List of Online Courses and Certifications

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. 

This training course Blockchain: Foundations and Use Cases offered by ConsenSys Academy is the ultimate prologue of blockchain, a startup apparatus, for all types of the audience; be them developers, or non-developers. Apart from technology, this course is also going to throw light on the philosophies and doctrines behind decentralization, and the reasons behind the buzz created by it.

Throughout the initial three modules, the learners will have an introduction to blockchain, as well as the technology used behind it. The level of learning will be raised in the fourth module, as the learners will move past bitcoin, and dig deeper and learn about the blockchain of next generation, Ethereum. This will act as an introduction to modern blockchains and their capabilities, to the candidates.

The use cases appearing in the last module are real-time manifestations, which are taken from the businesses in the startup portfolio of ConsenSys’. We feel that we are perfectly positioned and suited to introduce you, to provide you with relevant as well as helpful backstage views at the companies and people employed in this domain to aid you in having a proper and superior understanding of the commerce side of blockchains.

The Online Hands-on Machine Learning and Artificial Intelligence Program is a no-coding, no-programming course. But it is still totally lab-oriented, practical, and interactive. It aims to study analytics techniques using Machine Learning and enable students to employ it in their research, teaching, or other industrial contexts.

KNIME and H2O are the two tools you will learn to use with the Hands-on Machine Learning and Artificial Intelligence programme. The instructor will explain each step in a particular project/assignment and create a workflow for it on KNIME. You will then go through the steps and try to solve them yourself on your laptop. Whenever you have a doubt or question, you can ask the instructor in real-time. The results will become available to both you, and the instructor immediately afterward.

The Hands-on Machine Learning and Artificial Intelligence training sessions will go live between 2 PM and 5 PM on weekends. There will be six hours of training each week for five weeks, a total of 30 hours. Esteemed faculty from the Indian Institute of Technology (IITs) from across the country teach students the course.

Digital Transformation and the IT Team certification course will furnish you with reasonable models for comprehension, and drawing in with, advanced change measures. Advanced change is involved in various social, financial, and hierarchical segments, which makes it hard to depict and screen the cycle. The 'Computerized Diamond' gives a model to bunching numerous parts into the four key components of any advanced change measure, making it conceivable to think about the general heading of advanced change in an association.

As advanced advances are consolidated into business measures, associations endeavor to keep a dynamic balance among 'bedlam' and 'request', dexterity, and soundness. The 'Complex Adaptive Situational Model' (CASM) gives a method of understanding the complexities of progress in arranged associations. As computerized advances are fused into a scope of business works, the part of the IT work is evolving. The idea of 'business innovation' encourages us to comprehend this move, and reconceptualize the job of the CIO group in associations that require significant levels of advanced proficiency across business capacities.

Together, knowledge of these models and theoretical systems will permit you to draw in with advanced change measures in your own area and association after completing Digital Transformation and the IT Team certification course.

The CSS Basics certification by edX has been meticulously curated to help the candidates develop the ability to completely redesign & transform their webpages using various features of CSS. The level of the course content in CSS Basics certification gradually paces, right from the scratch so that candidates can spend maximum time with the very basics of CSS, which can help them in building an indestructible foundation for themselves in the web development area. The CSS Basics certification course thoroughly talks about Cascade Style Sheeting, its superficial impact on the websites, their every visual aspect such as colours, fonts, themes, compatibility & overall look of the page. 

The course being created by the World Wide Web Consortium itself, ensures the content about the CSS Basics certification by edX course is always updated to the current web trends and standards. CSS Basics certification course has been carefully designed keeping in mind all the web development guidelines, to ensure the delivery of the most useful content to the course takers. The candidates get 2 tracks to choose from, the verified mode which offers unlimited access, and the audit mode which offers limited access to the course materials.

Container technology is a packaging method that enables applications to run with isolated dependencies and has existed for years. The most popular options in container technologies are Kubernetes and Docker, both with distinct features and challenging to orchestrate. Building Containerized Applications on AWS Online Certification by Edx is an introduction to the use of container technologies in modern applications, helping you solve such problems. 

