Top 10 Computer Science courses offered by Coursera in 2022

 We at Coursenator have developed a carefully curated list of top 10 Computer Science courses suitable for each learner, from a fresher in school to a person willing to change their career and start afresh.

These online courses have a high demand amongst learners since they are offered by highly reputable universities spread across the globe. These Computer Science Course are free(or paid, if upgraded) for every learner. Learners can seek these courses from Massive Open Online Courses(MOOCs) such as Coursera or our directory on Coursenator's homepage.

WHO IS THIS FOR?

Computer Science has always been an attractive career option for many since it opens up new avenues in the realm of Software and Web Development, which enables learners to code and program. While there are several different languages that one needs to master in this field, and it can get chaotic when one is just starting, this list compiled by us at Coursenator includes self-paced courses and can be comprehended by everyone.

WHY SHOULD YOU DO IT?

In this era of digitalization, it is only beneficial for students to acquire a skill such as programming since it overlaps with every other field ranging from Molecular Biology to Business Administration. Computer Science helps individuals upskill themselves and aids them in their professional lives by assisting them to stand out amongst colleagues.

The following courses vary in terms of their usability and their need in specific fields. Coursenator has compiled this list based on the demand put forth by students, assisting them with the usefulness of these courses. These courses have on this list since they have the highest rating indicating the impact, they have had on the student's lives, i.e., the rate of the number of people who have changed their fields after these courses are relatively higher than the other options present.

Now without further ado, let's start with the list provided by Coursenator's team.

1. Google UX Design , offered by Google & provided by Coursera

Google has curated this professional certificate course to help learners understand the basics of UX(User Experience) research and master the skill to start an entry-level job in the industry. UX Design deals with the experience users have with products while interacting with a company on their websites, apps, etc. Along with the skills that are taught in this course, like usability studies and synthesizing research results, students also become proficient in using software such as Adobe XD and Figma, which open a lot of avenues for them.

google ux designer

The unconstrained environment of this course lets learners ideate solutions, create wireframes and prototypes independently. Google UX Design is a paid self-paced course that will guide learners to apply the fundamentals of UX design concepts such as user-centered design and equity-focused design. This course is ideally constructed for those interested in UX/UI design. This course contains three end-to-end projects for students, which the learners can add to their portfolios.

2. Python course For Everybody Specialization, offered by University of Michigan & provided by Coursera

Python for Everybody is an ideal course for beginners keen on learning the basics of Python language for programming; the course outlines using Python for understanding and searching and handling massive databases. After concluding the study, the students will gain skills in XML, JSON, SQL, and Basic programming languages apart from Python.

Python for Everybody

Professor Charles R. Severance teaches this self-paced online course, one of the faculty from the University of Michigan, who will guide and train the students to create and program their applications to retrieve, process, and visualize data. Along the process, students will be asked to complete hands-on learning practical projects, which students must complete before the students become eligible for the professional certificate.

3. System Administration and IT Infrastructure services , offered by Google

This course qualifies learners to operate a wide range of computers in a multi-user environment. The study outlines the roles and responsibilities of the administration team in an IT Industry, which includes ensuring the proper functioning of reliable operating systems within an organization. The administration team of any organization has to make the big calls regarding the kind of technology that is being used by the organization, the efficiency of those systems, and maintaining the Directory Services, OpenLDAP(Lightweight Directory Access Protocol), all of which are covered in this course presented by Google.

System Administration and It-s functions

This course helps learners learn various functions, teaches them about handling the cloud resources and configuring multiple systems and makes them ready for the real world.

4. Introduction to Artificial Intelligence , offered by IBM

This is a professional Online Certificate course provided by IBM; while it is not free of cost online course, students can avail financial aid for those who genuinely need it. This course in Artificial Intelligence is suitable for learners who are freshers in this field, ie. It is a beginner-level course. However, it is a self-paced course; it usually takes approximately 9 hours to finish.

Intro to Artificial Intelligence

In this course, you will be guided by stalwarts in the field of Artificial Intelligence and will be introduced to concepts such as AI, Deep Learning, and Neural Networks. This course includes deliberations over the ethical issues central to Artificial Intelligence and the impact of AI in our day-to-day lives. There will be a final mini-project demonstrating AI in action.

Our professional team at Coursenator recommends this highly rated course since it opens up a plethora of avenues for freshers in the field of AI, which is still uncharted and yet to be explored.

