README.md

Learning Journey: Data Science

Introduction to DataScience (Module 1)

This module provides insights on Data Science Process and Data Products

Overview of Data Science

During this session you'll learn about Data Science, the goals and objectives of the Data Science Specialization and each of its components. You'll also get to know why data scientists are now in such demand, and the skills required to succeed in different jobs. Different business cases are presented during session implementation as case studies to view and discuss the data science economical potential.

Key Issues

• What is Data Science and its History
• Data science demand
• Business cases and economical potential
• the impact of data size
• Big data vs. Data Science
• The role of a data scientist and their impact on this field
• Data science life cycel
• Data types: structured, ustructured and everything in between

Module Outline

Intro to Data Science Module Outline

Module Schedule

• Day 1: Overview on Data Science

Introduction: What is data science? Process. Why is it important? Who are we? Module overview.

• Day 2: Git and installing python. Basic Python.

what is Data? Intro to Exploratory Data Analysis

• Data Product Design and Business Plan

Project Scope, problem statment, System Requirments, idea stack framework and business Plan

Project Deliverables

• SRS
• Data Product Design
• User Interview
• [user Interview HandBook][http://projects.iq.harvard.edu/files/harvarduxgroup/files/ux-research-guide-sample-questions-for-user-interviews.pdf]