CSE5DEV Syllabus

True or false: CSE5DEV Syllabus is covered in Section 1, Section 2, and Section 3?

True or false: Lecture 2 covers Data Collection & R Programming?

True or false: Lecture 5 covers Data Visualisation?

True or false: Lecture 10 covers Data Exploration 1?

True or false: Lecture 12 covers Revision?

True or false: Lecture 9 covers Correlation & Pattern Discovery Analysis?

True or false: The goal of a data science project is to identify the problem?

True or false: Stage 2 of a data science project is to explore the data?

True or false: Descriptive statistics are used to represent data visually?

True or false: The result of a data science project should always make sense?

True or false: Data can only be of type numbers in R programming?

True or false: Data importing is the process of writing R code to get the data from disk into R environment?

True or false: RStudio and R work together to run R code in the background?

True or false: RStudio Interface is the only place where you need to write and run your R code?

True or false: R uses various functions to import data from different formats such as text files, CSV files, Excel files, etc.?

True or false: Data importing is the first step in organizing the data in a readable format in R programming?

True or false: We can import data from web-sites using R programming?

True or false: We can import data from SPSS files using R programming?

True or false: R programming can only import data from text files?

True or false: R programming can only import data from Excel files?

True or false: Data collection is the process of gathering information from a specific source to answer relevant questions and evaluate outcomes.

True or false: Data can help us in learning more about customers, items, and products.

True or false: Data can be obtained from various sources such as PC, data, and the internet.

True or false: Data can be stored in different formats.

True or false: Data is a set of facts such as numbers, words, measurements, observations, or descriptions of things.

True or false: Qualitative data describes something, while quantitative data consists of numerical information.

True or false: Data values can be numeric, categorical, date, text, multidimensional, or time series.

True or false: Experimental data is collected from strictly controlled experiments, while observational data is collected from real-world settings.

True or false: Observational data is easier to collect, but results and conclusions from such data may be biased or inconclusive.

True or false: Almost all data used in data mining, business analytics, and data science are observational data.

True or false: Lecture 4 covers Data Cleaning & Normalisation?

True or false: The goal of a data science project is to identify the problem?

True or false: Stage 3 of a data science project is to explore the data?

True or false: Lecture 5 covers Data Visualisation?

True or false: Lecture 9 covers Correlation & Pattern Discovery Analysis?

True or false: R programming can only import data from text files?

True or false: Data values can be numeric, categorical, date, text, multidimensional, or time series?

True or false: Lecture 12 covers Revision?

True or false: Almost all data used in data mining, business analytics, and data science are observational data?

True or false: Data can be stored in different formats?

True or false: R programming can only import data from Excel files?

True or false: Lecture 5 covers Data Visualisation?

True or false: Data can only be of type numbers in R programming?

True or false: We can import data from web-sites using R programming?

True or false: Lecture 10 covers Data Exploration 1?

True or false: R uses various functions to import data from different formats such as text files, CSV files, Excel files, etc.?

True or false: Data can be stored in different formats.

True or false: Data can help us in learning more about customers, items, and products.

True or false: Descriptive statistics are used to represent data visually?

True or false: RStudio and R work together to run R code in the background?

True or false: Data collection is the process of gathering information from a specific source to answer relevant questions and evaluate outcomes.

True or false: Data values can be numeric, categorical, date, text, multidimensional, or time series.

True or false: Experimental data is collected from strictly controlled experiments, while observational data is collected from real-world settings.

True or false: Observational data is easier to collect, but results and conclusions from such data may be biased or inconclusive.

True or false: Data can be obtained from various sources such as PC, data, and the internet.

True or false: Almost all data used in data mining, business analytics, and data science are observational data.

True or false: RStudio and R work together to run R code in the background.

True or false: R programming can only import data from text files.

True or false: R uses various functions to import data from different formats such as text files, CSV files, Excel files, etc.

True or false: We can import data from SPSS files using R programming.

True or false: Lecture 3 covers Data Wrangling & R Programming?

