Data Science
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$199.99
- Udemy
- Online Course
- Self-paced
- Beginner
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Python
- Python Programming
$29.99
- Udemy
- Lazy Programmer Team Inc.
- Online Course
- Self-paced
- Advanced
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Artificial intelligence Data Science with 'Python' Deep learning TensorFlow
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.
$149.00
- EDX
- Harvard University
- Online Course
- Self-paced
- Advanced
- 1-4 Weeks
- Free Course (Affordable Certificate)
- English
- Bioinformatics Data Analysis Genomics Research methodology
The score is based on the user experience as derived from class-central.com
PROS:
- The course makes up two self-paced Professional Certificates.
- Detailed information on advanced statistical concepts such as hierarchical models.
- Given the diversity in educational background of students they have divided the series into seven parts.
- Minimal time investment that yields a decent introduction to RNA-seq analysis.
CONS:
- Need more elaboration on some course topics.
- Massive datasets generated by these studies.
- Should increase the number of a programming exercise.
$49.00
- Coursera
- IBM
- Microdegree
- Self-paced
- Advanced
- 3+ Months
- Paid Course (Paid certificate)
- English
- Python
- Jupyter Notebook Watson Studio
- Basic Maths Basic Scripting in Python Basic SQL
- Apache Spark Training Apache System Big data Data Science Data Science with 'Python' Deep learning Keras Machine learning Practical Statistics Pytorch 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
$79.00
- Coursera
- IBM
- Online Course
- Self-paced
- Advanced
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Python
- Apache Spark Training Apache System Machine learning Signal processing
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- Career changer course, giving you hands-on experience.
- Learn theory behind signal processing
- Good course content and nice visualization
CONS:
- Audio quality of guest lectures needs improvement
- As the course level is advanced, comparatively coding assignments are much easy.
$49.00
- Coursera
- NRU Higher School of Economics
- Microdegree
- Self-paced
- Advanced
- 3+ Months
- Paid Course (Paid certificate)
- English
- Python
- Linear Algebra Machine Learning Basics Probability Basics Proficiency in Python
- Data Analysis Data Science Deep learning Feature Engineering Machine learning Natural language processing Neural Networks TensorFlow
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.
$199.00
Enroll
LIMITED25
- Edureka
- Online Course
- Self-paced
- Advanced
- Paid Course (Paid certificate)
- English
- R
- Basic Scripting in R
- Data Analysis Data Science Data Science with 'R' Deep learning Regression Analysis
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.
- Udacity
- Microdegree
- Self-paced
- Beginner
- 1-3 Months
- Paid Course (Paid certificate)
- English
- Python
- Jupyter Notebook
- Basic Computer Literacy Linear Algebra Previous Programming Experience
- Artificial intelligence Calculus Essentials Data Science with 'Python' Deep learning Linear Algebra Essentials Neural Networks Pytorch
The score is based on the user experience, rated by the learners.
PROS:
- Excellent course for learning the fundamentals of AI.
- As compared to other training programs it is clear and meaningful.
- Concise and beginner friendly course material provided.
- Math concepts explanations are awesome.
CONS:
- Lesson on matplotib and seaborn needs more explanation.
- Very lengthy elementary content.
$199.99
- Udemy
- Lazy Programmer Team Inc.
- Online Course
- Self-paced
- Intermediate
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Python
- Basic Scripting in Python Fundamentals of calculus Machine Learning Basics Probability Basics
- Artificial intelligence Data Science with 'Python' Feature Engineering Machine learning Reinforcement learning
The score is based on the user experience, rated by the learners
PROS:
- Excellent veteran instructor’s explanation and teaching process.
- All math is thoroughly explained and ambiguities clarified.
- It will absolutely clear your theory and math concept.
CONS:
- Should give focus on more use of animations and visual learning.
- Need improvement in balance between theory of RL and practical’s.
- Codecademy
- Online Course
- Self-paced
- Beginner
- 1-3 Months
- Paid Course (Paid certificate)
- English
- Python
- Jupyter Notebook
- None Pre-requisite
- Data Analysis Data Manipulation Data Science Data Science with 'Python' Data Visualization Practical Statistics
- Codecademy
- Online Course
- Self-paced
- Beginner
- 3+ Months
- Paid Course (Paid certificate)
- English
- R
- None Pre-requisite
- Data Cleaning Data Science Data Science with 'R' Data Visualization Practical Statistics Regression Analysis
$199.00
- EDX
- Harvard University
- Online Course
- Self-paced
- Intermediate
- 1-3 Months
- Free Course (Affordable Certificate)
- English
- Python
- Google Colab
- Basic Scripting in Python Colab Basics Embedded Systems Basics Fundamentals of TinyML Machine Learning Basics
- Artificial intelligence Data Science Data Science with 'Python' Machine learning TinyML
PROS:
- This course features real-world case studies, guided by industry leaders.
- Detailed elaboration of principles of Visual Wake Words.
- Official and verified, easily shareable course completion certificate available.
CONS:
- Prior knowledge of fundamentals of TinyML course or sufficient relevant experience.
- Not for newbies, basic Scripting in Python and usage of Colab.