𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
𝗦𝗤𝗟:- https://pdlink.in/3TcvfsA
𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲:- https://pdlink.in/3Hfpwjc
𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲:- https://pdlink.in/3ZyQpFd
𝗣𝘆𝘁𝗵𝗼𝗻 :- https://pdlink.in/3Hnx3wh
𝗗𝗲𝘃𝗢𝗽𝘀 :- https://pdlink.in/4jyxBwS
𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 :- https://pdlink.in/4jCAtJ5
Enroll for FREE & Get Certified 🎓
𝗦𝗤𝗟:- https://pdlink.in/3TcvfsA
𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲:- https://pdlink.in/3Hfpwjc
𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲:- https://pdlink.in/3ZyQpFd
𝗣𝘆𝘁𝗵𝗼𝗻 :- https://pdlink.in/3Hnx3wh
𝗗𝗲𝘃𝗢𝗽𝘀 :- https://pdlink.in/4jyxBwS
𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 :- https://pdlink.in/4jCAtJ5
Enroll for FREE & Get Certified 🎓
Forwarded from Python Projects & Resources
𝟱 𝗙𝗿𝗲𝗲 𝗠𝗜𝗧 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗧𝗮𝗸𝗲 𝗢𝗻𝗹𝗶𝗻𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱😍
🎓No MIT Admission? No Problem — Learn from MIT for Free!🔥
MIT is known for world-class education—but you don’t need to walk its halls to access its knowledge📚📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jBNtP2
These courses offer industry-relevant skills & completion certificates at no cost✅️
🎓No MIT Admission? No Problem — Learn from MIT for Free!🔥
MIT is known for world-class education—but you don’t need to walk its halls to access its knowledge📚📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jBNtP2
These courses offer industry-relevant skills & completion certificates at no cost✅️
❤2
Forwarded from Python Projects & Resources
𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱!😍
Want to communicate with AI like a pro? 🤖
Whether you’re a data analyst, AI developer, content creator, or student, this is the must-have skill of 2025✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/456lMuf
Save this now & unlock your AI potential!⚡
Want to communicate with AI like a pro? 🤖
Whether you’re a data analyst, AI developer, content creator, or student, this is the must-have skill of 2025✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/456lMuf
Save this now & unlock your AI potential!⚡
Forwarded from Python Projects & Resources
𝟱 𝗙𝗥𝗘𝗘 𝗠𝗜𝗧 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗧𝗲𝗰𝗵, 𝗔𝗜 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲😍
Dreaming of an MIT education without the tuition fees? 🎯
These 5 FREE courses from MIT will help you master the fundamentals of programming, AI, machine learning, and data science—all from the comfort of your home! 🌐✨
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/45cvR95
Your gateway to a smarter career✅️
Dreaming of an MIT education without the tuition fees? 🎯
These 5 FREE courses from MIT will help you master the fundamentals of programming, AI, machine learning, and data science—all from the comfort of your home! 🌐✨
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/45cvR95
Your gateway to a smarter career✅️
Tips to become a Data Engineer 👇👇
1. Data Engineering Basics: At its core, it's about efficiently moving and reshaping data from one place/format to another.
2. Be Curious: The field is vast. Dive deep, ask questions, and always be in the mode of learning and experimenting.
3. Master Data: Understand the intricacies of data types, where they originate, and how they're structured.
4. Programming: Grasping a language is crucial. If you're unsure, start with Python – it's versatile and widely used in the industry.
5. SQL: A timeless tool for querying databases. Mastering SQL will empower you to work with data across various platforms.
6. Command Line: Familiarizing yourself with command line operations can save a lot of time, especially for quick and repetitive tasks.
7. Know Computers: A basic understanding of how computers communicate and process information can guide better data engineering decisions.
8. Personal Projects: Practical experience is invaluable. Start projects, learn from them, and showcase your work on platforms like GitHub.
9. APIs and JSON: Many modern data sources are API-based. Understanding how to extract and manipulate JSON data will be a daily task.
