Statistics for Data Science
Data Science के लिए Statistics
What are Statistics Basics?
Statistics Basics means statistics helps summarize and understand data using mean, median, mode, range and standard deviation.
In real programs, this topic helps in summarising marks. Learn the idea first, then type the program yourself and compare the output.
| Point | Details |
|---|---|
| Course Area | Data Science Tools and concepts used to analyse, clean and present data. |
| Main Use | summarising marks |
| Example File | statistics-basics.py |
| Practice Focus | Run, change values, and explain the output line by line. |
Why should you learn this?
- It is useful for summarising marks.
- It connects with understanding average and spread.
- It improves your ability to read, write and debug Python programs.
Important Terms
These terms are used directly in this lesson. Understand them before memorising the code.
| Term | Meaning |
|---|---|
| mean | Average value. |
| median | Middle value after sorting. |
| mode | Most frequent value. |
| variance | Spread of data values. |
| standard deviation | Measure of spread around the mean. |
Syntax / Basic Pattern
The simple pattern is: prepare data, apply the concept, then show the result.
import statistics as stats
marks = [80, 85, 85, 90, 100]
print("Mean:", stats.mean(marks))
print("Median:", stats.median(marks))
print("Mode:", stats.mode(marks))Complete Example Program
import statistics as stats
marks = [80, 85, 85, 90, 100]
print("Mean:", stats.mean(marks))
print("Median:", stats.median(marks))
print("Mode:", stats.mode(marks))Expected Output
Program Explanation
import statistics as statsimports ready-made features from a module/library.marks = [80, 85, 85, 90, 100]stores a value in marks.print("Mean:", stats.mean(marks))displays information or calculated result on the screen.print("Median:", stats.median(marks))displays information or calculated result on the screen.print("Mode:", stats.mode(marks))displays information or calculated result on the screen.
Where will you use it?
- Summarising marks.
- Understanding average and spread.
- Supporting ml decisions.
Common Mistakes
- Analysing data before checking missing values, duplicates and data types.
- Changing original data without keeping a clean copy.
- Creating charts without title, labels or explanation.
Practice Tasks
- Type the program in
statistics-basics.pyand run it. - Change input values or sample data and observe the new output.
- Create one example related to summarising marks.
- Write 5 lines explaining the logic in your own words.
Summary
Statistics Basics is not a theory-only topic. You should be able to explain the meaning, write the example, run it successfully, and use it in a small practical program.
Statistics Basics क्या है?
Statistics Basics ka matlab hai: Statistics helps summarize and understand data using mean, median, mode, range and standard deviation. Simple words me, ye topic practical Python programs likhne me direct use hota hai.
Is topic ko sirf definition ke liye nahi, balki summarising marks jaise real examples ke liye practice karein.
यह क्यों सीखना जरूरी है?
- Ye summarising marks me kaam aata hai.
- Ye understanding average and spread se bhi connected hai.
- Isse aap code ka output aur errors better samajh paate hain.
Important Terms
| Term | Meaning |
|---|---|
| mean | Average value. |
| median | Middle value after sorting. |
| mode | Most frequent value. |
| variance | Spread of data values. |
| standard deviation | Measure of spread around the mean. |
Syntax / Basic Pattern
Basic idea: pehle data तैयार करें, phir Python logic apply करें, aur finally result display करें.
import statistics as stats
marks = [80, 85, 85, 90, 100]
print("Mean:", stats.mean(marks))
print("Median:", stats.median(marks))
print("Mode:", stats.mode(marks))Complete Example Program
import statistics as stats
marks = [80, 85, 85, 90, 100]
print("Mean:", stats.mean(marks))
print("Median:", stats.median(marks))
print("Mode:", stats.mode(marks))Expected Output
Program Explanation
import statistics as statsimports ready-made features from a module/library.marks = [80, 85, 85, 90, 100]stores a value in marks.print("Mean:", stats.mean(marks))displays information or calculated result on the screen.print("Median:", stats.median(marks))displays information or calculated result on the screen.print("Mode:", stats.mode(marks))displays information or calculated result on the screen.
Practical Uses
- Summarising marks.
- Understanding average and spread.
- Supporting ml decisions.
Common Mistakes
- Analysing data before checking missing values, duplicates and data types.
- Changing original data without keeping a clean copy.
- Creating charts without title, labels or explanation.
Practice Tasks
- Program ko
statistics-basics.pyfile me type karke run karein. - Values change karke output compare karein.
- summarising marks par ek छोटा example banayen.
- Logic ko apne words me 5 lines me likhein.
सारांश
Statistics Basics ko tab complete maanenge jab aap iska meaning, example, output aur practical use clearly explain kar saken.