Introduction to Data Analytics | Week 4
Course Link: https://in.coursera.org/learn/introduction-to-data-analytics/
Analyzing and Mining Data
Practice Quiz
1. What is one of the common measures of Central Tendency?
Mean
Variance
Classification
Regression
2. What technique is used to help identify the nature of the relationship between two variables?
Clustering
Regression
Classification
Anomaly Detection
3. What Python libraries are commonly used for data mining?
Tm
NumPy
Pandas
Graded Quiz
1. What is a branch of mathematics dealing with the collection, analysis, interpretation, and presentation of numerical or quantitative data?
Calculus
Pie
Algebra
Statistics
2. Data Mining is defined as the process of:
Preparing raw data for analysis
Filtering data based on pre-defined criteria
Extracting knowledge from data
Identifying errors in data
3. What type of data mining operations was R specifically built to handle?
Calculating mean, median, and mode
Sorting
Filtering
Classification of data
4. When you’re calculating the middle value of a data field in a data set, what are you really calculating?
Median
Mode
Average
Mean
5. What is the general tendency of a set of data to change over time called?
Trend
Variation
Anomaly
Pattern
Communicating Data Analysis Findings
Practice Quiz
1. Data visualizations such as graphs and charts are a great way to bring data to life.
True
False
2. You can use dashboards to present operational data such as daily progress data, as well as analytical data, such as the overall health of a business function.
True
False
3. What spreadsheet software is preferred when multiple users need to collaborate?
Microsoft Excel
R-Studio
Google Sheets
Tableau
Graded Quiz
1. “A presentation is not a data dump”. What is the one thing you would do to ensure your presentation is not a data dump?
Not use visuals in the presentation
Not include facts and figures in the presentation
Include only that information as is needed to address the business problem
Deliver the findings in a single slide
2. What is the discipline of communicating information through the use of visual elements?
Data profiling
Data type conversion
Data visualization
Data regression
3. Matplotlib is a widely used Python data visualization library.
True
False
4. What is the goal of Data Visualization?
Establish trust in the audience
Make information easy to comprehend, interpret, and retain
Make collaboration easy
Make the presentation look attractive
5. What can you do to help your audience trust you?
Make your presentation look good
Share the detailed documentation of every aspect of your project so they can verify all details
Hand them copies of the data sets you have used for analysis
Share your data sources, hypotheses, and validations
* The material and content uploaded on this website are for general information and reference purposes only and don’t copy the answers of this website to any other domain without any permission or else copyright abuse will be in action.
Please do it by your own first!
[…] Introduction to Data Analytics | Week 4 […]