1660 Courses and Certifications

Coursera Courses & Certifications 2024

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Certificate

Share Data Through the Art of Visualization

The Share Data Through the Art of Visualization online course is a Google course provided on the Coursera platform. The entire programme lasts 23 hours and has the prospect of a verified certificate. The Share Data Through the Art of Visualization certification syllabus is planned by Google career certificates to enable the candidates to become entry-level data analysts with good knowledge of tools and concepts in data analysis. The programme will be taught over four weeks, beginning with data visualisations, story creation, presentations and slideshow preparation. The course will be delivered in English with English subtitles for learning. To participate in the programme, applicants must meet certain specific prerequisites in the areas of mathematics and algorithms. The  Share Data Through the Art of Visualization by Coursera is designed as an intermediate-level course with adjustable completion deadlines.

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4 Weeks
Beginner
1,169
Skills Covered:
Knowledge of Data Visualization Presentation skills Design thinking Tableau knowledge
A Complete Reinforcement Learning System Capstone

Offered by

University of Alberta, Edmonton , Alberta Machine Intelligence Institute via Coursera
Certificate

A Complete Reinforcement Learning System (Capstone)

The Reinforcement Learning System (Capstone) certification course is a part of the ‘Reinforcement Learning Specialisation’ programme available on Coursera. This course is the 4th and final course in the series and aims to provide the students with complete practical knowledge on how to carry out Reinforcement Learning solutions in the real world.

In the Reinforcement Learning System (Capstone) online course, students will gain well-rounded and application-based skills that will help them in implementing Reinforcement Learning. They will complete the entire Reinforcement Learning problem-solving process – starting with the formulation of a problem, assessing the appropriate algorithm for the problem, and validating the impacts of the algorithm.

The Reinforcement Learning System (Capstone) programme by Coursera is suited for anyone who is expected to perform RL solutions in their field, along with the knowledge of skills like Machine Learning and Reinforcement Learning. The candidates will delve deep into the formalisation of a problem and how to translate it into an MDP. Finally, they will submit their Parameter Study towards the end of the course.

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4 Weeks
Intermediate
6,587
Skills Covered:
Knowledge of Algorithms Machine learning Knowledge of Artificial Intelligence
Natural Language Processing and Capstone Assignment

Offered by

Certificate

Natural Language Processing and Capstone Assignment

Natural Language Processing and Capstone Assignment is an intermediate-level programme on NLP offered by Coursera in association with the University of California, Irvine in the online mode. Natural Language Processing and Capstone Assignment Certification Course is the last course in the Data Science Fundamentals Specialization. The course will help the learners to understand natural language processing(NLP) in great detail and understand its application through a capstone assignment and various natural language processing examples. 

Offered by Coursera, Natural Language Processing and Capstone Assignment Training is jointly developed by Dursun Delen and Julie Pai under the supervision of the Division of Continuing Education of the University of California, Irvine. Natural Language Processing and Capstone Assignment Certification by Coursera is designed in a self-paced mode and can be covered within about 5 hours. By joining the natural language processing course, the students can also get familiar with natural language processing in AI, natural language processing in machine learning and natural language processing Python

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4 Weeks
Intermediate
4,091
Skills Covered:
Natural Language Processing
Trees and Graphs Basics

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Certificate

Trees and Graphs: Basics

The Trees and Graphs: Basics online course is a study of the algorithms and data structures associated with trees and graphs such as tree data structures, binary search trees, self-balancing trees, graph data structures with some fundamental traversal algorithms on graphs. The online program is provided by the online educational platform Coursera and the course curriculum is offered by the University of Colorado Boulder. The course consists of 34 hours of course content that is scheduled for four weeks. The educator for this online training is associate professor Sriram Sankaranarayanan from the University of Colorado Boulder. 

The Trees and Graphs: Basics is part of the ‘Data Science Foundations: Data Structures and Algorithms Specialization’ and the Master of Science in Data Science(MS-DS) degree hence this online course can be taken for the MS-DS degree. This advanced-level program enables the students to utilize flexible deadlines for convenience to complete the course and a shareable course certificate after course completion.

