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$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.
$39.00
- Coursera
- IBM
- Microdegree
- Self-paced
- Beginner
- 3+ Months
- Paid Course (Paid certificate)
- English
- Python
- None Pre-requisite
- Artificial intelligence Data Analysis Data Science Data Science with 'Python' Data Visualization Predictive Modelling
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- No need for any prior experience.
- Focused on Python fundamentals.
- Hands on experience with practical skills.
CONS:
- Needs to cover some courses in detail for a better understanding
- Needs improvement in instructional videos
- 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.
$1,499.00
- Edureka
- Masters program
- Instructor-led
- All levels
- Paid Course (Paid certificate)
- English
- Power BI Tableau
- None Pre-requisite
- Data Analysis Data Mining Data Science Data Visualization 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
$39.00
- Coursera
- IBM
- Microdegree
- Self-paced
- Beginner
- 3+ Months
- Paid Course (Paid certificate)
- English
- Cyber attacks Cybersecurity
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- Course gives much details about administration and infrastructure services.
- Learn more about the data breaches, cyber threats and soc. intelligence.
- Good exercise to use skills and information obtained through this course.
CONS:
- Needs improvement in audio quality
- More graded hands-on lab should be provided.
$39.00
- Coursera
- IBM
- Microdegree
- Self-paced
- Beginner
- 3+ Months
- Paid Course (Paid certificate)
- English
- Micorsoft Excel
- Up-to-date browser required for programming
- Cognos Analytics Data Analysis Data Science Data Visualization Microsoft Excel
The score is based on the quality of the course content & user experience as rated by the learners
PROS:
- Final assignment gives an exact idea about Data analysis
- Gives good ideas and examples of career paths
- Very good for a beginner and intermediate learner
CONS:
- Only introductory info on Cognos
- It would also be helpful to show demos
- 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.
$49.00
- Coursera
- IBM
- Microdegree
- Self-paced
- Beginner
- 3+ Months
- Paid Course (Paid certificate)
- English
- Artificial intelligence Data Engineering Data Science Data Science with 'Python' SQL
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- Hands-on experience with Python, SQL & fundamentals of the Data Engineering ecosystem.
- Very informative and well-structured courses.
- Good for getting acquainted with programming.
CONS:
- Needs more practice material on connection to a database and use of SQL magic.
- Issues with IBM cloud connectivity.
$39.00
- Coursera
- IBM
- Microdegree
- Self-paced
- Beginner
- 3+ Months
- Paid Course (Paid certificate)
- English
- Python R Scala
- Git Jupyter Notebook RStudio Watson Studio
- None Pre-requisite
- Artificial intelligence Data Analysis Data Science Data Science with 'Python' Data Visualization Practical Statistics Probability
The score is based on the quality of the course content & user experience as rated by the learners.
PROS:
- No prior knowledge of programming languages required.
- Very well designed final assignment.
- Good to improve your Python skills.
- Well-structured courses.
CONS:
- Challenging for non-statisticians.
- Project needs some Python coding.
- Needs to update the material since some tools have changed.
- 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.