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- Course platform: Udemy
- Level: Advanced/Expert
- Full lifetime access
- Price: Paid Course (with certificate)
- Class length: Approx. 11 hrs.
★★★★★
More details +The score is based on the learner ratings/experience, at Udemy.
PROS:
- Covers a wide-range of advanced reinforcement learning topics.
- Excellent and advanced topics.
- Good details and manual coding.
- Concise details about each algorithms.
CONS:
- Should have more explanation on the theory.
- Need to improve coding lectures.
- Course platform: Coursera
- Offered by: NRU
- Level: Advanced Level
- Price: FREE (Certificate paid)
- Flexible deadlines
- Subtitle in 6 languages
- Class length: Approx. 10 Months.
★★★★★
More details +The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- In terms of quality of the material this course will absolutely meet your requirements.
- One with graduate level math skills can also commence with this course.
- Assignments are good for getting to know python tools.
CONS:
- Need to improve the quality of content in Bayesian methods for machine learning course.
- Require quite a bit of probability theory knowledge.
- The teachers should put more time into explaining the models and their details.
- Course platform: Edureka
- Level: Advanced
- Price: Paid course (with Certificate)
- Class length: Approx. hrs.
★★★★★
More details +The score is based on the user experience, rated by the learners
PROS:
- Overall well-presented modules, materials and homework helps you gain expertise in this domain.
- Comprehensive content and highly knowledgeable instructors.
- Real-life case studies on a project to implement techniques you learn.
- Each module contains practical assignments.
CONS:
- One should be familiar with Basic Understanding of R.
- Length elementary content.
- Course platform: Simplilearn
- Level: Advanced
- 192 hours of instructor-led training
- 19 hours of self-paced learning
- $1,200 worth of IBM cloud credits
- 15+ real-life projects providing hands-on industry training
- In collaboration with IBM
★★★★★
More details +The score is based on the user experience rated by the learners.
PROS:
- Online self-learning videos & trainers assistance with their enriched knowledge helps you understand the content easily.
- All the courses are well structured with self-learning, live classes, and assessment.
- Excellent industry-related projects and will help you to put into practice what you learned in the class.
CONS:
- Should have basic knowledge of mathematics.
- Need to be familiar with the fundamentals of Python programming.
- Course Platform: Udacity
- Level: Advanced
- Flexible deadlines
- Price: Paid Course
- Class length: Approx. < 3 Months
★★★★★
More details +The score is based on the user experience, rated by the learners
PROS:
- Well organized instructions with concrete and familiar examples.
- Projects and reviewers will give you precious feedback.
- Unique, well-paced and well-structured content.
CONS:
- Should have deeper dive into machine learning algorithms.
- You need to be familiar with programming libraries like Numpy & pandas.
- Course platform: Edureka
- Level: For all
- Price: Paid course (with Certificate)
- Class length: 10 courses 250+ hrs
- Project: Capstone project
★★★★★
More details + Enroll
MASTERS20
The score is based on the user experience, rated by the learners
PROS:
- Upon enrolling in the course, one can start with his convenience.
- Personal learning managers will assist you to clear your queries.
- You can always switch to another batch, depending upon your availability.
CONS:
- Masters Program is designed and developed only to accommodate various professional backgrounds.
- Need to improve the content on Essentials for Analytics.
- Course platform: Simplilearn
- Level: Advanced
- 30+ in-demand skills
- Lifetime access to self-paced learning and class recordings
- World’s #1 Online Bootcamp
- 12+ real-life projects providing hands-on industry training
- In collaboration with IBM
★★★★★
More details +The score is based on the user experience rated by the learners.
PROS:
- Beginners are welcome to this course.
- The courses are very well designed and the live classes have personal attention in terms resolving the doubts.
- Very informative and concise information provided on Statistics.
CONS:
- Requires a foundation in statistics and mathematics.
- Course platform: Edureka
- Level: For all
- Price: Paid course (with Certificate)
- Class length: 12 courses 250+ hrs
- Project: Capstone project
★★★★★
More details + Enroll
MASTERS20
The score is based on the user experience, rated by the learners
PROS:
- Data science master programs sub courses will let you gain expertise in data science domain.
- Immediate assistance from experts throughout the learning journey.
- No any prior requirements for enrollment of this course.
CONS:
- Lengthy elementary content of Python Statistics for Data Science Course.
- Master Program is designed and developed only to accommodate various professional backgrounds.
- Course platform: Simplilearn
- Level: Advanced
- Full lifetime access
- Paid course
- Class length: Approx. 68 hrs.
★★★★★
More details +The score is based on the quality of the course content & user experience as rated by the learners
PROS:
- Introductory and interactive course with highly talented trainers.
- Well organized and explanatory information provided.
- Projects will improve your Visualization about Python, Numpy, Pandas.
CONS:
- Lengthy preliminary content
- Course platform: Simplilearn
- Level: Advanced
- Full lifetime access
- Paid course
- Class length: Approx. 64 hrs.
★★★★★
More details +The score is based on the user experience, rated by the learners.
PROS:
- Welcome to beginners.
- Designed in a systematic manner.
- Well organized and explanatory information provided.
CONS:
- Lengthy preliminary content
- Course platform: Simplilearn
- Level: Advanced
- 30+ In-demand skills
- Lifetime access to self-paced
- Learning and class recordings
- World’s #1 Online Bootcamp
- 15+ Real-life projects providing
- Hands-on industry training
- In collaboration with IBM
★★★★★
More details +The score is based on the user experience rated by the learners.
PROS:
- Well-structured and excited material provided throughout the course.
- The animation in the lectures is very helpful and useful.
- Hands-on projects will assist you to clarify your all queries.
- Provided real-time scenarios with examples that will help you understand concepts better.
CONS:
- One should have basic knowledge of statistics and basic understanding of any programming language.
- Very lengthy elementary content.
- Course platform: Simplilearn
- Powered By: TensorFlow
- Level: Advanced
- Flexible schedule
- Paid course
- Class length: Approx. 34hrs.
★★★★★
More details +The score is based on the user experience, rated by the learners.
PROS:
- Courses are well structured with self-learning, live classes, and assessments.
- You will find Industry-based course-end project
- Dedicated mentoring session from faculty of industry experts
CONS:
- You should be familiar with programming fundamentals and Statistics Essentials
- Familiarity with concepts about Machine Learning