10. Tools Mastery: Get proficient with your primary tools, but stay updated with emerging technologies and platforms.
11. Data Storage Basics: Know the difference and use-cases for Databases, Data Lakes, and Data Warehouses. Understand the distinction between OLTP (online transaction processing) and OLAP (online analytical processing).
12. Cloud Platforms: The cloud is the future. AWS, Azure, and GCP offer free tiers to start experimenting.
13. Business Acumen: A data engineer who understands business metrics and their implications can offer more value.
14. Data Grain: Dive deep into datasets to understand their finest level of detail. It aids in more precise querying and analytics.
15. Data Formats: Recognizing main data formats (like JSON, XML, CSV, SQLite, Database) will help you navigate different datasets with ease.
1. Data Engineering Basics: At its core, it's about efficiently moving and reshaping data from one place/format to another.
2. Be Curious: The field is vast. Dive deep, ask questions, and always be in the mode of learning and experimenting.
3. Master Data: Understand the intricacies of data types, where they originate, and how they're structured.
4. Programming: Grasping a language is crucial. If you're unsure, start with Python – it's versatile and widely used in the industry.
5. SQL: A timeless tool for querying databases. Mastering SQL will empower you to work with data across various platforms.
6. Command Line: Familiarizing yourself with command line operations can save a lot of time, especially for quick and repetitive tasks.
7. Know Computers: A basic understanding of how computers communicate and process information can guide better data engineering decisions.
8. Personal Projects: Practical experience is invaluable. Start projects, learn from them, and showcase your work on platforms like GitHub.
9. APIs and JSON: Many modern data sources are API-based. Understanding how to extract and manipulate JSON data will be a daily task.
10. Tools Mastery: Get proficient with your primary tools, but stay updated with emerging technologies and platforms.
11. Data Storage Basics: Know the difference and use-cases for Databases, Data Lakes, and Data Warehouses. Understand the distinction between OLTP (online transaction processing) and OLAP (online analytical processing).
12. Cloud Platforms: The cloud is the future. AWS, Azure, and GCP offer free tiers to start experimenting.
13. Business Acumen: A data engineer who understands business metrics and their implications can offer more value.
14. Data Grain: Dive deep into datasets to understand their finest level of detail. It aids in more precise querying and analytics.
15. Data Formats: Recognizing main data formats (like JSON, XML, CSV, SQLite, Database) will help you navigate different datasets with ease.
❤1
Forwarded from Artificial Intelligence
𝟱 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗚𝗶𝘁𝗛𝘂𝗯 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝗶𝗲𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝘆𝘁𝗵𝗼𝗻 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲😍
Looking to Master Python for Free?✨️
These 5 GitHub repositories are all you need to level up — from beginner to advanced! 💻
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3FG7DcW
📌 Save this post & share it with a Python learner!
Looking to Master Python for Free?✨️
These 5 GitHub repositories are all you need to level up — from beginner to advanced! 💻
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3FG7DcW
📌 Save this post & share it with a Python learner!
❤2
Forwarded from Artificial Intelligence
𝟲 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗖𝗵𝗮𝗻𝗴𝗲 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗜𝗻 𝟮𝟬𝟮𝟱 😍
🎯 Want to switch careers or upgrade your skills — without spending a single rupee?
Check out 6 handpicked, beginner-friendly courses in high-demand fields like Data Science, Web Development, Digital Marketing, Project Management, and more. 🚀
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4e1I17a
💥 Start learning today and build the skills top companies want!✅️
🎯 Want to switch careers or upgrade your skills — without spending a single rupee?
