Top Tweets for #30daysofdataanalysis
The 30 Days Data Challenge for our newest cohort is live let's see what you've got . π₯π
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Day 22 of #30DaysOfDataAnalysis
Harness the power of Pandas DataFrames for data analysis.
Learn how to manipulate and analyze large datasets with ease.
df = pd.DataFrame(data)
summary = df.describe()
Get a summary of your data with Pandas' describe method.
#Python, #BI, #Excel
Day 16 of #30DaysOfDataAnalysis
Combine power of Excel-Python for data analysis.
Automate Excel tasks and perform advanced analytics with Python scripts faster
import openpyxl
wb = openpyxl.load_workbook('report.xlsx')
sheet = https://t.co/wNgbzNXWoU
sheet['A1'] = 'Auto Report'
Day 15 of #30DaysOfDataAnalysis
Advanced Data Visualization with Matplotlib:
Create advanced viz using Matplotlib. Learn to customize your plots
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 10, 100)
y = np.sin(x)
https://t.co/11mwEmHCYR()
Day 6 of #30DaysOfDataAnalysis
Go beyond basic queries with advanced SQL
SELECT name, department, salary,
RANK() OVER (PARTITION BY department ORDER BY salary DESC) as rank
FROM employees;
Rank employees by salary within each department using window functions.
#SQL, #DataViz
Day 1 of #30DaysOfDataAnalysis
#SQL is powerful tool for data analysis! Learn how to write efficient queries to extract meaningful insights from your datasets.
SELECT department, COUNT(*) AS employee_count
FROM employees
GROUP BY department;
Counts the number of emp in each dep
Day 6 #30daysofcode #30daysofdataanalysis
Learned the concept of filtering in Pandas and also little bit concept of Updating datas in pandas like renaming columns
#Python #progr
#30daysofcode #30daysofDataAnalysis
Day 5 Today learned the concept of Indexing in Pandas Library as today was very hectic schedule i learned this much only
#30daysofcode #30daysofdataanalysis
revised the new concepts of PANDAS(Python Library) from new Playlist
and now will be studying from that playlist onlyy
#Python #pythonprogramming
Day 3:-
Learned Data Cleaning in Pandas including how to drop Null Values in a dataset and also how to correct date format in dataset
Today also attended the live master class today about Data Analysis using Tableau
#30daysofcode #30daysofdataanalysis
#python
#30daysofcode #30daysofdataanalysis
Day 1 Started Learning the Python Data Science Library called Pandas where I learned the basics of series and dataframes and also how to load csv files into dataframes
Here is the playlist I followed:-
"Day 7 of #30DaysofDataAnalysis and I'm loving every minute of it! Today, I dove into a hotel reservation dataset and applied some #MachineLearning magic. Check out my Jupyter notebook on GitHub for a closer look: https://t.co/dfHA9M5xip #DataScience #DataAnalysis #EDA #AI"
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