Furthermore, the Building Containerized Applications on AWS certification syllabus explores various services such as Amazon Elastic Kubernetes Service, Amazon Elastic Container Service, and Amazon Elastic Container Registry. 

Through the  Building Containerized Applications on AWS training, students will gain exposure to the services mentioned above, with thorough guidance from expert instructors. The certification program curriculum also includes practical assignments and lab exercises to help students learn about managing container technologies.

Besides, the Building Containerized Applications on AWS program is a free online course that gives students an opportunity to learn new skills and earn a digital certificate to add to their CV.

The Deep Learning Essentials program by edX will help candidates discover the issues of discrimination and bias in Machine Learning and gain valuable insights regarding the subject. They will become adept at performing tasks like signal processing, computer vision, robotics, sequential decision-making, and natural language processing.

Besides, the University of Montreal offers the Deep Learning Essentials training which is designed by IVADO, a hub of scientific and economic data science and Mila. The scientific director of this course is Yoshua Bengio, a reputed expert in artificial intelligence and a pioneer in Deep Learning, who is also a professor at the University of Montreal.

Rife with video tutorials, tests, and assignments, the Deep Learning Essentials certification course also provides diverse learning tools to help candidates become adept in deep learning's fundamental concepts and methods. 

On successful course completion, candidates can also secure a verified certificate from edX to acknowledge their newly acquired knowledge in the field. The candidates may choose from any one of the tracks available namely verified and audit to complete the programme. Both the tracks are self-paced but during the audit track, the candidates shall receive limited period access to the course. On the other hand, the verified track will offer unlimited time for accessing the course.

After virtualisation, cloud-native and containers are one of the most significant finds of the ITC industry. Several organisations are transitioning to this platform to gain competitive advantage. So, pursuing the Introduction to Containers, Kubernetes and OpenShift certification course will help you leverage this opportunity for personal gains. It is an intermediate-level programme for five weeks.

The introduction to containers kubernetes and openshift docker introduction has a self-directed training model. It will allow you to learn at your speed and enhance your employability quotient. After completing this course, you will develop and deploy cloud-native applications effectively. You will understand the difference between containers and virtual machines through the computer science course curriculum.

Furthermore, the Introduction to Containers, Kubernetes and OpenShift training will enable you to take on advanced roles in your organisation. It is also a beneficial programme for an individual who wants to become a cloud practitioner. The course dives into the concepts of how and why containers are important in cloud computing.

The IoT Networks and Protocols training is designed by Curtin University in collaboration with edX to provide knowledge about IoT. This is a short-term accreditation that will go on for five weeks. It is developed for individuals starting in the field. 

With a primary focus on how IoT works, this course will equip you with how IoT networks operate in conjunction with the 'things'. The IoT Networks and Protocols certification syllabus will cover core topics such as connection types, layer models, IoT standards, and protocols. 

The IoT Networks and Protocols certification course by edX comes under the purview of computer science. You can enrol in this course for free, but you will only get a certification if you are willing to pay a small amount. You can access the pre-recorded video lectures at convenience. 

And the best part? You will have access to its video transcripts for self-directed learning. This will enable you to learn the curriculum efficiently. 

Additionally, you will be taught by three well-qualified mentors working at Curtin University. They are highly experienced in their respective fields to provide you with a holistic learning experience. 

This story-driven course of Data Ethics, AI, and Responsible Innovation by edX will be taught to the candidates by the experts leading in the field of data science, science and technology studies, innovation, and responsible research with the help of various case studies. The candidates will be taught to look at the original controversies in the world and challenges related to ethical issues possessed by large data. The candidates will be able to understand the complexities and realities by making an ethical decision with a competing interest.

The candidates will interact with predictive policing, and human autonomy and will get to know about the emerging new approaches in the industry to develop their understanding related to all of the concepts (Artificial Intelligence). The candidates will get experienced instructors like Ewa Ludger, Burkhard Schafer, and Morgan Currie from the University of Edinburgh.