Check out 6 handpicked, beginner-friendly courses in high-demand fields like Data Science, Web Development, Digital Marketing, Project Management, and more. 🚀
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4e1I17a
💥 Start learning today and build the skills top companies want!✅️
❤1
Forwarded from Artificial Intelligence
𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 𝘄𝗶𝘁𝗵 𝗛𝗮𝗿𝘃𝗮𝗿𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆😍
🎯 Want to break into Data Science without spending a single rupee?💰
Harvard University is offering a goldmine of free courses that make top-tier education accessible to anyone, anywhere👨💻✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3HxOgTW
These courses are designed by Ivy League experts and are trusted by thousands globally✅️
🎯 Want to break into Data Science without spending a single rupee?💰
Harvard University is offering a goldmine of free courses that make top-tier education accessible to anyone, anywhere👨💻✨️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3HxOgTW
These courses are designed by Ivy League experts and are trusted by thousands globally✅️
❤1
Amazon Interview Process for Data Scientist position
📍Round 1- Phone Screen round
This was a preliminary round to check my capability, projects to coding, Stats, ML, etc.
After clearing this round the technical Interview rounds started. There were 5-6 rounds (Multiple rounds in one day).
📍 𝗥𝗼𝘂𝗻𝗱 𝟮- 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗕𝗿𝗲𝗮𝗱𝘁𝗵:
In this round the interviewer tested my knowledge on different kinds of topics.
📍𝗥𝗼𝘂𝗻𝗱 𝟯- 𝗗𝗲𝗽𝘁𝗵 𝗥𝗼𝘂𝗻𝗱:
In this round the interviewers grilled deeper into 1-2 topics. I was asked questions around:
Standard ML tech, Linear Equation, Techniques, etc.
📍𝗥𝗼𝘂𝗻𝗱 𝟰- 𝗖𝗼𝗱𝗶𝗻𝗴 𝗥𝗼𝘂𝗻𝗱-
This was a Python coding round, which I cleared successfully.
📍𝗥𝗼𝘂𝗻𝗱 𝟱- This was 𝗛𝗶𝗿𝗶𝗻𝗴 𝗠𝗮𝗻𝗮𝗴𝗲𝗿 where my fitment for the team got assessed.
📍𝗟𝗮𝘀𝘁 𝗥𝗼𝘂𝗻𝗱- 𝗕𝗮𝗿 𝗥𝗮𝗶𝘀𝗲𝗿- Very important round, I was asked heavily around Leadership principles & Employee dignity questions.
So, here are my Tips if you’re targeting any Data Science role:
-> Never make up stuff & don’t lie in your Resume.
-> Projects thoroughly study.
-> Practice SQL, DSA, Coding problem on Leetcode/Hackerank.
-> Download data from Kaggle & build EDA (Data manipulation questions are asked)
Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624
ENJOY LEARNING 👍👍
📍Round 1- Phone Screen round
This was a preliminary round to check my capability, projects to coding, Stats, ML, etc.
After clearing this round the technical Interview rounds started. There were 5-6 rounds (Multiple rounds in one day).
📍 𝗥𝗼𝘂𝗻𝗱 𝟮- 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗕𝗿𝗲𝗮𝗱𝘁𝗵:
In this round the interviewer tested my knowledge on different kinds of topics.
📍𝗥𝗼𝘂𝗻𝗱 𝟯- 𝗗𝗲𝗽𝘁𝗵 𝗥𝗼𝘂𝗻𝗱:
In this round the interviewers grilled deeper into 1-2 topics. I was asked questions around:
Standard ML tech, Linear Equation, Techniques, etc.
📍𝗥𝗼𝘂𝗻𝗱 𝟰- 𝗖𝗼𝗱𝗶𝗻𝗴 𝗥𝗼𝘂𝗻𝗱-
This was a Python coding round, which I cleared successfully.
📍𝗥𝗼𝘂𝗻𝗱 𝟱- This was 𝗛𝗶𝗿𝗶𝗻𝗴 𝗠𝗮𝗻𝗮𝗴𝗲𝗿 where my fitment for the team got assessed.
📍𝗟𝗮𝘀𝘁 𝗥𝗼𝘂𝗻𝗱- 𝗕𝗮𝗿 𝗥𝗮𝗶𝘀𝗲𝗿- Very important round, I was asked heavily around Leadership principles & Employee dignity questions.
