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Coursera's most popular online courses

Coursera’s most popular online courses right now

E-learning tools have completely changed the way we learn. A number of websites and platforms empower millions of people from around the world to build their skills, launch businesses, and advance their careers.

For those seeking new learning tools, the vast number of options can be daunting. One good place to look is Coursera, which partners with more than 200 leading universities and companies to offer over 3,000 online courses and programs.

Below are the 10 most popular Coursera courses around the world right now, according to the company.

Google Data Analytics Professional Certificate 

Offered by: Google

Duration: Approximately 6 months (suggested pace of 10 hours/week)

Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. Over 8 courses, you can gain in-demand skills that prepare you for an entry-level job. More specifically, you will:

  • Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job.
  • Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau). 
  • Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming.
  • Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms.

Google Project Management: Professional Certificate

Offered by: Google

Duration: Approximately 6 months (suggested pace of 10 hours/week)

Project managers are natural problem-solvers. They set the plan and guide teammates, and manage changes, risks, and stakeholders. Over 6 courses, this program will offer you in-demand skills that will prepare you for an entry-level job. You will:

  • Gain an immersive understanding of the practices and skills needed to succeed in an entry-level project management role.
  • Learn how to create effective project documentation and artifacts throughout the various phases of a project.
  • Learn the foundations of Agile project management, with a focus on implementing Scrum events, building Scrum artifacts, and understanding Scrum roles.
  • Practice strategic communication, problem-solving, and stakeholder management through real-world scenarios.

IBM Data Science Professional Certificate

Offered by: IBM

Duration: Approximately 11 months (suggested pace of 3 hours/week)

Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. If you’re interested in pursuing a career in data science or machine learning, this program can help you develop career-relevant skills and experience. 

It consists of 9 online courses that will provide you with the latest job-ready tools and skills, including open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets.

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Google UX Design Professional Certificate 

Offered by: Google

Duration: Approximately 6 months (suggested pace of 10 hours/week)

User experience (UX) designers focus on the interaction that users have with products, like websites, apps, and physical objects. They make those everyday interactions useful, enjoyable, and accessible. With this course you will:

  • Follow the design process: empathize with users, define pain points, ideate solutions, create wireframes and prototypes, test and iterate on designs.
  • Understand the basics of UX research, like planning research studies, conducting interviews and usability studies, and synthesizing research results.
  • Apply foundational UX concepts, like user-centered design, accessibility, and equity-focused design.
  • Create a professional UX portfolio that includes 3 end-to-end projects: a mobile app, a responsive website, and a cross-platform experience.

Google IT Support Professional Certificate

Offered by: Google

Duration: Approximately 6 months (suggested pace of 10 hours/week)

This program will prepare you for a career in the high-growth field of IT, no experience or degree required. You will:

  • Gain skills required to succeed in an entry-level IT job.
  • Learn to perform day-to-day IT support tasks including computer assembly, wireless networking, installing programs, and customer service.
  • Learn how to provide end-to-end customer support, ranging from identifying problems to troubleshooting and debugging.
  • Learn to use systems including Linux, Domain Name Systems, Command-Line Interface, and Binary Code.

IBM Data Analyst Professional Certificate 

Offered by: IBM

Duration: Approximately 11 months (suggested pace of 3 hours/week)

You can gain the job-ready skills for an entry-level data analyst role through this eight-course Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts.

You’ll work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics, gaining practical experience with data manipulation and applying analytical techniques.

This Professional Certificate does not require any prior programming or statistical skills, and is suitable for learners with or without college degrees.

Introduction to Data Science Specialization 

Offered by: IBM

Duration: Approximately 4 months (suggested pace of 3 hours/week)

Interested in learning more about data science, but don’t know where to start? This 4-course Specialization will provide you with the key foundational skills any data scientist needs to prepare you for a career in data science or further advanced learning in the field.  

This Specialization will introduce you to what data science is and what data scientists do. You’ll discover the applicability of data science across fields, and learn how data analysis can help you make data driven decisions. You’ll find that you can kickstart your career path in the field without prior knowledge of computer science or programming languages: this Specialization will give you the foundation you need for more advanced learning to support your career goals.

Deep Learning Specialization

Offered by: DeepLearning.AI

Duration: Approximately 5 months (suggested pace of 7 hours/week)

The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. 

In this program, you will build and train neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learn how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more. Get ready to master theoretical concepts and their industry applications using Python and TensorFlow and tackle real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more.

Data Science Fundamentals with Python and SQL Specialization 

Offered by: IBM

Duration: Approximately 6 months (suggested pace of 3 hours/week)

This specialization consists of 4 self-paced online courses that will provide you with the foundational skills required for Data Science, including open source tools and libraries, Python, Statistical Analysis, SQL, and relational databases. You’ll learn these data science pre-requisites through hands-on practice using real data science tools and real-world data sets.

Upon successfully completing these courses, you will have the practical knowledge and experience to delve deeper in Data Science and work on more advanced Data Science projects.

Machine Learning

Offered by: Stanford University

Duration: Approx. 61 hours

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. It is so pervasive today that you probably use it dozens of times a day without knowing it.

In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you’ll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you’ll learn about some of Silicon Valley’s best practices in innovation as it pertains to machine learning and AI.

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