30 Best + Free Coursera Courses & Certifications [2019]

Top 10 Coursera Courses for 2017

Top global e-learning experts after in depth research have come up with this list of 10 Best Coursera Courses, Certifications, Specializations and Classes available online for 2019. These include both paid and free Coursera courses for you to learn from and are updated each month. Wish you the best in your career!

 

30 Best + Free Coursera Courses, Certifications, Specializations & Classes Online [2019] [UPDATED]

1.  Coursera Deep Learning Certification by deeplearning.ai

deeplearning coursera course

If you want to jumpstart a career in AI then this specialization will help you achieve that. Through this array of 5 courses, you will explore the foundational topics of Deep Learning, understand how to build neural networks, and lead successful ML projects.  Along with this, there are opportunities to work on case studies from various real-world industries. The practical assignments will allow you to practice the concepts in Python and in Tensorflow. Additionally, there are talks from top leaders in the field that will give you motivation and help you to understand the scenarios in this line of work. You will require some basic development knowledge in order to go for this specialization. You may also be interested in checking out Deep Learning Courses.

 

Key USPs-

– Learn about convolutional networks, RNNs, BatchNorm, Dropout and more.

– The lessons will help you to learn different techniques using which you can build models to solve real-life problems.

– Real-world case studies in fields such as healthcare, autonomous driving, sign language reading, music generation, and natural language processing are covered.

– Gain best practices and advice from the industry experts and leaders.

– Complete all the assessments and assignments as per your schedule to earn the specialization completion certification.

 

Duration: 3 months, 11 hours per week

Rating : 4.9 out of 5

You can Sign up Here

 

Review : This course provides outstanding introduction into the subject of deep learning. Andrew Ng step by step explains from very basics of the subject (logistic regression) to very complex deep networks consisting of several hidden layers. Course also provides with amazing programming exercises which builds a clear understanding of what you are doing and how you apply your theoretical knowledge. Thank you very much!

 

 

2. Google IT Support Professional Certificate (Coursera)

This professional certification is developed by Google to prepare you for an entry-level role in IT support. Get started with the troubleshooting methods, customer service, system administration, and security. The first set of lectures talk about the terminologies and fundamental to build a strong footing in this field before moving onto the various aspects of support. One of the perks of this program is that no prerequisite is required to enroll in this certification and on completion can be used to gain employment in some of the top IT companies in the world.

 

Key USPs-

– Learn about the experience of Googlers and how they jump-started a career in this area.

– Assemble a computer from scratch, install the operating system, and understand the impact of the internet.

– Understand the standard protocols involved with TCP/IP communications, network services like DNS and DHCP.

– Grasp the troubleshooting and other necessary tools required to handle the challenges faced regularly.

– Explore the file system of different operating systems, work with system logs and remote connection tools.

– Utilize your knowledge to troubleshoot common issues in an IT specialist role.

 

Duration: Self-paced

Rating: 4.7 out of 5

You can Sign up Here 

 

Review : Great introduction to IT and the different standards that are used in the field. It really gives you an idea of what to expect and the different aspects that you may encounter while you’re on the job. – JM

 

 

3. IBM Data Science Professional Certificate (Coursera)

If you have decided to pursue a career in Data Science or machine learning then this is a fairly good place to begin. This certification consists of a series of 9 courses that help you to acquire skills that are required to work on the projects available in the industry. The lectures cover a wide range of topics including data visualization, analysis, libraries, and open source tools. By the end of the program, you will have multiple assignments and projects to showcase your skills and enhance your resume.

 

Key USPs-

– Well designed content and all the topics are covered elaborately.

– The instructor helps you to work on the fundamental techniques with the help of examples.

– Plenty of opportunities to implement the skills covered in the lessons and using real-world tools and real-world datasets.

– No prior programming or computer science knowledge is required as all the topics are covered from scratch.

– The classes contain tips and techniques along with assessments and projects.

 

Duration: 3 to 5 weeks per course, 2 to 7 hours per week

Rating: 4.6 out of 5

You can Sign up Here 

 

 

4. Applied Data Science with Python from University of Michigan

University of MichiganIf you want to master data science using Python, then this is an ideal course for you. To enroll, you will need basic knowledge of Python and during the course, you will learn about popular python toolkits such as pandas, matplotlib, nltk and networkx among others. You will specifically learn about Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python and Applied Social Network Analysis in Python. The tutors of this program are Christopher Brooks, Kevyn Collins-Thompson, Daniel Romero and V. G. Vinod Vydiswaran. Do have a look at other Data Science Certification as well.