So, here are my Tips if you’re targeting any Data Science role:
-> Never make up stuff & don’t lie in your Resume.
-> Projects thoroughly study.
-> Practice SQL, DSA, Coding problem on Leetcode/Hackerank.
-> Download data from Kaggle & build EDA (Data manipulation questions are asked)
Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624
ENJOY LEARNING 👍👍
❤3
Forwarded from Artificial Intelligence
𝐈𝐁𝐌 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬😍
🚀 Dive into the world of Data Analytics with these 6 free courses by IBM!
Gain practical knowledge and stand out in your career with tools designed for real-world applications.
All courses come with expert guidance and are free to access!🎉
𝐋𝐢𝐧𝐤 👇:-
https://bit.ly/4iXOmmb
Enroll For FREE & Get Certified 🎓
🚀 Dive into the world of Data Analytics with these 6 free courses by IBM!
Gain practical knowledge and stand out in your career with tools designed for real-world applications.
All courses come with expert guidance and are free to access!🎉
𝐋𝐢𝐧𝐤 👇:-
https://bit.ly/4iXOmmb
Enroll For FREE & Get Certified 🎓
❤2
Machine Learning Algorithms every data scientist should know:
📌 Supervised Learning:
🔹 Regression
∟ Linear Regression
∟ Ridge & Lasso Regression
∟ Polynomial Regression
🔹 Classification
∟ Logistic Regression
∟ K-Nearest Neighbors (KNN)
∟ Decision Tree
∟ Random Forest
∟ Support Vector Machine (SVM)
∟ Naive Bayes
∟ Gradient Boosting (XGBoost, LightGBM, CatBoost)
📌 Unsupervised Learning:
🔹 Clustering
∟ K-Means
∟ Hierarchical Clustering
∟ DBSCAN
🔹 Dimensionality Reduction
∟ PCA (Principal Component Analysis)
∟ t-SNE
∟ LDA (Linear Discriminant Analysis)
📌 Reinforcement Learning (Basics):
∟ Q-Learning
∟ Deep Q Network (DQN)
📌 Ensemble Techniques:
∟ Bagging (Random Forest)
∟ Boosting (XGBoost, AdaBoost, Gradient Boosting)
∟ Stacking
Don’t forget to learn model evaluation metrics: accuracy, precision, recall, F1-score, AUC-ROC, confusion matrix, etc.
Free Machine Learning Resources: https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
React ❤️ for more free resources
📌 Supervised Learning:
🔹 Regression
∟ Linear Regression
∟ Ridge & Lasso Regression
∟ Polynomial Regression
🔹 Classification
∟ Logistic Regression
∟ K-Nearest Neighbors (KNN)
∟ Decision Tree
∟ Random Forest
∟ Support Vector Machine (SVM)
∟ Naive Bayes
∟ Gradient Boosting (XGBoost, LightGBM, CatBoost)
📌 Unsupervised Learning:
🔹 Clustering
∟ K-Means
∟ Hierarchical Clustering
∟ DBSCAN
🔹 Dimensionality Reduction
∟ PCA (Principal Component Analysis)
∟ t-SNE
∟ LDA (Linear Discriminant Analysis)
📌 Reinforcement Learning (Basics):
∟ Q-Learning
∟ Deep Q Network (DQN)
📌 Ensemble Techniques:
∟ Bagging (Random Forest)
∟ Boosting (XGBoost, AdaBoost, Gradient Boosting)
∟ Stacking
Don’t forget to learn model evaluation metrics: accuracy, precision, recall, F1-score, AUC-ROC, confusion matrix, etc.