The duration of the Data Ethics, AI, and Responsible Innovation certification by Edx is 5 weeks and 3-4 hours of weekly effort needed by the candidate. The video transcript of the Data Ethics, AI, and Responsible Innovation certification course will be in English and the level of teaching will be intermediate. One can find two tracks - audit and verified track which if enrolled into will offer course access. The audit track offers free limited access to the course only for a specific period. On the other hand, the candidates will get verified track access for a lifetime by only paying some amount of money.

This fundamental course focuses on the mathematical approach to networks and optimization issues. This course is presented by edX, a popular online education medium along with the institution of Ecole Polytechnique Federale de Lausanne (EPFL), a top European institution for technology and science. This short intermediate course is provided with a flexible learning system and a comprehensive curriculum which will be under the experienced EPFL professor, Michel Bierlaire. The students can either go for a free audit session with limited benefits or a verified track session with complete Optimization: Principles and algorithms- Network and discrete optimization certification benefits.

The course mainly highlights five different sections: Transhipment, Discrete optimization, Shortest path, Exact methods for discrete optimization, and Networks which will be individually assessed and graded as well. Apart from these key concepts, the syllabus focuses on other important aspects such as modelling, the curse of dimensionality, total unimodularity, network representations, and so on. Two different tracks are available on edX which may be opted for by the students to complete the course. Both the tracks are self-paced but during the verified track, the candidates may access the course for a lifetime by paying some fee. To access the audit track, nothing is charged but the materials will only be accessible for a limited period.

IBM Cloud Essentials certification course covers the basic tenets of IBM cloud. The students in the session will be learning about the many offerings and the services that are available on IBM cloud, making it more secure and accessible to the public along with the enterprises and developers. 

IBM Cloud Essentials online course with the introduction of IBM as a platform goes on to cover topics that include- configuring identity, data center locations, and access management. The students will be further discovering the various infrastructure-as-a-service (IaaS) functions that are available on the platform. The programme will also teach the students about the deployment method including- Kubernetes, Containers, and OpenShift. After completing the IBM Cloud Essentials training certification course students will become familiar with services that include- Watson blockchain, databases, blockchain, artificial intelligence, and others. will make the students efficient cloud practitioners and will help them to develop skills as architects. 

edX has two separate kinds of tracks which may be opted for by the candidates to complete the course. Both the tracks are self-paced but during the verified track, the candidates may see and learn the course for a lifetime by paying some fee. To access the audit track, nothing is charged but the materials will only be accessible for a certain fixed period.

This course by edX has been designed keeping in mind the challenges faced while dealing with data lakes. It can be attributed to the quantum of data and its growth over time. Thus, judicious steps need to be employed to avoid prevalent mistakes. With this aspect serving as a foundation stone, this program will address key challenges.

To begin with, the founding principles of Data Lakes are introduced followed by the organization of the data, which subsequently leads to its refining. The teachings of this program are targeted at professionals such as IT Administrators and Architects who need to design and maintain Data Lakes for a sustainable and scalable future. 

It’s a 5-week programme that seeks student input of 1 to 4 hours per week. This intermediate-level course is presented in English and has the advantage of being self-paced. Thus, working professionals can decide on their choice of learning hours. 1 to 3 years of experience as a Software Engineer is a must. 

This particular course on edX has 2 tracks namely audit and verified both of which is enrolled for shall be completed in may be opted for by a candidate for enrolling. Both the tracks have an instructor-led mode but the audit track offers only limited access to the course materials without any cost and provides no certificate of completion. The verified track offers unlimited access and also offers certification of completion only if the candidates are interested in paying a fee.

Haptic devices are mechanical devices that let the users feel, touch, and control objects in remote or virtual environments. The Introduction to Haptics certification course aims to teach you about haptic technology in detail. You will develop a sense of awareness about the abilities and weaknesses of the human touch, along with learning how to build these mechatronic devices.

Through the learnings of the Introduction to Haptics online programme, you will acquire pragmatic cross-disciplinary engineering skills connected to mechanical engineering, bioengineering, robotics, computer science, and electrical engineering. This course developed by Stanford Online will help you comprehend the linkage between equations that explain physical interplay and how they feel.

