What is Data Science?
Exam Code : IBM

Live Virtual Class

Online Class

Private Class

Public Class

Key points about this course

Duration : 2 Days
Public Class : RM3,000.00
Live Virtual Class : RM3,000.00
HRDF Claimable
Course Overview

The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.

This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:
  • Key Technologies for Business Specialization
  • IBM AI Foundations for Business Specialization
  • IBM Data Science Professional Certificate
  • Introduction to Data Science Specialization

The training is available on face to face class room training or live virtual or online class. 

Course Content

Module 1: Defining Data Science and What Data Scientist Do

  • What is Data Science?
  • Fundamentals of Data Science
  • The Many Paths to Data Science
  • Advice for New Data Scientists
  • A day in the Life of a Data Scientist
  • Old problems, new problems, Data Science solutions
  • Data Science Topics and Algorithms
  • Data Science Topics and Algorithms

Module 2: Data Science Topics

  • Foundations of Big Data
  • What is Hadoop?
  • How Big Data is Driving Digital Transformation
  • Data Science Skills & Big Data
  • Data Scientists at New York University
  • What's the difference?
  • Neural Networks and Deep Learning
  • Applications of Machine Learning

Module 3: Data Science in Business

  • How Should Companies Get Started in Data Science?
  • Applications of Data Science
  • How Can Someone Become a Data Scientist?
  • Recruiting for Data Science
  • Careers in Data Science

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