List of Online Courses and Certifications

Coursera offers the Functional Programming Principles in Scala online course in association with EPFL (École Polytechnique Fédérale de Lausanne) which is a renowned research university in Lausanne, Switzerland. The instructor for this course is Professor Martin Odersky, who has devoted most of his career to programming languages. Learn from Prof. Martin and get the best educational experience in the field of functional programming.

The Functional Programming Principles in Scala course has modules spread out over 6 weeks; the course can be completed in approximately 45 hours. Discover the components of functional programming style with this comprehensive curriculum and apply them practically. 

Besides, the Functional Programming Principles in Scala certification course also promotes interaction and improvement of one’s core abilities in a fun and relaxed way. Enjoy intermittent programming assignments to get a grip on the practical aspect of the course. Coursera will award you a certificate upon successful completion of this course, allowing you to share your skills and specialization.

Databases contain much of the world's data. Structured Query Language or SQL is a robust language used to extract data and communicate with databases. If you are looking to build a career as a data scientist or in a related field, the Databases and SQL for Data Science with Python course is ideal for you. This training will help you understand the SQL language’s foundational and relational database concepts. You will also learn about conducting SQL access in a data science environment. 

The Databases and SQL for Data Science with Python certification syllabus concentrates on practical and hands-on learning. You will have the opportunity to work with real-world data sets, real data science tools, and real databases. There will also be periodic practice and graded quizzes for motivation and evaluation. 

Databases and SQL for Data Science with Python certification does not need any prior knowledge of Python, databases or SQL to join. You will have flexibility with the course material and audit it for free. Upon completion, you can also receive the shareable certificate if you choose to pay for it.

The Apache Spark and Scala Certification Training course by Edureka will help you master the fundamentals of Hadoop and Big Data. You will learn in-depth about Apache Spark and its ecosystem; including Spark SQL for process structuring, Spark Streaming, Spark RDD, Spark MLib, and other Spark APIs. You will also develop an understanding of Scala, Flume, Sqoop, GraphX, and Kafka, among others.

An instructor-led training course, Apache Spark and Scala Certification Training will help you to understand the capabilities of data ingestion using Sqoop and Flume in HDFS. Moreover, the course will also cover the core principles of Apache and Scala; such as Flume data capture, Sqoop data loading, and Kafka messaging framework. Over the course duration, you will also get to work on many Big Data and analytics ventures.

Furthermore, the Apache Spark and Scala Certification Training course has been curated by industry experts and aims to provide you with the expertise and skills to become a qualified Apache Spark and Scala Developer.

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 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. 

Aspirants learn the three core concepts of Machine Learning- advanced algorithms, high-speed computation, and extracting quality data by taking up the Online Certification course in Data Science and Machine Learning. The National Institute of Electronics and Information Technology, Chennai, is providing the programme. It is aimed to develop the skills required for Machine Learning Technologies by using Python for data analysis, design visualisations, and problem-solving ML algorithms. 

The online Online Certification course in Data Science and Machine Learning classes is spread across six weeks. It will teach automation techniques for smoother transitions in everyday life across five learning modules. NIELIT’s Data Science and Machine Learning certification programme includes case studies and projects that are updated with industrial innovations. A certificate becomes available to the candidate on completion of the Online Certification course in Data Science and Machine Learning.

Mr Ripunjay Singh will be the instructor on the Data Science and Machine Learning programme by NIELIT. It requires candidates to dedicate one hour of learning on the weekdays from 5 PM to 6 PM. The Online Certification course in Data Science and Machine Learning programme is packed with mini assignments and projects with analytics, data science, python programming, statistical learning, and machine learning.

The Introduction to Non Linear Dynamics certification course introduces students to the complexities of dynamic systems through analytical methods and real-world examples. It offers a practical understanding of phenomena in physics, biology, chemistry, and engineering, covering topics like bifurcations, phase plane analysis, and limit cycles.

Students will explore the behavior of one-dimensional and two-dimensional flows, learning about stability analysis, classification of linear systems, and the dynamics of oscillators. The Introduction to Non Linear Dynamics certification by NPTEL equips students with analytical skills and problem-solving abilities crucial for navigating nonlinear phenomena in diverse scientific contexts.

Essential Tools For The Low Carbon Economy course by edX guarantees that course takers will become familiar with each and everything about the low carbon economy. It will assist them with several professional concepts such as various climate change policy responses, comparing projects based on emissions reduction, comparing projects based on cost, analyzing your company’s carbon footprint, participating in emission trading schemes, and so on.

Edx made this course in a joint effort with the University of Queensland which is one of the best research and teaching institutions in Australia with the end goal that competitors will have an expert class learning experience. The Essential Tools For The Low Carbon Economy certification course is planned by experts so course takers will handily comprehend and become accustomed to the low carbon organization and foundation. 

Essential Tools For The Low Carbon Economy course accompanies adaptable choices of Self-paced preparation, Online exams, Graded assignments, Projects, and Discussion forums with the end goal that competitors can pick their favoured way of learning. It is likewise lined up with the most recent 2020 version which ensures that everything is forward-thinking. This program makes the best speculation for individuals who need to make a fruitful career in the industry.

The course provides two varied environment options for the learners; verified and free audit. In the free audit track, the learners can access the programme only for a limited period of time. 

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

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

The Understanding Data in the Tourism Industry course by FutureLearn is a five weeks course. The course is instructed in the English language, and the sessions are held online. This allows you to study according to your schedule. Edinburgh Napier University has developed the programme with the support of Scottish Enterprise. 

