1661 Courses and Certifications

Coursera Courses & Certifications 2025

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Certificate

Everyday Chinese Medicine

Intermediate
Free
Hearing Loss in Children

Offered by

Certificate

Hearing Loss in Children

Intermediate
Free
Capstone Retrieving, Processing and Visualizing Data with Python

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Certificate

Capstone: Retrieving, Processing, And Visualizing Data With Python

In the Capstone: Retrieving, Processing, and Visualizing Data with Python Programme, learners will explore all the fundamentals of visualising, processing and retrieving data using Python programming language. Projects will comprise all elements of the specialisation. The first part of the course will focus on acquainting students with present technologies and giving them enough knowledge to work on their own projects and visualise other data. 

This course covers Python 3 and deals with skills like Python Programming, Database (DBMS), Data Analysis and Data Visualization (DataViz) amongst everything else. It is a part of Python for Everybody Specialization course offered by the University of Michigan, thus honed by experts who have worked in the present field for years and brought their valuable insights and takeaways from the current domain for the candidates.

Besides this, the curriculum will also brief course takers with basic concepts surrounding programming, namely- networked application program interfaces, data structures and databases, all using Python which holds extreme significance in Data Analysis and Data Science.

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Beginner
3,369
Skills Covered:
Database Management Knowledge of Python Knowledge of Data Visualization
Introduction to Data Science in Python

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Certificate

Introduction to Data Science in Python

Introduction to Data Science in Python is an online certification programme provided by the University of Michigan and available on Coursera which is one of the five specializations of Data Science. Thus, this course must be pursued prior to the other course in the specialisation i.e  Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, and  Applied Social Network Analysis in Python. Learners will be able to study data science in Python in greater depth with the tutelage of experienced instructors. 

Introduction to Data Science in Python Certification, accessible on the platform of Coursera, will expose the candidates to basic techniques of Python programming such as lambdas, reading the CSV files, and the NumPy library and python programming environment. By enrolling in the Introduction to Data Science in Python Online Course, the learner will develop the capacity to deal with tabular data and manipulate it along with running the fundamental inferential statistical analyses. 

Introduction to Data Science in Python Certification by Coursera will shed light on data manipulation, and the process of using the group by and pivot tables in an effective fashion. Introduction to Data Science in Python Certification Syllabus will help the students explore the cleaning techniques using the popular python pandas data science library and usage of the Series and DataFrame for data analysis and many more. 

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Intermediate
4,117
Skills Covered:
Data science knowledge Knowledge of Python
Greedy Algorithms Minimum Spanning Trees and Dynamic Programming

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Certificate

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming is an online programme provided by Stanford University that will help the learners to have a solid understanding of greedy algorithms and dynamic programming.  Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming Certification Syllabus will walk the student through many concepts including scheduling, minimum spanning trees, knapsack, sequence alignment, and the like. 

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming Certification Course, offered by Coursera, is an intermediate course that is the third in the four courses of Algorithms Specialization. Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming Certification by Coursera is structured in a fashion in which the students can decide the deadline on their own and can be completed within about 14 hours. 

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Intermediate
4,117
Skills Covered:
Programming skills Knowledge of Algorithms
Introduction to R Programming and Tidyverse

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Certificate

Introduction to R Programming and Tidyverse

Beginner
4,117
Interactivity with JavaScript

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Certificate

Interactivity with JavaScript

Interactivity with JavaScript is prepared and administered by the University of Michigan to train the candidates on upgrading the websites by incorporating interactivity with the help of programming languages such as HTML5 or CSS3, and JavaScript. The Interactivity with JavaScript Certification Syllabus will shed light on various concepts such as variables, looping, functions, etc. 

Interactivity with JavaScript Certification, made available by Coursera, will expose the learners to numerous aspects of Javascript including Document Object Model (DOM), tools for debugging, and the like. Interactivity with JavaScript Certification by Coursera is the third course in  Web Design For Everybody specialization. 

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Beginner
4,117
Skills Covered:
Web application development skills
The R Programming Environment

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Certificate

The R Programming Environment

We are witnessing and adapting to the fourth industrial revolution, Industry 4.0, powered by Big Data and AI. At the global level, data integration has become highly essential for organisations and businesses to achieve global competitiveness. With the prevalence of Big Data all around, it becomes highly relevant to explore the underlying information and reap optimum rewards. In this scenario, data science and analytics enable decision-makers and business leaders to understand, manage and utilise data effectively.

R is a free, open-source programming language that is widely used by data scientists and analysts for developing software and applications in a data science setting. R offers tools and techniques for data analysis, statistical computations and data visualisation. R is available to use on various operating systems and is widely recognised for its extensibility, which allows developers to develop and distribute their own software as add-on packages. These features make R programming an ideal choice for data science experts and data analysts to utilise R in a variety of fields and areas.

