Which of the following is not a type of statistical analysis?
Anonymous Quiz
11%
Descriptive
29%
Inferential
20%
Predictive
41%
None of the above
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Which of the following is one of the 3 Vs of big data?
Anonymous Quiz
11%
Video
52%
Volume
19%
Version
17%
Vikings
π16π₯°9π2
Which of the following is a framework to solve bigdata problems?
Anonymous Quiz
5%
Java
51%
Hadoop
16%
MongoDB
29%
Python
π16π6π2β€1
Ways to improve the performance of Tableau
ππ» Use an Extract to make workbooks run faster.
ππ» Reduce the number of marks on the view to avoid information overload.
ππ» Hide unused fields.
ππ» Use Context filters.
ππ» Use indexing in tables and use the same fields for filtering.
ππ» Remove unnecessary calculations and sheets.
ππ» Use an Extract to make workbooks run faster.
ππ» Reduce the number of marks on the view to avoid information overload.
ππ» Hide unused fields.
ππ» Use Context filters.
ππ» Use indexing in tables and use the same fields for filtering.
ππ» Remove unnecessary calculations and sheets.
π26π€©4π1
What is the full form of DML in database management system?
Anonymous Quiz
14%
Data Markup Language
3%
Decision Makeup Language
1%
Distorted Making Language
82%
Data Manipulation Language
π14β‘7π7β€1π₯1π1
Which of the following is not a DML command in SQL?
Anonymous Quiz
79%
REVOKE
9%
INSERT
6%
DELETE
7%
UPDATE
π23π₯4π4π3π₯°1
In Hypothesis testing, a Type I error occurs when the null hypothesis is rejected even if it is true. It is also known as
Anonymous Quiz
68%
False Positive
32%
False Negative
π9π₯°5
Which of the following data types is not available in SQL?
Anonymous Quiz
6%
CHAR
4%
INT
5%
DATE
85%
ALPHABET
π22π3β€1
Requirements for data analyst based on some job profiles from @getjobss channel
π Strong data handling, data modeling & data flow understanding
π Ability to write complex queries on SQL to manipulate, consolidate multiple data sources for the purpose of dashboarding and analysis
π Intuition for data and ability to handle big data sources
π Strong working knowledge in Excel and visualization tools like PowerBI, Tableau, QlikView
π Ability to work on ambiguous tasks, find suitable solutions, and seek help/advice where appropriate.
π Strong data handling, data modeling & data flow understanding
π Ability to write complex queries on SQL to manipulate, consolidate multiple data sources for the purpose of dashboarding and analysis
π Intuition for data and ability to handle big data sources
π Strong working knowledge in Excel and visualization tools like PowerBI, Tableau, QlikView
π Ability to work on ambiguous tasks, find suitable solutions, and seek help/advice where appropriate.
π61π2β€1
What is the ful form of TCL in SQL?
Anonymous Quiz
89%
Transaction Control Language
11%
Total Control Level
π11π₯9β€1
Which of the following is not available in marks card of tableau?
Anonymous Quiz
6%
Size
6%
Color
28%
Tooltip
8%
Label
52%
Query
π21π₯°1
Which of the following clause is used to sort data in SQL?
Anonymous Quiz
13%
where
66%
order by
5%
having
16%
group by
π26π₯8π’3β€2π1
Which of the following clause is not available in SQL?
Anonymous Quiz
3%
SELECT
3%
ORDER BY
4%
GROUP BY
5%
WHERE
85%
INPUT
π13β€3π₯1
1. Define the term 'Data Wrangling.
Data Wrangling is the process wherein raw data is cleaned, structured, and enriched into a desired usable format for better decision making. It involves discovering, structuring, cleaning, enriching, validating, and analyzing data. This process can turn and map out large amounts of data extracted from various sources into a more useful format.
2. What are the best methods for data cleaning?
Create a data cleaning plan by understanding where the common errors take place and keep all the communications open. Before working with the data, identify and remove the duplicates. This will lead to an easy and effective data analysis process.Focus on the accuracy of the data. Set cross-field validation, maintain the value types of data, and provide mandatory constraints.Normalize the data at the entry point so that it is less chaotic. You will be able to ensure that all information is standardized, leading to fewer errors on entry.
3. Explain the Type I and Type II errors in Statistics?
In Hypothesis testing, a Type I error occurs when the null hypothesis is rejected even if it is true. It is also known as a false positive.
A Type II error occurs when the null hypothesis is not rejected, even if it is false. It is also known as a false negative.