The Introduction to Haptics training also offers online quizzes to test your understanding of the concepts. You also have the option to participate in laboratory assignments by using/building a ‘Hapkit.’ This practical approach will give you hands-on experience in testing haptic projects, making circuits, and putting mechanical systems together. 

Edx offers 2 varied tracks which can be used to opt into the course and then they shall be given access either for a limited period of time or the access offered may be unlimited. In the case where the students want unlimited access, they will have to choose the verified track and where they want limited access for free they will have to select the audit track.

A 5 weeks Supercomputing certification course that is supervised by the University of Edinburgh, Partnership for Advanced Computing in Europe (PRACE), SURFsara, and the certification is distributed by FutureLearn. This course covers all the aspects which are technical and are conceptually covered. Supercomputers give Scientists and Engineers an extremely powerful tool for studying the natural world for computer simulation.

With no prior requirement of being able to write computer programs, this weekly Supercomputing certification syllabus is powered by EPCC. Spread over 5 weeks the curriculum covers topics like supercomputers, parallel computers, parallel computing, computer simulation, and also case studies.

Falling under the Information Technology and Computer Science batch of courses, the Supercomputing training teaches how virtual environments can be prepared using supercomputers. This training will offer how one can look real inside of atoms individually so that future climates can be studied, and evolution can follow the full universe from the big bang.

The Using Machine Learning in Trading and Finance online course is providing a platform for the students to learn and study about the basics that are involved in developing advanced strategies that are used in modern machine learning techniques. 

In the online programme on  Using Machine Learning in Trading and Finance by Coursera, the applicants will be studying the key components that are common to all the trading strategies irrespective of the platforms and dimensions. 

In the Using Machine Learning in Trading and Finance certification syllabus, the enrolled students will be covering the comprehensive chapters of-  Regularization: L1, L2, and early stopping, Regularization: dropout, Lab Intro: Keras functional API, Regularization: the basics, Neural networks with Keras functional API, Collect the data, Backtest on unseen data, Selecting a machine learning algorithm, Lab Intro: momentum trading, Creating features, Define the problem, Split the data and others.

The Android Basics: Networking program is designed for beginner-level students which can be accessed through the platform named Udacity. The course is available as a free program. Students who register for this online course will gain valuable insights on how to make apps for android mobiles. The course will be supervised by two industry professionals. The course is carried out on a self-paced basis which makes students decide their study schedules depending upon their preferences. The flexible timings of the program allow the participants to complete the course without any restrictions and deadlines. The Android Basics: Networking certification syllabus of the online program can be completed in the time period of five weeks.

The study material for the entire Android Basics: Networking certification course is already available in the program, however, students are free to use the external reading materials. The students will be able to receive a certification when the entire program is over. The Android Basics: Networking online course also comprises quiz sessions and assessments for students other than the video lectures. In order to join the course, students do not require any specific qualifications or work experience. 

In this data-driven world, cybercrimes are not unknown to anybody. Cyber offenders seamlessly carry out crimes beyond jurisdictions and on an online interface that is likely to trap anybody. Thus, cybersecurity mandates prove to be a golden weapon at the hands of companies and organisations with huge and sensitive databases. Cybersecurity professionals need to be a step further than offenders and henceforth require holistic knowledge of concepts. 

Cybersecurity Compliance Framework & System Administration Certification by Coursera fulfills that requirement and gives course participants the background to understand industry standards and key cybersecurity compliances. The knowledge provided throughout will prove to be beneficial for learners irrespective of the role they wish to partake in an organisation.

Candidates will get a strong grasp of the basic commands for a user and server administration related to security. Endpoint security and patch management have also been sufficiently dealt with. Finally, learners will know more about the in-depth skills around encryption and cryptography to understand their effect on the software. The intended audience of this Cybersecurity Compliance Framework & System Administration training course comprises those wishing to acquire a basic understanding of Compliance, Security Frameworks, endpoint management, cryptography, or encryption.

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 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.

