IBM_DS_Prof
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$49.00
- Coursera
- IBM
- Microdegree
- Self-paced
- Advanced
- 3+ Months
- Paid Course (Paid certificate)
- English
- Apache System Big data Data Science Data Science with 'Python' Deep learning Keras Machine learning Pytorch Spark TensorFlow
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- Great Introductory course for Big Data Analytics
- Exercises and assignments have the appropriate level of difficulty
- Interesting concepts with more math
- Go deep in machine learning and signal processing with different datasets
- Worthy course programs for the price offered
CONS:
- The concepts ain't explained completely here (being advanced course)
- The videos need to be updated
$39.00
- Coursera
- IBM
- Microdegree
- Self-paced
- Beginner
- 3+ Months
- Paid Course (Paid certificate)
- English
- Artificial intelligence Data Science Data Science with 'Python'
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- No need for any prior experience.
- Focused on Python fundamentals.
- Hands on experience with practical skills.
CONS:
- Needs to cover some courses in detail for a better understanding
- Needs improvement in instructional videos
$39.00
- Coursera
- IBM
- Microdegree
- Self-paced
- Beginner
- 3+ Months
- Paid Course (Paid certificate)
- English
- Cognos Data Analysis Excel
The score is based on the quality of the course content & user experience as rated by the learners
PROS:
- Final assignment gives an exact idea about Data analysis
- Gives good ideas and examples of career paths
- Very good for a beginner and intermediate learner
CONS:
- Only introductory info on Cognos
- It would also be helpful to show demos
$39.00
- Coursera
- IBM
- Microdegree
- Self-paced
- Beginner
- 3+ Months
- Paid Course (Paid certificate)
- English
- Artificial intelligence Data Analysis Data Science Data Science with 'Python'
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- No prior knowledge of programming languages required.
- Very well designed final assignment.
- Good to improve your Python skills.
- Well-structured courses.
CONS:
- Challenging for non-statisticians.
- Project needs some Python coding.
- Needs to update the material since some tools have changed.
$49.00
- Coursera
- IBM
- Professional Certificate
- Self-paced
- Intermediate
- 3+ Months
- Paid Course (Paid certificate)
- English
- Artificial intelligence Data Engineering Data Science Data Science with 'Python' Deep learning Keras Machine learning Pytorch Spark TensorFlow
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- Useful information on an introduction to Deep Learning and Neural Networks with Keras.
- Demonstration of an understanding of supervised deep learning.
- You can apply your AI and Neural Network skills to a real-world challenge also can demonstrate your ability to communicate project outcomes.
CONS:
- Need to improve the content on Scalable Machine Learning and on Big Data using Apache Spark.
- Lengthy elementary content.
$39.00
- 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
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
$39.00
- 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.
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
$79.00
- 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
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
$49.00
- 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
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.
$39.00
- 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.
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
Best seller
$39.00
- 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.
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.
$39.00
- 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
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.