Free Machine Learning Resources: https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
React ❤️ for more free resources
❤2
Forwarded from Artificial Intelligence
𝟰 𝗛𝗶𝗴𝗵-𝗜𝗺𝗽𝗮𝗰𝘁 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗟𝗮𝘂𝗻𝗰𝗵 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱😍
These globally recognized certifications from platforms like Google, IBM, Microsoft, and DataCamp are beginner-friendly, industry-aligned, and designed to make you job-ready in just a few weeks
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4kC18XE
These courses help you gain hands-on experience — exactly what top MNCs look for!✅️
These globally recognized certifications from platforms like Google, IBM, Microsoft, and DataCamp are beginner-friendly, industry-aligned, and designed to make you job-ready in just a few weeks
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4kC18XE
These courses help you gain hands-on experience — exactly what top MNCs look for!✅️
𝟭𝟬𝟬𝟬+ 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗯𝘆 𝗜𝗻𝗳𝗼𝘀𝘆𝘀 – 𝗟𝗲𝗮𝗿𝗻, 𝗚𝗿𝗼𝘄, 𝗦𝘂𝗰𝗰𝗲𝗲𝗱!😍
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Here’s your golden opportunity to unlock 1,000+ certified online courses across technology, business, communication, leadership, soft skills, and much more — all absolutely FREE on Infosys Springboard!🔥
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/43UcmQ7
Save this blog, sign up, and start your upskilling journey today!✅️
🚀 Looking to upgrade your skills without spending a rupee?💰
Here’s your golden opportunity to unlock 1,000+ certified online courses across technology, business, communication, leadership, soft skills, and much more — all absolutely FREE on Infosys Springboard!🔥
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/43UcmQ7
Save this blog, sign up, and start your upskilling journey today!✅️
Planning for Data Science or Data Engineering Interview.
Focus on SQL & Python first. Here are some important questions which you should know.
𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐒𝐐𝐋 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬
1- Find out nth Order/Salary from the tables.
2- Find the no of output records in each join from given Table 1 & Table 2
3- YOY,MOM Growth related questions.
4- Find out Employee ,Manager Hierarchy (Self join related question) or
Employees who are earning more than managers.
5- RANK,DENSERANK related questions
6- Some row level scanning medium to complex questions using CTE or recursive CTE, like (Missing no /Missing Item from the list etc.)
7- No of matches played by every team or Source to Destination flight combination using CROSS JOIN.
8-Use window functions to perform advanced analytical tasks, such as calculating moving averages or detecting outliers.
9- Implement logic to handle hierarchical data, such as finding all descendants of a given node in a tree structure.
10-Identify and remove duplicate records from a table.
𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐏𝐲𝐭𝐡𝐨𝐧 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬
1- Reversing a String using an Extended Slicing techniques.
2- Count Vowels from Given words .
3- Find the highest occurrences of each word from string and sort them in order.
4- Remove Duplicates from List.
5-Sort a List without using Sort keyword.
6-Find the pair of numbers in this list whose sum is n no.
7-Find the max and min no in the list without using inbuilt functions.
8-Calculate the Intersection of Two Lists without using Built-in Functions
9-Write Python code to make API requests to a public API (e.g., weather API) and process the JSON response.
10-Implement a function to fetch data from a database table, perform data manipulation, and update the database.
Join for more: https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
ENJOY LEARNING 👍👍
Focus on SQL & Python first. Here are some important questions which you should know.
𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐒𝐐𝐋 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬
1- Find out nth Order/Salary from the tables.
2- Find the no of output records in each join from given Table 1 & Table 2
3- YOY,MOM Growth related questions.
4- Find out Employee ,Manager Hierarchy (Self join related question) or
Employees who are earning more than managers.
5- RANK,DENSERANK related questions
6- Some row level scanning medium to complex questions using CTE or recursive CTE, like (Missing no /Missing Item from the list etc.)
7- No of matches played by every team or Source to Destination flight combination using CROSS JOIN.
8-Use window functions to perform advanced analytical tasks, such as calculating moving averages or detecting outliers.
9- Implement logic to handle hierarchical data, such as finding all descendants of a given node in a tree structure.
10-Identify and remove duplicate records from a table.
𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐏𝐲𝐭𝐡𝐨𝐧 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬
1- Reversing a String using an Extended Slicing techniques.
2- Count Vowels from Given words .
3- Find the highest occurrences of each word from string and sort them in order.
4- Remove Duplicates from List.
5-Sort a List without using Sort keyword.
6-Find the pair of numbers in this list whose sum is n no.
7-Find the max and min no in the list without using inbuilt functions.
8-Calculate the Intersection of Two Lists without using Built-in Functions
9-Write Python code to make API requests to a public API (e.g., weather API) and process the JSON response.
10-Implement a function to fetch data from a database table, perform data manipulation, and update the database.
Join for more: https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
ENJOY LEARNING 👍👍
❤2
𝗙𝗿𝗲𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲: 𝗧𝗵𝗲 𝗕𝗲𝘀𝘁 𝗦𝘁𝗮𝗿𝘁𝗶𝗻𝗴 𝗣𝗼𝗶𝗻𝘁 𝗳𝗼𝗿 𝗧𝗲𝗰𝗵 & 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀😍
🚀 Want to break into tech or data analytics but don’t know how to start?📌✨️
Python is the #1 most in-demand programming language, and Scaler’s free Python for Beginners course is a game-changer for absolute beginners📊✔️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/45TroYX
No coding background needed!✅️
🚀 Want to break into tech or data analytics but don’t know how to start?📌✨️
Python is the #1 most in-demand programming language, and Scaler’s free Python for Beginners course is a game-changer for absolute beginners📊✔️
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/45TroYX
No coding background needed!✅️
❤1
🧠 Technologies for Data Analysts!
📊 Data Manipulation & Analysis
▪️ Excel – Spreadsheet Data Analysis & Visualization
▪️ SQL – Structured Query Language for Data Extraction
▪️ Pandas (Python) – Data Analysis with DataFrames
▪️ NumPy (Python) – Numerical Computing for Large Datasets
▪️ Google Sheets – Online Collaboration for Data Analysis
📈 Data Visualization
▪️ Power BI – Business Intelligence & Dashboarding
▪️ Tableau – Interactive Data Visualization
▪️ Matplotlib (Python) – Plotting Graphs & Charts
▪️ Seaborn (Python) – Statistical Data Visualization
▪️ Google Data Studio – Free, Web-Based Visualization Tool
🔄 ETL (Extract, Transform, Load)
▪️ SQL Server Integration Services (SSIS) – Data Integration & ETL
▪️ Apache NiFi – Automating Data Flows
▪️ Talend – Data Integration for Cloud & On-premises
🧹 Data Cleaning & Preparation
▪️ OpenRefine – Clean & Transform Messy Data
▪️ Pandas Profiling (Python) – Data Profiling & Preprocessing
▪️ DataWrangler – Data Transformation Tool
📦 Data Storage & Databases
▪️ SQL – Relational Databases (MySQL, PostgreSQL, MS SQL)
▪️ NoSQL (MongoDB) – Flexible, Schema-less Data Storage
▪️ Google BigQuery – Scalable Cloud Data Warehousing
▪️ Redshift – Amazon’s Cloud Data Warehouse
⚙️ Data Automation
▪️ Alteryx – Data Blending & Advanced Analytics
▪️ Knime – Data Analytics & Reporting Automation
▪️ Zapier – Connect & Automate Data Workflows
📊 Advanced Analytics & Statistical Tools
▪️ R – Statistical Computing & Analysis
▪️ Python (SciPy, Statsmodels) – Statistical Modeling & Hypothesis Testing
▪️ SPSS – Statistical Software for Data Analysis
▪️ SAS – Advanced Analytics & Predictive Modeling
🌐 Collaboration & Reporting
▪️ Power BI Service – Online Sharing & Collaboration for Dashboards
▪️ Tableau Online – Cloud-Based Visualization & Sharing
▪️ Google Analytics – Web Traffic Data Insights
▪️ Trello / JIRA – Project & Task Management for Data Projects
Data-Driven Decisions with the Right Tools!
