Data Science Introductory Training

There is great demand for professionals who can turn data analysis into competitive advantage for their organizations. This learning path will train you to use development frameworks such as Hadoop, Spark & R to process huge amounts of data and thrive in your big data career. The field of data science begins with understanding and working with the core technology frameworks used for analyzing big data. You’ll learn the developmental and programming frameworks Hadoop and Spark used to process massive amounts of data in a distributed computing environment.

  • 2 Days Workshop
  • Completion Certificate awarded by GKK

  • BASED ON REQUEST
  • Please contact us directly for more details

DAY1


Introduction to Data Science

What is Data?
Types of Data
What is Data Science?
Knowledge Check
Lab Activity

Data Science Workflow

Data Gathering
Data Preparation & Cleansing
Data Analysis – Descriptive, Predictive & Prescriptive

Data Visualisation & Model

Deployment
Knowledge Check

Life of Data Scientist

What is a Data Scientist

Data Scientist Roles

What Does a Data Scientist Look Like?
T-Shaped Skillset
Data Scientist Roadmap
Data Scientist Education Framework
Thinking like a Data Scientist
Knowns & Unknowns
Demand & Opportunity
Labour Market
Applications of Data Science
Data Science Principles
Data-Driven Organisation
Developing Data Products
Knowledge Check

Data Gathering

Obtaining Data from Online Repositories

Importing Data from Local File Formats (json, xml)

Importing Data Using Web API
Scraping Website for Data
Knowledge Check

DAY2


Data Science Prerequisites

Probability and Statistics
Linear Algebra
Calculus
Combinatorics
Programming

Beginning Databases

Types of Databases
Relational Databases
NoSQL
Hybrid Databases
Lab Activity

Structured Query Language (SQL)

Performing CRUD (Create, Retrieve, Update, Delete)
Designing a Real World Database
Normalising a Table
Knowledge Check
Lab Activity

Introduction to Phyton

Basics of Python Language
Functions and Packages
Python Lists
Functional Programming in Python
Numpy & Scipy
iPython
Knowledge Check

Lab Activity: Exploring Data Using Python

What are the course objectives?


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Who should take the course?


  • Software developers
  • IT managers
  • Service management professionals
  • Technology Managers

Who is your trainer for the program?


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We offer the following options:


  • Cash
  • HRDF Claimable
  • Maybank Ezpay (Up to 24 months @ 0% Interest)
  • CIMB Easy Pay (Up to 12 months @ 0% Interest)
  • Cash Installment (Case by case basis)

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