The DataLab has funded the Understanding Data in the Tourism Industry programme. You will have to study at least three hours every week for this certification. Furthermore, you can apply what you will learn to your enterprise and further your business. This course is a part of the Study UK Campaign. Besides, the course instructors boast relevant industry experience.

This Understanding Data in the Tourism Industry online course by FutureLearn course is focussed on medium and small enterprises that are involved in the tourism sector. The programme is designed to teach these SMEs how data impacts their business and the way data can be analysed and used to nurture their business. It also teaches you business productivity through data and tools to do all of this.

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 Applied Data Science Capstone course is a great course to understand the working life of a data scientist through hands-on and practical training. You will be exposed to a host of processes and applications such as learning about location data and data providers like Foursquare and making RESTful API calls to retrieve data from Foursquare API. 

If you do not have access to readily available data, the Applied Data Science Capstone online course will teach you how to scrape web data and parse HTML code. You will be able to refine your exploring and data analysing skills using Python and its panda libraries. Finally, to communicate your results and findings, you will use the Folium library and access maps of geospatial data.  

Applied Data Science Capstone certification can be audited for free. The course is offered by IBM and will be taught by Alex Aklson. The course also provides certification and financial support if you cannot pay the programme fee. 

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

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

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

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

In the present times where the advances in technology have shifted to IoT (Internet of Things), the concept of Deep Learning can be foreseen as one of the crucial ones, to be understood and well researched. Deep learning is faster and easier to develop and deploy as well. The Introduction to Deep Learning & Neural Networks with Keras certification course, the participants will get a deep insight into the Deep learning models. Furthermore, they will also be able to create models of Deep learning by making use of the Keras library.

The entrant will be introduced to exhilarating applications of Deep Learning. They will be learning about various deep learning algorithms and neural networks which are inspired by the functioning of neurons and the brain with respect to data processing. They will also get an insight into the working of the neural networks to feed the data throughout the network.

The Introduction to Deep Learning & Neural Networks with Keras training will provide knowledge about optimisation of variables as per the defined function, gradient descent algorithm, backpropagation, and updating the weights and biases of neural networks. Furthermore, the entrant will be taught about the activation functions and vanishing gradient problems. 

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 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 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 Python Functions, Files, and Dictionaries certification course by Coursera introduces user-defined functions and the dictionary data structure. In the curriculum, you will learn about global and local variables, optional and keyword parameter-passing, lambda expressions, named functions, and Python’s sorting function as well. You will also learn how to pass in another function as an input, to control the sorting order. 

The course also includes a final project, where you will have to read social media data from a file, write out .csv files, and compute sentiment scores. The course covers chapters 10 to 16 of the ‘Fundamentals of Python Programming’ textbook, which is available for free as the programme’s accompanying text.

Suppose you have already taken up the Python Basics course, and want to expand your knowledge of Python. In that case, the Python Functions, Files, and Dictionaries training is ideal for you. Both these courses are geared towards new students of Python programming. Those who have had some exposure to Python, need a refresher, or wish to dive deeper into it, will also get benefitted from this course.

In Building Deep Learning Models with TensorFlow course, learners will obtain a hands-on experience with the TensorFlow library as a strong mechanism for the application of Deep Learning to real-world issues. 

The course efficiently combines Machine Learning and Data Science to impart an all-rounder learning on building Deep Learning models. As a part of the IBM AI Engineering Professional Certificate, students will grasp all fundamentals of Machine learning and Deep Learning, including the use of Python. 

Hands-on projects will provide the course takers with essential Data Science skills and unsupervised learning. Candidates will also build, deploy and train their Deep Learning models and adopt various features of the TensorFlow library in them. Since the majority of data in the world is unstructured and unlabelled, shallow neural networks find it difficult to capture structures in data comprising sound, images and texts. 

However, deep networks are capable of performing this function and hence this course has been created to provide an Intermediate Level of knowledge of how to go about it. IBM is a major player in the industry by providing a broad portfolio to its trainees for software development, predictive analytics, and systems management. Its expertise in technology and R&D is incorporated into the course curriculum.

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. 

Aptech Learning offers the Data Structures in C programme, and it is part of their short-term course offering. Data structures efficiently collect and organise data and enable the rendering of data elements for improved organisation and storage. The course curriculum covers important data structure concepts and skills that are employed in C.

Aptech Learning’s Data Structure in C course will allow the participating candidates to pursue a lucrative career as a C programmer. The course focuses on familiarising the candidates with basics such as algorithm analysis, queues, arrays, trees, graphs, and strings. Furthermore, the curriculum covers advanced concepts associated with data structures in C.

For the Aptech Learning Data Structures in C training, candidates can also avail of an instant student loan facility. It can be utilised to fund their Aptech learning experience. In addition, the course spans only one month, and thus, the learners can acquire industry-ready skills in a short duration. Sessions are usually scheduled for two hours each, thrice a week.

Storytelling using data has been an essential marketing tool in the corporate realm; this practice is beneficial for all types of businesses. Thus, the Storytelling using data course by Jigsaw Academy will help you perceive and present data more visually and narratively. The training course focuses on equipping you with the skills to analyse and visualize data with Excel and other tools.

The Storytelling using Data Programme will cover all the essential concepts associated with Storytelling using Data, including visualization with Excel Power BI, principles of storytelling, and visualization with Tableau. This course will particularly come in handy for someone who wants to expand their career in data science.

A one-month long online course, Storytelling using Data Training will give you the best skills in applying principles and techniques of data storytelling to Analytics. Additionally, the mobile app access and round the clock faculty and technical support will ensure that you have a seamless learning experience.