Simplilearn

Simplilearn Online Courses

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  • 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.
Learning Experience
9.4
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.
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  • 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.
Learning Experience
9.8
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.
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  • 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.
Learning Experience
9.4
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.
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  • 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.
Learning Experience
9.2
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
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  • Simplilearn
  • Online Course
  • Instructor-led Self-paced
  • Advanced
  • 1-4 Weeks
  • Paid Course (Paid certificate)
  • English
  • Artificial intelligence Machine learning Natural language processing
The score is based on the user experience, rated by the learners
Learning Experience
9
PROS:
  • No need to have any programming 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.
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  • 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.
Learning Experience
9.4
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.
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  • 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
Learning Experience
9
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
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  • 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.
Learning Experience
8.4
PROS:
  • Welcome to beginners.
  • Designed in a systematic manner.
  • Well organized and explanatory information provided.
CONS:
  • Lengthy preliminary content
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  • Simplilearn
  • Online Course
  • Self-paced
  • Beginner
  • Less Than 24 Hours
  • Paid Course (Paid certificate)
  • English
  • Data Analysis Data Science Machine learning
The score is based on the user experience, rated by the learners.
Learning Experience
9.4
PROS:
  • Introductory and interactive course with highly talented trainers.
  • Well organized and explanatory information provided.
  • As this course has very clear and concise content, Virtually seems effortless to understand.
CONS:
  • Very basic information
  • Lengthy preliminary content
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