1.Python is an example of ______________
Answer: Interpreted language
2.Data Science is a
a. Branch of statistics
b. Branch of computer science
c. Branch of artificial intelligence
d. Interdisciplinary, made up of all of the above
Answer: d
3.What is the result of the following code: ['a', 'b', 'c'] + [1, 2, 3] ?
Answer: [‘a’,’b’,’c’,1,2,3]
4. What is statistics?
Statistics is an applied area of mathematics concerned with the data collection, analysis, interpretation and presentation.
5. What is linear regression?
Linear regression is a supervised machine learning model to predict a continuous value.
6. What is logistic regression?
Logistic regression is a supervised machine learning model to predict a discrete(categorical) value.
7. What is data science?
Data science involves using automated methods to analyze massive amount massive amount of data and knowledge to extract them.
8. What are the skill to have in python with regard to data analysis?
Good understanding of built in data types such as lists, tuples, dictionaries and sets.
Mastery of N-dimensional Numpy arrays
Mastery of pandas dataframes.
9. What are the assumptions for linear regression?
- Linear relationship
- Multivariate normality
- No or little collinearity
- homoscedasticity
10. Data Science - Skill set
- Statistics
- Programming languages R and Python
- Data extraction and processing
- Data wrangling and exploration
- Machine Learning
- Big Data Processing frameworks
- Data visualization
11. Data Science Job Roles
- Data Scientist
- Data Analyst
- Data Architect
- Data Engineer
- Statistician
- Database administrator
- Business Analyst
- Data and analytics manager
12. Data life cycle
- Business Requirements
- Data acquisition
- Data processing
- Data exploration
- Modelling
- Deployment
13. What is data visualization?
Data visualization is the presentation of data in a pictorial or graphical format.
14. Ten python libraries for data visualization.
- Matplotlib
- seaborn
- bokeh
- ggplot
- plotly
- geoplotlib
- Gleam
- missingno
- Leather
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