 

Rating : 4.5 out of 5

You can Sign up Here

 

Review : Great class! Right amount of challenging for someone with some Python (or scripting) background to cover some useful Pandas scenarios. Only critique is the coding challenges would be better if error logs were provided.

 

 

5. AI For Everyone by Andrew Ng (Coursera)

deeplearning coursera courseArtificial intelligence is considered to be one of the more complex topics in technology but its use in our daily lives cannot be overstated. So if you want your organization to become better at using this technology then this program is worth a look. In the classes, you will learn the meaning behind basic and crucial terminologies, what AI can do and cannot do, spot opportunities to apply AI solutions to problems in your organization and more. By the end of the lectures, you will be proficient in the business aspects of AI and apply them aptly in relevant situations. The course is created by Andrew Ng, the pioneer in the field of artificial intelligence, and the founder of Coursera.

 

Key USPs-

– Understand what it is like to build machine learning and data science projects.

– Work with an artificial intelligence team and build a strategy in your company.

– Navigate ethical and societal discussions surrounding this field.

– The lessons do not require any prerequisites, hence it can be taken by anyone with any level of experience.

– The deadlines of the classes can be adjusted as per your convenience.

 

Duration: 4 weeks, 2 to 3 hours per week

Rating: 4.9 out of 5

You can Sign up Here 

 

Review : It’s a fantastic course by Andrew. Everyone should take it to understand how AI can impact any software system.

 

 

6. Coursera Machine Learning Certificate by Stanford University

Stanford Coursera Course

If you want to jump start a career in machine learning then this is one of the top options available. This course provides an introduction to the core concepts of this field such as supervised learning, unsupervised learning, support vector machines, kernel, and neural networks.  Draw from numerous case studies and applications and get hands-on to apply the theoretical concepts to practice. By the end of the classes, you will have the confidence to apply your knowledge to real-life scenarios. At an average rating of 4.9 out of 5, this is undoubtedly one of the best coursera courses and top certification course. You may also want to have a look at other Machine Learning Certification courses.

 

Key USPs-

– Understand parametric and non-parametric algorithms, clustering, dimensionality reduction among other important topics.

– Gain best practices and advice from the instructor.

– Interact with your peers in a community of like-minded learners from all levels of experience.

– Real world based case studies give you the opportunity to understand how problems are solved on a daily basis.

– The flexible deadline allows you to learn as per your convenience.

– Learn to apply learning algorithms to build smart robots, understand text, audio, database mining.

 

Duration: 55 hours, 7 hours per week

Rating : 4.9 out of 5

You can Sign up Here

 

Review : Great course for understanding how machine learning algorithms work, I did some other course before this one and it was more on a higher level, talking about algorithms which are already implemented in library and showing how to use them, but this course gave me more insight on how they actually work, which is really useful and interesting. Great material and interesting tasks, not too difficult

 

 

Related Courses: In case you want to check out more online courses, you can have a look at Best Udemy Courses and Best edX Courses.

 

 

7. Coursera Python Certification Course from University of Michigan 

University of Michigan

The coding community is going gaga over Python! These lessons on Mastering Python in 5 Online Courses from the University of Michigan was another favourite of professionals all through 2018 and we see the trend continue in 2019.  Learn concepts like data structures, networked application program interfaces and databases using Python. Charles Severance, Associate Professor from the University of Michigan will help you retrieve, process and visualize data with Python through 5 courses spread across a couple of months including a project to implement what you have learned. Do check out Best Python Courses to find out other top courses in the domain.

 

Key USPs-

– As this is a beginner level course, therefore this course is perfect for learners with little or no basic programming experience.

– Implement the concepts covered in the lessons by writing your first Python program and experimenting with the different techniques.

– The lectures are designed in a fun and interactive manner which makes it engaging and intriguing.

– The program is divided into a series of 5 courses with an increasing level of difficulty.

– Create applications for data retrieval and processing.

– Understand the basics of SQL and database design.