The R Programming Environment online certificate course offered by Johns Hopkins University via the Coursera platform aims at providing useful knowledge of R Programming Language to data scientists, data analysts and data science experts to efficiently work in data science settings. This 100% online programme is of intermediate level and the first course in the Mastering Software Development in R specialisation.

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Intermediate
3,369
Skills Covered:
R Programming
Excel Basics for Data Analysis

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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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Beginner
4,115
Skills Covered:
Data science knowledge Knowledge of Excel
Certificate

Programming Foundations with JavaScript, HTML and CSS

The Programming Foundations with JavaScript HTML and CSS is designed by Duke University USA and offered by Coursera. This course offers to teach its candidates the theories of programming such as conditional statements, for loops, and functions. 

This course is one of the five parts of the Java programming in Software Engineering Fundamentals Specialisation by Coursera in collaboration with Duke University. The level of this course is for beginners and is best suited for those who have never coded before. Software engineering is one of the top fields when it comes to career prospects. Programming is a prerequisite for all of these jobs. This course will help you get placed in the software engineering industry. The Programming Foundations with JavaScript HTML and CSS will also help students learn the fundamentals of web development (CSS, JavaScript, and HTML).

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Beginner
3,369
Skills Covered:
Java Knowledge of CSS
Building Database Applications in PHP

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Certificate

Building Database Applications in PHP

PHP is highly used as a web development tool and especially as a primary language for developing a website by top companies like IBM, Yahoo, Facebook, etc. The Building Database Application in PHP certification by Coursera in collaboration with the University of Michigan- Ann Arbor ensures that the candidates become adept in PHP.

All the IT Professionals in leading companies use PHP as their preferred language for developing web applications as it is easy to learn compared to other languages. PHP has a benefit where an application made from any other language can be easily translated to PHP by using extensions along with inter-OS Compatibility.

The Building Database Application in PHP certification course is specially designed under the Web Applications for Everybody Specialization programme to build required skills in the candidates which will build a strong portfolio of the candidate and impart good knowledge which will help them gain great opportunities for the future.

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Intermediate
3,369
Skills Covered:
Database knowledge SQL knowledge
Getting and Cleaning Data

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Certificate

Getting and Cleaning Data

4,117
Relational Database Administration

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Certificate

Relational Database Administration

Intermediate
4,117
Data Warehouse Concepts Design and Data Integration

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Certificate

Data Warehouse concepts, Design, and Data Integration

Along with the University of Colorado, Coursera has created Data Warehouse concepts, design, and data integration for working professionals involved in software engineering or business analytics. Through this programme, the candidates would come across theory and ability for drafting data warehouses and constructing data integration workflows. These are some prominent skills required for data warehouse administrators and developers. The candidates will get firsthand experience in designing a data warehouse and utilizing open-source resources for operating pivot tables and drafting data integration workflows.

This programme is recommended to professionals involved in information or business technology and aspires to become a data warehouse administrator or designer. The participants would gain knowledge about architectures, maturity models, management practices, and multidimensional models that provide an organizational view regarding data warehouse development. To complete the graded assignments, they can either use Oracle, PostgreSQL, or MySQL. Through this course, the candidate would construct data integration workflows and data warehouse designs to convince the business intelligence requirement in an organization.

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3,369
Skills Covered:
Knowledge of Data Sorting
Advanced Data Science Capstone

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Certificate

Advanced Data Science Capstone

The Advanced Data Science Capstone certification course is specialized in the field of data science presented by IBM, the course is structured into week dynamics and the syllabus is in accordance with that only. This course will provide an immense Advanced Data Science Capstone training that will be focused on a deep understanding of the huge processing of data, exploration, and data visualization. 

Basically, the course is structurally based on deep learning and machine learning that will help them to be more effective and efficient in solving real-world problems and situations. Candidates need to pass the last assessment that is the project work in order to attain Advanced Data Science Capstone certification by the end of the completion of the course. Candidates can get constant feedback along with every module which can help them to make their fundamentals and basics stronger. 

The Advanced Data Science Capstone online course will assist the applicant in learning and demonstrating an understanding of the characteristics of various algorithms, systems, and technologies, as well as how they affect model efficiency and scalability, which are needed in the data science area. Candidates can apply for the course via an online platform and can submit the assessments via the same model only. 

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Expert
4,086
Skills Covered:
Data science knowledge
Scalable Machine Learning on Big Data using Apache Spark

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Certificate

Scalable Machine Learning on Big Data using Apache Spark

The IBM advanced data science qualification curriculum includes the Scalable Machine Learning on Big Data using Apache Spark online course which provides students with much-needed insights to scale up the machine learning and data science methods in Apache Spark on big data sets. 

