149 Courses and Certifications

IBM Courses & Certifications 2025

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Applied Data Science Capstone

Offered by

Certificate

Applied Data Science Capstone

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. 

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5 Weeks
Intermediate
3,384
Skills Covered:
Data science knowledge Knowledge of Python
Cybersecurity Compliance Framework and System Administration

Offered by

Certificate

Cybersecurity Compliance Framework & System Administration

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.

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5 Weeks
Intermediate
3,384
Skills Covered:
Knowledge of Cyber Security
Introduction to Cybersecurity Tools and Cyber Attacks

Offered by

Certificate

Introduction to Cybersecurity Tools & Cyber Attacks

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. 

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5 Weeks
Beginner
3,384
Skills Covered:
Knowledge of Cyber Security
Introduction to Deep Learning and Neural Networks with Keras

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Certificate

Introduction to Deep Learning & Neural Networks with Keras

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. 

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5 Weeks
Intermediate
3,369
Skills Covered:
Machine learning Knowledge of Artificial Intelligence Knowledge of deep learning
PyTorch Basics for Machine Learning

Offered by

IBM via Edx
Certificate

PyTorch Basics for Machine Learning

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. 

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5 Weeks
Beginner
Skills Covered:
Machine learning Knowledge of deep learning Knowledge of Numpy
R Programming Basics for Data Science

Offered by

IBM via Edx
Certificate

R Programming Basics for Data Science

5 Weeks
Beginner
Free
Excel Basics for Data Analysis

Offered by

Certificate

Excel Basics for Data Analysis

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. 

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5 Weeks
Beginner
3,384
Skills Covered:
Data science knowledge Knowledge of Excel
NoSQL Database Basics

Offered by

IBM via Edx
Certificate

NoSQL Database Basics

5 Weeks
Beginner
Free
Introduction to NoSQL Databases

Offered by

Certificate

Introduction to NoSQL Databases

5 Weeks
Beginner
4,117
Applied Deep Learning Capstone Project

Offered by

IBM via Edx
Certificate

Applied Deep Learning Capstone Project

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. 

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5 Weeks
Expert
Skills Covered:
Statistical skills Data science knowledge Knowledge of deep learning
Using GPUs to Scale and Speed-up Deep Learning

Offered by

IBM via Edx
Certificate

Using GPUs to Scale and Speed-up Deep Learning

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.

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5 Weeks
Intermediate
Skills Covered:
Knowledge of Artificial Intelligence Knowledge of deep learning
Deep Learning Fundamentals with Keras

Offered by

IBM via Edx
Certificate

Deep Learning Fundamentals with Keras

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. 

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5 Weeks
Intermediate
Skills Covered:
Knowledge of deep learning
Building ETL and Data Pipelines with Bash Airflow and Kafka

Offered by

IBM via Edx
Analyzing Data with Excel

Offered by

IBM via Edx
Certificate

Analyzing Data with Excel

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.

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5 Weeks
Beginner
Skills Covered:
Knowledge of Excel
Introduction to Containers, Kubernetes and OpenShift

Offered by

IBM via Edx
Certificate

Introduction to Containers, Kubernetes and OpenShift

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.

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5 Weeks
Intermediate
Skills Covered:
Knowledge of cloud computing
Introduction to Data Analytics

Offered by

Certificate

Introduction to Data Analytics

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.

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5 Weeks
Beginner
3,384
Skills Covered:
Data science knowledge Knowledge of Excel
Data Analytics Basics for Everyone

Offered by

IBM via Edx
Certificate

Data Analytics Basics for Everyone

5 Weeks
Beginner
Free
Analyzing Data with Python

Offered by

IBM via Edx
Certificate

Analyzing Data with Python

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. 

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5 Weeks
Beginner
Free
Skills Covered:
Knowledge of Python Decision making skills Machine learning Statistical skills Knowledge of Data Visualization
Deep Learning with Tensorflow

Offered by

IBM via Edx
Certificate

Deep Learning with TensorFlow

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. 

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5 Weeks
Intermediate
Skills Covered:
Statistical skills Knowledge of deep learning
Developing Applications with SQL, Databases and Django

Offered by

Certificate

Developing Applications with SQL, Databases, and Django

Accessing, processing, and presenting data are the essentials of application development. Data is usually stored in databases, either on the cloud or on-premise. Developers need to learn how to access this data via programming languages. The Developing Applications course by edX will help you get comfortable with these programming languages and introduce you to various fundamental database concepts.

The Developing Applications course starts with SQL, a powerful yet simple programming language for managing and querying data. You will also engage in hands-on cloud database experiments. Besides SQL, the course also covers other software like Django, using which you will create a full-blown web app that can persist, present, and process data.

With the Developing Applications programme, you will also learn how to work with databases using object-oriented programming through Object-Relational Mapping (ORM). All the information will be provided through video lectures, assignments, and readings. There’s also a certificate option available if you wish to showcase your skills and advance your career.

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5 Weeks
Intermediate
3,384
Skills Covered:
SQL knowledge Web application development skills
Introduction to Cloud Development with HTML, CSS JavaScript

Offered by

Certificate

Introduction to Cloud Development with HTML, CSS, JavaScript

The Introduction to Cloud Development with HTML, CSS, JavaScript online course is an IBM-based programme that has been created to help a candidate become a full-fledged cloud application engineer in the future.  The Introduction to Cloud Development with HTML, CSS, JavaScript syllabus will focus its curriculum on much of the new-age tools and languages used in the development of cloud-based applications. 