5. Programming Foundations with JavaScript, HTML and CSS, offered by Duke University

This course is ideal for anyone willing to switch their current field and begin with programming with no prior knowledge of computer science. The Computer Science faculty at Duke University helps aspiring programmers by guiding them through the fundamentals of coding in HTML, JavaScript, and CSS languages, allowing the learners to develop websites independently. The course covers foundational programming (functions, conditional statements, etc.) and solutions to programming equations that programmers are faced with daily.

programming Foundation with HTML, CSS & JAvascript

The primary purpose behind the structure of this course is to equip students with quantitative skills, which enable them to create web pages where third-party actors can upload and search for images using filters. After finishing all the modules, the students will be able to analyze and solve programming questions critically and write JavaScript programs utilizing the appropriate tools, including commands such as alert, onClick, onChange, image sliders, making the page more interactive for visitors. HTML will help build a web page with content, images, links, and lists with all the required information, while CSS(Cascading Style Sheets) IDs help personify the layout and style of a web page.

6. The Data Scientist’s Toolbox, offered by John Hopkins University

The Data Scientist's Toolbox includes an introduction to the fundamentals of Data Science, which will help you specialize in any of the Data Science-related fields. This course briefs learners about the main questions, data, and the tools that Data Scientists and Data Analysts deal with regularly.

The Data Scientists-s ToolBox

The course usually requires the students to devote 2 hours weekly for two months. The students will learn two modules; the first module introduces how to derive knowledge by conceptualizing enormous data. The second module extends the first module and its practical approach using tools such as RStudio and Github.

7. Introduction to Programming with MATLAB, offered by Vanderbilt University

Professionals from the Electrical Engineering and Computer Science Department at Vanderbilt University are offering a course in programming with MATLAB, a high-performance language for technical computing. This course is built for individuals with no prior experience in the world of programming. Though this computing language is not the easiest one, it is the most sought programming language amongst engineers and scientists due to its highly productive computing environment. Knowledge in this language is highly beneficial since it is used in most industries to help build a robust program with limited lines of coding.

Intro to programming with MATLAB

Students opting for this course are also provided with a free MATLAB Online license for the duration of the study, using which they can avail all the tools for solving the equations.

8. TensorFlow 2 for Deep Learning Specialization, offered by Imperial College London

his is an Intermediate level course implying that the learners must have prior skills in the programming environment. Learners who are skilled in machine learning and practitioners keen on understanding the framework of TensorFlow would find this course the most suitable for their needs.

Tensorflow 2 for deep learning

This specialization course is segmented into three different parts, which will ultimately leave the learner with a piece of complete and in-depth knowledge about using TensorFlow and its APIs. The course starts with guiding the mentees through the fundamental concepts of TensorFlow and then leads to training students about building fully customized complex models, which helps in sequencing. The course's last module encompasses knowledge about developing probabilistic models and practical skills using TensorFlow Probability Library. The only prerequisite for this specialization course is Python 3 and general deep learning and machine learning concepts.

9. Introduction to Cybersecurity Tools & Cyber Attacks, offered by IBM

IBM is offering a professional certificate in cybersecurity, and this course aims to make the learners understand the basics of cybersecurity and what constitutes a cyber attack. This is a more suitable course for beginners who are willing to gain knowledge in cybersecurity and want to procure a job as a Jr. Cybersecurity Analyst.

Intro to Cyber Security and Cyber Attack

The course includes an introduction to the fundamentals of cybersecurity and the importance of cyber laws. The trail then proceeds to educate the students about the history of cybersecurity, the changing definitions of cyberattacks, and various types and motives behind such attacks, which are preponderant in modern organizational structures.

Apart from the skills mentioned above, this extremely knowledgeable and informative course familiarizes its students with Malware, Information Security(INFOSEC). IBM New Collar and CIA Triad, Access Management, and the best practices in this field allow the students to explore the vast area of cybersecurity.

Upon completion of this course, students become eligible for professional certificates in Specialization in CyberSecurity.

10. Accelerated Computer Science Fundamentals Specialization, offered by University of Illinois at Urbana-Champaign

The only prerequisite of this course is that learners must have a basic knowledge of programming in any language to understand what's going on in the class. Apart from that, this specialization benefits the learners by preparing them for the Online Master of Computer Science (MCS) and MSC in Data Science.

This course is a practical hands-on specialization that demands regular work from its students through weekly project submissions done in C++. By the end of the modules, students will be able to perform tasks such as editing images, solving a graph search problem, and efficiently manipulating data structures, and be able to analyze different data structures and understand the process of running time and space needs of various algorithms ensuring they fit appropriately to scale.

Accelerated Computer Science

After completing the course, the students will have gained run-Time Analysis and Object-Oriented Programming(OOP) skills. They will independently layout and style, and handle Trees(Data Structures), Algorithms, and Hash Tables in the C++ language.