4. How do you make a dropdown list in MS Excel?
First, click on the Data tab that is present in the ribbon.Under the Data Tools group, select Data Validation.Then navigate to Settings > Allow > List.Select the source you want to provide as a list array.
5. State some ways to improve the performance of Tableau?
Use an Extract to make workbooks run faster.
Reduce the scope of data to decrease the volume of data.
Reduce the number of marks on the view to avoid information overload.
Hide unused fields.
Use Context filters.
Use indexing in tables and use the same fields for filtering.
Remove unnecessary calculations and sheets.
Data Wrangling is the process wherein raw data is cleaned, structured, and enriched into a desired usable format for better decision making. It involves discovering, structuring, cleaning, enriching, validating, and analyzing data. This process can turn and map out large amounts of data extracted from various sources into a more useful format.
2. What are the best methods for data cleaning?
Create a data cleaning plan by understanding where the common errors take place and keep all the communications open. Before working with the data, identify and remove the duplicates. This will lead to an easy and effective data analysis process.Focus on the accuracy of the data. Set cross-field validation, maintain the value types of data, and provide mandatory constraints.Normalize the data at the entry point so that it is less chaotic. You will be able to ensure that all information is standardized, leading to fewer errors on entry.
3. Explain the Type I and Type II errors in Statistics?
In Hypothesis testing, a Type I error occurs when the null hypothesis is rejected even if it is true. It is also known as a false positive.
A Type II error occurs when the null hypothesis is not rejected, even if it is false. It is also known as a false negative.
4. How do you make a dropdown list in MS Excel?
First, click on the Data tab that is present in the ribbon.Under the Data Tools group, select Data Validation.Then navigate to Settings > Allow > List.Select the source you want to provide as a list array.
5. State some ways to improve the performance of Tableau?
Use an Extract to make workbooks run faster.
Reduce the scope of data to decrease the volume of data.
Reduce the number of marks on the view to avoid information overload.
Hide unused fields.
Use Context filters.
Use indexing in tables and use the same fields for filtering.
Remove unnecessary calculations and sheets.
π44β€10π₯4
Which of the following is not a join type in SQL?
Anonymous Quiz
4%
Left Join
8%
Inner Join
89%
Down Join
π30β€1
Which of the following is not a data visualization tool?
Anonymous Quiz
4%
Tableau
5%
Power BI
91%
Javascript
π24β€12π9π2
What is full form of DAX in Power BI?
Anonymous Quiz
87%
Data Analysis Expressions
13%
Data Acronym Experts
π22β€5π’3π₯°2π1
What is the full form of DML in database language?
Anonymous Quiz
87%
Data manipulation language
1%
Data munging language
9%
Data management language
3%
Data machine language p
π15π₯3π3β€2π₯°1
πThe order of operations used in MS Excel while evaluating formulas
MS Excel follows a standard math protocol to evaluate a formula.
This protocol is called βorder of operationsβ β PEMDAS β
~Parentheses
~Exponents
~Multiplication
~Division
~Addition
~Subtraction
MS Excel also applies some customization to handle the formula syntax.
The order in which MS Excel performs calculations can affect the return value of the formula.
First of all, Excel evaluates any expressions in parentheses.
As we have seen in mathematical formulae too, parentheses essentially override the normal order of operations. It prioritizes certain operations.
Next, Excel resolves cell references like A1 (cell address). It evaluates range references like A1:A10, making them arrays of values.
It also performs range operations like a union (comma) and an intersection (space).
Next, Excel performs β
-Exponentiation
-Negation
-% conversions
-Multiplication and division
-Addition and subtraction
-Concatenation
-Logical operators
MS Excel follows a standard math protocol to evaluate a formula.
This protocol is called βorder of operationsβ β PEMDAS β
~Parentheses
~Exponents
~Multiplication
~Division
~Addition
~Subtraction
MS Excel also applies some customization to handle the formula syntax.
The order in which MS Excel performs calculations can affect the return value of the formula.
First of all, Excel evaluates any expressions in parentheses.
As we have seen in mathematical formulae too, parentheses essentially override the normal order of operations. It prioritizes certain operations.
Next, Excel resolves cell references like A1 (cell address). It evaluates range references like A1:A10, making them arrays of values.
It also performs range operations like a union (comma) and an intersection (space).
Next, Excel performs β
-Exponentiation
-Negation
-% conversions
-Multiplication and division
-Addition and subtraction
-Concatenation
-Logical operators
π46β€7