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$1,499.00
- Edureka
- Masters program
- Instructor-led Self-paced
- All levels
- Paid Course (Paid certificate)
- English
- Apache Cassandra Apache Kafka Big data Data Science Hadoop Machine learning Scala Spark
The score is based on the user experience as rated by the learners.
PROS:
- Well designed curriculum
- Covers important aspects to master Big Data
CONS:
- Not enough reviews
$1,499.00
- Edureka
- Masters program
- Instructor-led
- All levels
- Paid Course (Paid certificate)
- English
- Informatica Power BI Tableau Teradata
The score is based on the user experience as rated by the learners.
PROS:
- Well structured curriculum
- Includes top five skills in business intelligence
- Customer centered applied project
CONS:
- Not enough reviews
$1,099.00
- Edureka
- Masters program
- Instructor-led Self-paced
- All levels
- Paid Course (Paid certificate)
- English
- AWS Cloud computing Data Science Data Science with 'Python' DevOps
The score is based on the user experience as rated by the learners.
PROS:
- User with minimal IT experience found this course valuable
- Course begins with basics in Python and fundamentals of cloud computing
- Program curriculum is well designed
CONS:
- No user feed back / reviews for this program
Best seller
- Udemy
- 365 Careers
- Online Course
- Self-paced
- All levels
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Data Analysis Data Science Data Science with 'Python' Deep learning TensorFlow
The score is based on the user experience, rated by the learners
PROS:
- Jam-packed with a good balance of technical and practical information.
- Extremely eye-catching design and presentation. The way content is delivered on the screen is very attractive.
- The exercises are very informative, exhaustive and detailed.
- One can commence without any prior programming experience.
- Realistic approach, balanced theories and practice.
CONS:
- Need to expand details on other classifiers such as knn, SVMs and decision trees.
- Need to add basic mathematics calculus.
- Lengthy content on topics such as probability and stats.
$389.00
- Edureka
- Online Course
- Instructor-led
- All levels
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Data Analysis Data Science with 'R' Machine learning Natural language processing
The score is based on the user experience, rated by the learners
PROS:
- Well-structured programs and project submissions.
- Good overview and insight on the real world application.
- Interactive training method and interesting content.
CONS:
- This course needs to have in-depth exercises.
- Need more description for the topics- Linear regression & data mining
- Edureka
- Online Course
- Instructor-led
- All levels
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Data Science Data Science with 'R' Hadoop Machine learning Spark
The score is based on the user experience, rated by the learners
PROS:
- Excellent content will clear your conceptually doubts.
- Good collaboration of practical & theoretical knowledge.
- Systematic, well organized and supportive faculties.
CONS:
- Lengthy elementary content.
- Need brief information about R programming.
$1,099.00
- Edureka
- Masters program
- Instructor-led Self-paced
- All levels
- Paid Course (Paid certificate)
- English
- Data Engineering Data Science DevOps
The score is based on the user experience as rated by the learners.
PROS:
- Hands on experience with industry experts
- You can gain end-to-end skills in DevOps
- Quora review: Course has everything to make you DevOps professional
- Quora review: Very comprehensive, syllabus conforming standards required by IT industry
CONS:
- Quora review: Expensive program
$49.00
- Coursera
- École Polytechnique
- Online Course
- Self-paced
- All levels
- 1-4 Weeks
- Free Course (Affordable Certificate)
- English
- Editing and proofreading Getting Scientific publications Personal development Publishing Writing
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- Excellent way to start writing your own scientific paper
- Course is well structured that guides a research scholar
- Interviews and peer-graded assignments are very helpful
- Practical experience on how to write a scientific paper
CONS:
- Basic course for those starting with scientific writing
- Need to integrate more practicle information
Best seller
$199.99
- 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.
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.
- Coursera
- Stanford University
- Online Course
- Self-paced
- All levels
- 1-3 Months
- Free Course (Affordable Certificate)
- English
- Deep learning Machine learning
The score is based on the quality of the course content & user experience as rated by the learners
PROS:
- A complete and outstanding summary of main learning algorithms.
- Precise presentation of mathematical and statistic concepts behind each algorithm.
CONS:
- Python has not been included
- The quizzes are very basic
- Edureka
- Masters program
- Instructor-led
- All levels
- Paid Course (Paid certificate)
- English
- Data Science with 'Python' Deep learning Machine learning Natural language processing Reinforcement learning Spark TensorFlow
The score is based on the user experience as rated by the learners.
PROS:
- This course will give you an edge over other competing candidates for job
- Course covers almost all corners of the data science and machine learning
CONS:
- Not enough reviews
$349.00
- Edureka
- Online Course
- Instructor-led
- All levels
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Data Science Data Science with 'Python' Machine learning
The score is based on the user experience, rated by the learners
PROS:
- Batches are available in very convenient time slots.
- Excellent presentation of detailed data wrangling.
- Explanations are easy, clean and very easy to understand.
CONS:
- You should be familiar with programming fundamentals and Statistics Essentials
- One should have familiarity with basic concepts about Python programming.