List of Online Courses and Certifications

Analyzing Data with Python certification course is designed by IBM and taught by Joseph Santarcangelo - PhD., Data Scientist at IBM, which is delivered by edX, which is targeted at the students looking for a comprehensive learning environment that could assist in their mastery of the concepts and methods required to develop the skills necessary for analyzing data with the Python programming language. Students who are interested in enrolling in the Analyzing Data with Python online classes by IBM and edX should be familiar with the fundamentals of programming in Python.

Analyzing Data with Python online training is a 5-week learning program that includes approximately 20 hours of extensive video-based materials that cover topics such as data loading, data manipulation, data preparation, data cleaning, linear regression, data visualization, ridge regression, polynomial regression, and machine learning models. Students who successfully finish the verified version of this program will also receive a skill badge that validates their knowledge and skills. This self-paced programme free course and they learners can upgrade it to the verified mode and get certification by paying the course fee. 

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 How to Win a Data Science Competition: Learn from Top Kagglers online course is a part of Coursera’s Advanced Machine Learning Specialisation. It is a course in the Data Analysis domain and undertaking this course will help you push your limits, and boost your career in data science. 

The Coursera How to Win a Data Science Competition Course is not a basic machine learning programme. It trains you to get a head-up on your competitors and get high-rank solutions. It gives you a better understanding of practical applications of machine learning methods. 

How to Win a Data Science Competition: Learn from Top Kagglers certification course has a plethora of expert professors and research data scientists who will teach you for the duration of this course. It is offered by the National Research University Higher School of Economics which is one of the top research universities in Russia. You will earn a shareable certificate upon completion, and you can share your skills in data science. 

The Cassandra certification course by Jigsaw Academy is an online training programme which will train you in all the modalities of Apache Cassandra. In the one month of online training, you will study the primary concepts, practices, and framework of Cassandra. 

During the Cassandra online course, you will receive complete faculty and technical guidance. You will be learning how to install, configure, deploy, and use Cassandra, with the help of practical examples and instruction guides. In addition, you will be working on industry-based case studies to receive hands-on learning.

Moreover, you will also learn advanced architecture concepts in Cassandra in the Cassandra certification training course. Also, the various interfaces to Apache Cassandra. To facilitate the learning further, you will receive topic-based quizzes to test your learning outcomes. 

Besides, Cassandra has become a part of the current crop of data revolution software. Thus, a Cassandra certification course will be highly beneficial for interested candidates from an employment standpoint.

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 16 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 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 11 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.

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.

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 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.

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 Reliable Google Cloud Infrastructure: Design and Process course by Coursera has been conceptualized for learners who wish to get an insight into the process of building highly effective and reliable business solutions and start out their career in that direction. The course is a part of multiple programmes such as Cloud architecture with SRE and DevOps Engineer with Google Cloud Professional Certificate, Architecting with Google Compute Engine Specialization and Google Cloud Professional Certificate.

Coursera ensures to deliver the programmes only via world-class instructors hailing from companies and universities worldwide. The course programme is ensured to be delivered via interactive methodologies such as community discussion forums, projects, exercises, quizzes and video lectures. The course is delivered via labs, design activities and presentations. It will enable the participants to design highly reliable, secure and cost-effective Google Cloud deployments while balancing the business and technical requirements. The course gives direct experience with the technologies covered in Architecting with Google Kubernetes Engine courses or Architecting with Google Compute Engine. It will equip the participants to develop efficient and reliable solutions with the help of design patterns available on Google Cloud.

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.

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 more than 6 hours of extensive 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.

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 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 6 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.

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

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

Also read:

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

The 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.

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.

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 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.

Design Thinking and Predictive Analytics for Data Products is an intermediate-level programme designed and offered entirely in online mode. The online certification programme is the second programme in the four-course Python Data Products for Predictive Analytics Specialization. Offered by Coursera, the Design Thinking and Predictive Analytics for Data Products Certification Course will discuss the fundamentals of designing predictive models in Python, the design thinking process, design thinking methodology, predictive analytics algorithms, predictive analytics tools, the basics of statistical learning and various methods of building predictive models.

Design Thinking and Predictive Analytics for Data Products Training is prepared and tutored by Julian McAuley and Ilkay Altintas, faculty members of the University of California San Diego. Design Thinking and Predictive Analytics for Data Products Certification by Coursera can also be pursued by learners who hail from non-English speaking backgrounds as the subtitles are available in the languages of Arabic, Vietnamese, German, Russian, French, Portuguese (European), Italian and  Spanish. The practical exposure through the final projects also will be given to the students in the Design Thinking and Predictive Analytics for Data Products online course. 

