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Python for Data Analysts

Python for Data Analysts

Kanalga Telegramโ€™da oโ€˜tish

Find top Python resources from global universities, cool projects, and learning materials for data analytics. For promotions: @coderfun Useful links: heylink.me/DataAnalytics

Ko'proq ko'rsatish

๐Ÿ“ˆ Telegram kanali Python for Data Analysts analitikasi

Python for Data Analysts (@pythonanalyst) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 51 491 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 2 610-o'rinni va Hindiston mintaqasida 7 350-o'rinni egallagan.

๐Ÿ“Š Auditoriya koโ€˜rsatkichlari va dinamika

ะฝะตะฒั–ะดะพะผะพ sanasidan buyon loyiha tez oโ€˜sib, 51 491 obunachiga ega boโ€˜ldi.

07 Iyun, 2026 dagi oxirgi maโ€™lumotlarga koโ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 233 ga, soโ€˜nggi 24 soatda esa 5 ga oโ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oโ€˜rtacha 5.01% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining N/A% ini tashkil etuvchi reaksiyalarni toโ€˜playdi.
  • Post qamrovi: Har bir post oโ€˜rtacha 2 578 marta koโ€˜riladi; birinchi sutkada odatda 0 ta koโ€˜rish yigโ€˜iladi.
  • Reaksiyalar va oโ€˜zaro taโ€™sir: Auditoriya faol: har bir postga oโ€˜rtacha 9 ta reaksiya keladi.
  • Tematik yoโ€˜nalishlar: Kontent visualization, panda, analyst, sql, analytic kabi asosiy mavzularga jamlangan.

๐Ÿ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taโ€™riflaydi:
โ€œFind top Python resources from global universities, cool projects, and learning materials for data analytics. For promotions: @coderfun Useful links: heylink.me/DataAnalyticsโ€

Yuqori yangilanish chastotasi (oxirgi maโ€™lumot 08 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boโ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taโ€™sir nuqtasiga aylantirishini koโ€˜rsatadi.

51 491
Obunachilar
+524 soatlar
+577 kunlar
+23330 kunlar
Postlar arxiv
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You don't need to know everything about every data tool. Focus on what will help land you your job. For Excel: - IFS (all variations) - XLOOKUP - IMPORTRANGE (in GSheets) - Pivot Tables - Dynamic functions like TODAY() For SQL: - Sum - Group By - Window Functions - CTEs - Joins For Tableau: - Calculated Columns - Sets - Groups - Formatting For Power BI: - Power Query for data transformation - DAX (Data Analysis Expressions) for creating custom calculations - Relationships between tables - Creating interactive and dynamic dashboards - Utilizing slicers and filters effectively I have created 100-Day Roadmap & Resources for Data Analyst ๐Ÿ‘‡๐Ÿ‘‡ https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 Hope it helps :)

๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€, ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป, ๐—”๐—œ & ๐—ฆ๐—ค๐—Ÿ ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜ ๐˜„๐—ถ๐˜๐—ต ๐—œ๐—•๐— !๐Ÿ˜ Want to break into t
๐— ๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€, ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป, ๐—”๐—œ & ๐—ฆ๐—ค๐—Ÿ ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜ ๐˜„๐—ถ๐˜๐—ต ๐—œ๐—•๐— !๐Ÿ˜ Want to break into tech or level up your skills?๐Ÿ’ก โœ… Data Analytics: Analyze & visualize data like a pro โœ… Python: The most in-demand programming language โœ… AI & Machine Learning: Build smart applications โœ… SQL: Work with databases & extract insights ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/40F7YTD ๐Ÿ”ฅ Start your journey today!

Python for Data Analysis: Roadmap
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Python for Data Analysis: Roadmap

๐—ง๐—ผ๐—ฝ ๐Ÿฑ ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿ˜ 1)Data Science Foundations 2)SQL for
๐—ง๐—ผ๐—ฝ ๐Ÿฑ ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐Ÿ˜ 1)Data Science Foundations 2)SQL for Data Science 3)Python for Data Science 4)Introduction to Data Science 5)Data Science Projects  ๐‹๐ข๐ง๐ค ๐Ÿ‘‡:-  https://pdlink.in/4hDFv7E Enroll For FREE & Get Certified ๐ŸŽ“

10 Pandas (python) functions I used the most as a Data Analyst๐Ÿ‘‡ 1/ read_csv(): Reads data from a CSV file. 2/ head(): Displays the first few rows of a df. 3/ info(): Provides metadata about the df. 4/ describe(): Offers statistics. 5/ groupby(): Groups data. 6/ merge(): Combines dfs using a common column. 7/ drop_duplicates(): Removes duplicate rows. 8/ isna(): Checks for missing values. 9/ drop(): Removes specified rows or columns. 10/ apply(): Applies a custom function to df. Join for more: t.me/pythonanalyst