OUR INFERENCE

While numerous avenues branch out under the big umbrella of Computer Science, this field provides enough leeway to individuals to pursue any specialization of their choosing. Computer Science has come forth to create a niche of its own to become one of the highest paying fields in the job market today. From beginners to experts in fields such as Software Engineering, Data Science, and Designing are exceptionally well paid. This line promises a massive scope for growth to those willing to put in the hours of hard work required.

The graph below represents a rough estimate of salaries per annum that beginners in this line are offered.

jobs

This graph is an average estimate based on the language an individual learns and pursues.

salaru

The above graph shows the average salaries offered to Data Scientists based on the area of residence in which they are following their career.

We hope that these graphs help you understand the value of the certificates you earn upon completing these courses. For people switching in-between careers at the moment, Data Science seems like a promising alternative due to the vast demand in the field.

Conclusion Statistics provided by the Bureau of Labour Statistics(BLS) indicate a significant projected growth rate of the Computer Science field within ten years, implying that there will be a considerable change in the market which will generate tons of job opportunities in the near future.

Coursenator has formulated all of the top courses in our massive database to analyze and then finally conclude that the courses mentioned above provided by renowned universities can help anyone trying to reform their career in the path of Computer Science. Our database targets and segments all the available courses in the cloud based on multiple factors such as university, faculty, type of certificate you get and the feasibility of the course, and the return of investment of the course.

The emergence of the digitalized era and the onset of automation processes in every industry stands as a testament that Computer Science is the future. Individuals should reap the benefits from Massive Open Online Courses(MOOCs) such as Coursera, which will widen the horizons for their careers and assist them in exploring, innovating, and creating groundbreaking interventions in Business Administration, Sustainable Design, and Life Sciences.

Coursenator provides such a platform for all learners around the globe where they can hone their skills and uplift themselves to become revolutionaries in whichever field they wish to pursue.

Also, make sure to register on our website for high-quality content. We at Coursenator are determined to make all of your online learning experience as valuable and easy it can be.

Thank you for trusting Coursenator with your online learning.

How to get job as a Data Scientist in 2021

To answer this question, allow Coursenator to take 5 minutes of your life. Data Science is used to gain insights and knowledge from different types of data. It's a combination of computational and scientific thinking, tools, and some logic.

In this article, we will follow the Data Scientist with Python.

From this knowledge, your ability to get Data Science jobs will increase by 80%. Since I cannot spoon-feed you every step, you have to figure out small things by yourself.

Data Science in Marketing

In the business world, how would you sort through the purchasing data to create your marketing plan? You enforce data-driven marketing campaigns to predict customer behaviour and preferences. You can then use these insights to offer a more customized personal experience and specific audience targeting. The possibilities of using Data Science in marketing are endless. Maybe you learn Data Science and develop new methods of sorting through data that can get you profits, bonuses, promotions, and a chance to start something of your own. Just like marketing, Data Science can apply to anything you can think. In simple words, if you analyze any data you have gathered, you can find out ways to make the process more efficient and profitable.

Here are the ten expertise in Data Science and will help you choose one. Embedded content: https://https://www.coursera.org/specializations/data-science-fundamentals-python-sql

Data Science in Advertising (targeted advertising)

We all remember when Facebook (Meta) was targeted for stealing data from the public. Still, Google does it on an everyday basis, and it has our permission to do it, but have you wondered how they gather all your data and then show you targeted advertisements based on your interest/need?

The answer is data science; there is a tiny data science algorithm everywhere targeted advertisements are being shown. Since user personalization is the future of every service industry, using data science to do targeted advertisements is absolutely brilliant.

If you want to know more about this, go to this link for more information on a targeted advertisement.

What do Data Scientists do?

Data Scientists take information in the form of data, analyze it, process it and then model the information in form of valuable isnights which can be used in businesses and research.

[Here are the ten expertise in Data Science and will help you choose one][2].

Next, I will explain the process of becoming a Data Scientist.

1. Learn a programming language('Python' or 'R')D

If you don't know what Python is, I would recommend this article. You can skim over it and come back. 'R' is the same as Python, but it is mostly used in statistical analysis and graphing, whereas Python can do anything, from game development to web building to website scraping.

Component 2

You can learn Python for data science here with an additional project, and you can learn R here for Data Science with another applied learning project.

(There are many online courses on R and Python for Data Science, Contact us [Coursenator] or scroll down below to view the lessons!)

If you want to exercise your basics, I recommend this book to hone your skills until you become a beast in Python and this book in R for Data Science.

