๐ฏ ๐๐ฎ๐บ๐ฒ-๐๐ต๐ฎ๐ป๐ด๐ถ๐ป๐ด ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐๐ผ ๐ ๐ฎ๐๐๐ฒ๐ฟ ๐ฃ๐๐๐ต๐ผ๐ป ๐ณ๐ผ๐ฟ ๐๐ฟ๐ฒ๐ฒ๐
Want to break into Data Science or Tech?
Python is the #1 skill you need โ and starting is easier than you think.๐งโ๐ปโจ๏ธ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3JemBIt
Your career upgrade starts today โ no excuses!โ ๏ธ
Want to break into Data Science or Tech?
Python is the #1 skill you need โ and starting is easier than you think.๐งโ๐ปโจ๏ธ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3JemBIt
Your career upgrade starts today โ no excuses!โ ๏ธ
๐1
๐ ๐๐๐ฌ๐ญ ๐๐จ๐ฐ๐๐ซ ๐๐ ๐๐จ๐ฎ๐ซ๐ฌ๐๐ฌ ๐ข๐ง ๐๐๐๐ ๐ญ๐จ ๐๐ค๐ฒ๐ซ๐จ๐๐ค๐๐ญ ๐๐จ๐ฎ๐ซ ๐๐๐ซ๐๐๐ซ๐
In todayโs data-driven world, Power BI has become one of the most in-demand tools for businessesใฝ๏ธ๐
The best part? You donโt need to spend a fortuneโthere are free and affordable courses available online to get you started.๐ฅ๐งโ๐ป
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4mDvgDj
Start learning today and position yourself for success in 2025!โ ๏ธ
In todayโs data-driven world, Power BI has become one of the most in-demand tools for businessesใฝ๏ธ๐
The best part? You donโt need to spend a fortuneโthere are free and affordable courses available online to get you started.๐ฅ๐งโ๐ป
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4mDvgDj
Start learning today and position yourself for success in 2025!โ ๏ธ
๐1
๐ Top 10 Data Analytics Concepts Everyone Should Know ๐
1๏ธโฃ Data Cleaning ๐งน
Removing duplicates, fixing missing or inconsistent data.
๐ Tools: Excel, Python (Pandas), SQL
2๏ธโฃ Descriptive Statistics ๐
Mean, median, mode, standard deviationโbasic measures to summarize data.
๐ Used for understanding data distribution
3๏ธโฃ Data Visualization ๐
Creating charts and dashboards to spot patterns.
๐ Tools: Power BI, Tableau, Matplotlib, Seaborn
4๏ธโฃ Exploratory Data Analysis (EDA) ๐
Identifying trends, outliers, and correlations through deep data exploration.
๐ Step before modeling
5๏ธโฃ SQL for Data Extraction ๐๏ธ
Querying databases to retrieve specific information.
๐ Focus on SELECT, JOIN, GROUP BY, WHERE
6๏ธโฃ Hypothesis Testing โ๏ธ
Making decisions using sample data (A/B testing, p-value, confidence intervals).
๐ Useful in product or marketing experiments
7๏ธโฃ Correlation vs Causation ๐
Just because two things are related doesnโt mean one causes the other!
8๏ธโฃ Data Modeling ๐ง
Creating models to predict or explain outcomes.
๐ Linear regression, decision trees, clustering
9๏ธโฃ KPIs & Metrics ๐ฏ
Understanding business performance indicators like ROI, retention rate, churn.
๐ Storytelling with Data ๐ฃ๏ธ
Translating raw numbers into insights stakeholders can act on.
๐ Use clear visuals, simple language, and real-world impact
โค๏ธ React for more
1๏ธโฃ Data Cleaning ๐งน
Removing duplicates, fixing missing or inconsistent data.
๐ Tools: Excel, Python (Pandas), SQL
2๏ธโฃ Descriptive Statistics ๐
Mean, median, mode, standard deviationโbasic measures to summarize data.
๐ Used for understanding data distribution
3๏ธโฃ Data Visualization ๐
Creating charts and dashboards to spot patterns.
๐ Tools: Power BI, Tableau, Matplotlib, Seaborn
4๏ธโฃ Exploratory Data Analysis (EDA) ๐
Identifying trends, outliers, and correlations through deep data exploration.
๐ Step before modeling
5๏ธโฃ SQL for Data Extraction ๐๏ธ
Querying databases to retrieve specific information.
๐ Focus on SELECT, JOIN, GROUP BY, WHERE
6๏ธโฃ Hypothesis Testing โ๏ธ
Making decisions using sample data (A/B testing, p-value, confidence intervals).
๐ Useful in product or marketing experiments
7๏ธโฃ Correlation vs Causation ๐
Just because two things are related doesnโt mean one causes the other!
8๏ธโฃ Data Modeling ๐ง
Creating models to predict or explain outcomes.
๐ Linear regression, decision trees, clustering
9๏ธโฃ KPIs & Metrics ๐ฏ
Understanding business performance indicators like ROI, retention rate, churn.
๐ Storytelling with Data ๐ฃ๏ธ
Translating raw numbers into insights stakeholders can act on.
๐ Use clear visuals, simple language, and real-world impact
โค๏ธ React for more
๐1
Forwarded from Python Projects & Resources
๐ฐ ๐๐ฟ๐ฒ๐ฒ ๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ผ๐ณ๐ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐๐ฒ ๐๐ ๐ง๐ฟ๐ฎ๐ถ๐ป๐ถ๐ป๐ด ๐ ๐ผ๐ฑ๐๐น๐ฒ๐ ๐๐ผ ๐๐ผ๐ผ๐๐ ๐ฌ๐ผ๐๐ฟ ๐ฆ๐ธ๐ถ๐น๐น๐๐
Generative AI is no longer just a buzzwordโitโs a career-maker๐งโ๐ป๐
Recruiters are actively looking for candidates with prompt engineering skills, hands-on AI experience, and the ability to use tools like GitHub Copilot and Azure OpenAI effectively.๐ฅ
๐๐ข๐ง๐ค๐:-
http://pdlink.in/4fKT5pL
If youโre looking to stand out in interviews, land AI-powered roles, or future-proof your career, this is your chance
Generative AI is no longer just a buzzwordโitโs a career-maker๐งโ๐ป๐
Recruiters are actively looking for candidates with prompt engineering skills, hands-on AI experience, and the ability to use tools like GitHub Copilot and Azure OpenAI effectively.๐ฅ
๐๐ข๐ง๐ค๐:-
http://pdlink.in/4fKT5pL
If youโre looking to stand out in interviews, land AI-powered roles, or future-proof your career, this is your chance
๐1
๐
Voice Recorder in Python
pip install sounddevice
Join us for more -
https://t.me/pythonfreebootcamp
pip install sounddevice
import sounddevice
from scipy.io.wavfile import write
#sample_rate
fs=44100
#Ask to enter the recording time
second = int(input("Enter the Recording Time in second: "))
print("Recordingโฆ\n")
record_voice = sounddevice.rec(int(second * fs),samplerate=fs,channels=2)
sounddevice.wait()
write("MyRecording.wav",fs,record_voice)
print("Recording is done Please check you folder to listen recording")
Join us for more -
https://t.me/pythonfreebootcamp
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