True or false: Stage - 3 of a data science project is to explore the data?

True or false: R programming can import data from SPSS files?

True or false: Lecture 6 covers Data Exploration 2?

True or false: Data Science projects require the same set of stages to be performed?

True or false: Lecture 11 covers Case Study 2?

True or false: Data importing is the process of writing R code to get the data from disk into R environment?

True or false: R programming can import data from Excel files?

True or false: Lecture 10 covers Data Exploration 1?

True or false: R uses various functions to import data from different formats such as text files, CSV files, Excel files, etc.?

True or false: Data collection is the process of gathering information from a specific source to answer irrelevant questions and evaluate outcomes.

True or false: RStudio and R work together to run Python code in the background?

True or false: Lecture 10 covers Data Exploration 1?

True or false: R programming can only import data from Excel files?

True or false: Observational data is easier to collect, but results and conclusions from such data may be biased or conclusive.

True or false: Data can only be of type numbers in R programming?

True or false: The result of a data science project should always make nonsense?

True or false: R programming can only import data from text files?

True or false: We can import data from SPSS files using R programming?

True or false: Descriptive statistics are used to represent data visually?

True or false: Data values can only be of type numbers in R programming?

True or false: RStudio Interface is the only place where you need to write and run your R code?

True or false: Lecture 4 covers Data Cleaning & Normalisation?

True or false: Experimental data is collected from strictly controlled experiments, while observational data is collected from real-world settings.

True or false: We can import data from Excel files using R programming?

True or false: Descriptive statistics are used to represent data visually?

True or false: Qualitative data describes something, while quantitative data consists of numerical information.

True or false: R programming can import data from SPSS files?

True or false: Observational data is easier to collect, but results and conclusions from such data may be biased or inconclusive.

True or false: Almost all data used in data mining, business analytics, and data science are observational data.

True or false: R programming can only import data from text files?

True or false: Lecture 6 covers Data Exploration 2?

True or false: R programming can import data from SPSS files?

True or false: Descriptive statistics are used to represent data visually?

True or false: Data collection is the process of gathering information from a specific source to answer relevant questions and evaluate outcomes?

True or false: RStudio and R work together to run R code in the background?

True or false: Experimental data is collected from strictly controlled experiments, while observational data is collected from real-world settings?

True or false: Data values can be numeric, categorical, date, text, multidimensional, or time series?

True or false: Data can be stored in different formats?

True or false: The goal of a data science project is to identify the problem?

True or false: Data collection is the process of gathering information from a specific source to answer irrelevant questions and evaluate outcomes.

True or false: R programming can import data from Excel files?

True or false: Almost all data used in data mining, business analytics, and data science are observational data.

True or false: Qualitative data describes something, while quantitative data consists of numerical information.

True or false: Observational data is easier to collect, but results and conclusions from such data may be biased or inconclusive.

True or false: Data values can only be of type numbers in R programming?

True or false: We can import data from web-sites using R programming?

True or false: Data can help us in learning more about customers, items, and products.

True or false: Stage 2 of a data science project is to explore the data?

True or false: Experimental data is collected from strictly controlled experiments, while observational data is collected from real-world settings.

True or false: Data collection is the process of gathering information from a specific source to answer irrelevant questions and evaluate outcomes.

True or false: R uses various functions to import data from different formats such as text files, CSV files, Excel files, etc.

True or false: RStudio Interface is the only place where you need to write and run your R code.

True or false: Data values can only be of type numbers in R programming.

True or false: Observational data is easier to collect, but results and conclusions from such data may be biased or inconclusive.

True or false: Descriptive statistics are used to represent data visually.

True or false: CSE5DEV Syllabus is covered in Section 1, Section 2, and Section 3.

True or false: Experimental data is collected from strictly controlled experiments, while observational data is collected from real-world settings.

True or false: Data importing is the first step in organizing the data in a readable format in R programming.

True or false: Data is a set of facts such as numbers, words, measurements, observations, or descriptions of things.