2. Learn the necessary skills

The second part of your journey to becoming a Data Scientist is to learn the basics of Data Science. There are many things you need to study, which are:

1.Statistics

2.Machine Learning and it’s algorithms

3.Data Visualization, Manipulation and Analysis.

Component 3

You can get all these skills in the courses mentioned below, but if you want to study them in relation to data science in depth, follow these links to learn more about the courses!

Statistics for Data Science

Machine learning for Data Science

Data Visualization for Data Science

Data Analysis

Work on projects, get experience and start building your portfolio

Once you get a hold of it, you should <explore and research the following topics to get a feel of the process and the work that comes along with it. Data Science is an active, practical field of work, and to perfect your skills; you need to get hands-on experience by which you can gain actual knowledge of Data Science.

By actively working on these joint projects, you will find fundamental problems that you will face in the field and start working on your approach to solving them. It's all a game of application.

Component 4

Think outside the box and figure out where and how to apply Data Science to your activity/project/work/hobby.

“The goal is to turn data into information, and information into insight.” – Carly Fiorina

This amazing quote by Carly Fiornia explains the basics of Data Science which you will use. You turn data into information by data visualization, machine learning algorithms, statistics and more and information into insight by common sense and business insights. By working on projects and case studies, you build your online presence on sites like Kaggle, Github, Linkedin, etc. These projects will help you get Data Science Jobs.

Component 5

In the 21st Century, job recruiters rarely hire people through the old-fashioned way. Through these online sites, your projects will sway them in your direction and increase the chances of earning $100,000 per year!

You can shape your portfolio based on your interests. For example, if you like machine learning, you need projects that involve machine learning.

As I mentioned at the beginning of this article, you can also solve a business problem with Data Science.

3. Take part in coding competitions.

If you want to master this field, Hackathons are the best way of doing it. Kaggle allows participation in Data Science competitions, you will get an in-depth experience of solving Data Science, and then you will be a beast in this field of work. Here is a video on how you can enrol in a Kaggle competition.

coding

4. Get out there!

Now that you have the basics, the next step is to get out there! Start searching for companies or small businesses that need a data scientist or an intern. You can only learn so much, but if you don't get experience that lets you get a feel of the industry, you won't be able to excel; after all, that's the end goal.

There is one necessary skill that you need to have before you enter this data science field, and that is business expertise or sense because, in Data, you need to analyze it and provide insights that will help the business grow more, you can play around with data all you want, but if you don't have the business sense to increase efficiency and profits by viewing data in real-time, then it's not worth.

I'd recommend you join a startup for a few months or start something of your own, you never know what might work out, but the point still stands that there is no place better for learning and getting experience than a startup as you must take care of everything on your own.

The skill gap and the scarcity of labour are prevalent in the industry. Even the biggest and the most important tech giants have expressed their views on the difficulty.

Where are Data Scientist jobs?

They are everywhere, as Data is being used everywhere in the world and here are the top countries where the salaries are at their highest.

According to Glassdoor, Coursenator has researched this table that compares different data scientist salaries in other countries.

Screenshot 2021-11-02 141708

As you can see from the above graph, Denmark is the country with the highest paying data scientists' jobs. Still, it would help if you never forgot that every country is different. Its cost of living is additional. Its culture is different, so choosing one may lead you to miss out on another opportunity that could expose you to unique experiences. From the previous section you may have found out the answer to the question how much does data scientist make, in the next section you will find out the comparison between the countries and their respective industrial growths.

In Job Satisfaction, India ranks first while France ranks last. Denmark pays the highest while the United States is somewhere in the middle, and India is last. Here is a comprehensive analysis keeping in mind the industry growth in different countries. In terms of Industrial Growth, United States, Europe, United Kingdom, China, Canada, and India have high scope for data scientists, and the reason is listed below:

United States

Since all the tech giants are in the US, it is predicted that their tech companies will spend over 1 billion dollars to procure talent. Apple has also doubled its number of AI-skilled experts and is scouting for new talent. Since the US is the no.1 in Data Science and Artificial Intelligence, it is the best country for a data scientist; their salaries are also pretty high up at $1,00,000.

Europe

There is a shortage of digital skills in Europe, mainly AI and Machine learning. Every European tech centre like Paris, London, Berlin, Amsterdam is short of professionals. The demand for Data Scientists in Europe is so high that they are forced to recruit from outside the EU to fill the vacancies. There could also be a shortage of 2 million skilled workers in Germany, with the majority being IT professionals. The average salary for a Data Scientist in Europe comes down to $82,000, and Europe is one of the best places to live in the world so go ahead!

