We have the Key to unlock AI-Powered Data Skills!
We have got some news for College grads & pros:
Level up with PW Skills' Data Analytics & Data Science with Gen AI course!
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Ready for a data career boost? ➡️
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Click Here for Data Analytics Course:
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We have got some news for College grads & pros:
Level up with PW Skills' Data Analytics & Data Science with Gen AI course!
✅ Real-world projects
✅ Professional instructors
✅ Flexible learning
✅ Job Assistance
Ready for a data career boost? ➡️
Click Here for Data Science with Generative AI Course:
https://shorturl.at/j4lTD
Click Here for Data Analytics Course:
https://shorturl.at/7nrE5
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Forwarded from SQL Programming Resources
𝗧𝗼𝗽 𝟰 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗙𝗼𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 😍
These FREE resources are all you need to go from beginner to confident analyst! 💻📊
✅ Hands-on projects
✅ Beginner to advanced lessons
✅ Resume-worthy skills
𝗟𝗶𝗻𝗸:-👇
https://pdlink.in/4jkQaW1
Learn today, level up tomorrow. Let’s go!✅
These FREE resources are all you need to go from beginner to confident analyst! 💻📊
✅ Hands-on projects
✅ Beginner to advanced lessons
✅ Resume-worthy skills
𝗟𝗶𝗻𝗸:-👇
https://pdlink.in/4jkQaW1
Learn today, level up tomorrow. Let’s go!✅
5 Essential Portfolio Projects for data analysts 😄👇
1. Exploratory Data Analysis (EDA) on a Real Dataset: Choose a dataset related to your interests, perform thorough EDA, visualize trends, and draw insights. This showcases your ability to understand data and derive meaningful conclusions.
Free websites to find datasets: https://t.me/DataPortfolio/8
2. Predictive Modeling Project: Build a predictive model, such as a linear regression or classification model. Use a dataset to train and test your model, and evaluate its performance. Highlight your skills in machine learning and statistical analysis.
3. Data Cleaning and Transformation: Take a messy dataset and demonstrate your skills in cleaning and transforming data. Showcase your ability to handle missing values, outliers, and prepare data for analysis.
4. Dashboard Creation: Utilize tools like Tableau or Power BI to create an interactive dashboard. This project demonstrates your ability to present data insights in a visually appealing and user-friendly manner.
5. Time Series Analysis: Work with time-series data to forecast future trends. This could involve stock prices, weather data, or any other time-dependent dataset. Showcase your understanding of time-series concepts and forecasting techniques.
Share with credits: https://t.me/sqlspecialist
Like it if you need more posts like this 😄❤️
Hope it helps :)
1. Exploratory Data Analysis (EDA) on a Real Dataset: Choose a dataset related to your interests, perform thorough EDA, visualize trends, and draw insights. This showcases your ability to understand data and derive meaningful conclusions.
Free websites to find datasets: https://t.me/DataPortfolio/8
2. Predictive Modeling Project: Build a predictive model, such as a linear regression or classification model. Use a dataset to train and test your model, and evaluate its performance. Highlight your skills in machine learning and statistical analysis.
3. Data Cleaning and Transformation: Take a messy dataset and demonstrate your skills in cleaning and transforming data. Showcase your ability to handle missing values, outliers, and prepare data for analysis.
4. Dashboard Creation: Utilize tools like Tableau or Power BI to create an interactive dashboard. This project demonstrates your ability to present data insights in a visually appealing and user-friendly manner.
5. Time Series Analysis: Work with time-series data to forecast future trends. This could involve stock prices, weather data, or any other time-dependent dataset. Showcase your understanding of time-series concepts and forecasting techniques.