 

Duration: 4 months, 11 hours per week

Rating : 4.8 out of 5

You can  Sign up here

 

Review : Before this course I have covered many other python courses, but this course provides IN-DEPTH explanations for python basics, which made me better understand how python actually works. What is also good about this course is that there is no ready answers for assignments!!!, which is really good if you want to master it yourself

 

 

8. Coursera Financial Markets Certification Course from Yale University

Yale Courses CourseraIf you are eager to learn about how financial markets function and their impact on the world, then this is an ideal choice for you. Professor Robert Shiller, who teaches Economics at Yale University will share you with his wisdom over this 7 week-long course that is absolutely ideal for beginners as well. Learn all about behavioral finance, forecasting, pricing, debt, and inflation in addition to stocks, bonds, dividends, shares, market caps and much more from the world of finance. This is one of the best courses and specialization on Coursera.

 

Rating 4.8 out of 5

You can Sign up Here

 

Review : This is a very great course. Before i took this course i had very little knowledge about the financial markets. Professor shiller has really opened my mind to the world of investment banking. I am going to pursue a career in Investment banking and Prof. Shiller has laid a perfect foundation for me.

 

 

9. Excel to MySQL: Analytic Techniques for Business by Duke University (Coursera)

If you are someone who is fascinated with data and would love to make informed business decisions by drawing insights from large datasets then this specialization is something that will grab your attention. Throughout the lessons, you will use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations and more. End the journey by working on a final project that will provide you the opportunity to explore and apply techniques covered in the classes. You may also be interested in checking out our compilation of some of the best Excel Classes available online.

 

Key USPs-

– Clear guidance is provided to go through with the necessary installations, configurations, and guidance.

– The first few lectures provide an overview of the concepts covered in the videos.

– Get hands-on and apply the techniques to implement effective solutions.

– Complete the classes and the hands-on project to earn the certification.

 

Duration: 8 months, 5 hours per week

Rating: 4.7 out of 5

You can Sign up Here

 

Review : It was an Awesome course. Really enjoyed doing all the exercises. Now I feel quite confident to write any queries.\n\nSpecial Thanks to Professor Jana Schaich Borg for teaching so wonderfully!!!!! – SJ

 

 

10. Learning How to Learn by UC San Diego

UCSanDiego Coursera Course

No matter what field you want to work in it is true that learning is an inevitable part of it. This course will teach you invaluable learning techniques used by experts in various fields. Understand how the brain uses two different modes and encapsulated information. Along with this, you will also go over the illusions of learning, memory techniques, ways to deal with procrastination and more. This certification can be taken by anyone irrespective of their experience level.

 

Key USPs-

– Find different modes of thinking and tools to tackle procrastination.

– Overcome the challenges of overlearning and the advantages of interleaving.

– Access your brain’s most powerful long term memory systems.

– Develop mental habits that are conducive to happiness and figure out the impact of mindfulness.

– Recognize your own strengths and avoid imposter syndrome.

– Take the quizzes and assignments at regular intervals to measure our grasp on the topics.

 

Duration: 12 hours

Rating : 4.8 out of 5

You can Sign up Here

 

Review : I enjoyed the course, and it had some good tips on how to become a more effective learner. The instructors were friendly and enjoyable to listen to. Great course, thank you!

 

 

11. Data Analysis and Presentation Skills: the PwC Approach (Coursera)

pwcThis specialization is designed to help you to gain practical experience with data analysis and turn business intelligence into real-world outcomes. Explore how a combination of better understanding, filtering, and application of data can be useful in solving problems faster with effective decision making. Work with Microsoft Excel, PowerPoint, and other common data analysis and communication tools and finally present data to others in an engaging and motivating manner.

 

Key USPs-

– Get an introduction to data analytics and its role in the business decision.

– Clarify your doubts by discussing with your peers and reaching out to the instructors.

– Get hands-on and work on practical assignments to practice the topics and techniques covered.

– Structure your presentation, and include insights and suggestions.

– The training is divided into appropriate sections along with interactive quizzes.

– The flexible deadlines give you the liberty to learn as per your convenience.

 

Duration: 3 months, 7 hours per week

Rating: 4.6 out of 5

You can Sign up Here 

 

 

12. The Science of Well-Being by Yale (Coursera)

Yale Courses CourseraThis program is created with the goal to help to understand the philosophical science’s view about happiness. Throughout the duration of the lessons, you will not only learn about the ideas and strategies but also put them to practice.  The introductory lessons talk about the misconceptions about happiness before moving on to activities to increase happiness and build better habits. End the journey with tips and a final assignment to apply one wellness activity into your life.

