๐ ๐๐ผ๐ผ๐ด๐น๐ฒ ๐ฃ๐ฟ๐ผ๐ณ๐ฒ๐๐๐ถ๐ผ๐ป๐ฎ๐น ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ฒ๐ ๐ถ๐ป ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ & ๐๐! ๐
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๐ Explore the programs:
1๏ธโฃ Google Data Analytics Professional Certificate
2๏ธโฃ Google Business Intelligence Professional Certificate
3๏ธโฃ Google AI Essentials
4๏ธโฃ Google Advanced Data Analytics Professional Certificate
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๐ Save this post and share it with someone interested in Data Analytics or AI!
Explore these 4 Google learning programs and develop practical, career-relevant skills.
๐ Explore the programs:
1๏ธโฃ Google Data Analytics Professional Certificate
2๏ธโฃ Google Business Intelligence Professional Certificate
3๏ธโฃ Google AI Essentials
4๏ธโฃ Google Advanced Data Analytics Professional Certificate
๐ ๐๐ป๐ฟ๐ผ๐น๐น ๐ณ๐ผ๐ฟ ๐๐ฅ๐๐ ๐:-
https://pdlink.in/4htgIEW
๐ Save this post and share it with someone interested in Data Analytics or AI!
โค5
Which query correctly retrieves employees whose salary is greater than 50,000?
Anonymous Quiz
10%
A) SELECT * FROM employees WHERE salary < 50000;
3%
B) SELECT * FROM employees WHERE salary = 50000;
13%
C) SELECT * FROM employees WHERE salary >= 50000;
74%
D) SELECT * FROM employees WHERE salary > 50000;
โค1
Which query returns customers from either Pune or Mumbai?
Anonymous Quiz
17%
A) WHERE city = 'Pune' AND city = 'Mumbai'
67%
B) WHERE city IN ('Pune', 'Mumbai')
6%
C) WHERE city <> 'Pune' AND city <> 'Mumbai'
9%
D) WHERE city BETWEEN 'Pune' AND 'Mumbai'
โค2
How do you find rows where the phone number is missing?
Anonymous Quiz
10%
A) WHERE phone = NULL
22%
B) WHERE phone == NULL
64%
C) WHERE phone IS NULL
4%
D) WHERE phone IN NULL
โค1
What does this condition return?
WHERE age BETWEEN 25 AND 30
WHERE age BETWEEN 25 AND 30
Anonymous Quiz
45%
Ages greater than 25 and less than 30 only
48%
Ages from 25 through 30, including both 25 and 30
5%
Only ages exactly 25 and 30
2%
Ages below 25 or above 30
โค1
Which LIKE pattern finds names that begin with the letter A?
Anonymous Quiz
34%
A) LIKE '%A'
6%
B) LIKE '_A%'
45%
C) LIKE 'A%'
15%
D) LIKE '%A%'
โค1
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Looking to learn practical, in-demand skills? These courses cover Generative AI, Cybersecurity, AI tools and Digital Marketing.
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โค4
Complete Data Analytics Mastery: From Basics to Advanced ๐
Begin your Data Analytics journey by mastering the fundamentals:
- Understanding Data Types and Formats
- Basics of Exploratory Data Analysis (EDA)
- Introduction to Data Cleaning Techniques
- Statistical Foundations for Data Analytics
- Data Visualization Essentials
Grasp these essentials in just a week to build a solid foundation in data analytics.
Once you're comfortable, dive into intermediate topics:
- Advanced Data Visualization (using tools like Tableau)
- Hypothesis Testing and A/B Testing
- Regression Analysis
- Time Series Analysis for Analytics
- SQL for Data Analytics
Take another week to solidify these skills and enhance your ability to draw meaningful insights from data.
Ready for the advanced level? Explore cutting-edge concepts:
- Machine Learning for Data Analytics
- Predictive Analytics
- Big Data Analytics (Hadoop, Spark)
- Advanced Statistical Methods (Multivariate Analysis)
- Data Ethics and Privacy in Analytics
These advanced concepts can be mastered in a couple of weeks with focused study and practice.
