Edureka

Edureka Online Courses

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  • Course platform: Edureka
  • Level: For all
  • Price: Paid course (with Certificate)
  • Class length: 11 courses 200+ hrs
  • Project: Capstone project
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MASTERS20
The score is based on the user experience as rated by the learners.
Learner rating
8.4
PROS:
  • Well structured curriculum
  • Includes top five skills in business intelligence
  • Customer centered applied project
CONS:
  • Not enough reviews
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  • Course platform: Edureka
  • Level: All
  • Price: Paid course (with Certificate)
  • Class length: 9 courses 200+ hrs
  • Project: Capstone project
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MASTERS20
The score is based on the user experience as rated by the learners.
Learner rating
9
PROS:
  • This course will give you an edge over other competing candidates for job
  • Course covers almost all corners of the data science and machine learning
CONS:
  • Not enough reviews
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  • Course platform: Edureka
  • Level: All
  • Price: Paid course (with Certificate)
  • Class length: 9 courses 200+ hrs
  • Project: Capstone project
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Enroll
MASTERS20
The score is based on the user experience as rated by the learners.
Learner rating
8.8
PROS:
  • Well designed curriculum
  • Covers important aspects to master Big Data
CONS:
  • Not enough reviews
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  • Course platform: Edureka
  • Level: All
  • Price: Paid course (with Certificate)
  • Class length: 10 courses 200+ hrs
  • Project: Capstone project
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MASTERS20
The score is based on the user experience as rated by the learners.
Learner rating
9
PROS:
  • Hands on experience with industry experts
  • You can gain end-to-end skills in DevOps
  • Quora review: Course has everything to make you DevOps professional
  • Quora review: Very comprehensive, syllabus conforming standards required by IT industry
CONS:
  • Quora review: Expensive program
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  • Course platform: Edureka
  • Level: All
  • Price: Paid course (with Certificate)
  • Class length: 12 courses 200+ hrs
  • Project: Capstone project
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MASTERS20
The score is based on the user experience as rated by the learners.
Learner ratings
8.8
PROS:
  • User with minimal IT experience found this course valuable
  • Course begins with basics in Python and fundamentals of cloud computing
  • Program curriculum is well designed
CONS:
  • No user feed back / reviews for this program
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  • Course platform: Edureka
  • Level: For all
  • Price: Paid course (with Certificate)
  • Class length: 10 courses 250+ hrs
  • Project: Capstone project
More details +
Enroll
MASTERS20
The score is based on the user experience, rated by the learners
Learner rating
9
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.
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  • Course platform: Edureka
  • Level: For all
  • Price: Paid course (with Certificate)
  • Class length: 12 courses 250+ hrs
  • Project: Capstone project
More details +
Enroll
MASTERS20
The score is based on the user experience, rated by the learners
Learner rating
9
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.
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  • Course platform: Edureka
  • Level: Advanced
  • Price: Paid course (with Certificate)
  • Class length: Approx. hrs.
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The score is based on the user experience, rated by the learners
Learner rating
9
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.
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  • Course platform: Edureka
  • Lifetime Access
  • Level: Intermediate
  • Price: Paid course (with Certificate)
  • Class length: Approx. hrs.
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The score is based on the user experience, rated by the learners
Learner rating
9
PROS:
  • Well presented module with good pace.
  • Overall course material, description and homework will let you gain expertise in this domain.
  • Constant updation on courses with 24X7 support with instant response from faculties.
CONS:
  • Need to update more information on topics such as Statistical Inference.
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  • Course platform: Edureka
  • Lifetime Access
  • Level: All Levels
  • Price: Paid course (paid Certificate)
  • Class length: Approx. 44 hrs
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The score is based on the user experience, rated by the learners
Learner rating
9.5
PROS:
  • Batches are available in very convenient time slots.
  • Excellent presentation of detailed data wrangling.
  • Explanations are easy, clean and very easy to understand.
CONS:
  • You should be familiar with programming fundamentals and Statistics Essentials
  • One should have familiarity with basic concepts about Python programming.
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  • Course platform: Edureka
  • Lifetime Access
  • Level: All Level
  • Price: Paid course (with Certificate)
  • Class length: Approx. 30 hrs
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The score is based on the user experience, rated by the learners
Learner rating
9.5
PROS:
  • Excellent content will clear your conceptually doubts.
  • Good collaboration of practical & theoretical knowledge.
  • Systematic, well organized and supportive faculties.
CONS:
  • Lengthy elementary content.
  • Need brief information about R programming.
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  • Course platform: Edureka
  • Lifetime Access
  • Level: All Level
  • Price: Paid course(with Certificate)
  • Class length: Approx.30 hrs.
More details +
The score is based on the user experience, rated by the learners
Learner rating
9.5
PROS:
  • Well-structured programs and project submissions.
  • Good overview and insight on the real world application.
  • Interactive training method and interesting content.
CONS:
  • This course needs to have in-depth exercises.
  • Need more description for the topics- Linear regression & data mining
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