10 Best Free Coursera Courses
The Trainee’s Corner brings you the 10 best free Coursera courses. You can earn a verified certificate for a reasonable price. The list below will be updated regularly with the most trending and popular courses available at Coursera.
Machine learning is being used in self-driving cars, practical speech recognition, effective web search, among many others. In this Coursera course, offered by Stanford University, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. You will not just learn the theory behind machine 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.
Course highlights:
- 100% Online
- Duration: 56 hours to complete
- Flexible deadlines
- Taught in English
- Skills: Logistic Regression, Artificial Neural Networks, Machine Learning Algorithms, Machine Learning
Deep learning is the new superpower that will let you build AI systems that weren’t possible a few years ago. This Coursera course, offered by deeplearning.ai, teaches you the foundations of Deep Learning, in other words how it actually works. You will learn how to build neural networks and understand the major technology trends driving Deep Learning. This course is part of the Deep Learning Specialization.
Course highlights:
- 100% Online
- Duration: 18 hours to complete
- Flexible deadlines
- Taught in English
- Skills: Artificial Neural Network, Back-propagation, Python Programming, Deep Learning
In this Coursera course you will engage in a series of challenges designed to increase your own happiness and build more productive habits. Misconceptions about happiness, annoying features of the mind that lead us to think the way we do, and the research that can help us change are revealed in this course. You will ultimately be prepared to successfully incorporate a specific wellness activity into your life.
Course highlights:
- 100% Online
- Duration: 20 hours to complete
- Flexible deadlines
- Taught in English
- Skills: Gratitude, Happiness, Meditation, Savoring
This Coursera course, offered by deeplearning.ai, is for everyone that wants to learn the meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science. It teaches the potential and opportunities of AI, and how your company can benefit from applying an AI strategy. It is mainly a non-technical course, so engineers can also take it to learn the business aspects of AI.
Course highlights:
- 100% Online
- Duration: 9 hours to complete
- Flexible deadlines
- Taught in English
- Skills: Workflow of Machine Learning projects, AI terminology, AI strategy, Workflow of Data Science projects
This Coursera course gives you easy access to the invaluable learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. You will learn about how the brain uses two very different learning modes and how it encapsulates (“chunks”) information. You will also learn illusions of learning, memory techniques, dealing with procrastination, and best practices shown by research to be most effective in helping you master tough subjects.
Course highlights:
- 100% Online
- Duration: 12 hours to complete
- Flexible deadlines
- Taught in English
- Skills: Test Preparation, Learning To Learn, Pomodoro Technique, Meta Learning
This course gives you an overview of the ideas, methods, and institutions that permit human society to manage risks and foster the enterprise. It emphasizes on financially-savvy leadership skills and describes today’s practices and analyses prospects for the future. This course also introduces you to risk management and behavioural finance principles to understand the real-world functioning of securities, insurance, and banking industries. Its ultimate goal is using such industries effectively and towards a better society.
Course highlights:
- 100% Online
- Duration: 38 hours to complete
- Flexible deadlines
- Taught in English
- Skills: Behavioural Finance, Financial Markets, Finance, Behavioural Economics
In this Coursera course you will learn about the “head and heart” of everyday leadership, individual decision making, group decision making, and managing motivation. The objectives are to understand why and how leadership skills are so critical to organizational success, and learn the foundations of effective leadership skills. This course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. It is also part of the Coursera Strategic Leadership and Management Specialization.
Course highlights:
- 100% Online
- Duration: 16 hours to complete
- Flexible deadlines
- Taught in English
- Skills: Group Decision-Making, Managing motivation, Individual decision-making, Communication In Small Groups, Leadership
This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and much more. Data Analysis with Python is delivered through lecture, lab, and assignments. Completing this course will count towards your learning in any of the following programs: IBM Data Science Professional Certificate and Applied Data Science Specialization.
Course highlights:
- 100% Online
- Duration: 13 hours to complete
- Flexible deadlines
- Taught in English
- Skills: Predictive Modelling, Python Programming, Data Analysis, Data Visualization (DataViz), Model Selection
This course will introduce you to Amazon Web Services (AWS) core services and infrastructure. Through demonstrations you will learn how to use and configure AWS services to deploy and host a cloud-native application. You will use Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Lightsail compute services to build an AWS infrastructure. You will also learn how to set up Amazon Virtual Public Cloud (VPC) and different cloud storage options, and much more. Ultimately, after completing this course, you will have the basic fundamentals to get started on AWS.