Remember, mastery comes with hands-on experience:
- Work on a simple data analytics project
- Tackle an intermediate-level analysis task
- Challenge yourself with an advanced analytics project involving real-world data sets
Consistent practice and application of analytics techniques are the keys to becoming a data analytics pro.
Best platforms to learn:
- SQL courses with Certificate
- Freecodecamp Python Course
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ENJOY LEARNING ๐๐
Begin your Data Analytics journey by mastering the fundamentals:
- Understanding Data Types and Formats
- Basics of Exploratory Data Analysis (EDA)
- Introduction to Data Cleaning Techniques
- Statistical Foundations for Data Analytics
- Data Visualization Essentials
Grasp these essentials in just a week to build a solid foundation in data analytics.
Once you're comfortable, dive into intermediate topics:
- Advanced Data Visualization (using tools like Tableau)
- Hypothesis Testing and A/B Testing
- Regression Analysis
- Time Series Analysis for Analytics
- SQL for Data Analytics
Take another week to solidify these skills and enhance your ability to draw meaningful insights from data.
Ready for the advanced level? Explore cutting-edge concepts:
- Machine Learning for Data Analytics
- Predictive Analytics
- Big Data Analytics (Hadoop, Spark)
- Advanced Statistical Methods (Multivariate Analysis)
- Data Ethics and Privacy in Analytics
These advanced concepts can be mastered in a couple of weeks with focused study and practice.
Remember, mastery comes with hands-on experience:
- Work on a simple data analytics project
- Tackle an intermediate-level analysis task
- Challenge yourself with an advanced analytics project involving real-world data sets
Consistent practice and application of analytics techniques are the keys to becoming a data analytics pro.
Best platforms to learn:
- SQL courses with Certificate
- Freecodecamp Python Course
- 365DataScience
- Data Analyst Interview Questions
- Free SQL Resources
Share your progress and insights with others in the data analytics community. Enjoy the fascinating journey into the realm of data analytics! ๐ฉโ๐ป๐จโ๐ป
Join @free4unow_backup for more free resources.
Like this post if it helps ๐โค๏ธ
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โค4๐1
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๐ Data Science Roadmap 2026
๐ Phase 3: SQL for Data Science
๐ Topic 3 โ ORDER BY
ORDER BY is used to sort the rows returned by a SQL query. It helps you arrange data in a meaningful order, such as:
โข Highest salary to lowest salary
โข Lowest price to highest price
โข Newest date to oldest date
โข AโZ or ZโA
โข Highest sales to lowest sales
๐น Basic Syntax
By default, SQL sorts in ascending order.
This generally returns employees from the lowest salary to the highest salary.
๐น ASC โ Ascending Order
ASC means ascending.
For numbers: 10000, 25000, 40000, 75000, 100000
For text: Amazon, Apple, Google, Microsoft
For dates: 2024-01-01, 2024-05-15, 2024-12-20, 2025-03-10
ASC is usually the default, so
๐น DESC โ Descending Order
DESC means descending.
Example: 100000, 75000, 40000, 25000, 10000
This is especially useful when you want to find:
โข Highest-paid employees
โข Top-selling products
โข Most expensive products
โข Most recent transactions
โข Highest-performing regions
๐น Sorting Text
You can sort text columns alphabetically.
๐น Sorting Dates
To find the most recent transactions:
To see transactions from oldest to newest:
๐น Sorting by Multiple Columns
This is very important. Suppose you want to sort employees:
1. By department
2. Within each department, by salary from highest to lowest
SQL first sorts by department. When multiple rows have the same department, it then uses salary to determine their order.
Example:
Finance 90000
Finance 70000
Finance 50000
HR 85000
HR 60000
IT 120000
IT 95000
๐น ORDER BY with Calculations
You can also sort using an expression.
