DATA SCIENCE

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Data-Science

OBJECTIVE 

This course serves as an introduction to the data science principles required to tackle real-world Including data problems in business and academia, Data acquisition, cleaning and aggregation, Data  analysis, Basic statistical and mathematical foundations for data science. 

EXIT PROFILE 

Complete Knowledge in Data science 

Basic Knowledge in R programming 

Data Modeling 

CAREER PATH 

Data Analysist 

Data Scientist 

FACULTY SKILL SET 

Knowledge in Data science 

Knowledge in R programming 

Knowledge in Machine Learning 

HARDWARE AND SOFTWARE REQUIREMENTS 

Operating System: Windows 7/8/10  

Minimum Memory: 1 GB  

Recommended Memory: 4 GB / 8 GB  

Minimum Disk Space: 160 GB  

Recommended Disk Space: 1 TB 

PREREQUISITE FOR STUDENTS  

Before attending this course, students must have:  

Knowledge in programming will be an added advantage 

Basic Knowledge in Data Structure & Algorithm. 

COURSE OUTLINE 

Machine learning basics 

Neural networks 

Probability & Statistics 

Regression & R square 

Recurrent neural networks 

Introduction to Deep Learning

Course Features

  • Lectures 73
  • Quizzes 0
  • Duration 72 hours
  • Skill level All levels
  • Language English
  • Students 0
  • Assessments Yes

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