Data Science Introductory Training
2 Days Program
Course Outline
Day 1
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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
Day 2
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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
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FAQ
Who should take the course?
- Software developers
- IT managers
- Service management professionals
- Technology Managers