Share with credits: https://t.me/sqlspecialist
Like it if you need more posts like this 😄❤️
Hope it helps :)
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𝗣𝗼𝘄𝗲𝗿𝗕𝗜 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗿𝗼𝗺 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁😍
✅ Beginner-friendly
✅ Straight from Microsoft
✅ And yes… a badge for that resume flex
Perfect for beginners, job seekers, & Working Professionals
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/4iq8QlM
Enroll for FREE & Get Certified 🎓
✅ Beginner-friendly
✅ Straight from Microsoft
✅ And yes… a badge for that resume flex
Perfect for beginners, job seekers, & Working Professionals
𝐋𝐢𝐧𝐤 👇:-
https://pdlink.in/4iq8QlM
Enroll for FREE & Get Certified 🎓
from turtle import *
import turtle as t
def my_turtle():
# Choices
sides = str(3)
loops = str(450)
pen = 1
for i in range(int(loops)):
forward(i * 2/int(sides) + i)
left(360/int(sides) + .350)
hideturtle()
pensize(pen)
speed(30)
my_turtle()
t.done()👍3
𝗗𝗿𝗲𝗮𝗺 𝗝𝗼𝗯 𝗮𝘁 𝗚𝗼𝗼𝗴𝗹𝗲? 𝗧𝗵𝗲𝘀𝗲 𝟰 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗪𝗶𝗹𝗹 𝗛𝗲𝗹𝗽 𝗬𝗼𝘂 𝗚𝗲𝘁 𝗧𝗵𝗲𝗿𝗲😍
Dreaming of working at Google but not sure where to even begin?📍
Start with these FREE insider resources—from building a resume that stands out to mastering the Google interview process. 🎯
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/441GCKF
Because if someone else can do it, so can you. Why not you? Why not now?✅️
Dreaming of working at Google but not sure where to even begin?📍
Start with these FREE insider resources—from building a resume that stands out to mastering the Google interview process. 🎯
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/441GCKF
Because if someone else can do it, so can you. Why not you? Why not now?✅️
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𝗡𝗼 𝗗𝗲𝗴𝗿𝗲𝗲? 𝗡𝗼 𝗣𝗿𝗼𝗯𝗹𝗲𝗺. 𝗧𝗵𝗲𝘀𝗲 𝟰 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗖𝗮𝗻 𝗟𝗮𝗻𝗱 𝗬𝗼𝘂 𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗝𝗼𝗯😍
Dreaming of a career in data but don’t have a degree? You don’t need one. What you do need are the right skills🔗
These 4 free/affordable certifications can get you there. 💻✨
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4ioaJ2p
Let’s get you certified and hired!✅️
Dreaming of a career in data but don’t have a degree? You don’t need one. What you do need are the right skills🔗
These 4 free/affordable certifications can get you there. 💻✨
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4ioaJ2p
Let’s get you certified and hired!✅️
👍2
𝗧𝗼𝗽 𝟭𝟱 𝗚𝗮𝗺𝗲 𝗗𝗲𝘃 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀👾🎮
1. C++: AAA games (Unreal)
2. C#: Unity, indie game
3. JavaScript: Web game
4. Java: Android game
5. Python: Prototypes (Pygame)
6. Lua: Scripting (Roblox)
7. Swift: iOS games
8. Objective-C: Legacy iOS/macOS
9. Rust: System-level (Amethyst)
10. Go: Multiplayer servers
11. HTML5 + JS: Simple 2D games
12. Kotlin: Android apps
13. Haxe: Cross-platform 2D
14. TypeScript: Scalable web games
15. Ruby: Lightweight 2D games
1. C++: AAA games (Unreal)
2. C#: Unity, indie game
3. JavaScript: Web game
4. Java: Android game
5. Python: Prototypes (Pygame)
6. Lua: Scripting (Roblox)
7. Swift: iOS games
8. Objective-C: Legacy iOS/macOS
9. Rust: System-level (Amethyst)
10. Go: Multiplayer servers
11. HTML5 + JS: Simple 2D games
12. Kotlin: Android apps
13. Haxe: Cross-platform 2D
14. TypeScript: Scalable web games
15. Ruby: Lightweight 2D games
👍3
𝟱 𝗙𝗿𝗲𝗲 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗧𝗵𝗮𝘁’𝗹𝗹 𝗠𝗮𝗸𝗲 𝗦𝗤𝗟 𝗙𝗶𝗻𝗮𝗹𝗹𝘆 𝗖𝗹𝗶𝗰𝗸.😍
SQL seems tough, right? 😩
These 5 FREE SQL resources will take you from beginner to advanced without boring theory dumps or confusion.📊
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3GtntaC
Master it with ease. 💡
SQL seems tough, right? 😩
These 5 FREE SQL resources will take you from beginner to advanced without boring theory dumps or confusion.📊
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3GtntaC
Master it with ease. 💡
Forwarded from Artificial Intelligence
𝗪𝗮𝗻𝘁 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 — 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 — 𝗗𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝗳𝗿𝗼𝗺 𝗚𝗼𝗼𝗴𝗹𝗲?😍
Whether you’re a student, job seeker, or just hungry to upskill — these 5 beginner-friendly courses are your golden ticket. 🎟️
Just career-boosting knowledge and certificates that make your resume pop📄
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/42vL6br
All The Best 🎊
Whether you’re a student, job seeker, or just hungry to upskill — these 5 beginner-friendly courses are your golden ticket. 🎟️
Just career-boosting knowledge and certificates that make your resume pop📄
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/42vL6br
All The Best 🎊
👍1
Python Roadmap
Stage 1 - Learn Python basics: syntax, loops, conditionals, and data types.