United Kingdom

According to specialists in recruitment, the demand for data scientists in the UK has tripled over the last five years. The rate at which it's increasing is double the rate in Canada and 20% more than in the United States. Considering the industry and the average salary of a Data Scientist in the UK, which is $64,000, it's a great place to get a job and settle.

China

China is already a superpower, and they are usually on the Top when it comes to AI. China invests in many AI-based techs like facial recognition eyewear for the police and scanners to help catch wanted criminals. But China is indifferent to other countries, with their domestic market unable to cope with the positions. A professional with five years of expertise is rare, so they are also looking to other countries for talent in data science. With the shortage of data scientists in China and the average salary of $46,400, China is a good option. As mentioned, they are always scouting for talented professionals.

Canada

This country is known for investing in ethics, policy and frameworks of AI and data science. The growth for data scientists in this country is increasing as they aspire to take the leading position in data science and AI. Since the average salary for Data scientists is $68,000 and considering the industrial growth, Canada is a viable option to apply for a data scientist job.

Our team's country saw 137,870 vacancies in data scientist jobs in 2020, an outstanding 62 per cent increase from last year. It is expected to boom double the rate in 2021. India also suffers from an acute shortage of data scientists, AI and machine learning professionals. Since India is the 3rd largest startup ecosystem globally, it witnesses 12-15% annual growth. Since data science is needed to grow a business, you can always fill a shortage of professionals!

The average salary for data scientists in India is $13,500, which is the lowest among all the above, but the growth of the data science industry will be the biggest in the world.

In the end, it's all about hard work. You need to have determination, resolve and if you follow all these steps correctly and efficiently, you will have a boost in self-confidence that will help you in your career and personal life. These are some of the best nanodegree programs which will get you certified to be a data scientist. You will get a job on the internet by which you can begin your journey of becoming a successful Data Scientist without going to a university.

If you have followed every step efficiently and consistently, you will land a job like buying a pack of chewing gum. As the metaphor defines, you may not get the best-flavoured gum the first time.

Here's an article on how to strategize while working with data.

You have to travel far (in life) and achieve that success you have been dreaming of

Here's a review of udacity's data science nanodegree on quora

Find out why udacity's programs can help you get a job. Here are some online courses in data science that will help you reach your goal of becoming a data scientist The links are in the course name only!

Data Science for Business Leaders

This nanodegree program will equip you with strategies and guidelines for solving different problems of integrating data science into your business. Learners will learn how to identify opportunities to incorporate data science in the industry and the tools and strategies to execute those opportunities.

Become a Data Scientist

in collaboration with Bertelsmann, Appen, IBM Watson, Insight, Kaggle and Starbucks, Udacity offers you an opportunity to learn the skills needed to become a Data Scientist. These are the projects that you will work on:

writing a data science blog post.

Building a disaster response pipeline with figure eight

Design a recommendation engine with IBM, using user behaviour and social network.

Data science capstone project.

Become a Data Engineer

In this nanodegree, you will learn to build data warehouses, data models, work with massive datasets and automate data pipelines. here are the projects that you will work on:

Building a data model with Postgres and Apache Cassandra

Build a Cloud data warehouse

Build a data lake

Build data pipelines with airflow

Build a capstone project with the skills you have learned.

Data Streaming

In this program, you will gain fluency in modern data engineering tools. here are the projects that you will be working on -

Optimize Chicago public transit system.

Evaluate human balance with spark streaming.

Programming for Data Science with R

By this course, Learners will get the programming fundamentals a person needs for a career in Data Science. here are the projects:

Learn how to investigate a database by going through the process.

Learn how to collect data, compute descriptive stats and create data visualizations.

Learn how to use Github and post versions of the program.

Programming for Data Science with Python

The course description and projects are identical in this course and the above one.

Data Visualization

In this course, Learners will start by building dashboards and communicating the findings to the audience as effectively as possible. here are the projects you will work on in the program-

Build a data dashboard

Design data dashboards

Build a Data Story

Animate a data Story

Become a Data Analyst

To do this nanodegree program, you need to work with Python and libraries like Pandas and Numpy. You will learn how to advance your programming skills and work with messy databases. here are the projects that you will work on -

Learn how to analyze local and global temperature data.

You will learn how to interpret the experimental results.

Using Python, you will learn to wrangle and analyze data.

You will learn how to communicate data findings.

Become a Data Product Manager

You will learn to leverage market data to amplify product development. here are the projects that you will be working on -

You will learn to develop a data-backed product proposal.

Learn to build a scalable data strategy.

You will learn to create an iterative design Path.

Here are some specializations from Coursera

Advanced-Data Science with IBM specialization

After this course, you will have a deep understanding of data exploration and visualization, advanced machine learning, deep learning and massive parallel data processing.

