List of Online Courses and Certifications

Offered by IBM, the Data Analysis with Python Programme certification course is a certification programme which is conducted by one of the leading and pioneering skill-based training academy namely, Coursera. By undertaking this programme, the candidate will specialise and learn the art of analysing the data with the help of Python. During the course, the candidates will be able to master and gain knowledge on different skills namely, Data Analysis, Model Selection, Data Visualization, Python Programming and Predictive Modelling. 

The candidates will seek a detailed understanding about skills used in data analysis namely, Scipy, Numpy and Pandas libraries. This programme being a 100% online programme will give ease and convenience for professionals to pursue it. A shareable certificate will also be given in the end post successfully completing the programme. This certificate can be easily viewed, printed and shared on LinkedIn as well. Moreover, this programme Data Analysis with Python training  will act as a foundation or basis for professionals to pursue different programmes post completion of this one. 

Stochastic motion is the motion of particles like that of ink in water. As opposed to the movement of celestial objects which can be calculated, this motion cannot be predicted. The Stochastic Processes: Data Analysis and Computer Simulation certification course aim to introduce candidates to stochastic processes and how to conduct data analysis on them. 

Students will first learn the fundamental theories governing stochastic processes in the training programme. Then, using Jupyter (iPython) notebook, they will learn how to do numerical simulations and perform them. They will analyse the simulation data as well. The six-week-long  Stochastic Processes online course in Physics is made for students interested in thermal motion and particle motion. 

Faculty from the reputed Kyoto university in Japan teaches this course on Stochastic Processes: Data Analysis and Computer Simulation training by edX. Throughout this course, candidates will acquire knowledge of stochastic processes and programming. This online programme is completely free of cost. edX also offers a verified certificate upon course completion.

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 the Hadoop program is appropriate for 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 Tableau Training and Certification online course is meant for anyone who works with data. It enables the candidates to create, share interactive dashboards and display large volumes of data as graphs and charts. The course is available as a six-week weekend course or an eighteen-day long weekday course. 

The course is offered by edureka.co, which provides hands-on training in various Tableau projects and real-life industry cases in Entertainment, Life Sciences, Retail, and Transportation domains. Moreover, the online course will boost your business intelligence journey as certified Tableau Experts are currently high in demand. 

Furthermore, the Tableau Training and Certification course by Edureka covers numerous, extensive modules on Visual Analytics as well. Advanced techniques to analyse data like Forecasting, Trend Lines and Reference Lines are emphasised in the course curriculum. 

Participants of the Tableau Training and Certification programme will learn various data visualisation techniques; new features of data analysis through Tableau, data transformation techniques, hands-on expertise in Tableau, and much more. Besides, the course is available to diverse professionals regardless of their analytical or technical background.  

The Excel/VBA for Creative Problem Solving, Part 1 course is a comprehensive 6-week study designed for learners looking to improve, expand, and optimise their Excel skills. This programme delves deep into the world of Visual Basic for Applications (VBA) and its robust automation, programming, and customisation functionalities.

The Excel/VBA for Creative Problem Solving, Part 1 training programme, is the first course in a three-part specialisation that aims at instilling problem-solving skills by leveraging various computational techniques employed by Excel/VBA. The curriculum includes crucial practice exercises at the end of each week’s module to help you consolidate the knowledge gathered throughout the week.

Moreover, the Online Excel/VBA Creative Problem Solving, Part 1 course by Coursera includes real-life problems that will help you realise the industry problems you might face in your career. Further, to pass each module, you will need to achieve the minimum required marks in the given week’s problem-solving assignment along with the mastery quiz. Upon successful course completion, you also receive a certificate of completion from Coursera and the University of Colorado Boulder. You can share the certificate directly on your LinkedIn profile.

Data science is one of the major industries of the world right now and it is continuously expanding through all sectors; an important one among these domains is applied Bayesian statistics. It has a wide use when it comes to data analysis and thus, constantly produces a need for fresh candidates to join the programme.