You can also use the alias in many SQL databases:
๐น ORDER BY with DISTINCT
This returns each department once and sorts them alphabetically.
๐น ORDER BY and NULL Values
NULL represents a missing or unknown value. The position of NULL values when using ORDER BY can vary between SQL databases.
Some databases also support explicit control such as:
or
Always check the syntax supported by your SQL database.
๐น ORDER BY with WHERE
WHERE filters the rows first, and ORDER BY sorts the resulting rows.
๐ Phase 3: SQL for Data Science
๐ Topic 3 โ ORDER BY
ORDER BY is used to sort the rows returned by a SQL query. It helps you arrange data in a meaningful order, such as:
โข Highest salary to lowest salary
โข Lowest price to highest price
โข Newest date to oldest date
โข AโZ or ZโA
โข Highest sales to lowest sales
๐น Basic Syntax
SELECT column1, column2
FROM table_name
ORDER BY column_name;
By default, SQL sorts in ascending order.
SELECT *
FROM employees
ORDER BY salary;
This generally returns employees from the lowest salary to the highest salary.
๐น ASC โ Ascending Order
ASC means ascending.
SELECT *
FROM employees
ORDER BY salary ASC;
For numbers: 10000, 25000, 40000, 75000, 100000
For text: Amazon, Apple, Google, Microsoft
For dates: 2024-01-01, 2024-05-15, 2024-12-20, 2025-03-10
ASC is usually the default, so
ORDER BY salary; is equivalent to ORDER BY salary ASC;๐น DESC โ Descending Order
DESC means descending.
SELECT *
FROM employees
ORDER BY salary DESC;
Example: 100000, 75000, 40000, 25000, 10000
This is especially useful when you want to find:
โข Highest-paid employees
โข Top-selling products
โข Most expensive products
โข Most recent transactions
โข Highest-performing regions
๐น Sorting Text
You can sort text columns alphabetically.
SELECT employee_name, department
FROM employees
ORDER BY employee_name ASC;
SELECT employee_name, department
FROM employees
ORDER BY employee_name DESC;
๐น Sorting Dates
To find the most recent transactions:
SELECT transaction_id, transaction_date, amount
FROM transactions
ORDER BY transaction_date DESC;
To see transactions from oldest to newest:
SELECT transaction_id, transaction_date, amount
FROM transactions
ORDER BY transaction_date ASC;
๐น Sorting by Multiple Columns
This is very important. Suppose you want to sort employees:
1. By department
2. Within each department, by salary from highest to lowest
SELECT employee_name, department, salary
FROM employees
ORDER BY department ASC, salary DESC;
SQL first sorts by department. When multiple rows have the same department, it then uses salary to determine their order.
Example:
Finance 90000
Finance 70000
Finance 50000
HR 85000
HR 60000
IT 120000
IT 95000
๐น ORDER BY with Calculations
You can also sort using an expression.
SELECT product_name, quantity, price,
quantity * price AS total_value
FROM products
ORDER BY quantity * price DESC;
You can also use the alias in many SQL databases:
SELECT product_name,
quantity * price AS total_value
FROM products
ORDER BY total_value DESC;
๐น ORDER BY with DISTINCT
SELECT DISTINCT department
FROM employees
ORDER BY department ASC;
This returns each department once and sorts them alphabetically.
๐น ORDER BY and NULL Values
NULL represents a missing or unknown value. The position of NULL values when using ORDER BY can vary between SQL databases.
Some databases also support explicit control such as:
ORDER BY salary ASC NULLS LAST;
or
ORDER BY salary DESC NULLS FIRST;
Always check the syntax supported by your SQL database.
๐น ORDER BY with WHERE
WHERE filters the rows first, and ORDER BY sorts the resulting rows.
SELECT employee_name, salary
FROM employees
WHERE department = 'IT'
ORDER BY salary DESC;
โค2
๐น Real-World Data Science Example
Suppose you are analyzing sales data. You want to identify the highest-value transactions.
