Python for Data Analysts


Гео и язык канала: не указан, не указан
Категория: не указана


Python for Data Analysts
Subscribe to our newsletter: https://datasimplifier.beehiiv.com/

Связанные каналы  |  Похожие каналы

Гео и язык канала
не указан, не указан
Категория
не указана
Статистика
Фильтр публикаций


🥳 Get 0.100 USD for every new active refer you bring to SearchBot!

ℹ️ For each new active user, you will get $0.100, and every search they makes, you'll earn $0.0050

👉 Join now


30 Python libraries .pdf
9.3Мб
30 Python libraries .pdf










Python Libraries every Data Scientist should know










Sent to all who liked and commented on the post 😄


Python for Data Science Roadmap
👇👇
https://t.me/DataScienceInterviews/6


Complete Python Course with Building 10 Real-world Applications
👇👇
https://www.linkedin.com/posts/sql-analysts_python-viral-pythonprogramming-activity-7141826568485605376-tf7V




Python Most Important Interview Questions

Question 1: Calculate the average stock price for Company X over the last 6 months.

Question 2: Identify the month with the highest total sales for Company Y using their monthly sales data.

Question 3: Find the maximum and minimum stock price for Company Z on any given day in the last year.

Question 4: Create a column in the DataFrame showing the percentage change in stock price from the previous day for Company X.

Question 5: Determine the number of days when the stock price of Company Y was above its 30-day moving average. Question

6: Compare the average stock price of Companies X and Z in the first quarter of the year.

#Data#
----------------------------------------------
import pandas as pd
data = {   'Date': pd.date_range(start='2023-01-01', periods=180, freq='D'),   'CompanyX_StockPrice': pd.np.random.randint(50, 150, 180),   'CompanyY_Sales': pd.np.random.randint(20000, 50000, 180),   'CompanyZ_StockPrice': pd.np.random.randint(70, 200, 180) }

df = pd.DataFrame(data)




150 SQL Queries for Practice
👇👇
https://t.me/DataAnalystInterview/170


Data Visualization with Python.pdf
7.7Мб
Data Visualization with Python
Dr. Pooja, 2023


Python Data Cleaning Cookbook.pdf
3.4Мб
Python Data Cleaning Cookbook
Michael Walker, 2023

Показано 20 последних публикаций.

7 939

подписчиков
Статистика канала