List of Online Courses and Certifications

Wharton's Revenue Analytics: Price Optimization online course is comprehensively designed to equip business professionals with the essential knowledge and skills to excel in revenue management and optimization. In the Revenue Analytics: Price Optimization certification by Emeritus, participants will dive into the world of data-driven decision-making, understanding how big data analytics is transforming revenue opportunities and leading to strategic business growth.

The Revenue Analytics: Price Optimization certification course offers practical experience in using various revenue management analytics techniques, enabling participants to tackle optimization challenges across diverse industries. By delving into statistical, optimization, and economic decision-making tools, participants learn to make informed business choices for maximising revenue and beating revenue goals.

This online course is designed to cater to professionals across various industries seeking to excel in the realm of product management. The Product Management and Strategy certification by Emeritus delves into contemporary practices of product management and strategy, enabling participants to conceive, build, and manage products throughout their life cycle. 

In the Product Management and Strategy online course, participants learn to develop and execute successful go-to-market strategies for products, apply design thinking and agile methods, and assess the product management function within organizational practice. By the end of the Product Management and Strategy certification course, participants gain the confidence and expertise to transition into product-management roles and reimagine their organization's product-management frameworks effectively.

This online course is designed to equip mid to high-level professionals and aspiring product managers with the skills and knowledge needed to excel in today's dynamic product development landscape. The Product Management Methodologies (Online) certification by Emeritus delves into the core principles of product management. It guides learners through the entire product life cycle providing insights into crafting enduring product visions, optimizing go-to-market strategies, and prioritizing improvements.

Throughout the Product Management Methodologies (Online) course, participants will explore key topics, including understanding stakeholders' roles, identifying product-market fit, and assessing market opportunities. They will also gain a deep understanding of digital product development, transitioning from traditional waterfall methodologies to agile approaches. 

The Product Management Methodologies (Online) certification course emphasizes the importance of effective communication strategies to manage product development teams successfully. Upon completion of the program, learners will receive a certificate of participation from Columbia Business School Executive Education, validating their newly acquired product management skills and positioning them for impactful contributions in the field.

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. 

With an overload of choices and information in the digital age, customers often struggle to discover the service or product that best suits their needs. However, advancements in analytics, Data and computational make it easier for them by suggesting a suitable product. The Predictive Analytics in Commerce online course offers in-depth insights into predictive analytics and its utilization in Commerce.

The Predictive Analytics in Commerce course by Iversity will acquaint you with using data effectively to deliver the precise type of services, offers, and products to the most rewarding customers. You will also learn how to recognize exact situations where predictive modeling can provide value.

Predictive analytics can help in better allotment of marketing budgets, meeting customer needs, and enhancing the financial performance of the organization. The Predictive Analytics in Commerce training will make you adept at implementing predictive analytics methods to increase your team and company performance and elevate customer satisfaction.

A thorough assessment of the market focussing on the specific industry is marketing analysis. It shall help the business owners and board members understand and formulate such a strategy that shall help in the development of the business. Foundations of Marketing Analytics is a course offered by the ESSEC Business School for learners who are willing to be a part of the market analysis domain. 

Foundations of Marketing Analytics training is delivered by the experts on the online learning platform of Coursera. Candidates who are interested in the course can easily log in and start learning from the experts. This is an online course of 5 weeks and the classes for the course will be completed in approximately 5 hours. This is the two from a total of the four courses provided by ESSEC Business School on the platform in the domain of Strategic Business Analytics Specialization. Candidates will receive Foundations of Marketing Analytics certification by the ESSEC Business School and Coursera. 

The Talend Certification Training For Big Data Integration programme is specifically tailored to help you master the various components, products, and tools of Talend to tackle the real-time Big Data problems and challenges. The course has an instructor-led training model that allows you to interact with the instructor for better and enhanced learning results.

The Edureka Talend Certification Training For Big Data Integration course will equip you with all important concepts and skills that will help you gain expertise in the use of Talend for data integration. You will learn to perform the integration of Talend with various frameworks such as Apache Kafka, Hadoop, Hive, and Pig. 

Besides, since the Talend Certification Training For Big Data Integration course is in-line with Edureka’s teaching style, you will be trained with the help of online and live sessions, interactive presentations, PDFs, assignments, and real-life case studies. As a result, you gain hands-on training in the field. Also, you will be working on an industry-based project to reinforce the learning.

