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Course Curriculum

The different data science fields
1.1 Welcome to Intro to Data and Data Science 00:00:00
1.2 Welcome to the Course 00:00:00
1.3 Why are there so many business and data science buzzwords 00:00:00
1.4 Analysis vs Analytics 00:00:00
1.5 Intro to Business Analytics, Data Analytics, and Data Science 00:00:00
1.6 Adding Business Intelligence (BI), Machine Learning (ML), an 00:00:00
1.7 An Overview of our Data Science Infographic 00:00:00
The relationship between different data science fields
2.1 When are Traditional data, Big Data, BI, Traditional Data Sc 00:00:00
What is the purpose of each data science field
3.1 Why do we need each of these disciplines 00:00:00
Common data science techniques
4.1 Traditional Data Techniques 00:00:00
4.11 Machine Learning (ML) Real-life Examples 00:00:00
4.2 Traditional Data Real-life Examples 00:00:00
4.3 Big Data Techniques 00:00:00
4.4 Big Data Real-life Examples 00:00:00
4.5 Business Intelligence (BI) Techniques 00:00:00
4.6 Business Intelligence (BI) Real-life Examples 00:00:00
4.7 Traditional Methods Techniques 00:00:00
4.8 Traditional Methods Real-life Examples 00:00:00
4.9 Machine Learning (ML) Techniques 00:00:00
4.10 Machine Learning (ML) Types of Machine Learning 00:00:00
Common data science tools
5.1 Programming Languages & Software Employed in Data Science – 00:00:00
Data science career paths
6.1 Data Science Job Positions What do they Involve and What to 00:00:00
Dispelling common Misconceptions
7.1 Dispelling Common Misconceptions 00:00:00

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