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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.
$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
$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.
- 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.
- Udacity
- Bertelsmann Figure eight an appen co. IBM Insight Kaggle Starbucks
- Microdegree
- Self-paced
- Advanced
- 3+ Months
- Paid Course (Paid certificate)
- English
- Python
- Jupyter Notebook
- Basic Maths Basic Scripting in Python Basic SQL Data Visualization Data Wrangling Fundamentals of calculus Linear Algebra Machine Learning Basics Probability Basics Statistics Basics
- Apache Spark Training Data Engineering Data Science Data Visualization Machine learning Natural language processing Software Engineering for Data Science
The score is based on the user experience, rated by the learners.
PROS:
- Program is comprehensive with all the required data.
- Transparent explanations and the exercises helps a lot to understand the content.
- Commencement with fundamental algorithm(math) before you implement it.
CONS:
- Need to add more related lessons for each algorithm.
- You should be familiar with SQL programming and statistics.
- Hands-on with wrangling and visualizing data.
- 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.
$149.00
- EDX
- Harvard University
- Online Course
- Self-paced
- Advanced
- 1-3 Months
- Free Course (Affordable Certificate)
- English
- Bioinformatics Data Analysis Genomics Research methodology
The score is based on the quality of the course content & user experience as derived from coursetalk.com
PROS:
- Project is a great idea for all people who had a real interest for less that is the course or the time of study in a great university.
- Throughout the case studies, you make use of exploratory plots to get a general overview.
- Given the diversity in educational background of students you will find the series divided into seven parts.
- Statisticians can consider skipping the first two or three courses.
CONS:
- Need prior knowledge of PH525.3x, PH525.4x.
- Could simplify the courses.
- Need more elaboration on some course topics.
- Simplilearn
- IBM
- Masters program
- Instructor-led Self-paced
- Advanced
- Paid Course (Paid certificate)
- English
- Data Analysis Data Science with 'Python' Data Science with 'R' Power BI Tableau
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.
$1,099.00
- Edureka
- Masters program
- Instructor-led Self-paced
- Advanced
- Paid Course (Paid certificate)
- English
- R
- Power BI RStudio Tableau
- Data Analysis Data Manipulation Data Mining Data Science with 'R' Data Visualization Power BI Practical Statistics Regression Analysis SAS Tableau
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.
$49.00
- Coursera
- NRU Higher School of Economics
- Online Course
- Self-paced
- Advanced
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Python
- Machine Learning Basics Proficiency in Python
- Data Analysis Data Science Feature Engineering Predictive Modelling
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- Good and easy explanations on validation and metrics.
- Excellent framework for additional applications of projects.
- Chock full of practical information that is presented clearly and concisely.
- Packed with full of tips and tricks and techniques that are well explained and very useful for data science.
CONS:
- There are some pretty advanced tricks.
- Need to improve content on introductory-level material.
- Bit complex for those who do not have a good knowledge base on the subject of Machine learning.