The Scalable Machine Learning on Big Data using Apache Spark syllabus will teach about datasets that need capabilities beyond a single computer and Apache Spark provides the open source-based framework and comes as a part of the IBM Artificial Intelligence Engineering. 

It is an intermediate difficulty level coursework that is fully online and provides a verified certificate. The Scalable Machine Learning on Big Data using Apache Spark by Coursera takes a total duration of 4 weeks to complete and is taught in the English language along with subtitles provided for student comfort. The course will help candidates with prerequisite knowledge on programming, SQL and machine learning with a flexible deadline and serve as a great asset for anybody aspiring to be a Machine Learning Engineer. 

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Intermediate
Free
Skills Covered:
Machine learning Knowledge of Apache Spark
Introduction to Software Programming and Databases

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Introduction to Devops

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Certificate

Introduction to Devops

Beginner
4,117
Certificate

Concurrent Programming in Java

The course- Concurrent Programming in Java is the part of the Concurrent, Parallel, and Distributed Programming in Java Specialization. The course is offered by Rice University which is ranked among top 100 universities across the world and top 20 universities in the United States of America. The course is for students and professionals who intend an in-depth study of programming in Java.

The programme teaches all the fundamental concepts of concurrent programming in Java 8. The knowledge of concurrent programming assists developers to mediate the parallel programs using shared resources more efficiently. Towards the end of the course, the participants will use basic concurrency constructs like locks, threads, atomic variables, actors, isolation critical sections, concurrent collections, critical sections. Also, the theoretical foundation concepts like deadlock, progress guarantees, linearizability, and starvation will be taught in the course. The knowledge of theoretical foundations of concurrency will empower the participant to be meticulous and avoid subtle and common errors in programming.

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Intermediate
3,369
Skills Covered:
Java

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Certificate

Google Data Analytics Capstone: Complete a Case Study

Students who enrol for Google Data Analytics Capstone: Complete a Case Study certification course will be able to attend online sessions with no restrictions regarding time limitations. The course is offered by Google and talks about data analysis. The course helps the student prepare for jobs in the relevant field.

The Google Data Analytics Capstone: Complete a Case Study online course includes video sessions, readings, practice papers, quizzes, assignments as the study material of the programme. Along with the available pedagogy, the course also involves a case study that helps the students gain information on how the organizations work in the market.

The course is a part of the Google Data Analytics Certificate and needs only 13 hours for completion. The course is available for free as well as with a subscription. The course also allows students to have financial aid according to their requirements. By the time the course ends, students get an opportunity to achieve a certificate after completion of their graded assignments.

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Beginner
1,175
Skills Covered:
Data science knowledge Knowledge of Data Visualization
Data Analytics for Lean Six Sigma

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Certificate

Data Analytics for Lean Six Sigma

Beginner
Free
Data Analyst Career Guide and Interview Preparation

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Introduction to Cloud Development with HTML, CSS JavaScript

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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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Beginner
4,115
Skills Covered:
Web application development skills
Application Development using Microservices and Serverless

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Offered by

Managerial Accounting Fundamentals

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Certificate

Managerial Accounting Fundamentals

Beginner
Free
Standardisation and Technology

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Certificate

Standardisation & Technology

The online session on the Standardisation & Technology online course focuses on the domain of technology and its evaluation in the course of time. The programme will be held on the online platform and can be accessed by students who have an interest in the said field. In the Standardisation & Technology certification syllabus the students will be learning about the history and will read about the standards of technology that has evolved in the present-day society. 

By joining the Standardisation & Technology programme, you can explore the world of standards that goes unnoticed by a lot of people. The course will help students to get knowledge about organizations that develop and maintain the standards. Students will also get an idea about the future in this ever-evolving field. The online course needs approximately 7 hours to complete and has flexible deadlines for the convenience of the students.

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Beginner
3,275
Skills Covered:
Technology skills
The Impact of Technology

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Certificate

The Impact of Technology

In The Impact of Technology certification course, students will learn about the theories involved in the genre of “technology”.  The course provides a wide approach to the economic and social factors that have impacted the growth and diversification of technology over the years. 

The certification allows the candidates to study the historical examples and then analyze the recurring cycles and patterns that are involved in technology building. Set at the intermediate level, the course provides the students with shareable certificates. 

The course syllabus over the time frame of 23 hours will be covering topics like - Hype cycle, Industry transformation, Megatrends, The tech delta, Capabilities and actions, Role development, Strategy formulation, and others. A large number of assignments are involved in the course, which further helps the students facilitate the process of learning. In the course, the students will also be introduced to the chapter on “self-driving cars”

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Intermediate
4,115
Skills Covered:
Technology skills

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