and skills in Excel. After finishing this course, the candidates will possess enough skills to take up part 3 of the series Everyday Excel, which is project-based.

This specialisation series, which is divided into three parts aims to teach the candidates basic as well as advanced tools in Excel.  This curriculum is intended to be intriguing and enjoyable. It aims to encompass a wide range of learners so that a variety of experiences and abilities come together to teach something new to everyone.

A distinctive characteristic of this course is the compulsion to complete weekly assignments in the application itself, i.e. in Excel, which will push students into hands-on learning.

The Advanced Optimization Techniques and Hands-on with MATLAB/SCILAB course is being offered by the Electronics and ICT academy at National Institute of Technology Patna. It has been set up under the scheme of Department of electronics and information technology. It is a Joint Online Faculty Development Programme.

National Institute of Technology Patna, provides an opportunity of educational training, development and research in science, humanities and engineering technology along with education at UG, PG and PhD level. This course has been designed to provide the learners with an understanding of the various concepts of optimization. 

They will learn the fundamentals of optimization and the various methods used for optimization such as the graphical method, the simple method, Multi-modal function Optimization, Multi objective Particle Swarm Optimization, Hybridization of optimization techniques with Neural Networks and Deep Neural Networks and Benchmark mathematical function optimization.

This course is beneficial for the students who wish to gain knowledge about optimization techniques and advance their career in this field of industry.

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.

Coursera is offering a programme namely Using Databases with Python with collaboration with the University of Michigan. The course can be enrolled for free and has a future for databases with Python. Therefore, candidates enrolling in this programme can prosper their career in this field with enhancement to the modern world and technology. With a large amount of data to store in a secured manner, this programme comes as a rescue to help professionals and students as well. 

With a large number of technical enhancements in the engaging world, everyone is looking for storing data that is too secure so that the data can be only accessed by certain members. Data stored in the database can be accessed by only a particular language called SQL (Structured query language) with that type of query language the data in the database will be accessed by particular authorization only. 

The course is offered by Coursera for free so that course materials and assignments can be accessed free of cost. Coursera strives to give the student the best type of learning experience so that they can increase their growth career in their desired field.

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.

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

Generative AI: Elevate Your Data Science Career certification course lasts for 12 hours (approximately). The programme provides students with in-depth knowledge of generative AI tools, like GPT 3.5, ChatCSV, and tomat.ai for querying and creating the data. The course helps students to examine real-world scenarios where generative AI is used.   

The certification course is taught in English and it is also available in 21 other languages. The Generative AI: Elevate Your Data Science Career certification by Coursera offers generative AI skills in hands-on labs and projects. The students will be able to apply generative AI techniques in developing and refining ML models.    

The programme offers a comprehensive curriculum to the students that includes data science and generative AI, the use of generative AI for Data Science. Students will also be able to enhance their related projects with the guidance of industry experts. The course offers videos, readings, assignments, app items and plugins for a better understanding of the subject.  

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

The Multivariate Data Analysis certification course focuses on the most important branch in the field of mathematical sciences namely Data Analysis. Data analysis is one of the great studies in today’s world. What big companies are looking for is someone who could analyse their work data and utilize the information to help them develop and grow in an effective way. 

The world is really evolving today and with everything that is happening, it needs more intelligence work and Data Analysing is one of them. It’s a part of mathematical sciences and involves various elements of study such as Research work, managing work, Handling various things at a time, etc.  

With the change in technology, the need for data analysts has increased for day-to-day work as well. The demand for Data Analysts is increasing and this is why it’s a great career opportunity. The Multivariate Data Analysis training will help the learners to be corporate ready and be prepared for the work they need to deal with in their careers ahead.

Today's world is rapidly transferring into digital space, where one will find large amounts of data being stored by all types of businesses and organisations irrespective of their size. It has become easy to create smart storage space for this data without spending much only because of the technological advancements. 

It has become extremely important for companies to systematically store the data and use it wisely. Here the need of a data engineer comes. To meet up to the expectations and stand out to be chosen by a good company one has to sharpen their skills, so here comes ‘Nano programme in Data engineering’ by ‘Udacity’ in collaboration with ‘Insight’. A wonderful platform where one can build their skills and beat the competition prevailing in the industry.