 

Key USPs-

– Well designed content and all the topics are divided into appropriate sections.

– The instructor helps you to work with the foundational concepts with the help of demonstrations.

– Explore different strategies and implement them in the exercises.

– Learn to overcome your biases.

– Regular quizzes and assignments allow you to check our grasp on the topics taught.

– Get started instantly and learn at our own pace.

 

Duration: 19 hours, 3 hours per week

Rating: 4.9 out of 5

You can Sign up Here 

 

Review : This is an outstanding course! I was able to change into a more positive and productive mindset as taught in this course. I highly recommend it to everyone regardless of your profession or background.- MV

 

 

13. Strategy of Content Marketing by University of California, Davis

UC DavisA good content needs a robust marketing strategy to reach its full potential and earn profits. So if you think that you have the knack to develop strategies for marketing content then you are at the right place. In these series of lectures, you will learn to develop, organize and implement a content marketing strategy, analyze it and measure its effectiveness. Additionally, figure out the strategic framework for writing and build your professional brand and authority. By the end of the lessons, you will have experience in putting our ideas into action and take on more complex challenges.

 

Key USPs-

– Get an introduction to the content marketing ecosystem and define its importance in today’s world.

– Discuss the editorial process for contents and describe the benefits and importance of having a content calendar.

– Capture your audience’s attention with effective headlines.

– Develop empathy and experience maps and examine their purposes in this line of work.

– Learn at your own pace with flexible deadlines and schedule.

 

Duration: 5 weeks, 2 to 3 hours per week

Rating: 4.5 out of 5

You can Sign up Here 

 

Review : Way more than I expected! Excellent course and real pleasure to read and listen to! Highly recommend it to everyone regardless of industry you work in.

 

14. Learn to Program: Fundamentals by University of Toronto

With technological developments programming is one of the most in-demand skills to have nowadays. In this certification, you will build your fundamental concepts of coding. The instructor will teach you to write fun and useful programs using the famous language python. Develop a clear understanding of the syntax and standard programming approaches with regular assignments. After ending this lesson you will be ready to go ahead with intermediate and advanced programming specializations.

 

Key USPs-

– Get an overview of the content and the editor to be used to write the programs.

– Go over the fundamental concepts in Python including variables, mathematical expressions, and functions.

– Work with different datatypes and perform type conversions.

– No prerequisite is required to enroll in this program.

– Complete all the graded assignments to earn the certifications.

 

Duration: 7 weeks, 4 to 8 hours per week

Rating: 4.7 out of 5

You can Sign up Here 

 

Review : I didn’t know a thing about programming. Now after two weeks I feel I’ve learned a lot already! The instructors are awesome! I believe this course is very compacted and it needs a good deal of work! – RB

 

 

15. Project Management: The Basics for Success by UCI

In this program, you will learn the essential elements of project management and team leadership. Engage in class activities and gain further understanding of the responsibilities that come with leadership as well as apply them in project environments. Go step by step over the stages of the project cycle and develop competency in planning and controlling the same to have successful outcomes. Upon the completion of the certification, you will be able to apply theoretical and practical knowledge in project environments.

 

Key USPs-

– Learn about the role of the high-performance team and leadership.

– Monitor project activities and assess progress as well as explore how to communicate effectively to report status and performance.

– Apply the best practices and tips from the instructor in real life challenges.

– The content is well structured which makes it easy to follow along.

– Ear the certification by completing all the graded assignments and assessments.

 

Duration: 8 hours

Rating: 4.5 out of 5

You can Sign up Here 

 

Review : I enjoyed the overview of project management and the detailed explanations that were immediately helpful in my work. Lots of great information! Many things for me to think about over a long time – RR

 

 

16. Digital Product Management: Modern Fundamentals by University of Virginia

With changing demands products have gone through a huge change throughout the years. The strategies that may have been successful in the past are being updated regularly. The focus of this program is to set you on the path with all the necessary skills to implement modern product management methods and come up with new ideas. So if you are interested in advancing a career in this field then this course is worth a look.

 

Key USPs-

– No prerequisite is required to enroll in this certification.

– Explore techniques to manage and amplify existing products as well as work on new ideas for better management.

– Identify vivid testable customer outcomes and create focus around them.

– Gain tips to succeed from some of the world’s best product managers and understand how to ‘sell’ our methods to stakeholders.

– Analyze growth, monetization, and engagement using qualitative and quantitative methods.

