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$19.99
- Udemy
- Online Course
- Self-paced
- Beginner
- Less Than 24 Hours
- Paid Course (Paid certificate)
- English
- Python
- Jupyter Notebook
- Basic Scripting in Python
- Data Cleaning Python Programming
PROS:
- Well designed course content
- Every concept is explained very well
- Programming aspects of each concept can be understood by anyone who has basic knowledge of Python.
CONS:
- The example code is mostly list based instead of data frame-based
$99.00
- EDX
- Harvard University
- Online Course
- Self-paced
- Beginner
- 1-3 Months
- Free Course (Affordable Certificate)
- English
- R
- RStudio
- Recommended Preceding Courses
- Data Science Machine learning Probability Recommendation Systems Regression Analysis
From classcentral.com
PROS:
- Good course with popular data science methodologies
- You will learn about training data, and use a set of data to discover potentially predictive relationships
CONS:
- Need to improve assignments
- Some important algos not included in the Course content (SVM, Boosting)
$99.00
- EDX
- Harvard University
- Online Course
- Self-paced
- Beginner
- 1-4 Weeks
- Free Course (Affordable Certificate)
- English
- R
- Recommended Preceding Courses
- Data Analysis Data Science Data Science with 'R'
PROS:
- You will learn to apply skills learned to a real-world problem.
- Good course to learn fundamental R programming skills
- Statistical concepts well explained.
CONS:
- The course teaches data science using R programming, though Python is the most popular language.
$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.
- Skillshare
- Sundog Education
- Online Course
- Beginner
- Less Than 24 Hours
- Free Trial (Paid Course & Certificate)
- Self-paced
- English
- Python
- Apache Spark
- None Pre-requisite
- Apache Spark Training Data Science Data Science with 'Python' Data Visualization Machine learning Probability Recommendation Systems Regression Analysis Reinforcement learning
The score is based on the user experience, rated by the learners.
PROS:
- One can start without any programming background.
- Concise implementation of basic algorithms.
- Very informative lessons on regression & Reinforcement.
CONS:
- This course needs to have in-depth exercises.
- Need more description on models (Specifically hyperparameters).
- Simplilearn
- Online Course
- Self-paced
- Advanced
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Apache Hadoop Training Apache Spark Training Data Analysis Data Science Data Science with 'Python' Machine learning Natural language processing
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
- Udacity
- Mode
- Microdegree
- Self-paced
- Beginner
- 1-3 Months
- Paid Course (Paid certificate)
- English
- Python
- Jupyter Notebook
- Basic Computer Literacy
- Data Science Data Science with 'Python' SQL for Data Science
The score is based on the user experience, rated by the learners.
PROS:
- The exercises on each chapter will provide more clarity.
- Effective projects will help you to apply the lessons learned in the course.
- Well-structured, engaging and informative program will definitely surpass your expectations.
CONS:
- Should increase time on each lesson.
- Need to be familiar with some basic mathematics algorithms.
- It should have covered the basic points.
- Simplilearn
- Online Course
- Self-paced
- Advanced
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Data Analysis Data Science Data Science with 'R' Machine learning
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
- Skillshare
- Sundog Education
- Online Course
- Self-paced
- Intermediate
- Less Than 24 Hours
- Paid Course (Paid certificate)
- English
- Deep learning Keras Machine learning Natural language processing TensorFlow
The score is based on the user experience, rated by the learners.
PROS:
- Good introductory course on Deep Learning.
- Demystifying a lot of terms and concepts, explain in a simple and clear way.
- Recommended by learners as an intermediate level course.
CONS:
- Need more description on models (Specifically hyperparameters).
- Simplilearn
- Online Course
- Instructor-led Self-paced
- Advanced
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Python
- Basic Maths Intermediate Machine Learning Statistics Basics
- Artificial intelligence Deep learning Keras Neural Networks Pytorch TensorFlow
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
$194.99
- Udemy
- Lazy Programmer Team Inc.
- Online Course
- Self-paced
- Intermediate
- 1-4 Weeks
- Paid Course (Paid certificate)
- English
- Python
- Basic Maths Basic Scripting in Python
- Data Science Data Science with 'Python' Data Visualization Deep learning Machine learning Neural Networks Reinforcement learning TensorFlow
The score is based on the user experience, rated by the learners
PROS:
- Good instructors narration flow and technical expertise
- Easily understandable content with high efficiency.
CONS:
- It should focus on key parts of the tensor flow code.
- Need to spend more time on basic mathematical background knowledge.
- Matrix multiplication and some other pillars in linear algebra needs more information.
$149.00
- EDX
- Harvard University
- Professional Certificate
- Self-paced
- Beginner
- 1-3 Months
- Free Course (Affordable Certificate)
- English
- R
- Git RStudio
- Up-to-date browser required for programming
- Data Science Data Science with 'R' Data Visualization Data Wrangling Machine learning Practical Statistics Probability Regression Analysis