๐—ง๐—ฎ๐˜๐—ฎ ๐—š๐—ฟ๐—ผ๐˜‚๐—ฝ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐˜€๐—ต๐—ถ๐—ฝ ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐˜€๐Ÿ˜ TCS plans to hire 40,000 trainees in 2025
๐—ง๐—ฎ๐˜๐—ฎ ๐—š๐—ฟ๐—ผ๐˜‚๐—ฝ ๐—™๐—ฅ๐—˜๐—˜ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐—ป๐˜€๐—ต๐—ถ๐—ฝ ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐˜€๐Ÿ˜ TCS plans to hire 40,000 trainees in 2025, here are these 3 virtual internships by Tata Group that you can take which will take roughly 4-6 hours to complete. After completing this internship you will get a free certificate that you can add in your resume which will help to increase your chances of getting hired.  ๐‹๐ข๐ง๐ค ๐Ÿ‘‡:-  https://pdlink.in/40Ej1MM Enroll For FREE & Get Certified ๐ŸŽ“

Frequently asked Python practice questions and answers in Data Analyst Interview: 1.Temperature Conversion: Write a program that converts a given temperature from Celsius to Fahrenheit or from Fahrenheit to Celsius based on user input. temp = float(input('Enter the temperature: ')) unit = input('Enter the unit (C/F): ').upper() if unit == 'C': converted = (temp * 9/5) + 32 print(f'Temperature in Fahrenheit: {converted}') elif unit == 'F': converted = (temp - 32) * 5/9 print(f'Temperature in Celsius: {converted}') else: print('Invalid unit') 2.Multiplication Table: Write a program that prints the multiplication table of a given number using a while loop. num = int(input('Enter a number: ')) i = 1 while i <= 10: print(f'{num} x {i} = {num * i}') i += 1 3.Greatest of Three Numbers: Write a program that takes three numbers as input and prints the greatest of the three. num1 = float(input('Enter first number: ')) num2 = float(input('Enter second number: ')) num3 = float(input('Enter third number: ')) if num1 >= num2 and num1 >= num3: print(f'The greatest number is {num1}') elif num2 >= num1 and num2 >= num3: print(f'The greatest number is {num2}') else: print(f'The greatest number is {num3}') 4.Sum of Even Numbers: Write a program that calculates the sum of all even numbers between 1 and a given number using a while loop. num = int(input('Enter a number: ')) total = 0 i = 2 while i <= num: total += i i += 2 print(f'The sum of even numbers up to {num} is {total}') 5.Check Armstrong Number: Write a program that checks if a given number is an Armstrong number. num = int(input('Enter a number: ')) sum_of_digits = 0 original_num = num while num > 0: digit = num % 10 sum_of_digits += digit ** 3 num //= 10 if sum_of_digits == original_num: print(f'{original_num} is an Armstrong number') else: print(f'{original_num} is not an Armstrong number') 6.Reverse a Number: Write a program that reverses the digits of a given number using a while loop. num = int(input('Enter a number: ')) reversed_num = 0 while num > 0: digit = num % 10 reversed_num = reversed_num * 10 + digit num //= 10 print(f'The reversed number is {reversed_num}') 7.Count Vowels and Consonants: Write a program that counts the number of vowels and consonants in a given string. string = input('Enter a string: ').lower() vowels = 'aeiou' vowel_count = 0 consonant_count = 0 for char in string: if char.isalpha(): if char in vowels: vowel_count += 1 else: consonant_count += 1 print(f'Number of vowels: {vowel_count}') print(f'Number of consonants: {consonant_count}') Python Interview Q&A: https://topmate.io/coding/898340 Like for more โค๏ธ ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

๐Ÿญ๐Ÿฌ๐Ÿฌ% ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ถ๐˜๐—ถ ๐—ฉ๐—ถ๐—ฟ๐˜๐˜‚๐—ฎ๐—น ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐˜€ ๐Ÿ˜ ๐Ÿš€ 100% Free โ€“ No hidden costs, no ap
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COMMON TERMINOLOGIES IN PYTHON - PART 1 Have you ever gotten into a discussion with a programmer before? Did you find some of the Terminologies mentioned strange or you didn't fully understand them? In this series, we would be looking at the common Terminologies in python. It is important to know these Terminologies to be able to professionally/properly explain your codes to people and/or to be able to understand what people say in an instant when these codes are mentioned. Below are a few: IDLE (Integrated Development and Learning Environment) - this is an environment that allows you to easily write Python code. IDLE can be used to execute a single statements and create, modify, and execute Python scripts. Python Shell - This is the interactive environment that allows you to type in python code and execute them immediately System Python - This is the version of python that comes with your operating system Prompt - usually represented by the symbol ">>>" and it simply means that python is waiting for you to give it some instructions REPL (Read-Evaluate-Print-Loop) - this refers to the sequence of events in your interactive window in form of a loop (python reads the code inputted>the code is evaluated>output is printed) Argument - this is a value that is passed to a function when called eg print("Hello World")... "Hello World" is the argument that is being passed. Function - this is a code that takes some input, known as arguments, processes that input and produces an output called a return value. E.g print("Hello World")... print is the function Return Value - this is the value that a function returns to the calling script or function when it completes its task (in other words, Output). E.g. >>> print("Hello World") Hello World Where Hello World is your return value. Note: A return value can be any of these variable types: handle, integer, object, or string Script - This is a file where you store your python code in a text file and execute all of the code with a single command Script files - this is a file containing a group of python scripts

