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Intro to Data and Data Science
The different data science fields
Welcome to Intro to Data and Data Science (0:39)
Welcome to the Course
Why are there so many business and data science buzzwords? (5:21)
Analysis vs Analytics (3:50)
Intro to Business Analytics, Data Analytics, and Data Science (8:26)
Adding Business Intelligence (BI), Machine Learning (ML), and Artificial Intelligence (AI) to the picture (9:31)
An Overview of our Data Science Infographic (4:03)
The relationship between different data science fields
When are Traditional data, Big Data, BI, Traditional Data Science and ML applied? (7:19)
What is the purpose of each data science field
Why do we need each of these disciplines? (3:46)
Common data science techniques
Traditional Data: Techniques (8:13)
Traditional Data: Real-life Examples (1:44)
Big Data: Techniques (4:26)
Big Data: Real-life Examples (1:32)
Business Intelligence (BI): Techniques (6:45)
Business Intelligence (BI): Real-life Examples (1:42)
Traditional Methods: Techniques (9:08)
Traditional Methods: Real-life Examples (2:45)
Machine Learning (ML): Techniques (6:55)
Machine Learning (ML): Types of Machine Learning (8:13)
Machine Learning (ML): Real-life Examples (2:11)
Common data science tools
Programming Languages & Software Employed in Data Science - All the Tools You Need (5:51)
Data science career paths
Data Science Job Positions: What do they Involve and What to Look out for? (3:29)
Dispelling common Misconceptions
Dispelling Common Misconceptions (4:10)
When are Traditional data, Big Data, BI, Traditional Data Science and ML applied?
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