The PyTorch Basics for Machine Learning certification programme is offered by IBM to arm you with the skills for implementing classic machine learning algorithms. You will get to know how PyTorch is used to optimise and create deep learning models. 

During the PyTorch Basics for Machine Learning training, you will learn important models such as linear and logistic regression models. This introductory-level programme will teach you how to train your models and their related concepts like gradient descent, cost and loss.

With the learnings of edX’s PyTorch Basics for Machine Learning course, you will learn to save your training and model in apps like checkpoints, early stopping and cross-validation for hyperparameter selection. Also, basics around the linear object, like their interaction with data with a distinctive number of samples and different dimensions, will be cleared.

The PyTorch Basics for Machine Learning course also includes a final project in the end to assess your skills and performance. You can even get a paid instructor-signed certification after completing the course. The learners also can audit the self-paced programme without paying the fee for a limited duration. 

The Applied Deep Learning Capstone Project certification programme is a five-week-long online course curated by IBM. During this capstone project, you will get practical, hands-on experience in developing, training and testing a Deep Learning model. For this purpose, you will be using either PyTorch or Keras.

edX’s Applied Deep Learning Capstone Project is an advanced-level programme that is also a part of a Deep Learning professional certificate of edX. With the help of this course, you will learn how to preprocess and load data for a real-life problem, create a model and finally validate it. 

The Applied Deep Learning Capstone Project programme by edX requires only two to four hours per week to study. You will learn through video lessons and ultimately master the procedure of generating a Deep Learning pipeline. At last, you are required to present a project report to showcase your competence in the domain of Deep Learning. EdX provides two tracks to pursue the self-paced course; verified and free audit. In the former mode, the learners can access the programme unlimited and get a certificate of completion. In the free mode, they can audit it for a limited duration. 

Training sophisticated Deep Learning models takes plenty of time. The Using GPUs to Scale and Speed-up Deep Learning certification programme sheds light on how accelerated hardware like Nvidia GPU (Graphics Processing Unit) or Google’s TPU (Tensor Processing Unit) can be used to shorten computations time on the cloud.

During edX’s Using GPUs to Scale and Speed-up Deep Learning course, you will understand what accelerated GPU-based hardware is and how it can help you overcome scalability challenges in Deep Learning. You will also get familiar with IBM’s Power Systems with Power AI and Nvidia GPU.

The Using GPUs to Scale and Speed-up Deep Learning will also acquaint you with popular Machine Learning dependencies and learnings supported by Power AI. These include Caffe, Theano, Tensorflow and Torch. Lastly, with this course, you will get practical experience of deploying Deep Learning networks on accelerated hardware for numerous problems, such as classifying videos and images.

A considerable amount of the world’s data is unstructured, including text, sound, images, etc. By joining the Deep Learning with TensorFlow certification course, you will learn how Deep Learning can be applied with TensorFlow to this kind of data and solve real-life problems. You will study the main functions, execution pipeline, basic concepts and operations of TensorFlow.

During the 5-week duration of the Deep Learning with TensorFlow online program, you will explore various kinds of Deep Architectures, like Autoencoders, Recurrent Networks, and Convolutional Networks. Also, you will learn how to implement TensorFlow for backpropagation to adjust the biases and weights while training the neural networks.

With the help of edX’s Deep Learning with TensorFlow course, you will learn how TensorFlow can be used in regression, minimizing error functions, curve fitting and classification. The course offers you free access to its contents for a limited duration and you can also get the option to avail of a professional certificate on completion after paying the prescribed fee. 

The Introduction to Cybersecurity Tools & Cyber Attacks certification course is an online programme that revolves around the topics of cybersecurity. Some of the major topics of the course include terminologies used in cybersecurity, various tools and techniques used in real life, etc. The programme can be availed at zero cost in the audit mode. The course material can be accessed for free along with all the lessons available in the course. 

The Introduction to Cybersecurity Tools & Cyber Attacks online course is a beginners' level programme and does not require any specific academic requirements to get started with the course. The self-paced mode allows the user to understand the concepts thoroughly by giving them the power to choose their study timings with no deadlines to learn from the course as per their requirements. The Introduction to Cybersecurity Tools & Cyber Attacks certification syllabus will take up to 11 hours of the students' time to complete the course. The programme is a hundred percent online training and also provides shareable certification at the end of the course. 

