IBM Data Science: Best Microdegree Programs from Coursera

What is Data Science IBM?

Data science is the process of using algorithms, methods and systems to extract knowledge and insights from structured and unstructured data. It applies advanced analytics and machine learning (ML) to help users predict and optimize business outcomes.

IBM data science solutions empower your business with the latest advances in AI, machine learning and automation to support the full data science lifecycle — from preparing and exploring data to building, deploying, managing and monitoring models. Use IBM data science software on IBM Cloud Pak® for Data, a containerized data and AI platform, to build and run models anywhere — on any cloud and on premises.

How can you start learning data science?

Here is how can you start with the data science starter kit and even from dataschool.io:

  1. Figure out what you need to learn.
  2. Get comfortable with Python.
  3. Learn data analysis, manipulation, and visualization with pandas.
  4. Learn machine learning with scikit-learn.
  5. Understand machine learning in more depth.
  6. Keep learning and practicing.

Can you become a data scientist in 6 months?

According to analyticsindiamag.com, when you are 9-5 full time working professional, you cannot afford to waste your time on courses that just claims — “become a data scientist in 6 months.” Talking about courses, you can either go to an institute and enrol in a data science course or you can take up an online course organized by professional organizations like IBM or Google.
So, when you complete the course you will get the certification and a badge (from IBM).
 

Can you get a job with a data science certificate?

Let’s get one thing clear up front: you do not need any kind of data science certificate to get a job in data science. You should choose your learning platform based on the skills it teaches, not the certificate it issues, because recruiters just don’t care much about any data science certification.
 

Are IBM badges worth it?

IBM’s human resources department found a correlation between badges and engagement. Employees who earn digital badges show higher engagement scores than employees who do not. Among IBM badge recipients, 87% said they are more engaged because of the digital badge program.