– Perform operations like customer discover, idea testing and validation, earl development and business model design.

 

Duration: 4 weeks, 3 o 4 hours per week

Rating: 4.7 out of 5

You can Sign up Here 

 

 

17. Blockchain Course by University of Buffalo

This curriculum is designed to help you to prepare for programming on Ethereum. Divided into four parts this specialization covers a range of essential topics from cryptographic underpinnings to enabling decentralized applications. Gain a working knowledge of the fundamental concepts along with the skill set for designing and implementing smart contracts. Explore the methods for developing applications and learn about the popular frameworks that are used in this field. By the end of the classes, you will have the confidence to implement the newly acquired skills in various projects and enhance your portfolio.

 

Key USPs-

– Understand smart contracts to enable automation, autonomy, scalability, and transparency.

– Acquire invaluable development skills and methods that can be used to apply for relevant jobs or going freelance.

– The instructor explains the ideas well and at a good pace.

– A wide variety of example helps you to get a clearer view of the topics.

– Pass all the graded assignments to gain the certificate of completion.

– Work on developing innovative application models by leveraging blockchain technology.

 

Duration: 2 months, 11 hours per week

Rating: 4.6 out of 5

You can Sign up Here 

 

Review : I find this course helpful to absolute beginner and for one who wants to grasp the basic concepts of Blockchain . The tutor tried to explain most part with simplicity and good and sufficient details. – SS

 

 

18. R Programming by John Hopkins University

John Hopkins Coursera CourseR has become one of the top programming languages in recent times and can be used to solve challenges across an array of industries. Take this training to begin programming in R and use it for effective data analysis. Commence with the generic concepts as they are implemented in a high-level statistical language. Cover practical issues in statistical computing such as coding, reading data, accessing packages, writing functions, debugging, profiling and organizing in R. As this is an intermediate level lesson, therefore, beginner level experience in Python and regression is recommended.

 

Key USPs-

– Collect detailed information using R profiler.

– Get guidance for all the necessary configurations and installations to follow along with the lectures.

– Practice with available exercises to enhance your skills and upgrade yourself.

– Use loop function and debugging tools to improve our solutions.

– Understand critical concepts and apply them in the assignments.

– Learn at your own pace with the flexible schedules.

 

Duration: 20 hours, 7 hours per week

Rating: 4.6 out of 5

You can Sign up Here 

 

Review : Excellent course! I already knew a lot about R – but this class helped me solidify what I already knew, taught me lots of new tricks, and now I have a certificate that says I know `something’ about R!

 

 

19. Coursera Machine Learning Certification from University of Washington

University of Washington

This specialization in Machine Learning provides an opportunity to learn one of the most sought-after skills in today’s world. The program promises to take you on an overview of the importance of Machine Learning to lectures about building ML models. It starts with introductory level lessons that cover what machine learning is capable of and why is it so popular followed by classes that focus on practical case studies. Finally learn to analyze large and complex datasets, create systems that improve and adapt over time and ultimately build intelligent applications that can draw predictions from data.

 

Key USPs –

– Great program to get started for a machine learning data scientist or similar profile.

– Well structured curriculum with a detailed focus on each section with practical examples.

– Lots of hands-on opportunities to understand how the various concepts of machine learning actually work.

– The case studies provide the chance to gain applied experience in major areas of ML including predicting, clustering and information retrieval.

 

Duration: 8 months, 6 hours per week

Rating : 4.8 out of 5

You can Sign up here

 

Review : The course starts from very basic level and allows to apply the knowledge practically right from the start so the learner can start to see the results right away which makes it interesting and addictive to jump to next session or video to gain more knowledge.

 

20. Data-Driven Decision Making by pwc

pwcDecisions are an integral part of our lives and data-driven smart decisions have helped businesses to reach new heights with today’s technological advancement. This program is designed to give you an introduction to data analytics and its role in business decisions. Take a look at the importance of data and how it has evolved with time. Along with this, get acquainted with a framework, relevant tools, and techniques used for conducting data analysis.    

 

Key USPs-

– As this is a beginner level course, therefore, no significant experience is required to enroll.

– Discuss careers and roles in data analytics and data science.

– Explore different types of tools and technologies used to gather data and analyze it.

– Complete the graded assessments and assignments to finish your learning.

– The final project gives you the opportunity to integrate different concepts covered in the lessons.