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4 Weeks
Expert
4,091
Skills Covered:
Knowledge of Algorithms Data science knowledge Programming skills Knowledge of Python
Divide and Conquer, Sorting and Searching and Randomized Algorithms

Offered by

Certificate

Divide and Conquer, Sorting and Searching, and Randomized Algorithms

The Divide and Conquer, Sorting and Searching, and Randomized Algorithms certification is a course that is provided by Coursera in association with Stanford University. This is a very short course that teaches the candidates regarding algorithms which is considered as the mainstream of Computer Science where algorithms can be used in practical applications.

The Divide and Conquer, Sorting and Searching, and Randomized Algorithms certification syllabus tends to cover introductory aspects of algorithms with some amount of programming exercises. This course belongs to course number one on the algorithms specialization which gives the conceptual learning for elementary level of mathematics and its implementation.

Divide and Conquer, Sorting and Searching, and Randomized Algorithms training is an intermediary level course that will help the candidates become strong with their technical skills so that they are able to speak well regarding algorithms with other Computer Programmers confidently.

Also Read:
Algorithms Certification Courses

...Read More
4 Weeks
Intermediate
4,085
Skills Covered:
Knowledge of Algorithms
Introduction to C Sharp Programming and Unity

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Certificate

Introduction to C# Programming and Unity

Introduction to C# Programming and Unity is an independent course available on the Coursera platform which helps you learn from scratch about how to develop video games with C# programming language along with using the Unity game engine on your Mac or Windows. The course is not at all authorized or sponsored by Unity Technologies or its affiliates.

C# is preferred as a learning computer language, for knowing how to program and entering into professional programming.

The course helps you to learn in-depth about core programming concepts that apply to C# along with different programming languages. The learners will understand how to apply these concepts while developing games.

With the Introduction to C# Programming and Unity Course, they will also get to know about the ideal path they need to learn to code and clear their fundamentals by building small games and applications.

India is touted to be a highly scalable market for the gaming industry in the next couple of markets and there is no better time than now to not just enroll and learn something new, but also gain a skill that can help you be a part of the growth story as India’s first homegrown gaming giant.

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4 Weeks
Beginner
3,251
Skills Covered:
Programming skills
Computational Thinking with Beginning C Programming Specialization

Offered by

Certificate

Computational Thinking with Beginning C Programming Specialization

Computational thinking is a problem-solving process this includes a number of dispositions and characteristics. CT is essential to the development of computer applications, besides this, it can also be used to support problem-solving across all disciplines, this includes math, science, and the humanities. C programming is the foundational computer programming language that is widely used in technology and helps in building applications. The Computational Thinking with Beginning C Programming Specialization course is a combo course that provides knowledge and skills in computational thinking and C programming. 

Computational Thinking with Beginning C Programming Specialization certification course is offered by the University of Colorado and Coursera for learners who are keen to be a part of this domain. This is a beginner-friendly, self-paced course that can be completed in approximately 4 months. The course comprises 4 courses that ensure the overall development of the learner. If the learner is unable to afford the course, he or she shall get financial aid from Coursera. The learner shall also receive Computational Thinking with Beginning C Programming Specialization certification by Coursera. 

...Read More
4 Weeks
Beginner
4,093
Skills Covered:
Programming skills
Introduction to R Programming and Tidyverse

Offered by

Certificate

Introduction to R Programming and Tidyverse

4 Weeks
Beginner
4,091
Getting Started with Go

Offered by

Certificate

Getting Started with Go

The course, “Getting Started with Go” is intended for people with previous programming expertise utilising languages such as C, Python, or Java, and covers the elemental components of Go. Topics embody the various types of data, protocols, formats, and writing code that comes with RFCs and JSON. Most significantly, you’ll have an opportunity to follow and try writing Go programs and receive feedback from your peers. Upon finishing this course, you will be able to implement easy Go programs, which can prepare you for the ensuing study at a greater and advanced level.

The programming language Go is an open-source project to assist programmers in being much more productive.

Go is communicative, concise, clean, and economical. Its concurrency mechanisms facilitate the process of jotting down programs that get the maximum out of multicore and networked machines, whereas its novel kind of system allows versatile and standard program construction. Go compiles quickly to machine code, and nevertheless,  has the convenience of waste storage and also the power of run-time reflection. It is a quick, statically written, compiled language that appears to be a dynamically written and understood one. 

