Data Science
Data Science
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$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.
$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
$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
- 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.
- Simplilearn
- IBM
- Masters program
- Instructor-led
- Advanced
- Paid Course (Paid certificate)
- English
- Python R Scala
- Apache Spark
- Basic Maths Basic Scripting in Python Basic Scripting in R Fundamentals of calculus Linear Algebra Probability Basics Statistics Basics
- Artificial intelligence Data Science Data Science with 'Python' Deep learning Keras Machine learning Natural language processing TensorFlow
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.
- Simplilearn
- Online Course
- Self-paced
- Beginner
- Less Than 24 Hours
- Paid Course (Paid certificate)
- English
- Artificial intelligence Deep learning Machine learning
The score is based on the user experience, rated by the learners.
PROS:
- No need to have any programming or IT background.
- Designed in a systematic manner.
- Courses are well structured with self-learning, live classes, and assessments.
CONS:
- Lengthy preliminary content
- It should have detail practical information.
- Udacity
- Amazon Web Services Kaggle
- Microdegree
- Self-paced
- Advanced
- 1-3 Months
- Paid Course (Paid certificate)
- English
- Python
- Intermediate Machine Learning Proficiency in Python
- Data Engineering Data Science with 'Python' Deep learning Machine learning Natural language processing Software Engineering for Data Science
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.
Best seller
- Udemy
- 365 Careers
- Online Course
- Self-paced
- All levels
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Python
- Micorsoft Excel Tableau
- None Pre-requisite
- Big data Data Analysis Data Science Data Science with 'Python' Deep learning Machine learning Practical Statistics Probability 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.
- Simplilearn
- IBM
- Masters program
- Instructor-led
- Advanced
- Paid Course (Paid certificate)
- English
- Python R Scala
- Apache Hadoop Apache Spark
- Fundamentals of calculus Linear Algebra Probability Basics Statistics Basics
- Apache Hadoop Training Apache Spark Training Big data Data Science Data Science with 'Python' Data Science with 'R' Deep learning Keras Machine learning SQL for Data Science Tableau TensorFlow
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.
$1,499.00
- Edureka
- Masters program
- Instructor-led Self-paced
- Advanced
- Paid Course (Paid certificate)
- English
- Python R Scala
- Apache Spark Tableau
- Apache Spark Training Data Science Data Science with 'Python' Data Science with 'R' Deep learning Machine learning Scala Tableau TensorFlow
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.
- Codecademy
- Microdegree
- Self-paced
- Beginner
- 3+ Months
- Paid Course (Paid certificate)
- English
- Python
- None Pre-requisite
- Data Analysis Data Manipulation Data Science Data Science with 'Python' Data Visualization Data Wrangling Deep learning Natural language processing SQL for Data Science