 

Duration: 11 hours, 6 hours per week

Rating: 4.6 out of 5

You can Sign up Here 

 

 

21. Coursera Data Science Specialization by John Hopkins University

John Hopkins Coursera CourseThis specialization from John Hopkins helps you understand the entire data science pipeline and towards the end culminates into a project where you will learn to build a data product using real-world data. The course also has SwiftKey and yelp as industry partners. The 10 course series is created by Roger D. Peng, PhD Associate Professor, Biostatistics; Brian Caffo, PhD Professor, Biostatistics and Jeff Leek, PhD, Associate Professor, Biostatistics.

It is a 9 course introduction to data science, developed and taught by leading professors. The best part is that you can even do it if you are a beginner in this field and Data Science is a much sought after course in the present times. Program Trainer of Data Science Course from John Hopkins University – Roger D. Peng, PhD : Associate Professor, Biostatistics; Brian Caffo, PhD : Professor, Biostatistics and Jeff Leek, PhD : Associate Professor, Biostatistics

 

Key USPs-

– The certification can be taken by anyone with beginner level experience of Python and regression.

– Use R to clean, analyze and visualize data.

– Navigate throughout the complete data science pipeline from data acquisition to publication and manage projects using GitHub.

– Perform regression analysis, least squares, and inference using regression models.

 

Duration: 8 months, 5 hours per week

Rating : 4.5 out of 5

You can Sign up Here

 

Review : This is a good introduction to the tools necessary for Data Science. The lectures are comprehensive. Nevertheless, I view online tutorials for Git and GitHub as well as Dr. Leeks book The Elements of Data Analytic Style as being important supplements to the lectures to clarify and amplify the points that Dr. Leek is developing and attempting to impart to the student.

 

 

22. Coursera Digital Marketing Certification from University of Illinois

Digital Marketing will continue to take over the world and the more you learn about the field, the more one grows. One of the most sought after courses on the platform has been the Coursera Digital Marketing Course from University of Illinois. This was rated one of the top 10 specializations and INC Magazine rated it as one of The 10 Hottest Online Classes for Professionals. This is one of the best coursera specialization for everybody wanting to skill up in the domain of digital marketing.

This Certification is sub divided into 6 courses –

1. Marketing in a Digital World

2. Digital Analytics for Marketing Professionals: Marketing Analytics in Theory

3. Digital Analytics for Marketing Professionals: Marketing Analytics in Practice

4. Digital Marketing Channels: The Landscape

5. Digital Marketing Channels: Planning

6. Digital Marketing Capstone

 

Trainers for this Program –

– Vishal Sachdev Director, Illinois MakerLab

– Rhiannon Clifton, Program Director

– Kevin Hartman, Head of Analytics at Google

– Aric Rindfleisch, John M. Jones Professor of Marketing

 

Review : 4.8 out of 5

You can Sign Up here

 

Review : This course opened up my mind! I am inspired to keep reading about the advancements in the digital world, so as make my own innovations and stay relevant in this fast changing digital world. I can’t wait to take the rest of the courses in this Specialization. Thank you Aric and Classmates!

 

 

23. Social Media Marketing Certification from Northwestern University

Northwestern University

Social Media changes its ways faster than you can blink. There is just so much happening in the space that the best we can do is up skill ourselves to scale up in our careers. To stay up to date and grow in your career, you should check out this highly rated, most coveted Social Media Marketing Course from Northwestern University.

This training is sub divided into following courses –

1. What is Social?

2. The Importance of Listening

3. Engagement & Nurture Marketing Strategies

4. Content, Advertising & Social IMC

5. The Business of Social

6. Social Marketing Capstone Project

 

Program Trainer –

1. Randy Hlavac Lecturer, Medill IMC; CEO, Marketing Synergy Inc

 

Rating : 4.7 out of 5

More details available here

 

Review : Excellent course for a near-beginner in the marketing world! I have had experience with various social media platforms, but this course really opened my eyes to the full range of capabilities these channels hold! I’m very excited to continue my journey with social media marketing and grow professionally!

 

 

24. Search Engine Optimisation SEO Coursera Certification from UC Davis

UC Davis

When Digital marketing first started, a lot of it had to do with SEO (search engine optimisation). Even though a lot of activity has shifted towards paid content over time, the organic value of SEO is stronger than ever. It is also tougher to do SEO than it was before. Check out this reputed SEO Coursera certificate course from UC Davis. This certificate course is really beneficial for those looking for a global certification for their careers. You might also want to have a look at Best SEO Courses.

