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IBM - Data Analytics Using R from Edvancer 

  • Offered byEdvancer

Data Analytics Using R from Edvancer
 at 
Edvancer 
Overview

A comprehensive overview of Data Analytics Using R from Edvancer

Duration

120 hours

Total fee

5,000

Mode of learning

Online

Credential

Certificate

Data Analytics Using R from Edvancer
 at 
Edvancer 
Highlights

  • Earn certificate after completing this course
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Data Analytics Using R from Edvancer
 at 
Edvancer 
Course details

What are the course deliverables?
  • Basics of Python Scripting
  • Interpreter Vs compiler
  • Installation of Python
  • Basic python syntax
  • Data types conversion
  • Native data types of Python - lists, dictionaries, tuples
  • Modular programming in Python
  • Functions in python
  • Creating user defined functions
  • Calling functions
  • Advanced scripting techniques in python
  • List comprehensions in Python
  • Using functions in python(variable inputs also)
  • Use of one line for loops
  • Lambda, reduce, map functions
  • Exception Handling
  • Try-Except
  • Custom Exception method
  • File I/O(optional)
More about this course
  • This training is in collaboration with IBM Edtech Partner and Powered by IBM Cloud
  • The focus of this training is to give the student hands-on experience to one of the hottest technologies that is revolutionizing the computer industry
  • The student will be taught on how to implement machine learning algorithms using the IBM Watson platform
  • After the training the student will also be given a project by IBM Edtech Partner for the student to gain a real-life industry exposure

Data Analytics Using R from Edvancer
 at 
Edvancer 
Curriculum

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Data Analytics Using R from Edvancer
 at 
Edvancer 
Students Ratings & Reviews

4/5
Verified Icon1 Rating
M
Manu Mahato
Data Analytics Using R from Edvancer
Offered by Edvancer
4
Learning Experience: When I was searching for it, I thought that at that time it must be an average course at an average college, but when I arrived at the college, literally I was surprised to see that the professors were very good at the college.
Faculty: I have already said that the university was too good. It's too good for me, but if you have chosen the course then one thing always remember is that the assignments of this course are too large.
Course Support: Yeah, it's hard to say, but the course was too useful for me and who chose it.
Reviewed on 11 Dec 2023Read More
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Data Analytics Using R from Edvancer
 at 
Edvancer 

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