Everyday buzzwords like "analytics," "insights" and "big data," permeate the pages of our business journals. Companies and departments are aware of their huge troves of data, and they have access to common tools for leveraging this data. However, much less available are the actual analysis skills to truly understand and realize the benefits of this information. The potential is very real, but comprehensive skills can be scarce, and outside consultants are expensive. If you have a basic familiarity with Excel, this three-day course can teach you practical applied analysis techniques to leverage data for relatively common decision-making methods.
COURSE OBJECTIVES
COURSE OUTLINE
Day 1
Introduction to Data Science
§What is Data Science
§Goal of DS
§DS Steps
§DS Workflow
§DS Skill
§DS Roles
§DS Tools
§Roles & Tools
Data Science Process
§process
§Interpret data
§Examples
Data Analytics
§What is
§DA Compare with DS
§Types of DA
§Analytic Data
§Collect Data
§Analyze
§Make Decision
§Communicate
§Distributed Value
§Raw Data
§Dimension Data
§Data Attribute
§Examples
Day 2
Math & Statistic & Probability
§Math in DS
§Probability
§Normal Distribution
§Examples
Review Python
§Introduction to Python
§What is Python?
§Why Python
NTC เปิดอบรมหลักสูตร Data Analytics with Python (อบรมเป็นภาษาไทย)
คุณสมบัติของผู้เข้าอบรม
Data Scientist, Data Analyst, IT Business Analyst, Anyone involved in operations, project management, business analysis, or management who needs an introduction to Data Analysis