Course highlights:
- 100% Online
- Duration: 7 hours to complete
- Flexible deadlines
- Taught in English
- Skills: Cloud Computing Security, AWS Cloud, Cloud Storage, Cloud Networking, Cloud Computing
This course will boost your English speaking skills. In this 5 week course, you will learn how to identify and make a strong personal introduction. You will develop and demonstrate the speaking skills for group discussions: how to agree or disagree, how to clarify, restate and summarize. You will review and practice how to give information and respond to requests on the phone. You will study and role play effective interviewing. You will prepare and give a sales “pitch”, introducing a product or service. Throughout the course, you will adjust how you speak English and you will become more fluent and accurate when you speak. You will demonstrate culturally appropriate body language and tone. This course is part of the Improve Your English Communication Skills Specialization.
Course highlights:
- 100% Online
- Duration: 16 hours to complete
- Flexible deadlines
- Taught in English
- Skills: Stress, Communication, Presentation, Public Speaking
7 Best Coursera Specializations
We bring you the 7 best Coursera Specializations. All Specializations include several courses and a hands-on project, which upon completion, will let you earn an Specialization certificate. The list below will be updated regularly with the most trending and popular Specializations available at Coursera.
In these five courses’ Coursera Specialization, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and much more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry, and will put in practice all these ideas using Python and TensorFlow.
Specialization highlights:
- Includes 5 Courses
- 100% Online Courses
- Duration: 4 months to complete
- Flexible deadlines
- Taught in English
- Skills: Tensorflow, Convolutional Neural Network, Artificial Neural Network, Deep Learning, Backpropagation, Python Programming, Hyperparameter Optimization, Machine Learning, Inductive Transfer, Multi-Task Learning, Facial Recognition System
This Coursera Specialization builds on the success of the Python for Everybody course, and it consists of five courses. It will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. The fifth course is a Capstone Project, where you will use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
Specialization highlights:
- Includes 5 Courses
- 100% Online Courses
- Duration: 8 months to complete
- Flexible deadlines
- Taught in English
- Skills: Json, Xml, Python Programming, Database (DBMS), Python Syntax And Semantics, Basic Programming Language, Computer Programming, Data Structure, Tuple, Web Scraping, Sqlite, SQL
This Coursera Specialization is intended for Data Science enthusiasts who want to acquire practical skills for real world data problems. It appeals to anyone interested in pursuing a career in Data Science, and that already has foundational skills. You will first learn Python, no prior programming knowledge is required, and afterwards you will learn Data Visualization and Data Analysis. Through several guided lectures, labs, and projects you will get hands-on experience tackling interesting data problems. Taking this specialization is key to solidify your Python and Data Science skills, before diving deeper into Big Data, AI, and Deep Learning. Along with getting an Specialization certificate, you will also receive an IBM Badge recognizing you as an Specialist in Applied Data Science.
Specialization highlights:
- Includes 5 Courses
- 100% Online Courses
- Duration: 5 months to complete
- Flexible deadlines
- Taught in English
- Skills: Data Analysis, Python Programming, Data Visualization, Matplotlib, Data Science, Numpy, Pandas, Predictive Modelling, Model Selection
Through the courses in this Coursera Specialization, you will learn the fundamentals to effectively lead people and teams, manage organizations as well as tools to analyze business situations and develop strategies. The Specialization covers the strategic, human resource, and organizational foundations for creating and capturing value for sustainable competitive advantage – including how to manage people and organizations, analyze the competition, and develop strategies both within a business and across a portfolio of businesses. The seventh course is the capstone project, which consists on a strategic leadership and management plan where you will apply what you will learn to an actual business situation with participation by one or more focal companies. This Specialization is part of the Master of Business Administration (iMBA) Degree at the University of Illinois.
Specialization highlights:
- Includes 7 Courses
- 100% Online Courses
- Duration: 8 months to complete
- Flexible deadlines
- Taught in English
- Skills: Strategic Management, Negotiation, Leadership, Business Strategy, Decision-Making, Managing motivation, Small Groups Communication, Performance Management, Change Management, conflict resolution, Organizational Structure
This Coursera Specialization offered by Google Cloud, introduces its learners to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants will explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring. This class is intended for Cloud Solutions Architects, DevOps Engineers or individuals using Compute Engine.