Skills you can acquire if you enrol:

Data Science

Internet Of Things (IoT)

Deep Learning

Apache Spark

Statistics

Machine Learning

Long Short-Term Memory (ISTM)

Data Science: Statistics and Machine Learning Specialization

Skills you can acquire if you enrol:

Machine Learning

Github

R Programming

Regression Analysis

Data Visualization (DataViz)

Statistics

Statistical Inference

Statistical Hypothesis Testing

Model Selection

Generalized Linear Model

Linear Regression

Random Forest

Data Science Specialization

Skills you can acquire if you enrol:

Github

Machine Learning

R Programming

Regression Analysis

Data Science

Rstudio

Data Analysis

Debugging

Data Manipulation

Regular Expression (REGEX)

Data Cleansing

Cluster Analysis

IBM Data Science Professional Certificate

Skills you can acquire if you enrol:

Data Science

Python Programming

Data Analysis

PandasNumpy

Ipython

Cloud Databases

Relational Database Management System (RDBMS)

SQL

Predictive Modelling

Data Visualization (DataViz)

Model Selection

Coursenator wishes you the best of luck on your learning journey

Kickstart your learning!

Top 10 Business Courses to Start your Career in 2021

Whenever you see a successful business, someone once made a courageous decision — Peter Drucker.

Coursenator's Report for Top Business Related Courses To help Learners, Coursenator has aggregated a list of top 10 online courses to help you grow your business or start your new business career in 2021.

These courses have been selected from the World's best online course providers, namely__Coursera, edX, Udacity, FutureLearn & Udemy__.

Why should you enroll in these courses?

In these short Business Training Courses, you will develop the basic as well as the intermediate skills, basic literacy in the language of business that can be used to transition to a new career, start or improve your own small business or apply to the World's top business schools to continue your education.

Business always requires that you should be growing. And growing includes learning those necessary skills and trends that are important for the industry.

These Best-reviewed online courses might not provide you a job but can be helpful to jumpstart your career or give you new ideas and trends in the industry.

Who is this for?

These courses are meant for beginners or people who want to learn basic business skills like risk management and learning key concepts. These frameworks underpin business, brand management, Basic Entrepreneurship skills, etc.

Now without further ado, let's start with the list provided by Coursenator's team. Learn the essential skills to do business

1. Financial Markets, offered by Yale University & provided by Coursera

Our first course is suitable for people interested in learning and gaining skills in Financial markets, Finance & Behavioural economics. Any person looking to start their career in the Finance sector might be interested in this Coursera's Online course.

This course can be helpful to the learners to gain knowledge about finance in depth by providing many real-life examples. It can also help students to make more decisions in financial markets.

Course Review

The financial markets course offered by Yale University is beneficial and provides a great learning experience to all learners. Professor Schiller giving some excellent lectures keeps students motivated to learn everything with ease. He'll help you dive deeper into the financial world.

If you want to learn about the origin, history, and future of financial markets, then this MOOC is great for you.

Learners looking for an advanced course might not want to take up this one because it won't provide all the technical learnings you require.

"I would recommend if anyone is willing to take this course, that person should have some economic and math knowledge or a great wish to learn." - Review by a learner from Coursenator.

2. Brand Management: Aligning Business, Brand and Behaviour, offered by University of London & London Business School & provided by Coursera

Our second course is designed for people interested in learning about brand management, corporate branding, brand identity, and Brand marketing.

This course is well framed with many good examples and interviews, providing a wonderful experience to all the learners. The learners found this course insightful, well researched, and enjoyed learning a lot.

Course Review

Students loved to gain some learnings from Professor Nader Tavassoli. He made the course very interesting with case studies and relevant interview sessions.

The concepts in this course are explained straightforwardly without any complications.

"If you're looking for an eye-opening experience, then I would recommend this course even I have worked for the past 25 years in marketing" - Review by a learner on Coursenator

3. Business Foundations, offered by The University of British Columbia & provided by edX

Our third course will provide you with all the necessary concepts and frameworks needed to understand businesses.

Course Review

Business Foundations provided by the edX platform is a great course to start your learning (recommended for beginners). Learners will learn about how to break down a company into its main components and activities. -How disruption happens in industries. This will also provide an essential financial statement literacy pinch and show how different businesses work in other industries. Elicia, the lecturer of this course, is a popular lecturer in the law and business communications group at UBC Sauder and has

made this course super helpful and easy to understand for all the learners out there. She is an expert at providing practical solutions that directly tie to business objectives.

