Looking For Data Analysis Assignment Help In US By Top Experts

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Data analysis is crucial to understanding any process or phenomenon thoroughly. Whether enrolled in a dedicated data analysis course or doing it as part of a machine learning or data analytics course, you will have assignments as key training gauntlets. Acing your data analysis assignments is one surefire way to master the different techniques & processes in data analysis. It won't be easy, however, as the basis of any data analysis process is steeped in research & analysis.

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Sample Question And Solution Of Data Analysis

Categorical Data Analysis

Questions:

1. For the following scatter plot, what would be your best estimate of the correlation coefficient?

2. Discuss which statistical tests to apply for different types of data and how to interpret the results.

3. Nonparametric statistical techniques are based on fewer assumptions about the population and the parameters compared to parametric statistical techniques. Discuss this statement with suitable examples and supportive references.

Answers:

1. Scatterplot: The scatterplot is a way to represent the visual relationship between two quantitative variables, the visual representation indicates the strength of relationship between the variables or how they are associated.  The one variable can be considered as explanatory variable and another variable can be considered as the response variable. Read More.

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• Describe and summarize data using appropriate summarization techniques.
• Implement pertinent and practical analytical procedures to identify relationships between variables.
• Compare the nature and behavior of different variables.
• Note the contrasts and identify similarities.
• Predict outcomes by using ETL & applicable analytical procedures
• Follow appropriate scales of measurement during an evaluation
• Craft insightful and intuitive visualizations
• Employ the latest technologies, such as applications and programming languages, etc., as necessary

2. Implementing Standard Data Analysis Procedures

Given a specific data analysis problem, our experts will:

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• Probability-based inferencing, statistical modeling, confidence intervals, correlation, regression, randomness analysis, variance tests, Z-tests, hypothesis testing, analysis of variance, principal component analysis, factor analysis, clustering analysis, etc. for quantitative analysis
• Content analysis, narrative analysis, discourse analysis, framework analysis, grounded theory, and other applicable procedures for qualitative analysis
• Check for errors & outliers.
• Assess normality

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3. Visualizing Data & Presenting Insights Intuitively

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