Training program is divided into following courses –

1. Introduction to Search Engine Optimization

2. Search Engine Optimization Fundamentals

3. Optimizing a Website for Search

4. Advanced Content and Social Tactics to Optimize SEO

5. Advanced Search Engine Optimization Strategies

6. Website Optimization Client Report Project

 

Program Trainers –

1. Dave Lloyd Senior Manager, Global Search Marketing

2. Eric Enge Eric Enge Co-Author of “The Art of SEO”

3. Rebekah May Rebekah May SEO Manager & Lead SEO Instructor

 

Review : 4.6 out of 5

More Details here

 

Review : Builds a strong case for learning SEO by providing real life examples. The assignment provides opportunities to use them and further refine each piece learned here. The course presentation is excellent with really good graphics and well planned content. Some of the tools used in here might not be freely available, but many can be used for trial period or with limited content/features.

 

 

25. Business Analytics from Wharton School Certification Course on Coursera

wharton_online

The one area where most businesses seem to be investing is analytics. This is largely driven by digitisation and the ability to deep dive into what the numbers being generated by any business actually mean. You can earn your Business Analytics Certificate from the Wharton School online! One of the finest programs available on Coursera. Do take a look at many other Best Business Analytics Courses.

 

Training program is divided into following courses –

1. Customer Analytics

2. Operations Analytics

3. People Analytics

4. Accounting Analytics

5. Business Analytics Capstone

 

Program Trainers of Business Analytics Course from Wharton School –

– Noah Gans Anheuser-Busch Professor of Management Science, Professor of Operations, Information and Decisions

– Sergei Savin – Associate Professor of Operations, Information and Decisions

– Senthil Veeraraghavan – Associate Professor of Operations, Information and Decisions

– Ron Berman – Assistant Professor of Marketing

– Eric Bradlow – Professor of Marketing, Statistics, and Education, Chairperson, Wharton Marketing Department, Vice Dean and Director, Wharton Doctoral Program, Co-Director, Wharton Customer Analytics Initiative Martine Haas

– Martine Haas Associate Professor of Management

– Christopher D. Ittner – EY Professor of Accounting

– Brian J Bushee – The Geoffrey T. Boisi Professor

– Cade Massey – Practice Professor

– Raghu Iyengar – Associate Professor of Marketing

– Matthew Bidwell – Associate Professor of Management

– Peter Fader – Professor of Marketing and Co-Director of the Wharton Customer Analytics Initiative

 

Rating : 4.7 out of 5

More details available here

 

 

26. Content Strategy for Professionals Specialization by Northwester University

Northwestern UniversityThe course that really got our attention was Learn strategies to create and implement engaging content across media platforms. Content marketing is becoming so big, that there will be an increasing need of specialists in this domain to fulfill a need of businesses to communicate across different platforms concisely and clearly. You may also want to see list of Best Content Marketing Courses.

 

Training is sub divided into following courses – 

1. Content Strategy for Professionals: Engaging Audiences

2. Content Strategy for Professionals: Managing Content

3. Content Strategy for Professionals: Expanding Your Content’s Reach

4. Content Strategy for Professionals: Ensuring Your Content’s Impact

5. Content Strategy for Professionals: Capstone Project

 

Program Trainers for Content Strategy Certificate –

– John Lavine Founder, Professor and Director, Media Management Center

– Candy Lee,  Professor

 

Rating : 4.8 out of 5

Details for this certification are available here

 

Review : Excellent course. Strong theory, practical tools, usable methods for content strategy development.

 

 

27. Marketing Mix Implementation Specialization from IE Business School Certificate Course

ie higher educationHow about learning the 4Ps of marketing from the comfort of your home (or office)! One of the most holistic courses that covers all the basics of marketing is this one on Learning Marketing Mix Implementation from IE Business School. Ideal for people raring to learn more about marketing, this could be a most certain investment to help you grow in the domain of marketing.

Training is sub divided into following courses –

1. Brand and Product Management

2. Pricing Strategy

3. Channel Management and Retailing

4. Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more

5. Marketing Mix Implementation Capstone

 

Program Trainers for Marketing Mix Implementation Specialization –

– Ramon Diaz- Bernardo, Associate Professor

– Luis Rodriguez Baptista, Professor

– Maria Teresa Aranzabal, Professor

– Eda Sayin, Professor

– Martin Boehm, Professor of Marketing


Rating : 4.7 out of 5

More details available here

 

Review : Professor Rodriguez Baptista is an amazing lecturer. I really enjoyed this course and will refer back to the course materials frequently to maintain my expertise in Brand & Product Management. I can’t wait to apply my newly acquired theory to real-life scenarios!