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 over 1.5 hours of video lectures, 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.

The R Programming - A Practical Approach course enables learners to become proficient in dealing with concrete datasets. Analysis of data is one of the highest valued skills employability, which makes this course unique. Candidates will get hands-on data analysis experience. This training programme carries a 67 credit score.

The R Programming certification training ensures that the learners have a detailed understanding of the various fundamentals of the R language. This includes using data sets and designing analysis charts like pie charts, bar graphs, histograms, 3D scatter plots and box plots. As this is a paid programme, candidates can access the course content after paying the programme fee. The course fee provides them with access to the course content for six weeks.  

Moreover, the R Programming online certification allows the students to explore various applications of the R language. They will learn how it can best be applied in various domains like machine learning, statistics, and data analysis. The course welcomes all students, faculties, and working professionals of the IT/CS domain.

Matthew Fried - Professional Instructor created the Functions, Data Analysis, Presentation, and Finance w/ Excel online certification, which is offered by Udemy and is designed for candidates who want to learn how to use Microsoft Excel, Power BI, and Power Pivot to understand, analyze, and present data. The Functions, Data Analysis, Presentation, and Finance w/ Excel online course by Udemy focuses on demonstrating a practical grasp to assist applicants to develop financial models.

Functions, Data Analysis, Presentation and Finance w/ Excel online classes teach how to use pivot tables and the data model to combine data analysis and data presentation. Candidates will learn about topics such as data analysis, data visualization, data validation, finance, financial analysis, charting, grouping, and Monte Carlo analysis, as well as a thorough understanding of buttons, charts, conditional formatting, and all of Microsoft Excel's standard features.

Data storytelling is the art of using narratives and visualizations to effectively convey insights from a dataset. It could be used to put data and insights into the frame of reference and motivate your audience to act on them. How to tell a story with data certification course is created by Mike X Cohen - Neuroscientist, writer & professor, which is offered by Udemy for applicants who are willing to develop their skills in storytelling using data to advance in their professional careers.

How to tell a story with data online training provides 1.5 hours of virtual lessons along with 2 articles, downloadable resources, and quizzes that aim to help the applicants how to engage their audience and help them remember the key points of their data graphs. How to tell a story with data online course covers topics like data stories, data storytelling, and presentation as well as discusses the methodologies and concepts involved with the 5 stage arc of storytelling.

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.

Professional Informatica Power Center ETL Course online certification is created by Sandesh KK - Professional Informatica Developer & Trainer which is offered by Udemy and is designed for participants who want to enhance their knowledge in Informatica PowerCenter to become professional web developers. Professional Informatica Power Center ETL Course online training by Udemy is designed to equip participants with the necessary knowledge and hands-on experience through the use of real-life situations that are taught and executed comprehensively.

Professional Informatica Power Center ETL Course online classes feature extensive digital lectures that last more than 33 hours, as well as articles and downloadable tools that let participants grasp the theocratic principles of data warehousing and ETL even when they are not connected to the internet. Participants must have a basic understanding of databases and be willing to learn more about ETL technologies used in IT operations to enroll in the course. To help participants get a practical understanding of the Powercenter ETL concepts, this course uses technologies such as Oracle 11g Xpress edition, SQL, and Informatica PowerCenter 9.6.1.

Software programs called database management systems have been used to collect, access, and access information. People can create, retrieve, modify, and erase data in databases using a DBMS, which acts as an interface between them and the databases. Data can be changed or downloaded by users and other applications because of DBMS, which controls the database, the database engine, and the database design. Database Management System (DBMS) & SQL: Complete Pack-2022 online certification is developed by Atchyut Kumar - Professional GATE CS & IT Faculty and is offered by Udemy.

Database Management System (DBMS) & SQL: Complete Pack-2022 online course is designed for participants who are interested in learning about the methodologies utilized in data security, concurrency, data integrity, and standard database administration practices. With Database Management System (DBMS) & SQL: Complete Pack-2022 online classes, participants will be provided with 16 hours of prerecorded resources that discuss topics like database design, relational database design, database management, normalization, database indexing, concurrency control and teaches them to organize, maintain and retrieve efficiently and effectively any information from a DBMS.