๐…๐‘๐„๐„ ๐‚๐ž๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง ๐‚๐จ๐ฎ๐ซ๐ฌ๐ž๐ฌ ๐Ÿ˜ 1) Generative AI 2) Big data artificial intelligence 3 ) Microsoft Al f
๐…๐‘๐„๐„ ๐‚๐ž๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง ๐‚๐จ๐ฎ๐ซ๐ฌ๐ž๐ฌ ๐Ÿ˜ 1) Generative AI 2) Big data artificial intelligence 3 ) Microsoft Al for beginners 4) Prompt Engineering for Chat GPT ๐‹๐ข๐ง๐ค๐Ÿ‘‡ :-  https://pdlink.in/40Fbg9d Enroll For FREE & Get Certified๐ŸŽ“

Python Complete Notion Notes with 5 Practical Projects ๐Ÿ‘‡๐Ÿ‘‡ https://dataanalytics.mini.site/products/bf8c9a6b-8ebc-4480-bd62-
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Python Tutorial

๐—š๐—ฒ๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐——๐—ฟ๐—ฒ๐—ฎ๐—บ ๐—๐—ผ๐—ฏ ๐—œ๐—ป ๐—”๐—บ๐—ฎ๐˜‡๐—ผ๐—ป, ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ, ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜, ๐—ก๐—ฉ๐—œ๐——๐—œ๐—”, ๐—ฎ๐—ป๐—ฑ ๐— ๐—ฒ๐˜๐—ฎ (๐—™๐—ฎ๐—ฐ๏ฟฝ
๐—š๐—ฒ๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐——๐—ฟ๐—ฒ๐—ฎ๐—บ ๐—๐—ผ๐—ฏ ๐—œ๐—ป ๐—”๐—บ๐—ฎ๐˜‡๐—ผ๐—ป, ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ, ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜, ๐—ก๐—ฉ๐—œ๐——๐—œ๐—”, ๐—ฎ๐—ป๐—ฑ ๐— ๐—ฒ๐˜๐—ฎ (๐—™๐—ฎ๐—ฐ๐—ฒ๐—ฏ๐—ผ๐—ผ๐—ธ) ๐˜„๐—ถ๐˜๐—ต ๐˜๐—ต๐—ฒ๐˜€๐—ฒ ๐—ฐ๐—ผ๐—บ๐—ฝ๐—ฟ๐—ฒ๐—ต๐—ฒ๐—ป๐˜€๐—ถ๐˜ƒ๐—ฒ ๐—ฟ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€๐Ÿ˜ 1๏ธโƒฃ Amazon Interviewing Guide 2๏ธโƒฃ Google Interview Tips 3๏ธโƒฃ Microsoft Hiring Tips 4๏ธโƒฃ NVIDIA Hiring Process 5๏ธโƒฃ Meta Onsite SWE Prep Guide ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/40OSJJ6 Crack Interview & Get Your Dream Job In Top MNCs

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How to be a Prompt Engineer 101 The shortest and most comprehensive guide 1. start with an explanation Make a description and character situation at the beginning of the Prompt Error example: Please help me read the following code: {your input here} Correct example: Now let's play the role, you are a senior information security engineer, I will give you a piece of code, please help me read the code and point out where there may be security vulnerable. Text: """ {your input here} """ 2. Prompt to describe the situation In the prompt, it is necessary to describe the context, result, length, format and style as much as possible Error example: Write a short story for kids Correct example: Write a funny soccer story for kids that teaches the kid that persistence is the key for success in the style of Rowling. 3. gives output in the format If you are doing data analysis, please give the input template of the format Error example: Extract house pricing data from the following text. Text: """ {your text containing pricing data} """ Correct example: Extract house pricing data from the following text. Desired format: """ House 1 | $1,000,000 | 100 sqm House 2 | $500,000 | 90 sqm ... (and so on) """ Text: """ {your text containing pricing data} """ 4. Add some example questions and answers Sometimes adding some question and answer examples can make GPT more intelligent Correct example: Extract brand names from the texts below. Text 1: Finxter and YouTube are tech companies. Google is too. Brand names 2: Finxter, YouTube, Google ### Text 2: If you like tech, you'll love Finxter! Brand names 2: Finxter ### Text 3: {your text here} Brand names 3: The question and answer example is also a standard template example in fine-tune 5. Simplify the sentence and clarify the purpose Keep your words as short as possible and don't say useless content Error example: ChatGPT, write a sales page for my company selling sand in the desert, please write only a few sentences, nothing long and complex Correct example: Write a 5-sentence sales page, sell sand in the desert. 6. Good at using introductory words Error example: Write a Python function that plots my net worth over 10 years for different inputs on the initial investment and a given ROI Correct example: # Python function that plots net worth over 10 # years for different inputs on the initial # investment and a given ROI import matplotlib def plot_net_worth(initial, roi):

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