 

 

28. Business English Communication Skills Specialization Certificate

University of Washington

And the last one brings us back to the basics. The University of Washington brings a course on Learning Business English Communication Skills. Could be the most basic trait and skill that is often most overlooked as well.

 

The program is sub divided into following courses –

1. Business English: Networking

2. Business English: Meetings

3. Business English: Planning & Negotiating

4. Business English: Making Presentations

5. Business English: Capstone Project

 

Program Trainers for Business English Communication Skills Specialization

– Richard Moore, Extension Lecturer, International & English Language Programs

– Daphne Mackey, Extension Lecturer, International & English Language Programs

– Wendy Asplin, Extension Lecturer, International & English Language Programs

 

Rating : 4.6 out of 5

You can Know more here

 

Review : Very useful especially for non-native English speaker. Know more knowledge about Business and standard expressions helps us to avoid many mistakes in future works.

 

 

29. Game Development Specialization 

Created by University of Colorado and taught by Dr. Tim “Dr. T” Chamillard, Associate Professor, this course will teach you game development by helping you learn C# and Unity. It is a well structured course which gives you the feeling of a classroom training program, starts with basics but covers advanced topics as well, and even includes a session on data structures and design patterns for game developers.

 

Rating : 4.8 out of 5

You can Sign up Here

 

Review : I’ve enjoyed this course. For anyone with previous development experience this course will be very easy. Also Dr. T is very positive person. Lot’s of fun in video quizzes 🙂 Thank you!

 

 

30. Bitcoin and Cryptocurrency Certification from Princeton 

Princeton Coursera Course

This program will help you answer some of the most important questions in the field of cryptocurrency. Build the conceptual foundations that are needed to engineer secure software that can interact with the bitcoin network. By the end of the classes, you will be able to integrate ideas from Bitcoin in our own projects.

 

Key USPs-

– Learn how the basic building blocks can be used to construct simple cryptocurrencies.

– Understand the consensus mechanism and how technical methods and cover incentive engineering is used to implement security.

– Cover important individual concepts such as transactions, script, blocks and peer to peer networks.

– Follow along the demonstrations and examples to grasp the concepts.

 

Duration: 18 hours, 4 hours per week

Rating: 4.7 out of 5

You can Sign up Here

 

Review : The best course anyone can get on cryptocurrencies. Just follow the videos, don’t have to read any book. The course design is perfect, right content in right size.

 

31. Coursera Blockchain Foundation Specialization for Developers (IBM)
This course has now been discontinued

It is safe to say that Blockchain is one of the most popular technologies out there. So if you want to jump-start a career in this field yet have no clue where to start then this foundational course will help you. Commence with the basic concepts and fundamental terms before moving on to the high-level components and strategies on building relevant business networks using this technology. Along with hands-on experience modeling and projects, you will also get the opportunity to build your first blockchain application. You may also be interested in checking out Blockchain Certification, it lists the best courses on the subject.

 

Key USPs –

– All the topics are covered from the very beginning including the setup of necessary tools that are required for the labs.

– A number of exercises and assignments to solidify knowledge and clarify doubts.

– Each topic is covered in an elaborate manner with proper demonstrations.

– Acquire the best practices of working with different strategies and building secure business networks.

– Upon successful completion of several quizzes and a final exam, you can earn the program completion badge.

 

Duration: 6 weeks of study, 2 hours per week

Rating : 4.4 out of 5

You can Sign up Here

 

Review : Great course for those at the beginning of their blockchain journey. If you’ve had a bit of experience with cryptocurrencies and have done some homework on your own, this class will be a breeze. I think it’s great to make the labs separate from the course to allow students to keep moving forward and to go back to the labs for edification. I’m looking forward to the next course!

 

So we hope this list helps you learn more, grow more and excel some more in your chosen paths. Do join our unmissable newsletter to keep up with all such updates in the time to come 🙂 Cheers and all the best with finding the course of your choice from our list of Top 10 Skill Based Coursera Certification Courses for Career Growth in 2019!

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