The Deep Learning in Computer Vision online course by Coursera is focused on introducing learners to computer vision, right from the basics. Eventually, the certification course moves to deep learning models which are more modern. Image, as well as video recognition, is a primary part of the programme. The comprehensive curriculum will cover image annotation and classification, motion estimation, human action recognition, and more.

Moreover, Deep Learning in Computer Vision programme is the fifth course in the Advanced Machine Learning Specialization. The National Research University Higher School of Economics offers an online course in association with Coursera. The Deep Learning in Computer Vision certification course is an advanced-level course with a self-paced learning option. You will also work on a final project to implement their learnings. 

In the course project for the Deep Learning in Computer Vision course, you will learn to build face recognition and manipulation systems. This project will help you get an idea about the internal mechanics of this technology. The online course also includes a shareable certificate which you will receive from Coursera upon successful completion. 

The Managing Big Data With R and Hadoop training is a five-week training programme offered by the FutureLearn portal in association with the Partnership for Advanced Computing in Europe (PRACE). In this course, candidates will learn about statistical learning, the use of Linux with Hadoop, and how to manage data using different tools and techniques such as R, Hadoop, and R Studio. Also, learners will learn to use the big data Hadoop tool to manage and analyse big data for the organisation or client.  

Managing Big Data With R and Hadoop online course will be taught by Janez Povh, Biljsna Mileva Boshkoska, and Leon Kos using the English language as a medium of teaching. This course is designed for people who are interested in learning about data science, computational statistics, and machine learning. To apply for this course, students will have to visit the official website of the provider and register for the Managing Big Data With R and Hadoop online course. As for the complete information about this course, please go through the article given below.

The Analyzing Data with Excel certification course is a self-paced 5 weeks online programme that is designed and offered by IBM on the platform of edX. By just focusing on 3-5 hours every week at their own speed, the learners can finish learning. Though the course is initially free, a nominal fee is required in case students wish to upgrade, get unlimited material access, and receive certificates along with verified badges. This is an introductory course that gives applied knowledge, and hands-on practice of lab exercises.

Analyzing Data with Excel training will give knowledge in the in-demand topics required for business. The students will be able to build basic knowledge of different kinds of Excel spreadsheets for performing the fundamental data analysis. This online introductory programme with zero admission prerequisites actually in its syllabus covers the working features of Microsoft Excel that will assist students in analysing their data.

The candidates can select from among the 2 tracks, the audit track and the other, the verified track. If one wants limited but free access their pick can be the audit track and if someone needs unlimited course material access they can upgrade to the paid verified track.

The online course on Prepare Data for Exploration by Coursera is the third part of the series programme under the Google Data Analytics certificate. The course will equip the students with the skills needed to apply to introductory-level data analyst jobs. The experts will guide the students throughout the Prepare Data for Exploration online course. Over 24 hours, students will gain a detailed understanding of the following topics - Considerations in Data collection, Data formats in practice, The structure of data, Introduction to Data Ethics, the importance of data ethics, Introduction to data privacy, steps for ethical data use and others. The students will gain practical data analytics skills and learn how to use tools like SQL and spreadsheet to extract, organize and protect data. Hence the online session will help the students emerge as successful data analysts.

A 5-weeks online programme, the Hurricane Tracking with Satellite Data course is developed to impart students with comprehensive knowledge about how they can analyse satellite data related to hurricanes and predict hurricanes’ paths to minimise the damage caused by them. 

Satellite-enabled data allows us to monitor, track and observe hurricanes from a secure distance. You will be gaining insights on how these datasets can be explored to derive descriptive stats. With the help of Hurricane Tracking with Satellite Data online programme, you will understand the important ideas of data science imperative to analyse, process, and finally interpret the large sets of data. 

Utilizing the tracking data made possible by satellites, you will see how predicting the paths of hurricanes is crucial in administrating, evacuations, and relief efforts to save countless lives that are endangered by these natural disasters.

The Hurricane Tracking with Satellite Data course by FutureLearn uses practical case studies and tutorials for enabling you to extract vital information from the satellite datasets.

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 2-4 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. 