A perfect introductory course to get you on the right track" - Review from a learner at Coursenator

4. CS50's Computer Science for Business Professionals, offered by Harvard University & provided by edX

Our fourth course is designed to introduce computer science for managers, product managers, founders, decision-makers. In this beginner course, you'll learn a lot, including computational thinking, programming languages, internet technologies, web development, technology stacks, cloud computing, etc.

Course Review

This course will teach students about everything from computational thinking to introduction to programming languages to web development and a little bit of cloud computing.

An Introductory course that covers basics a lot of things makes it ideal for business professionals, managers, founders, decision-makers.

After taking lessons from this course, you'll be able to take up crucial technological decisions even if you're not a technologist yourself.

5. Entrepreneurship: From Business Idea to Action, offered by King's College London and provided by FutureLearn

Our fifth course is a free digital upgrade for beginners who want to enhance their knowledge and understanding of business and improve their skills in entrepreneurship.

Course Review

Want to develop yourself as an entrepreneur? This course is perfectly made according to your needs.

For a beginner, this can help the learner in numerous ways by providing all the basics of entrepreneurship in a structured manner. You'll learn about the critical stages of running a business, from planning to taking the correct actions.

"Perfect for anyone new to entrepreneurship. The course content is awesome and to the point" - Review by a learner at Coursenator.

Dividing the whole course and explaining everything in bite-size steps makes it super easy for the student.

6. Digital Skills: Web Analytics, offered by Accenture and provided by FutureLearn

Our sixth course is also a free digital upgrade short course for learners who want to learn about the role of web analytics (mainly Google analytics in this course) in business, continue to improve your product or the overall business.

Course Review

Want to Learn to apply Web analytics? One of the best perfectly constructed courses is here to help you out.

You'll begin the course by covering all the basics of web analysis. Everything from different types of analytics and what they're used for is given in this course to help learners learn about the key areas in detail.

"Before taking up this course, I had little knowledge about how google analytics works, but this particular course helped me a lot in learning about the pre and post-work involved with web analytics. The instructors did a great job as well."- Review by a Learner at Coursenator *

7. An Entire MBA in 1 Course: Award Winning Business School Prof, instructed by Chris Haroun and provided by Udemy

Our Seventh course is one of the best-selling and most popular courses on Udemy. Ever thought of getting an entire MBA done in one course?

Yes, you will cover everything you need to know about business from Start-up to IPO in this 8-hour course. With 32 articles and 66 downloadable resources, this course is a complete package at a low price. Below is the top Review of this Udemy online course.

Course Review

Don't worry about who has instructed this fantastic course. Chris Haroun has more than 1 million or 1,000,000 students on Udemy itself. His online business and self-improvement courses taught in over 12 languages in 196 countries make him one of the most renowned teachers in the World.

An Entire MBA in 1 course, as the name suggests, will cover everything from getting customers for your business, using the right tools, financial models, working in consulting firms, Business communication, taxation, valuations, and finally, the most important thing - what makes an entrepreneur successful.

"As a beginner, this course is precisely what you need. Learning from a mini MBA class with great structured content and side notes makes it a perfect lesson. The concepts taught are not in-depth but amazing to explore and make something in your business/professional career. The VC side of startups helped me a lot. Recommend this one to all the business owners/business managers out there!" - Top Review from a Learner at Coursenator.

8. Agile PM 101 — Learn the Truth About Agile versus Waterfall, instructed by Chuck Cobb and provided by Udemy

Our eighth course is a free Udemy Online course. This course provides learners with a fantastic introduction to concepts about Agile and Scrum.

The instructor is very clear in the course's goals and content teaching.

Course Review

Learn to See Agile and Waterfall in a Fresh, New Perspective as Complementary Rather Than Competitive.

Learners looking for an advanced course might not want to take up this one because it won't provide all the technical learnings you require.

"In my opinion, the course was easy to follow who want to learn about project management methodologies. It was a good introductory class but not satisfactory enough. The course could have more in-depth details rather than getting repetitive in some sections about Agile and Scrum. The course could have provided additional details like software tools that can be used with Agile and Scrum. Moreover, it's a free udemy course that means no certificate is available even if you complete this course. That's a drawback, but overall a great online course to get you started." - Review by a Learner at Coursenator.

9. Managing Remote Teams with Upwork, offered by Upwork and provided by Udacity

Our ninth course is a free course related to one of the best Udacity's Nanodegree programs (Product Manager) provided by Udacity.

This course will help learners learn how to hire, manage, and optimize remote teams.

Course Review

This free online course offered by the Udacity platform is part of the Product Manager Nanodegree program.