The course will cover languages that are used in front-end development such as CSS, HTML and JavaScript and learn tools that are used to keep track of project changes such as GitHub and Git. This certification is a part of multiple programmes namely IBM full-stack cloud developer professional certificate and cloud application development foundations specialization. The Introduction to Cloud Development with HTML, CSS, JavaScript by Coursera is taught by Upkar Lidder, a senior software engineer with the help of IBM resources. The course is in the online Coursera platform and can be completed within a total duration of 13 hours with a flexible schedule. 

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5 Weeks
Beginner
3,384
Skills Covered:
Web application development skills
Developing Cloud Apps with Node.js and React

Offered by

Certificate

Developing Cloud Apps with Node.js and React

The online session on Developing Cloud Apps with Node.js and React by Coursera will be offering an opportunity to the students to work on real-life examples in the domain of developing cloud apps. In the course, the students will be elaborating more on the server-side Javascript and the frameworks that are related to it. Upon completing the Developing Cloud Apps with Node.js and React training the students will have their skills strengthened in developing efficient web browsers. Over the period of fourteen hours the Developing Cloud Apps with Node.js and React certification syllabus will be dealing with topics namely- Working with JSON, Asynchronous I/O with callback programming, IBM cloud monitoring with LogDNA and Sysdig, Testing cloud applications, Creating callback functions, Introduction to logging and others.

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5 Weeks
Intermediate
Free
Skills Covered:
Knowledge of cloud computing
Exploratory Data Analysis for Machine Learning

Offered by

Certificate

Exploratory Data Analysis for Machine Learning

5 Weeks
Intermediate
3,277
Introduction to Containers Docker, Kubernetes and OpenShift

Offered by

Certificate

Introduction to Containers w/ Docker, Kubernetes & OpenShift

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.

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5 Weeks
Intermediate
3,384
Skills Covered:
Knowledge of cloud computing
Site Reliability Engineering Capstone

Offered by

IBM via Edx
Certificate

Site Reliability Engineering Capstone

4 Weeks
Intermediate
Free
Cybersecurity Roles, Processes and Operating System Security

Offered by

Certificate

Cybersecurity Roles, Processes and Operating System Security

Cybersecurity Roles, Processes & Operating System Security programme is offered by IBM with a motive to make the people smarter as the world is getting digital. Through this programme, candidates would understand the key importance of cybersecurity in any organization. They will learn about the challenges faced by the organization in the Modern era and also how to overcome such challenges. The programme is appropriate for the candidates who aspire to work in the field of Cybersecurity as a Jr Cybersecurity Analyst.  

The course is inclusive of multiple programmes or specializations. Apart from cybersecurity, Coursera has introduced the concept of virtualization and it’s relevancy for cybersecurity. In 4 weeks, the candidates will have an understanding of Operating System Security and Cybersecurity roles & processes. They will also learn about the working of cybersecurity in different operating systems like Mac/OS, Mobile, Windows, and Linux. 

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4 Weeks
Beginner
4,085
Skills Covered:
Knowledge of Linux
Basic Network and Database Security

Offered by

IBM via Edx
Certificate

Basic Network and Database Security

The Basic Network and Database Security course will give you the background needed to understand network security basics. This training will cover various computer network topics, including Local Area Networks, the OSI Framework, TCP/IP, and routing basics. You will also learn how networking affects an organization’s security systems and how network security controls guard an organization against security attacks.

In addition to networking, the Basic Network and Database Security course curriculum also covers various database vulnerabilities and the knowledge/tools needed to research database vulnerability. In this section, multiple databases are covered, including Oracle, SQL Injection, Couch, and Mongo. Ultimately, this course enables you to safeguard your organization’s sensitive data against loss from cyber attacks.

The Basic Network and Database Security programme is entirely free of cost for enrolment. However, you can also add a verified certificate by paying a fee. Spanning four weeks, it is an introductory course in the field of computer science and a part of the IBM Cybersecurity Fundamentals Professional Certificate programme. Edx offers 2 tracks which are audit and verified tracks. Both the tracks are offered in the self-paced mode. While in the free audit track, the candidates will be able to only study and access the materials for a certain period of time. In case the students choose the verified track, they will have an unlimited period of time to check out and learn the course.

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4 Weeks
Beginner
Skills Covered:
Knowledge of Cyber Security
Data Visualization and Dashboards with Excel and Cognos

Offered by

Certificate

Data Visualization and Dashboards with Excel and Cognos

The IBM curriculum developed Data Visualization and Dashboards with Excel and Cognos online course helps the candidates to learn data visualization and dashboard creation using tools such as Excel and Cognos Analytics. The programme is planned to run for four weeks with a final hands-on project in the last week of planning. The Data Visualization and Dashboards with Excel and Cognos syllabus is planned for a duration of 15 hours with a beginner level difficulty. The programme helps the candidates who do not have a strong foundation in data analysis, programming or coding to learn data visualization and dashboard formation in an easy hands-on way. The candidate pursuing Data Visualization and Dashboards with Excel and Cognos by Coursera will be instructed by three seasoned experts from IBM and SkillUp Technologies in the area of data analytics and visualization. The candidates who complete the programme successfully will be awarded a verified certificate from Coursera medium.

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4 Weeks
Beginner
3,384
Skills Covered:
Data science knowledge Knowledge of Data Visualization Knowledge of Excel
Data Visualization and Building Dashboards with Excel and Cognos

Offered by

IBM via Edx
Visualizing Data with R

Offered by

IBM via Edx
Certificate

Visualizing Data with R

4 Weeks
Beginner
Free

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