Specialization highlights:
- Includes 5 Courses
- 100% Online Courses
- Duration: 3 months to complete
- Flexible deadlines
- Taught in English
- Skills: Google Compute Engine, Google App Engine (GAE), Google Cloud Platform, Cloud Computing, Virtual Machine, Network Architecture, Debugging, Cloud Storage, Data Store, Load Balancing, Virtual Private Network (VPN), Autoscaling
This Coursera Specialization offered by Johns Hopkins University covers foundational Data Science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research. The five courses in this specialization are the very same courses that make up the first half of the Data Science Specialization. This specialization is presented for learners who want to start and complete the foundational part of the curriculum first, before moving onto the more advanced topics covered in the Data Science: Statistics and Machine Learning Specialization.
Specialization highlights:
- Includes 5 Courses
- 100% Online Courses
- Duration: 5 months to complete
- Flexible deadlines
- Taught in English
- Skills: Data Science, Machine Learning, Github, R Programming, Exploratory Data Analysis, Rstudio, Data Analysis, Debugging, Data Manipulation, Regular Expression (REGEX), Data Cleansing, Cluster Analysis
In this Coursera Specialization offered by Duke University, you will learn to frame business challenges as data questions. You will use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the fifth course, which is the Capstone Project, you will apply your skills to explore and justify improvements to a real-world business process. The Capstone Project focuses on optimizing revenues from residential property, and Airbnb, the Capstone’s official Sponsor, which provided input on the project design.
Specialization highlights:
- Includes 5 Courses
- 100% Online Courses
- Duration: 7 months to complete
- Flexible deadlines
- Taught in English
- Skills: Binary Classification, Data Analysis, Tableau Software, SQL, Business Analysis, Business Analytics, Business Process, Microsoft Excel, Linear Regression, Data Visualization (DataViz), Visualization (Computer Graphics), MySQL
5 Best Coursera Professional Certificates
We bring you the 5 best Coursera Professional Certificates. All Professional Certificates include several courses and one or several capstone projects, which upon completion, will let you earn a certificate. The list below will be updated regularly with the most trending and popular Professional Certificates available at Coursera.
This Coursera Professional Certificate offered by Arizona State University is designed for anyone who wants to teach English anywhere in the world. If you want to become a teacher, polish your teaching skills, or add a credential to your resume, this is your course. Learners will be writing lesson plans, recording themselves teaching, and creating a professional teaching portfolio that it will impress current or future employers. In the final Capstone course, you will have the opportunity to submit a teaching portfolio for expert review. The certificate is taught by instructors that are rated among the top instructors on Coursera.
Professional Certificate highlights:
- Includes 8 Courses
- 100% Online Courses
- Duration: 12 months to complete
- Flexible deadlines
- Taught in English
- Skills: EFL, English Language, TESOL, ESL, English language teaching, Teaching, Lesson Plan, Speech, Plan
This Coursera Professional Certificate offered by Google, is designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small company or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. The program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You will hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers.
Professional Certificate highlights:
- Includes 5 Courses
- 100% Online Courses
- Duration: 8 months to complete
- Flexible deadlines
- Taught in English
- Skills: Binary Code, Customer Support, Linux, Troubleshooting, Domain Name System (DNS), Ipv4, Network Model, Powershell, Linux File Systems, Command-Line Interface, Directory Service, Lightweight Directory Access Protocol (LDAP)
In a nutshell, this Coursera Professional Certificate offered by Google, is designed to provide IT professionals with in-demand skills such as Python, Git, and IT automation, that can help you advance your career. Knowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. This program builds on your IT foundations to help you take your career to the next level. You will learn how to program with Python and how to use Python to automate common system administration tasks. You will also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.
Professional Certificate highlights:
- Includes 6 Courses
- 100% Online Courses
- Duration: 8 months to complete
- Flexible deadlines
- Taught in English
- Skills: Version Control, Troubleshooting & Debugging, Python Programming, Configuration Management, Automation, Basic Python Data Structures, Fundamental Programming Concepts, Basic Python Syntax, Object-Oriented Programming (OOP), Setting up Development Environment, Regular Expression (REGEX), Testing in Python
This Coursera Professional Certificate offered by IBM, consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. No prior computer science or programming knowledge is necessary. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets. You will also build a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science.
Professional Certificate highlights:
- Includes 9 Courses
- 100% Online Courses
- Duration: 10 months to complete
- Flexible deadlines
- Taught in English
- Skills: Data Science, Machine Learning, Python Programming, Data Analysis, Data Visualization (DataViz), Numpy, Pandas, Cloud Databases, Ipython, Relational Database Management System (RDBMS), SQL, Predictive Modelling
This Coursera Professional Certificate offered by Google Cloud, consists of six courses and provides the skills you need to advance your career in data engineering and is the recommended training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. You will enable data-driven decision making by collecting, transforming, and publishing data; and you will gain real world experience through a number of hands-on Qwiklabs projects. You will also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.
