Data Analytics

What is the purpose of data analytics?

To analyze raw data to draw out meaningful, actionable insights.

What roles does a Data Scientist play in data analytics?

Considers what questions the business should ask, writes algorithms, and conducts customer analyses.

What are the key steps in the data analysis process?

Requirement gathering, 2. Collection, 3. Cleaning, 4. Analysis, 5. Interpretation, 6. Visualization

What is involved in requirement gathering for data analysis?

Determining the purpose of the analysis and what type of data to use and analyze.

What does the 'Collection' step involve in data analysis?

Gathering data from sources like case studies, surveys, interviews, and questionnaires.

What is involved in the 'Cleaning' step of data analysis?

Removing duplicate records, errors, and white spaces from the data.

What tools are commonly used for analyzing data?

Python, R, or Excel.

What does the 'Interpretation' step involve in data analysis?

Coming up with the best courses of action based on findings.

What does 'Visualization' involve in data analysis?

Displaying information graphically using charts and maps to aid understanding.

What are the four types of data analysis?

1. Descriptive, 2. Diagnostic, 3. Predictive, 4. Prescriptive

What is Descriptive Analytics?

Analyzing what has happened in the past through data aggregation and mining.

What is Diagnostic Analytics?

Examining the reasons behind past events, identifying anomalies, and performing regression analysis.

What is Predictive Analytics?

Forecasting future events based on historical data and probability analysis.

What is Prescriptive Analytics?

Suggesting actions and decisions that should be taken based on data analysis.