...Read More
4 Weeks
Intermediate
4,085
Skills Covered:
Programming skills
Certificate

Writing, Running, and Fixing Code in C

Offered by Duke University, the Writing, Running and Fixing Code in C Programme, is ideal for professionals interested in learning and mastering the basics of programming language. The need of the hour, coding is one of the most sought after areas that is always and will remain in trend. Understanding the key requisites of the corporate world, the programme will enable candidates to learn and master different skills namely, debugging, compiler, C Programming and many others. The programme is a beginner level programme and can be pursued by professionals keen on learning to code. To make it easy, the programme is also accessible in different languages apart from English. The candidate will learn about planning algorithms, compiling and thereafter running it. The programme offers a certificate in the end if successfully completed.

...Read More
4 Weeks
Beginner
4,085
Skills Covered:
Programming skills
Certificate

Introduction to Probability and Data with R

Introduction to Probability and Data with R certification is a small-term course that is offered by Duke University, and the certification is guaranteed by Coursera. This is an online course that is presented during a time period of 5 whole weeks in a total span of 14 hours. With this certification course, candidates will be becoming familiar with ways to sampling, and data exploration. 

Introduction to Probability and Data with R training falls under the course specialization of Statistics with R and is the first course in this specialization. Coming with subtitles in 10 languages, this course is a beginner or introductory level programme. Learners will be tested with both lab exercises, for correctly grasping the entire knowledge. Whatever techniques shall be taught will be acting as the building blocks for other courses present in the Specialization. All this will lead the students to pursue careers as data scientists, or statistical analysts.

...Read More
4 Weeks
Beginner
4,085
Skills Covered:
Statistical skills R Programming
Certificate

Programming Fundamentals

Programming Fundamentals certification is an online course, conducted for 4 weeks, is prepared by Duke University and is offered by Coursera. This course is the first part of the specialization, Introductory C Programming Specialization which focuses on programming essentials, the skills of which are necessary for making a career in software development or other fields.

Programming Fundamentals training is extended for students in different subtitles like English, Spanish, German, French, and more. This certification course will be teaching the participants fundamental programming activities like analysing, understanding, generating the algorithms, requirement verification, implementation of algorithms, and other resource consumption. With this course completion certificate, participants can develop certain algorithms along with reading programming codes, and also relate algorithms to programming. 

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4 Weeks
Beginner
4,053
Skills Covered:
Problem Solving Ability Programming skills Knowledge of Algorithms
Certificate

An Introduction to Interactive Programming in Python (Part 2)

An Introduction to Interactive Programming in Python (Part 2) is the second out of seven courses constituting the Fundamentals of Computing Specialization Programme. The 100% online course introduces learners to the basic steps involved in building interactive applications using the Python programming language.

An Introduction to Interactive Programming in Python (Part 2) Certification Course is a beginner level course provided by the faculty of Rice University. The course instructors are Joe Warren, Scott Rixner, John Greiner and Stephen Wong belonging to the Department of Computer Science. The course helps learners make use of their programming skills to develop creative games and applications.

An Introduction to Interactive Programming in Python (Part 2) is a self-paced course taught with the help of informative course videos and academic readings along with practice quizzes, graded assignments, exams and programming tasks. Upon the successful completion and the payment of the course fee, candidates will receive a shareable digital certificate.

...Read More
4 Weeks
Beginner
4,053
Skills Covered:
Programming skills
Principles of Secure Coding

Offered by

Certificate

Principles of Secure Coding

The Principles of Secure Coding certification course by Coursera takes around 15 hours to finish. The supporting institute that has designed the syllabus for this intermediary level, of course, is UC Davis, University of California. This course is part 1 of the main programme the Secure Coding Practices Specialization. The course gives an introduction to the principles of different programming languages which are secure.

The Principles of Secure Coding training begins with discussing the different principles, and philosophies of programming which is secure. These students will be presented with a robust programming language and taught the relationship between different security programs. These candidates shall be experiencing how design choices can be made based on the implementation in coding. This course may be more understandable if the candidates have prior background in C, Java, or C++.

