List of Online Courses and Certifications

“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 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.

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 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.

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

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

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

Data Visualization with R online classes incorporates 12 hours of learning materials that concentrate on teaching the methods for personalizing charts and plots using themes and talking about the methods for using data visualization for Leaflet. With Data Visualization with R online training, learners will be taught about concepts involved with data science, data visualization, and data analysis as well as acquainted with approaches for building interactive dashboards using the R Shiny package.

The 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

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. 

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.

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. 

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. 

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 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 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.

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

The Data Science programme by Digital Vidya has been created and curated by industry experts having years of experience. The curriculum has been vetted by over 2800 enterprises to be made industry-compliant. Besides, the Data Science training course will help you take that crucial step in becoming a Data Scientist. 

You will receive instructions about variables, data types, and all the various operators—logical, arithmetic, and comparison—to come to terms with the language of Python. Additionally, you will also learn about Data Manipulation techniques using the Pandas library, along with the required skills for Regression Analysis, Decision Trees and Forests, and Statistics.  

You will be required to solve the Capstone Projects in the Digital Vidya Data Science course. As a result, you will increase your industry knowledge in the niches of Natural Language, Deep Learning, Bank Management, and Healthcare Analysis. 

Furthermore, you will be eligible to receive two certifications—one from Digital Vidya, and the other from NASSCOM. The former will be available after you complete all of the assignments and at least one Capstone Project. Upon completing the Data Science Programme successfully, you will get the NASSCOM FutureSkills Certification as well.

Google Colaboratory is a free, in-browser interactive programming environment that supplies deep learning researchers and engineers with an immersive and simple platform to collaborate on their data science projects. Google Colab allows anyone to compose and run arbitrary Python scripts in the browser, making it ideal for machine learning and data analysis. Minerva Singh - Instructor & Data Scientist developed the Complete PySpark & Google Colab Primer For Data Science certification course, which is available on Udemy.

Complete PySpark & Google Colab Primer For Data Science online training incorporates 4.5 hours of comprehensive lecture accompanied by articles and downloadable resources and is intended for individuals who want to use the capabilities of Google Colab for working with PySpark and Python-based AI modeling. The Complete PySpark & Google Colab Primer For Data Science online course discusses the methodologies involved with data processing, statistical analysis, correlation analysis, statistical modeling, and much more.

An early diabetes diagnosis can result in better management of the condition. The early diagnosis of the disease is frequently accomplished using data mining techniques. The relationship between the various attributes is also described in this research paper, which uses significant attributes to predict diabetes. The School of Disruptive Innovation, a company that develops innovative learning solutions for the digital age, created the Data Science: Hands-on Diabetes Prediction with Pyspark MLlib certification course, which is made available by Udemy.

Data Science: Hands-on Diabetes Prediction with Pyspark MLlib online course is an hour-long program that teaches students all the methods and ideas necessary to create, train, experiment, and assess machine learning models capable of identifying diabetes using logistic regression. Data Science: Hands-on Diabetes Prediction with Pyspark MLlib online classes include a variety of carefully crafted and designed tasks centered around data cleaning, diabetes datasets, logistic regression, performance evaluation, and Spark MLlib.

Pyspark is a big data application that employs the Python programming language for real-time streaming and offers a better and more effective way to perform all types of calculations. PySpark for Data Science - Beginners online certification is developed by Exam Turf - an educational organization that provides competitive exam preparation and test series, which is delivered by Udemy for the candidates who want to master the concepts involved with data science using PySpark to become PySpark developers, and data scientists.

PySpark for Data Science - Beginners online training is a short-term training program that involves 2.5 hours of prerecorded lectures to educate candidates about the fundamental ideas and procedures related to PySpark for data science activities. With PySpark for Data Science - Beginners online course, candidates will be taught about big data, Spark, and Python as well as will be taught about the concept of resilient distributed datasets and other fundamental capabilities and terminologies employed in the particular instance of Spark