Stage 2 - Study OOP concepts and Python modules.
Stage 3 - Practice file handling, exceptions, and JSON handling.
Stage 4 - Use virtual environments and package management.
Stage 5 - Explore libraries like NumPy, Pandas, and Matplotlib.
Stage 6 - Learn threading, multiprocessing, and decorators.
Stage 7 - Improve testing and debugging.
Stage 8 - Contribute to open-source projects.
🏆 – Python Developer
Stage 1 - Learn Python basics: syntax, loops, conditionals, and data types.
Stage 2 - Study OOP concepts and Python modules.
Stage 3 - Practice file handling, exceptions, and JSON handling.
Stage 4 - Use virtual environments and package management.
Stage 5 - Explore libraries like NumPy, Pandas, and Matplotlib.
Stage 6 - Learn threading, multiprocessing, and decorators.
Stage 7 - Improve testing and debugging.
Stage 8 - Contribute to open-source projects.
🏆 – Python Developer
👍4
𝗧𝗖𝗦 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
Want to kickstart your career in Data Analytics but don’t know where to begin?👨💻
TCS has your back with a completely FREE course designed just for beginners✅
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jNMoEg
Just pure, job-ready learning📍
Want to kickstart your career in Data Analytics but don’t know where to begin?👨💻
TCS has your back with a completely FREE course designed just for beginners✅
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jNMoEg
Just pure, job-ready learning📍
👍1
To learn data structures and algorithms in Python, you can follow these steps:
1. Start with the basics: Learn about the most common data structures, such as arrays, linked lists, stacks, queues, trees, and graphs. Learn how to implement them in Python and understand their time and space complexities.
2. Study algorithms: Study the most common algorithms for searching, sorting, and traversing data structures. Understand their time and space complexities and the trade-offs between different algorithms.
3. Practice, practice, practice: The more you practice implementing data structures and algorithms, the better you will get at it. You can start by solving problems on websites like LeetCode and HackerRank, or by working on small projects of your own.
4. Read and learn from others: Read articles and blogs written by experts in the field, and learn from their experiences and insights. Follow the work of other Python developers on Github, and see how they use data structures and algorithms in their projects.
1. Start with the basics: Learn about the most common data structures, such as arrays, linked lists, stacks, queues, trees, and graphs. Learn how to implement them in Python and understand their time and space complexities.
2. Study algorithms: Study the most common algorithms for searching, sorting, and traversing data structures. Understand their time and space complexities and the trade-offs between different algorithms.
3. Practice, practice, practice: The more you practice implementing data structures and algorithms, the better you will get at it. You can start by solving problems on websites like LeetCode and HackerRank, or by working on small projects of your own.
4. Read and learn from others: Read articles and blogs written by experts in the field, and learn from their experiences and insights. Follow the work of other Python developers on Github, and see how they use data structures and algorithms in their projects.
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𝟲 𝗕𝗲𝘀𝘁 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗖𝗵𝗮𝗻𝗻𝗲𝗹𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜😍
Power BI Isn’t Just a Tool—It’s a Career Game-Changer🚀
Whether you’re a student, a working professional, or switching careers, learning Power BI can set you apart in the competitive world of data analytics📊
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3ELirpu
Your Analytics Journey Starts Now✅️
Power BI Isn’t Just a Tool—It’s a Career Game-Changer🚀
Whether you’re a student, a working professional, or switching careers, learning Power BI can set you apart in the competitive world of data analytics📊
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3ELirpu
Your Analytics Journey Starts Now✅️
👎1
If you use whatsapp, you should definitely join this Python Channel for Free Resources 👇👇
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
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