Best Microdegree programs: Specializations and Professional Certificates

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$38.00
  • Coursera
  • IBM
  • Online Course
  • Self-paced
  • Beginner
  • Less Than 24 Hours
  • Free Course (Affordable Certificate)
  • English
  • Data Science Deep learning Hadoop
The score is based on the quality of the course content & user experience as rated by the learners
Learner rating
9.4
Content rating
9.6
PROS:
  • Perfect for absolute beginners.
  • Practical implementation and application.
  • of concept.
  • Interesting experiences shared by Data scientist professionals.
  • Simplified content & easily understandable.
CONS:
  • Very basic information
  • Lengthy introductory content
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$199.99
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  • Udemy
  • SuperDataScience
  • Online Course
  • Self-paced
  • All levels
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Data Science Deep learning Machine learning
The score is based on the user experience, rated by the learners.
Learner rating
9
PROS:
  • A good overview of some of the different neural networks.
  • Content and course structure is well planned and comprehensive .
  • You will learn variety of Deep Learning algorithms in on place.
CONS:
  • Random introduction of some advanced techniques which are very hard to follow.
  • Need to increase the gist of the concepts.
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$39.00
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Best deal at: Udemy
  • Coursera
  • IBM
  • Professional Certificate
  • Self-paced
  • Intermediate
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Data Analysis Data Science Deep learning Machine learning Reinforcement learning SQL for Data Science
The score is based on the quality of the course content & user experience as rated by the learners
Learner rating
9.3
Content rating
9
PROS:
  • Well-structured course and easy-to-understand lectures
  • Lots of Labs to get a hands-on practice
  • Good examples to cover the major topics
CONS:
  • Required in detailed explanation on hypothesis testing
  • Need to elaborate concepts
  • Required couple of Labs for DBSCAN and Mean-Shift
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$39.00
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  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Intermediate
  • 1-3 Months
  • Paid Course (Paid certificate)
  • English
  • Data Analysis Machine learning SQL for Data Science
The score is based on the quality of the course content & user experience as rated by the learners.
Learner rating
9.5
Content rating
9
PROS:
  • Well-structured course with easy-to-understand
  • Thorough walkthrough to the code
  • Detailed explanation on each and every aspect of the classification
  • Lots of Labs to get a hands-on practice
CONS:
  • Need more material and direction for assignments
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$39.00
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  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Beginner
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Data Science Data Science with 'Python' SQL for Data Science
The score is based on the quality of the course content & user experience as rated by the learners
Learner rating
9.2
Content rating
9.1
PROS:
  • Perfect introduction to data science
  • Gives you a good idea and overview of different tools
  • Step-by-step guide of how to create a data science project
  • The entire program is well structured and has good hands-on assignments.
CONS:
  • Videos need to be updated for changes to Watson Studios
  • Support from IBM on their cloud services should also be improved.
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$99.00
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  • EDX
  • IBM
  • Online Course
  • Self-paced
  • Beginner
  • 1-3 Months
  • Free Course (Affordable Certificate)
  • English
  • Data Science Data Science with 'Python'
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$39.00
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Best deal at: edX (Global)
  • Coursera
  • IBM
  • Professional Certificate
  • Self-paced
  • Beginner
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Artificial intelligence Data Science Data Science with 'Python' Machine learning
The score is based on the quality of the course content & user experience as rated by the learners.
Learner rating
9.2
Content rating
9.1
PROS:
  • The course module has been designed especially for beginners to understand the basics of Data Science.
  • Hands-on projects will help you to clear your technical concepts.
  • Course provides detail and clear information about Pandas, Numpy, statistical and data analysis.
CONS:
  • Users expect more exercise involving the tools of data science methodology.
  • Should have prior knowledge of calculus and linear algebra.
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$39.00
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  • Coursera
  • IBM
  • Professional Certificate
  • Self-paced
  • Beginner
  • 1+ Years
  • Paid Course (Paid certificate)
  • English
  • Artificial intelligence Cognos Data Analysis Data Science with 'Python' Excel
The score is based on the quality of the course content & user experience as rated by the learners.
Learner rating
9.4
Content rating
9.5
PROS:
  • Great Introductory course to start your career in Data analytics
  • Good overview of how Python can be used for data science
  • Syllabus of the course takes you in a roller-coaster ride from basic level to advance level
CONS:
  • More exercises related to Pandas and Numpy would be good for practice
  • The course needs to be updated with the latest UI of IBM Watson
  • Final assignment on Cognos Analytics is difficult
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$49.00
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  • Coursera
  • IBM
  • Professional Certificate
  • Self-paced
  • Beginner
  • 3+ Months
  • Free Trial (Paid Course & Certificate)
  • English
  • Artificial intelligence Building AI Chatbots Data Science with 'Python' Machine learning Natural language processing
The score is based on the quality of the course content & user experience as rated by the learners
Learner rating
9.0
Content rating
9.2
PROS:
  • The course module has been designed especially for beginners to understand the basics of AI.
  • The course on building AI-powered chatbots seems to be very informative, logically laid out, and well presented, as it is a great platform to learn AI-powered Chatbots without programming with Watson Assistant.
  • Excellent course for understanding the basics of python and introduction to Pandas and Numpy.
  • Useful information on an introduction to computer vision modeling, OpenCV, and its related projects.
CONS:
  • Users expect more exercise involving the tools of Watson.
  • Building an AI power chatbot course should be updated to reflect the latest changes in the Watson Conversation interface.
  • In the python for data science & AI course, the instructions for IBM Watson and how to set up the assignments are outdated.
  • The final assignment seems to be much harder.
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$79.00
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8.6/10

IBM AI Workflow Enterprise

  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Advanced
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Apache System Artificial intelligence Deep learning IBM Watson Studio Machine learning Natural language processing Spark
This score is based on the user experience as rated by the learners
Learner rating
8.6
PROS:
  • Very well structured course to understand whole AI workflow
  • Labs for Hands-on session are useful
  • Case studies are challenging and informative
CONS:
  • Content could be more in-depth as an 'advance' course
  • More practicality and assignment should be helpful
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$39.00
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  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Beginner
  • 1-3 Months
  • Paid Course (Paid certificate)
  • English
  • Artificial intelligence Building AI Chatbots IBM Watson Studio
The score is based on the quality of the course content & user experience as rated by the learners.
Learner rating
9.3
Content rating
9.5
PROS:
  • Excellent program for beginners
  • Get familiar and know more about Watson services
  • Informative content throughout, logically laid out and well presented
CONS:
  • Need more detailed view of IBM Cloud platform
  • Need more exercises on tools of IBM Watson
  • Course content needs to be updated to the latest changes
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$39.00
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Best deal at: Coursera
  • Coursera
  • IBM
  • Microdegree
  • Self-paced
  • Beginner
  • 1-3 Months
  • Paid Course (Paid certificate)
  • English
  • Artificial intelligence Business AI Data Science IBM Watson Studio
The score is based on the quality of the course content & user experience as rated by the learners
Learner rating
9.4
Content rating
9.6
PROS:
  • Great way to start your way in the AI world
  • Practicle understanding to deploy AI in business enterprises
  • Fascinating introduction to IBM Watson
CONS:
  • Some of the videos are monotonous
  • Courses are much introductiory
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