This can help with:
โข Finding high-value transactions
โข Identifying important customers
โข Investigating unusually large purchases
โข Preparing data for further analysis
๐น Common Mistakes
Mistake 1 โ Forgetting DESC
If you want the highest salary first:
Mistake 2 โ Wrong column
Make sure the column used for sorting actually represents what you want to analyze.
Mistake 3 โ Incorrect multiple-column ordering
If you want both descending:
Mistake 4 โ Confusing WHERE and ORDER BY
WHERE filters rows. ORDER BY sorts rows. They perform different jobs.
๐น Interview Questions
1. What is ORDER BY?
ORDER BY sorts query results based on one or more columns.
2. What is the default sorting order?
Ascending order (ASC) is generally the default.
3. How do you find the highest salary?
4. Can you sort using multiple columns?
Yes.
5. What is the difference between ASC and DESC?
ASC sorts from low to high or AโZ. DESC sorts from high to low or ZโA.
๐ฏ Practice Questions
1. Write a query to display all products from the cheapest to the most expensive.
2. Write a query to display employees from the highest salary to the lowest salary.
3. Write a query to display customers alphabetically by name.
4. Write a query to sort sales by date, showing the newest sales first.
5. Write a query to sort employees by department alphabetically and salary from highest to lowest within each department.
๐ฏ Key Takeaways
โข ORDER BY sorts query results
โข ASC means ascending
โข DESC means descending
โข Ascending is generally the default
โข You can sort numbers, text and dates
โข You can sort using multiple columns
โข WHERE filters data; ORDER BY sorts data
โข ORDER BY is especially useful when analyzing rankings and top/bottom records
๐ Double Tap โค๏ธ For More
Suppose you are analyzing sales data. You want to identify the highest-value transactions.
SELECT customer_id, product_id, quantity, price,
quantity * price AS transaction_value
FROM sales
ORDER BY transaction_value DESC;
This can help with:
โข Finding high-value transactions
โข Identifying important customers
โข Investigating unusually large purchases
โข Preparing data for further analysis
๐น Common Mistakes
Mistake 1 โ Forgetting DESC
If you want the highest salary first:
ORDER BY salary DESC; Not ORDER BY salary;Mistake 2 โ Wrong column
Make sure the column used for sorting actually represents what you want to analyze.
Mistake 3 โ Incorrect multiple-column ordering
ORDER BY department, salary DESC; does NOT mean both columns are descending. It means: department โ ASC, salary โ DESCIf you want both descending:
ORDER BY department DESC, salary DESC;Mistake 4 โ Confusing WHERE and ORDER BY
WHERE filters rows. ORDER BY sorts rows. They perform different jobs.
๐น Interview Questions
1. What is ORDER BY?
ORDER BY sorts query results based on one or more columns.
2. What is the default sorting order?
Ascending order (ASC) is generally the default.
3. How do you find the highest salary?
SELECT * FROM employees ORDER BY salary DESC;
4. Can you sort using multiple columns?
Yes.
ORDER BY department ASC, salary DESC;5. What is the difference between ASC and DESC?
ASC sorts from low to high or AโZ. DESC sorts from high to low or ZโA.
๐ฏ Practice Questions
1. Write a query to display all products from the cheapest to the most expensive.
2. Write a query to display employees from the highest salary to the lowest salary.
3. Write a query to display customers alphabetically by name.
4. Write a query to sort sales by date, showing the newest sales first.
5. Write a query to sort employees by department alphabetically and salary from highest to lowest within each department.
๐ฏ Key Takeaways
โข ORDER BY sorts query results
โข ASC means ascending
โข DESC means descending
โข Ascending is generally the default
โข You can sort numbers, text and dates
โข You can sort using multiple columns
โข WHERE filters data; ORDER BY sorts data
โข ORDER BY is especially useful when analyzing rankings and top/bottom records
๐ Double Tap โค๏ธ For More
โค3