AI-102, Designing and Implementing an Azure AI solution online certification is created by CloudThat and is presented by FurtureSkills Prime which is designed for individuals who want to develop artificial intelligence applications using Azure and Microsoft bot services. AI-102, Designing and Implementing an Azure AI solution online course by FutureSkills Prime seeks to provide individuals with the knowledge they need to transform their imagination into final artificial intelligence solutions.

AI-102, Designing and Implementing an Azure AI solution online classes are virtual lectures delivered by industry experts with the goal of teaching everything there is to learn about artificial intelligence solutions as well as providing one-on-one mentoring to individuals who are having difficulty comprehending the concepts and principles. By the end of this course, individuals will be able to implement computer vision solutions, knowledge mining solutions, as well as design and manage Azure cognitive services solutions.

Big Data Hadoop - First Virtual Lab certification course is designed by Corestack and is offered by FutureSkills Prime which is intended for the participants who want to acquire the knowledge of the core concepts and functionalities of big data analytics using Hadoop. Big Data Hadoop - First Virtual Lab online course by FutureSkills Prime focuses on helping participants gain better hands-on experience utilizing big data Hadoop technologies.

Big Data Hadoop - First Virtual Lab online classes feature 20 hours of extensive video-based lectures aimed at demonstrating practical mastery of big data components such as Cloudera Manager, Hive, Spark, Oozie, Impala, and others. This course includes an enterprise-grade lab architecture for hands-on project experience, as well as 24-hour support to make the learning process easier.

The Data Scientist Career Guide and Interview Preparation certification course duration is 9 hours (approximately). The certification programme is a beginner level course and its instructor is IBM Skills Network Team. The course offers a robust curriculum to the students that covers building a foundation, applying and preparing for the interview and interviewing.

The The participants will gain in-depth knowledge of the role of a data scientist and career paths in the field. The Data Scientist Career Guide and Interview Preparation certification by Coursera offers types of interviews, what to expect and how to prepare for it. The students will gain career development, job preparation and resume building skills.

Also Read: Online Data Science With R And Python Courses & Certifications

The fields of big data, data science, and artificial intelligence are all interconnected in terms of research and technological advancement. Big data technology makes use of AI concepts and methods, and AI depends on abundant data sources and related big data technologies to advance and develop decision-making attributes. Intro to Big Data, Data Science, and Artificial Intelligence online certification is designed by Julia Mariasova- Management Consultant & Media Producer, which is made available through Udemy.

Intro to Big Data, Data Science, and Artificial Intelligence online training is a self-paced program that comprises 10 articles, 10 downloadable resources, and assignments that are intended for candidates who are interested in big data, machine learning, and artificial intelligence to advance in their professional careers. With Intro to Big Data, Data Science, and Artificial Intelligence online classes, candidates will also be taught about the functionalities of big data and data science in the fields like healthcare, manufacturing, logistics, transportation, real estate, and property management.

SAP Analytics Cloud (SAC) is a revolutionary innovation in SAP's portfolio designed to satisfy the requirements of cloud data visualization. It's a SaaS-based all-in-one solution that takes care of data visualization, budgeting, and predictive analytics, with the development of data reports as its main role. Data can be retrieved from spreadsheets, on-premise databases, cloud databases, or a mixture of all three. Uplatz Training, one of the quickest growing global IT training providers, established the SAP Analytics Cloud (SAC) Certification Training online course, which is available on Udemy.

SAP Analytics Cloud (SAC) Certification Training online course is targeted at the participants working as business analysts and SAP power users, as well as consultants who report and analyze data utilizing dashboards, visualizations, and charts, who will benefit from this course. SAP Analytics Cloud (SAC) Certification Training online classes focus on teaching the four categories of SAC applications including SAP digital board, SAP analytics hub, mobile experience, and SAP app centre. Participants will also learn about operations like administration auditing, data wrangling, data visualization, data analysis, data reporting, data forecasting, data connectivity, and mo