React ❤️ for more
📊 Data Manipulation & Analysis
▪️ Excel – Spreadsheet Data Analysis & Visualization
▪️ SQL – Structured Query Language for Data Extraction
▪️ Pandas (Python) – Data Analysis with DataFrames
▪️ NumPy (Python) – Numerical Computing for Large Datasets
▪️ Google Sheets – Online Collaboration for Data Analysis
📈 Data Visualization
▪️ Power BI – Business Intelligence & Dashboarding
▪️ Tableau – Interactive Data Visualization
▪️ Matplotlib (Python) – Plotting Graphs & Charts
▪️ Seaborn (Python) – Statistical Data Visualization
▪️ Google Data Studio – Free, Web-Based Visualization Tool
🔄 ETL (Extract, Transform, Load)
▪️ SQL Server Integration Services (SSIS) – Data Integration & ETL
▪️ Apache NiFi – Automating Data Flows
▪️ Talend – Data Integration for Cloud & On-premises
🧹 Data Cleaning & Preparation
▪️ OpenRefine – Clean & Transform Messy Data
▪️ Pandas Profiling (Python) – Data Profiling & Preprocessing
▪️ DataWrangler – Data Transformation Tool
📦 Data Storage & Databases
▪️ SQL – Relational Databases (MySQL, PostgreSQL, MS SQL)
▪️ NoSQL (MongoDB) – Flexible, Schema-less Data Storage
▪️ Google BigQuery – Scalable Cloud Data Warehousing
▪️ Redshift – Amazon’s Cloud Data Warehouse
⚙️ Data Automation
▪️ Alteryx – Data Blending & Advanced Analytics
▪️ Knime – Data Analytics & Reporting Automation
▪️ Zapier – Connect & Automate Data Workflows
📊 Advanced Analytics & Statistical Tools
▪️ R – Statistical Computing & Analysis
▪️ Python (SciPy, Statsmodels) – Statistical Modeling & Hypothesis Testing
▪️ SPSS – Statistical Software for Data Analysis
▪️ SAS – Advanced Analytics & Predictive Modeling
🌐 Collaboration & Reporting
▪️ Power BI Service – Online Sharing & Collaboration for Dashboards
▪️ Tableau Online – Cloud-Based Visualization & Sharing
▪️ Google Analytics – Web Traffic Data Insights
▪️ Trello / JIRA – Project & Task Management for Data Projects
Data-Driven Decisions with the Right Tools!
React ❤️ for more
❤1
Forwarded from Python Projects & Resources
𝟭𝟬𝟬% 𝗙𝗿𝗲𝗲 𝗧𝗲𝗰𝗵 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
From data science and AI to web development and cloud computing, checkout Top 5 Websites for Free Tech Certification Courses in 2025
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4e76jMX
Enroll For FREE & Get Certified!✅️
From data science and AI to web development and cloud computing, checkout Top 5 Websites for Free Tech Certification Courses in 2025
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4e76jMX
Enroll For FREE & Get Certified!✅️
❤1
Forwarded from Artificial Intelligence
𝟱 𝗙𝗿𝗲𝗲 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝗦𝗰𝗿𝗮𝘁𝗰𝗵 𝗶𝗻 𝟮𝟬𝟮𝟱😍
🎯 Want to break into Machine Learning but don’t know where to start?✨️
You don’t need a fancy degree or expensive course to begin your ML journey📊
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jRouYb
This list is for anyone ready to start learning ML from scratch✅️
🎯 Want to break into Machine Learning but don’t know where to start?✨️
You don’t need a fancy degree or expensive course to begin your ML journey📊
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jRouYb
This list is for anyone ready to start learning ML from scratch✅️
10 ChatGPT Prompts for Marketing You'll Actually Use:
1. Crafting a Brand Story
Prompt: "Develop an engaging brand story and persona for [company name] that authentically conveys our mission, values, and competitive differentiation."