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4 Weeks
Intermediate
3,256
Skills Covered:
Software development skills
Exploiting and Securing Vulnerabilities in Java Applications

Offered by

Certificate

Exploiting and Securing Vulnerabilities in Java Applications

The Exploiting and Securing Vulnerabilities in Java Applications certification course is course number four of the Secure Coding Practices Specialization main course that is offered together with the efforts of the University of California, UC Davis, and provider, Coursera. This certificate course will help one learn instantly with flexible schedules and deadlines that help all the candidates. 

The Exploiting and Securing Vulnerabilities in Java Applications training course will help the candidates with Java, and programming. During this programme’s course of study, the candidates will be taught to wear different kinds of hats like attacker hats, defender hats, and other hats so that vulnerabilities can be identified.

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4 Weeks
Intermediate
3,256
Skills Covered:
Java Knowledge of Cyber Security
Identifying Security Vulnerabilities in C C++ Programming

Offered by

Certificate

Identifying Security Vulnerabilities in C/C++Programming

The Identifying Security Vulnerabilities in C/C++Programming certification course is course number three of the Secure Coding Practices Specialization main course jointly offered by the University of California, UC Davis, and provider, Coursera. The main aim is actually to develop a basis of coding practices for the students.

The Identifying Security Vulnerabilities in C/C++Programming training course will help in learning the techniques of coding, and programming. These techniques will have a special focus on teaching the candidates to think about what should be watched out for, and also where exactly they should look for evaluating the fragile library of C++, and its codes. Also, as soon as the learning has been completed, and done, a shareable completion certificate is presented.

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4 Weeks
Intermediate
3,257
Skills Covered:
Programming skills
Specialized Models Time Series and Survival Analysis

Offered by

Certificate

Specialized Models: Time Series and Survival Analysis

By taking up the Specialized Models: Time Series and Survival Analysis online course the students will be working on the ways to identify the modelling challenges that are common within the domain of time series data. The course will further be helping to understand the process of how trends are gauged and accessed in a time series of data. In the Specialized Models: Time Series and Survival Analysis certification syllabus the students will be covering chapters on- Identifying Nonstationarity, Common Transformations, Smoothing Moving Averages, Time Series Smoothing, Deep Learning Notebook, Survival Analysis and Censoring and others. The online course on Specialized Models: Time Series and Survival Analysis by Coursera will be elaborating on the domains of “time-series data” and will be working on its applications.

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4 Weeks
Intermediate
Free
Skills Covered:
Knowledge of deep learning
AI Capstone Project with Deep Learning

Offered by

Certificate

AI Capstone Project with Deep Learning

The AI Capstone Project with Deep Learning certification course provides an advanced level of training to all its participants. The programme is within the reach of the students at no cost as it can be accessed for free in the audit mode. The course is made accessible to every aspirant through the platform Coursera. Students who enrol for this hundred per cent online training will be able to gain a deep understanding of AI

The course revolves around the topics of preprocessing data, building a model, validity of a model, etc. The programme is a part of a course named IBM AI Engineering that is also a Coursera programme and is in association with IBM. The curriculum of the AI Capstone Project with Deep Learning online course is managed by two industry experts that will help the students understand the concepts. 

The course material of the subject also provides hands-on experience through projects. Along with the projects, it includes quizzes, assignments, practises exercises, etc. The course does not have any restrictions with respect to admission eligibility criteria, deadlines, or attendance. The content of the AI Capstone Project with the Deep Learning certification syllabus is divided into 4 weeks and can be completely finished in around 16 hours. If the student is able to complete the course in the fixed time he or she will be able to achieve a certificate at the end of the programme.

...Read More
4 Weeks
Expert
4,091
Skills Covered:
Machine learning Knowledge of Artificial Intelligence Knowledge of Python Knowledge of Algorithms
AWS Fundamentals Migrating to the Cloud

Offered by

Certificate

AWS Fundamentals: Migrating to the Cloud

The AWS Fundamentals: Migrating to the Cloud programme by Coursera is an intermediate-level course offered by Amazon Web Services (AWS) experts. It is designed to teach you about concepts related to migrating workloads to the cloud.

