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# Best Homework Help For Data Analysis in Python and R

## Top Questions

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, or statistics. 2. Be careful with those missing data. They can be empty string, -1, -98, -99, etc. You will need to check the data and var dictionary to make your best judgement. 2. Use those selected columns to predict the "loan_default" column. You will try 3 machine learning algorithms * Logistic regression * KNN * Naive Bayes Classifier 3. For each algorithm, you should select features and fit the model, then predict and evaluate. 4. Try different techniques to improve the model score. You can choose different columns, transform data and normalize data. Show your improvements.
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## Data Analysis in Python and R:

Data Analysis is the process of cleansing, inspecting and modelling the data. The goal is to discover useful information, inform conclusions and support the decision making.

## Data Analysis in Python and R Sample Questions:

Question 1: Data Analysis has how many main statistical methodologies?

A) 1

B) 2

C) 3

D) 4

Explanation: There are following 2 main statistical methodologies in Data Analysis:
Inferential Analysis
Descriptive Analysis

Question 2: Research Hypothesis is also known as?

A) Simple Hypothesis

B) Composite Hypothesis

C) Alternative Hypothesis

D) None of these

Explanation: Research Hypothesis is also known as Alternative Hypothesis.

Question 3: Which of the following will be accepted in case Null Hypothesis is false?

A) Positive Hypothesis

B) Negative Hypothesis

C) Alternative Hypothesis

D) None of these

Explanation: Alternative Hypothesis will be accepted in case Null Hypothesis is false.

Question 4: In order to test a hypothesis, which distribution can be used?

A) Gamma Distribution

B) Normal Distribution

C) Poisson Distribution

D) Chi-Squared Distribution

Explanation: In order to test a hypothesis, Chi-Squared distribution can be used

Question 5: In the Z Score formula, the denominator is?

A) Standard Deviation

B) Difference between a mean and the score

C) Range

D) None of these

Explanation: In the Z Score formula, the denominator is Standard Deviation.
Z Score formula = (observed value - mean) / standard deviation

Question 6: Which of the following are the building block of qualitative data

A) Units

B) Categories

C) Groups

D) None of these

Explanation: Categories are the building blocks of qualitative data.

Question 7: Which of the following is the process of qualifying the data?

A) Enumeration

B) Topology

C) Coding

D) None of these

Explanation: Enumeration is the process of qualifying the data.

Question 8: Regression analysis includes which of the following?

A) Relationship modelling in the data

B) yes/no questions

C) Determining associations in the data

D) All of these

Answer: Relationship modelling in the data

Explanation: Relationship modelling in the data is included in Regression analysis.

Question 9: Which of the following are data analysis approaches?

A) Data Mining

B) Predictive Intelligence

C) Both of these

D) None of these

Explanation: Following are the Data Analysis approaches:
Data Mining
Text Analytics

Question 10: Which of the following is a cyclic process in which data is collected and analysed during a single research study?

A) Interim Analysis

B) Constant Analysis

C) Both of these

D) None of these

Explanation: Interim Analysis is a cyclic process in which data is collected and analysed during a single research study.