The Deep Learning Fundamentals with Keras online course by edX is designed to familiarise you with the domain of Deep Learning. It is a five-week-long programme, during which you will learn about the basics of various Deep Learning models, the fundamentals of neural networks, and some of the most interesting Deep Learning applications.

Through the Deep Learning Fundamentals with Keras certification course, you will get practical experience, building a Deep Learning model with the powerful and easy-to-use Keras library. Also, you will develop an understanding of unsupervised and supervised Deep Learning models.

The Deep Learning Fundamentals with Keras certification syllabus is divided into four extensive modules. You are required to devote merely two to four hours every week to your studies.  As you progress across the modules, you acquire in-depth knowledge of how Keras is used to train, test and build Deep Learning models. Moreover, you will understand how neural networks learn. Upon completion, you can also get the verified certificate and earn a skill badge to showcase your acquired knowledge if you pursue it by paying free. For free, you can get a limited duration of access to the course. 

The Introduction to Containers programme introduces you to containers and how they differ from virtual machines. The curriculum also covers the significance of containers in cloud computing, along with the proliferating ecosystem of related technologies such as Kubernetes, Docker, Red Hat OpenShift, and Istio.

Throughout the Introduction to Containers course, you will apply what you have learnt with hands-on labs and exercises. From getting started with Docker to scaling and orchestration with Kubernetes, and simplifying deployments with OpenShift, the hands-on labs cover them all. You can access the labs on IBM Cloud and Skills Network Labs environments using your web browser. Moreover, you can access all the programme materials free of cost. 

You will also work on a project at the end of the Introduction to Containers programme. In this project, you will construct a container image and scale and deploy it on the cloud using OpenShift. You can also opt for Coursera’s certificate and improve your employability in this field easily, as everyone from small businesses to large MNCs is transitioning to these platforms.

This Introduction to Data Analytics certification course provides a gentle introduction to data analysis principles, the role of a data analyst, and the techniques used to execute everyday tasks. The enrolled candidate will acquire knowledge of the data environment as well as the foundations of data processing, such as data collection and data mining. This Introduction to Data Analytics training in the course would teach students how to tell the difference between a data engineer, data scientist and data analyst. 

They will understand what a data analyst's duties are and what data analysis entails. In order to attain Introduction to Data Analytics certification at the end, the candidate will be able to compile an overview of the data environment, including databases and data warehouses. Following that, students can learn about the key vendors in the data environment and investigate the different technologies available on-premise and in the cloud. 

Continue on this thrilling trip to learn about Hadoop, Hive, and Spark, as well as other big data platforms. The candidate will begin by studying the basics of data collection and how to classify data sources. They'll then learn how to use visualizations and dashboard software to clean, interpret, and distribute the results. All of this culminates in the final assignment, which will assess their understanding of the course content, discuss what it means to be a Data Analyst, and have a real-world application.

This Excel Basics for Data Analysis certification course is intended to give students a basic understanding of how to use Excel spreadsheets for data analysis. It goes through some of the fundamentals of dealing with spreadsheets and how to use them in data analysis. The Excel Basics for Data Analysis training contains plenty of learning videos, demonstrations, and illustrations, as well as step-by-step instructions for applying and practicing on a live spreadsheet. 

This Excel Basics for Data Analysis certification is appropriate for those interested in pursuing a career in data processing or data science, as well as others who really want to use Excel for data analysis in their own domains. The candidate will gain useful experience cleaning and wrangling data with functions, as well as analyzing data with techniques like filtering, sorting, and constructing pivot tables. 

This Excel Basics for Data Analysis online course begins with an overview of spreadsheets such as Microsoft Excel and Google Sheets, as well as data loading from a variety of sources. Following this introduction, they'll learn how to execute some simple data wrangling and cleaning operations, as well as how to use filtering, sorting, and pivot tables inside the spreadsheet to further your understanding of data analysis. 

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.