This program on ‘Full Stack Applied AI Course’ is developed and designed by the data science institute for the candidates to transform into python professionals with AI and ML skills. The program is scheduled for four hundred hours and the candidates will be required to attend a total number of fifty classes in which they are allowed to explore the features of deep learning, machine learning, and data science within the scope of applied artificial intelligence to meet the business needs.

The learners will get hands-on experience with the software tools such as Python and other data science aspects. The ‘Full Stacked Applied AI online course’ curriculum is application-based and includes data extraction, wrangling statistical frameworks, supervised and unsupervised machine learning strategies that are required for various applications of AI. The assignments, case studies, projects, and evaluation helps the students upskill themselves with experimental industrial insights and gain a valuable certification.

With the increasing use of technology and machinery in our daily lives, people have started accepting and learning various methods and techniques. It has become essential to possess the skills and capabilities to beat the competition. Neural Network course certification online teaches various algorithms which enable pattern recognition.

The Neural Networks course by Jigsaw Academy online certification is a framework specially designed and conceptualized for candidates interested in learning advanced machine learning algorithms that can enable pattern recognition based on a large number of inputs. The Neural Networks course will provide a deep dive into the world of neural networks, make you understand the algorithms and techniques, and ultimately gives an insight into deep learning. 

The importance of data structuring and predictive modelling continues to grow. As a result, the need for certified analysts has also increased significantly. The Jigsaw Academy Text Mining with R training has been specifically created to allow you to understand the various ways to structure raw data.

Moreover, the Text Mining with R course has been created, keeping in mind the specific requirements of the industry. The curriculum will broadly cover Text Mining, standard expressions used in R, topic modelling, clustering, among others.

Candidates will also undertake numerous case studies throughout Text Mining with R programmes. These can include processing texts from popular magazines using different methods of analysis. They will also have faculty and technical support throughout the certification course.

In addition, the Text Mining with R certification course is accessible to the candidates via mobile phones. They can use an application to access the course content and learn at convenience. Once candidates finish the training course, they will receive the certificate after passing a certification exam. 

Knowing Excel and utilising its advanced features has become integral to businesses today for enabling data-driven strategies. The Analytics with Excel Training by Jigsaw Academy is strategically designed to focus on analysing data, leveraging built-in statistical functions of Excel. An Excel analytics course will equip you with the skills to handle Advanced Excel tools and perform data manipulation and data visualisation with ease. 

The Analytics with Excel Course aims to provide you with the necessary skills and knowledge to source out data from multiple sources and prepare rich Excel spreadsheets for analytical purposes. This data analytics course will give you an overview of MS Excel including concepts like formulas, cell references, concatenate, sort, filter, pivot tables, charts, SUMIFS, TRIM, text formulas, and more to ensure comprehensive and dynamic data analysis for a business. 

Furthermore, the Analytics with Excel Training programme has an online self-paced learning module that allows you to train at your own pace with convenience. The course also provides a smart feature of mobile app access for students to choose their environment and time for learning.

The Data Analysis Courses for Beginners certification caters to the young aspirants who wish to learn and master the operations of data analytics. This one-month course curriculum is designed to cover all the fundamental lessons of data analysis, such as data manipulation, data extraction, data processing, analytical methodology, and more. This Data Analysis Courses for Beginners by Jigsaw Academy is the perfect beginner’s guide for students new to the field and can help them lay down a proper foundation.

Moreover, the Data Analysis Courses for Beginners makes learning, comfortable experience for the students through interactive faculty support for doubt clearance, mobile app access to study from anywhere and at any time. Industry-relevant case studies, included in the programme curriculum, will help candidates understand the functions and applications of data analysis. 

The Data Analysis Courses for Beginners training also features a quiz to test everything that you will learn throughout the course. It offers three months of access to the course material, in case you need to revisit a lesson. After satisfactory completion, Jigsaw Academy will award you the data analysis for beginners’ certification. 

IIDE's Certification in Generative AI (CGAI) is a 1-month course for students and beginners curious about AI. The course covers AI fundamentals and prompt engineering. Students learn how to think like an AI expert, and master prompting techniques. 

Students learn to create images, videos, and audio using generative AI tools. The course includes two real projects. First, they build their own AI assistant, then they create a digital avatar for personal branding. Both projects are practical and give hands-on experience.

Students can learn at their own pace through live online sessions. Batches are small with only 30 learners per batch, so all of them get personal attention. This course is perfect if someone wants to explore AI. 

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. 

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The 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.