Specialization highlights:
- Includes 6 Courses
- 100% Online Courses
- Duration: 4 months to complete
- Flexible deadlines
- Taught in English
- Skills: Tensorflow, Bigquery, Google Cloud Platform, Cloud Computing
5 Best Coursera Master's Degrees
These are the 5 best Coursera Master’s Degree Programs. Most Master’s Degrees include more than ten courses and several capstone projects, which upon completion, will let you earn the Master’s Degree designation. Bear in mind that master degree programs have admission requirements and application deadlines, which may vary depending on the academic institution. The list below will be updated regularly with the most trending and popular Master’s Degree Programs available at Coursera.
The online Master of Computer and Information Technology degree (MCIT Online), offered by the University of Pennsylvania, is an online Ivy League master’s degree (first-of-its-kind program) in Computer Science tailored for non-Computer Science majors. This new program brings the long-running, established on-campus MCIT degree online. One of the things it makes this program unique is that real world project-based learning Core courses and electives blend computer science theory and applied, project-based learning. You will have the chance to use real-world tools and environments such as TensorFlow and Amazon Cloud. The program also fosters a rich and inclusive community for students, granting access to core university services that support their well-being and future career goals. Upon completion, MCIT alumni have been offered jobs at leading tech companies such as Amazon, Google and Facebook, to name a few.
Master’s Degree highlights:
- Includes 10 Courses
- 100% Online
- Duration: 16-40 months to complete
The Master of Science in Electrical Engineering program from the University of Colorado Boulder is centered around subjects such as embedded systems, power electronics, and photonics. These are the building blocks of cell phones, computers, electric and autonomous vehicles, renewable energy grids, LED lighting, advanced medical devices, and much more. The curriculum is influenced by CU Boulder’s close relationships with industry leaders and taught by world-class faculty in the electrical engineering field, and it is designed to be customizable and flexible to meet the needs of working professionals. Graduates of the Professional Master of Science in Electrical Engineering degree program have gone on to become engineers at Intel, Lockheed Martin, Tesla, Google, among others.
Master’s Degree highlights:
- Customizable curriculum (8-week courses)
- Completely Online
- Duration: 2 years to complete (30 credits)
The iMBA program from the Gies College of Business (AACSB accredited) at the University of Illinois at Urbana-Champaign, allows students to earn the same high-quality MBA degree that on-campus students have been earning for decades, but without needing to put career or family life on hold. Students achieve business mastery, gain lifelong leadership skills, and build a global network as they work alongside fellow students. The nearly 2,000 students in the iMBA family represent more than 90 countries and 48 states across the United States. The Master has become a recognized and respected program and has been hailed as a “breakthrough” by Poets & Quants, a leading authority on management education. Definitely a top MBA program with the lowest price by far.
Master’s Degree highlights:
- 18 courses + 3 capstone projects
- Completely Online
- Duration: 24 – 36 months to complete
The online Master of Applied Data Science (MADS) degree from the The University of Michigan (#1 public research university in the U.S.) School of Information is designed for aspiring data scientists to learn and apply skills through hands-on projects. You will learn how to use data to improve outcomes and achieve ambitious goals. The MADS curriculum prepares you to be a leader in the field through mastery of core data science concepts like machine learning and natural language processing. By diving deep on key topics such as privacy, data ethics, and persuasive communication, you will be prepared to succeed within today’s organizations. You’ll also work with real data sets from top companies as you build a work portfolio that showcase your skills. Learn the systems and techniques that help organizations overcome data overload and make smart decisions. If you were looking for the perfect Master in Data Science deal, stop searching now.
Master’s Degree highlights:
- 34 credit hours
- Completely Online
- Duration: 12 months to complete
In the Master’s degree in Machine Learning and Data Science from the Department of Mathematics at Imperial College London (a top 10 universities in the world), you will develop an in-depth understanding of machine learning methods, alongside invaluable practical skills and guided experience in applying them to real-world problems. The curriculum is designed to propel your engineering or data science career forward, allowing you to choose the path that’s right for you, be that a role as a data scientist, a machine learning engineer, or a computational statistician. With hands-on projects, you’ll build a portfolio to showcase your new skills in everything from probabilistic modeling, deep learning, unstructured data processing and anomaly detection. One of things that makes this master program unique, is the fact that it prepares students with the mathematical and statistical theory needed to truly understand machine learning, as opposed to other master programs that are more computer science focused.
Master’s Degree highlights:
- 12 modules
- Completely Online
- Duration: 24 months to complete