During the four-week-long duration of the AWS Fundamentals: Migrating to the Cloud online course, you will gain valuable insights into planning your migration, analysing the current environment and the AWS services used for migration. Also, you will get familiar with the practical migration steps.

Coursera’s AWS Fundamentals: Migrating to the Cloud online course offers industry-standard learning content in the form of video lectures by experienced instructors, peer-graded assignments, quizzes, reading material, programming assignments and performance feedback.

The AWS Fundamentals: Migrating to the Cloud training also offers optional hands-on labs. Moreover, you will be provided documentation links that have code samples and example applications of Cloud computing. You can also earn a digital certificate after the course completion. 

...Read More
4 Weeks
Intermediate
3,225
Skills Covered:
Knowledge of AWS Technology Knowledge of cloud computing

Offered by

Swiss Federal Institute of Technology Lausanne via Coursera
Certificate

Big Data Analysis with Scala and Spark

Big Data Analysis with Scala and Spark is an online course offered by Coursera that has been taken by 93,905 learners so far. The certificate programme is part of the 5-course Functional Programming in Scala Specialization which is administered by cole Polytechnique Fédérale de Lausanne (EPFL). Big Data Analysis with Scala and Spark Certification Course is prepared and delivered by Prof. Heather Miller who is an assistant professor at Carnegie Mellon University. 

Offered by Coursera, Big Data Analysis with Scala and Spark Training will provide a thorough understanding of big data analysis with the help of Spark and Scala, Scala Programming, SQLBig DataApache Spark, the programming model of Spark, and many more.  Big Data Analysis with Scala and Spark Certification by Coursera will also provide a practical understanding of Spark and Scala with hands-on examples. 

...Read More
4 Weeks
Intermediate
4,091
Skills Covered:
Programming skills Knowledge of Apache Spark Knowledge of Big Data SQL knowledge
Hypothesis Driven Development

Offered by

Certificate

Hypothesis Driven Development

4 Weeks
6,596
Android App Components - Intents, Activities, and Broadcast Receivers

Offered by

Certificate

Android App Components - Intents, Activities, and Broadcast Receivers

Today, we live in the Information Age, where the growth of information and technology is exponential. World over, the telecom sector has observed an unfathomable growth. The number of mobile phone users has been increasing significantly, which includes a large chunk of smartphone users. Smartphones, a prime symbol of today’s technological era, allow us to communicate efficiently and provide access to information in a jiffy. All this is facilitated by mobile applications, most commonly known as apps, which have become an indispensable part of our lives today.

Android Apps have acquired an important share in the mobile app market. This is majorly due to its simple, user-friendly and highly productive characteristics. Being an open source, the Android platform provides plenty of opportunities for developers to create innovative apps with minimum cost. This is the reason why Android app development serves to be a lucrative option among mobile app developers.

The Android App Components- Intents, Activities and Broadcast Receivers Offerings certification course by Coursera is specifically designed for aspiring as well as existing developers seeking to gain learning on core components of Android Apps. The course will provide in-depth learning of Android Intents, Activities and Broadcast Receivers, which form the core components of android apps. Participants will also be given exposure to fundamentals of Java I/O, Git basics and concurrent programming. The Android App Components- Intents, Activities and Broadcast Receivers Offerings certification course will be delivered through 100% online mode with video lectures, discussions, readings and assignments by excellent professors and scientists.

...Read More
4 Weeks
4,085
Skills Covered:
Java Knowledge of Android Software Development Programming skills
Certificate

Open Source Software Development Methods

Open source community projects produce open source software using a technique known as an open source development methodology. Open source software is designed in a manner that makes it available to everyone. These software products come with their source code and can be modified and improved upon underneath an open-source license. The Open Source Software Development Methods online certification was designed by The Linux Foundation and is delivered by Coursera with instruction provided by Jerry Cooperstein, a Certified Instructor.

 Open Source Software Development Methods online course aims to teach the students about the best practices, how to promote diversity in open source software, and how to work in open source projects successfully by obtaining a lot of practical understanding. Open Source Software Development Methods online classes also teach about the principles of proprietary software, open source software, OSS licensing, continuous integration, pragmatism, idealism, and more.

