Chapter 1 : Data Science Intro

Question 1

What are the V’s of Big Data ?

Answer 1

1. Velocity
2. Veracity
3. Volume
4. Value
5. Variety

Question 2

What are the stages of Data Science Project

Answer 2

1. Data Ingestion
2. Data Storage( Using ETL)
3. Data Analysis
4. Communication

Question 3

What is the difference between Data Science and Business Intelligence ?

Answer 3

Data Science :
1. Predictive Science
2. We Ask (why ? when? )
Business Intelligence :
1. Descriptice analysis , Standard Reporting
2. We Ask (what happened? )

Question 4

What is a Business Analyst?

Answer 4

a BA is responsible for bridging the gap between IT and business using analytics to asses processes, and deliver data-driven reports for executives

Question 5

What is the difference between BI and BA

Answer 5

• BI focuses on descriptive analytics and provides a summary of past and present data.
• BA focuses on predictive analytics and uses machine learning and data mining and modeling to determine the likelihood of future events

Question 6

Difference between Data Analytics and Business Analytics

Answer 6

• Data analytics is an umbrella term that contains the analysis of all data types
• Business analytics is data analytics that focuses on operation and day-to-day functions , the BA is more interested in the practical application of data rather the techincal aspect.

Question 7

What are the important questions that develop Business Intelligence ?

Answer 7

• Who are the stakeholders? Who will use the info?
• What department need business Intelligence? What will be measured?
• What support do content authors and information consumers need?

Question 8

What is the Data Science Life Cycle?

Answer 8

1. Business Understanding
2. Data Acquisition
3. Feature Engineering (making good data to model)
4. Data Modeling
5. Modle Deployment