Data Analytics
Data Analytics
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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
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.
- Course platform: Simplilearn
- Level: Advanced
- 30+ in-demand skills
- Lifetime access to self-paced learning and class recordings
- World’s #1 Online Bootcamp
- 12+ real-life projects providing hands-on industry training
- In collaboration with IBM
★★★★★
More details +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.
- 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
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
- Course platform: Simplilearn
- Level: Beginner
- Full lifetime access
- Paid course
- Class length: Approx. 10 hrs.
★★★★★
More details +The score is based on the user experience, rated by the learners.
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
Best seller 
- Course Platform: Udacity.
- Level: Intermediate.
- Price: Paid Course.
- Class length: Approx.<4 Months.
★★★★★
More details +The score is based on the user experience, rated by the learners.
PROS:
- Informative content as well as format of the video materials.
- Provides high quality lectures with many real industry cases plus tons of hands-on projects.
- The lectures and short exercises are well arranged.
CONS:
- One must have glimpses of Python standard libraries.
- Need some working experience with Pandas and NumPy.
- Need to reduce complexity of the course.
- Course platform: EDX
- Offered by: UCSanDiegoX University
- Level: Advanced
- Price: FREE Course (paid Certificate)
- Class length: Approx. 10 weeks (10-12 hrs/week)
Best seller
- Course platform: EDX
- Offered by: Harvard University
- Level: Beginner
- Price: Paid Course (paid Certificate)
- Class length: 1 Year, 5 months (2-3 hrs/week)
- Course platform: Edureka
- Lifetime Access
- Level: Intermediate
- Price: Paid course (with Certificate)
- Class length: Approx. hrs.
★★★★★
More details +The score is based on the user experience, rated by the learners
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.