...Read More
4 Weeks
Beginner
4,093
Skills Covered:
Software development skills Knowledge of Linux

Offered by

Certificate

Test-Driven Development Overview

The Test-Driven Development Overview certification course is offered online by Coursera in association with Learn Quest. The programme covers the topics of TDD or test-driven development, what is it, where it needs to be applied, and how it should be applied, etc. The course is a self-paced programme that allows students to pursue the course on their own terms and conditions. Since the Test-Driven Development Overview online course includes Python programming, it demands that students have a basic understanding of the same. 

The programme includes study materials within the course, such as video sessions, readings, practice papers, quizzes, and assessments, etc. The Test-Driven Development Overview certification syllabus consists of 17 video lectures and various reading materials along with practice papers or exercises that can be completed in around 14 hours. The programme also offers certification upon completing the course by the students if they have subscribed to the course.   

...Read More
4 Weeks
Intermediate
4,093
Skills Covered:
Programming skills Knowledge of Python
Intel Network Academy - Network Transformation 102

Offered by

Certificate

Intel® Network Academy - Network Transformation 102

The Intel® Network Academy - Network Transformation 102 programme is a comprehensive four-week training course on network transformation. In this programme, we will be covering the topics belonging to areas of network functions virtualisation (NFV), software-defined infrastructure (SDI), software-defined networking (SDN), and beyond.

Intel® Network Academy - Network Transformation 102 course also covers topics such as cryptography, hyper scan technology, and VNF operations & development. Moreover, you will also dive into the benefits of Intel software and hardware and discover how to accelerate compute-intensive processes using Intel® QuickAssist Technology (Intel® QAT).

Besides, the Intel® Network Academy - Network Transformation 102 training will also cover other open sources standards like DPDK and FD.io. The course material will be made available through video lectures mentored by expert faculty, along with practice exercises. By paying an additional fee, you can also get the completion certificate, which you can use to display your skills and land lucrative jobs.

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4 Weeks
Beginner
Free
Certificate

Introduction to Automated Analysis

The Introduction to Automated Analysis Online Course is an intermediate level course and third course out of the four-course series, Software Testing and Automation Specialization. The 100% online course available on the Coursera platform introduces learners to state-of-the-art systems and techniques for automated analysis. 

The Introduction to Automated Analysis Certification Course helps learners in understanding the approaches of automated analysis in generating tests and checking for defects in the software that could lead to security issues. The course is taught by Mike and Kevin Wendt, Department of Computer Science and Engineering from The University of Minnesota.

The Introduction to Automated Analysis Live Course is delivered through expert video lectures, academic readings and practice exercises. The course can be set to flexible deadlines according to the learner's schedule. After completion of the course, you will gain a shareable certificate of completion.

...Read More
4 Weeks
Intermediate
4,093
Skills Covered:
Programming skills Software development skills Automation skills

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Certificate

Scrum Master Certification Practice

4 Weeks
Beginner
Free
Agile Meets Design Thinking

Offered by

Certificate

Agile Meets Design Thinking

4 Weeks
Beginner
6,596
Introduction to Agile Development and Scrum

Offered by

Certificate

Introduction to Agile Development and Scrum

4 Weeks
Beginner
4,093
Everyday Excel Part 1

Offered by

Certificate

Everyday Excel, Part 1

The Everyday Excel, Part 1 programme is highly suitable for candidates who want to understand and learn the functionalities of excel. While the certification course is primarily designed for first-timer learners, advanced excel users can surely learn some new skills and tools. Moreover, the Everyday Excel, Part 1 online course is the first part of a three-course structure.

The Everyday Excel, Part 1 training course is a 5-week programme, in which candidates learn a wide variety of tools and techniques of an advanced level, which will help you navigate around the Excel system efficiently. You will learn how to edit and format excel worksheets and implement essential, as well as advanced excel functions, such as financial, text, and logical functions.

Moreover, Charlie Nuttleman instructs the Coursera Everyday Excel, Part 1 programme, while the University of Colorado Boulder, which is known for its superior academic quality, offers the course. Finally, once candidates finish the training course successfully, they receive a course completion certificate from Coursera.

...Read More
4 Weeks
Beginner
4,085
Skills Covered:
Knowledge of Data Visualization Knowledge of Excel

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