2. Optimizing Landing Pages
Prompt: "Optimize the landing page for [product/service page name] to immediately convey value, build trust, and motivate visitors to convert."
3. Generating Content Ideas
Prompt: "Suggest 10 compelling content ideas related to [topic/keyword] that will engage our target audience and promote brand awareness."
4. Improving SEO
Prompt: "Provide 3 strategic recommendations to improve SEO and increase organic traffic for [company name/website]."
5. Building an Email Nurture Sequence
Prompt: "Design a personalized, multi-message email nurture sequence focused on educating and converting leads interested in [product/service]."
6. Crafting Value Propositions
Prompt: "Create strong, benefit-driven value propositions highlighting the top 3 advantages of using [product/service] over competitors."
7. Producing Engaging Social Media Content
Prompt: "Develop 5 creative social media post ideas for [platform] that will resonate with our audience and align with broader campaign goals."
8. Planning an Influencer Marketing Partnership
Prompt: "Outline an influencer partnership strategy for [company] to build brand awareness and trust among our target demographic."
9. Crafting Paid Ads
Prompt: "Write high-converting Facebook/Google ads for [product/service] tailored to our unique selling proposition and audience motivations."
10. Building an Email Marketing Campaign
Prompt: "Construct a complete email marketing campaign for the launch of [product/service], including series copy, visual assets, send schedule, and success metrics."
Share with your friends: https://news.1rj.ru/str/Learn_Startup
ENJOY LEARNING 👍👍
1. Crafting a Brand Story
Prompt: "Develop an engaging brand story and persona for [company name] that authentically conveys our mission, values, and competitive differentiation."
2. Optimizing Landing Pages
Prompt: "Optimize the landing page for [product/service page name] to immediately convey value, build trust, and motivate visitors to convert."
3. Generating Content Ideas
Prompt: "Suggest 10 compelling content ideas related to [topic/keyword] that will engage our target audience and promote brand awareness."
4. Improving SEO
Prompt: "Provide 3 strategic recommendations to improve SEO and increase organic traffic for [company name/website]."
5. Building an Email Nurture Sequence
Prompt: "Design a personalized, multi-message email nurture sequence focused on educating and converting leads interested in [product/service]."
6. Crafting Value Propositions
Prompt: "Create strong, benefit-driven value propositions highlighting the top 3 advantages of using [product/service] over competitors."
7. Producing Engaging Social Media Content
Prompt: "Develop 5 creative social media post ideas for [platform] that will resonate with our audience and align with broader campaign goals."
8. Planning an Influencer Marketing Partnership
Prompt: "Outline an influencer partnership strategy for [company] to build brand awareness and trust among our target demographic."
9. Crafting Paid Ads
Prompt: "Write high-converting Facebook/Google ads for [product/service] tailored to our unique selling proposition and audience motivations."
10. Building an Email Marketing Campaign
Prompt: "Construct a complete email marketing campaign for the launch of [product/service], including series copy, visual assets, send schedule, and success metrics."
Share with your friends: https://news.1rj.ru/str/Learn_Startup
ENJOY LEARNING 👍👍
❤1
Forwarded from Artificial Intelligence
𝗙𝗿𝗲𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝗳𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀: 𝟱 𝗦𝘁𝗲𝗽𝘀 𝘁𝗼 𝗦𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗝𝗼𝘂𝗿𝗻𝗲𝘆😍
Want to break into Data Science but don’t know where to begin?👨💻📌
You’re not alone. Data Science is one of the most in-demand fields today, but with so many courses online, it can feel overwhelming.💫📲
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3SU5FJ0
No prior experience needed!✅️
Want to break into Data Science but don’t know where to begin?👨💻📌
You’re not alone. Data Science is one of the most in-demand fields today, but with so many courses online, it can feel overwhelming.💫📲
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3SU5FJ0
No prior experience needed!✅️
❤2