Analytics Assignment 2

1. What are data analytics?
2. What are media analytics?
3. Why data analytics is important in social media?
4. What Is the Data Analysis Process?
5. Please discuss the Types of Data Analysis
   • Diagnostic Analysis
   • Predictive Analysis
   • Statistical Analysis
   • Inferential Analysis
   • Data mining
6. Please describe Data Analysis Methods

Qualitative Data Analysis:

• Content Analysis,
• Narrative Analysis,
• Grounded Theory

Quantitative Data Analysis:

• Hypothesis Testing,
• ANOVA and t-test
• Sample Size Determination
7. Give examples of Data Analysis Tools
   • Tableau Public
   • R Programming
   • Python
   • Apache Spark
   • SAS
   • RapidMiner

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Here’s a step-by-step guide on how you could address each point:

Step 1: What are data analytics?
In this section, define what data analytics is and the purpose it serves. Discuss how it involves the use of software and systems to extract knowledge and insights from structured and unstructured data.

Step 2: What are media analytics?
Define media analytics and its role in analyzing the performance and effectiveness of media investments. Discuss how it helps to determine the success of marketing strategies across different media channels.

Step 3: Importance of data analytics in social media
Discuss why data analytics is crucial in social media. You could mention things like understanding user behavior, trends, developing targeted advertising, and improving overall customer experience.

Step 4: Data Analysis Process
Here, discuss the general process of data analysis, which includes steps like data collection, data processing, data cleaning, exploratory data analysis, model building, and visualization.

Step 5: Types of Data Analysis
Define and discuss each of the types of data analysis mentioned. Include examples where applicable to clarify the application of each type.

• Diagnostic Analysis
• Predictive Analysis
• Statistical Analysis
• Inferential Analysis
• Data Mining

Step 6: Data Analysis Methods
Discuss each of the data analysis methods under both qualitative and quantitative analysis. Explain what they are and provide examples of when they would be used.

Qualitative Data Analysis:

• Content Analysis
• Narrative Analysis
• Grounded Theory

Quantitative Data Analysis:

• Hypothesis Testing
• ANOVA and t-test
• Sample Size Determination

Step 7: Data Analysis Tools
Discuss each of the tools mentioned. Give a brief description of what each tool is and its key features or uses in data analysis.

• Tableau Public
• R Programming
• Python
• Apache Spark
• SAS
• RapidMiner

Step 8: Review and Edit
After you have written your assignment, take time to review your work. Make sure you’ve answered all the questions comprehensively and your text is clear, grammatically correct, and logically structured.

Remember, when explaining concepts, try to use your own words and understand the concept thoroughly rather than just copying definitions. It’s always good to use examples where possible to explain your points more effectively. This guide should give you a solid starting point for your assignment. Good luck!