Applied Bayesian for Analytics is an Indian Institute of Management Bangalore-designed course that provides its students with all the essential insights and requirements from the Applied Bayesian for Analytics certification course. It teaches them all the founding topics of the industry, from parametrizations, and Monte Carlo methods to what difference it possesses compared to classical statistics and multilevel modelling.

Applied Bayesian for Analytics course will be mentored to the applicants in two different parts; one being the essential theoretical concepts and the other the empirical part of the domain. Through the first three weeks, applicants will attain the know-how of calculating posterior and prior aspects along with analytical skills while the latter part will give them a detailed understanding of computing Bayesian models. This online programme is a self-paced course and it can be taken by learners either in the paid mode or free mode. In the free audit mode, the candidates will be given access only for a limited period. 

The Introduction to Data Analytics for Managers course has been gaining popularity due to the heavy reliance on data by industries worldwide. Companies have been leveraging varied data sources such as big data to a large extent to maximize the company’s performance. The course curriculum also gives a run on the different facets of machine learning. 

The Introduction to Data Analytics for Managers certification program will carry a curriculum filled with various case studies. These will give hands-on learning about how different businesses use data analytics to their advantage. Through them, you will also understand the application of data analytics in a better way. 

The Introduction to Data Analytics for Managers online program by Edx is taught by two experienced faculties members, namely Amitabh Sinha and Sanjeev Kumar. The course is best for students who want to deep dive into the web-based graphical development environment. EdX presents this course in collaboration with the University of Michigan. There are two enrolment options for joining this programme, namely, paid and free. In the free option, the candidates can access the program only for a limited duration of time. 

The beginner-level Process Data from Dirty to Clean online course will help the students develop the skills required to be a data analyst. It is an online programme and thus does not limit the students with any time restriction. Students across the countries can apply for this course. The programme deals with the topics such as tools used in data analysis, cleaning and checking data using the spreadsheet and SQL. 

The Process Data from Dirty to Clean certification course also helps the students gain information regarding data verification. The course is provided in association with Google. The programme is free for all the participants if they learn from it in the audit mode. Since it is a beginner level programme, it does not require any specific academic eligibility, except the basic understanding of mathematics. 

The Process Data from Dirty to Clean certification programme can be completed in 25 hours. However, it can be pursued weekly according to the requirements of the student. At the end of the course, after the successful completion of all lessons and assignments, students get a chance to enjoy the benefits of professional certification.

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 Developing AI Applications on Azure certification by Coursera will equip users to create and work on an Azure Machine Learning Workspace, all to create their models and test run them on the cloud. 

The learners delve into algorithms, types of machine learning. They’ll learn the practical applications of Python for machine learning solutions, as well as certain scientific ecosystem packages which will help you implement machine learning. Along with standardized approaches to data analytic, they’ll learn Microsoft's Team Data Science Approach. 

Another perk of the Developing AI Applications on Azure certification course is that the learners will familiarize themselves with pre-trained and managed machine learning which is offered as REST API's in their suite of cognitive services. Other concepts include facial recognition API, sentiment analysis with the natural language service, implementation of solutions via the computer vision API.   

Created by Learnquest and available on Coursera, the Developing AI Applications on Azure certification course will take the learners through Artificial Intelligence, Machine learning, Data Analytics, Python programming, etc. Hands-on exercises will polish the AI skills of candidates and also equip them to deploy their machine learning models.

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 Data Visualisation with Python course, offered by IBM via Coursera, is designed to teach learners how to use Python for creating compelling data visualisations. This course focusses on various Python libraries and tools that are essential for data visualisation, making it suitable for those who want to enhance their data analysis skills. Data Visualisation with Python certification course, offered by IBM has total duration of 20 hours and learners can complete the Data Visualisation with Python certification course at their own pace. 

Students will learn the implementation of data visualisation techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story along with generating interactive dashboards, creating different types of charts and others, during the completion of Data Visualisation with Python course, offered by IBM via Coursera. A sharable certificate will be provided. Data Visualisation with Python certification course is available in English and 22 other languages with 11 quizzess and one assignment.

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.

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 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 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.

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.

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.

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. 

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.