This course is made in partnership with the World's leading professional freelance platform - Upwork. This MOOC is a beginner-level short course to teach you how to apply remote team best practices in your Workforce.

This course answers the following questions ● How do you manage a team that works from home? ● What if those people are working from home for the first time?

People are finding more and more opportunities because of remote work. The ability to manage and lead remote teams is a critical skill taught in this Free Udacity course.

Highly recommended course for those who want to learn how to manage remote teams. Upwork has done a great job by partnering with Udacity and offering this course for Free. If you want to learn more in-depth, you can take the related product manager nanodegree program as well" - Review by a Learner on Coursenator.

10. Get Your Startup Started, offered by Google and provided by Udacity — Assess, Hire, and Fund Your Company

Our tenth and final course is an intermediate free online course offered by Google. This short course is related to another best-selling Nanodegree program (Introduction to programming) & is designed for learning how to pitch your business and secure the funding you'll need to launch your company.

Course Review

Get your Startup Started by Google is an exciting course for all the founders and Co-founders of a company, For people wanting to start something of their own, etc. This course teaches you everything from creating a pitch for your business and securing the funding you need to launch your Startup. The course tells you a lot about viable funding business models for your business like bootstrapping, crowdsourcing, incubators.

This free one offered by udacity is an Intermediate course with approximately three weeks duration. By the end of this course, you'll have your unique pitch and get started with your company by getting the required investment.

That's all for today. We hope you make informed learning decisions, take the best business course you always wanted to get started with your own company/startup, or become a better business manager.

Make sure to #keeplearning with Coursenator; we'll keep bringing up more and more offers, updates on E-learning, and articles on Free online courses to get you on the right learning track.

Also, make sure to register on our website for high-quality content. We at Coursenator are determined to make all of your online learning experience as valuable and easy it can be.

Thank you for trusting Coursenator with your online learning.

Affiliate Disclaimer:- If you register for Courses through our links, we may earn a commission on the purchase. So make sure you register for these MOOCs/Online courses/Nanodegree programs through our links.

Please stay with us:

Website: http://coursenator.com/

Facebook: https://www.facebook.com/Coursenator

Instagram: https://www.instagram.com/coursenator_/

Telegram: https://t.me/ElearnersFreeCourses

Youtube: https://www.youtube.com/channel/UCpcUP0NzPTZKaEnKXl1mVpg

Linkedin: https://www.linkedin.com/company/coursenator/

How to get free online course on Coursera: Step by Step Guide from Coursenator

So A lot of people ask me, Pranay are there any free online courses Coursera? I always tell them that All of the courses on Coursera are free, but you can only audit them. If you want the certificate, you have to pay $29. Coursera partners with more than 200 leading universities and companies to bring flexible, affordable, job-relevant online learning to individuals and organizations worldwide. They offer various learning opportunities — from hands-on projects and courses to job-ready certificates and degree programs.

There are two ways in which you can get Coursera courses for free:

Free Trial

You can Enroll in the course for free for 7 days. After that, you will have to pay $29 to continue, but this is an excellent option as you can decide if you really want the Coursera certificate or if the certificate is even worth it.

Auditing the course

Step 1

Go to Coursera and click the button on the top-right

Step 2

After clicking on the button, Sign up with your name, e-mail address, and password.

OR

Just sign in with Google or Facebook. Nowadays, all the online platforms provide ways to sign in using popular sites.

When you’re signed in, search for any subject or topic of your choosing, For example, I want to learn to program, so I searched for “programming “ and selected the third course.

You can apply filters to the courses as well. Some of the filters include: Language You can learn Spanish, Russian, French, Portuguese, Arabic, German, Vietnamese, Italian, and more.

Level

You can decide on the level and study according to your current level of knowledge. There are three levels, Beginner, Intermediate, Mixed and Advanced.

Duration

You can choose how long you want the course to be, less than 2 hours or 1–3 months or 1–4 weeks or 4+ months.

Skills

If you search for programming, many different courses will show up. Now you can decide on which of the skills in programming do you want to work on—for example, Python, Javascript, Java, C++, etc.

Partner

You can also choose courses according to the top-rated universities like Harvard and MIT and learn from them.

Learning product

You can choose between which learning product, courses, guided projects, specializations, professional certificates, Mastertrack certificates, and Degrees.

After that, click on the “Enroll now” button.

After doing that, there will be two options, “Purchase Course” or “Full course, no certificate.”

You can buy the course, complete the course without any certificate, or complete the course and then pay and get the certification.

All done, you can start learning!

Thank you for reading Coursenator’s blog post, and if you have any questions, you can reach us at contactcoursenator@gmail.com, we’ll be sure to reply to you in a day!