Forwarded from Python Projects & Resources
๐ฑ ๐๐ฟ๐ฒ๐ฒ ๐ ๐๐ง ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐ฌ๐ผ๐ ๐๐ฎ๐ป ๐ง๐ฎ๐ธ๐ฒ ๐ข๐ป๐น๐ถ๐ป๐ฒ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฑ๐
๐No MIT Admission? No Problem โ Learn from MIT for Free!๐ฅ
MIT is known for world-class educationโbut you donโt need to walk its halls to access its knowledge๐๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4jBNtP2
These courses offer industry-relevant skills & completion certificates at no costโ ๏ธ
๐No MIT Admission? No Problem โ Learn from MIT for Free!๐ฅ
MIT is known for world-class educationโbut you donโt need to walk its halls to access its knowledge๐๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4jBNtP2
These courses offer industry-relevant skills & completion certificates at no costโ ๏ธ
โค2
Forwarded from Python Projects & Resources
๐ ๐ฎ๐๐๐ฒ๐ฟ ๐ฃ๐ฟ๐ผ๐บ๐ฝ๐ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด ๐ณ๐ผ๐ฟ ๐๐ฟ๐ฒ๐ฒ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฑ!๐
Want to communicate with AI like a pro? ๐ค
Whether youโre a data analyst, AI developer, content creator, or student, this is the must-have skill of 2025โจ๏ธ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/456lMuf
Save this now & unlock your AI potential!โก
Want to communicate with AI like a pro? ๐ค
Whether youโre a data analyst, AI developer, content creator, or student, this is the must-have skill of 2025โจ๏ธ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/456lMuf
Save this now & unlock your AI potential!โก
Forwarded from Python Projects & Resources
๐ฑ ๐๐ฅ๐๐ ๐ ๐๐ง ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐๐ผ ๐๐ฒ๐ฎ๐ฟ๐ป ๐ง๐ฒ๐ฐ๐ต, ๐๐ & ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ๐
Dreaming of an MIT education without the tuition fees? ๐ฏ
These 5 FREE courses from MIT will help you master the fundamentals of programming, AI, machine learning, and data scienceโall from the comfort of your home! ๐โจ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/45cvR95
Your gateway to a smarter careerโ ๏ธ
Dreaming of an MIT education without the tuition fees? ๐ฏ
These 5 FREE courses from MIT will help you master the fundamentals of programming, AI, machine learning, and data scienceโall from the comfort of your home! ๐โจ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/45cvR95
Your gateway to a smarter careerโ ๏ธ
Tips to become a Data Engineer ๐๐
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 โ 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 โ 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.
โค1
Forwarded from Artificial Intelligence
๐ฑ ๐ฃ๐ผ๐๐ฒ๐ฟ๐ณ๐๐น ๐๐ถ๐๐๐๐ฏ ๐ฅ๐ฒ๐ฝ๐ผ๐๐ถ๐๐ผ๐ฟ๐ถ๐ฒ๐ ๐๐ผ ๐ ๐ฎ๐๐๐ฒ๐ฟ ๐ฃ๐๐๐ต๐ผ๐ป ๐ณ๐ผ๐ฟ ๐๐ฟ๐ฒ๐ฒ๐
Looking to Master Python for Free?โจ๏ธ
These 5 GitHub repositories are all you need to level up โ from beginner to advanced! ๐ป
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3FG7DcW
๐ Save this post & share it with a Python learner!
Looking to Master Python for Free?โจ๏ธ
These 5 GitHub repositories are all you need to level up โ from beginner to advanced! ๐ป
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3FG7DcW
๐ Save this post & share it with a Python learner!
โค2
Forwarded from Artificial Intelligence
๐ฒ ๐๐ฅ๐๐ ๐ข๐ป๐น๐ถ๐ป๐ฒ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป๐ ๐ง๐ผ ๐๐ต๐ฎ๐ป๐ด๐ฒ ๐ฌ๐ผ๐๐ฟ ๐๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ ๐๐ป ๐ฎ๐ฌ๐ฎ๐ฑ ๐
๐ฏ Want to switch careers or upgrade your skills โ 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. ๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4e1I17a
๐ฅ Start learning today and build the skills top companies want!โ ๏ธ
๐ฏ Want to switch careers or upgrade your skills โ 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. ๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4e1I17a
๐ฅ Start learning today and build the skills top companies want!โ ๏ธ
โค1
Forwarded from Artificial Intelligence
๐๐ฒ๐ฎ๐ฟ๐ป ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐ณ๐ผ๐ฟ ๐๐ฅ๐๐ ๐๐ถ๐๐ต ๐๐ฎ๐ฟ๐๐ฎ๐ฟ๐ฑ ๐จ๐ป๐ถ๐๐ฒ๐ฟ๐๐ถ๐๐๐
๐ฏ Want to break into Data Science without spending a single rupee?๐ฐ
Harvard University is offering a goldmine of free courses that make top-tier education accessible to anyone, anywhere๐จโ๐ปโจ๏ธ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3HxOgTW
These courses are designed by Ivy League experts and are trusted by thousands globallyโ ๏ธ
๐ฏ Want to break into Data Science without spending a single rupee?๐ฐ
Harvard University is offering a goldmine of free courses that make top-tier education accessible to anyone, anywhere๐จโ๐ปโจ๏ธ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3HxOgTW
These courses are designed by Ivy League experts and are trusted by thousands globallyโ ๏ธ
โค1
Amazon Interview Process for Data Scientist position
๐Round 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).
๐ ๐ฅ๐ผ๐๐ป๐ฑ ๐ฎ- ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐ฟ๐ฒ๐ฎ๐ฑ๐๐ต:
In this round the interviewer tested my knowledge on different kinds of topics.
๐๐ฅ๐ผ๐๐ป๐ฑ ๐ฏ- ๐๐ฒ๐ฝ๐๐ต ๐ฅ๐ผ๐๐ป๐ฑ:
In this round the interviewers grilled deeper into 1-2 topics. I was asked questions around:
Standard ML tech, Linear Equation, Techniques, etc.
๐๐ฅ๐ผ๐๐ป๐ฑ ๐ฐ- ๐๐ผ๐ฑ๐ถ๐ป๐ด ๐ฅ๐ผ๐๐ป๐ฑ-
This was a Python coding round, which I cleared successfully.
๐๐ฅ๐ผ๐๐ป๐ฑ ๐ฑ- This was ๐๐ถ๐ฟ๐ถ๐ป๐ด ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐ฟ where my fitment for the team got assessed.
๐๐๐ฎ๐๐ ๐ฅ๐ผ๐๐ป๐ฑ- ๐๐ฎ๐ฟ ๐ฅ๐ฎ๐ถ๐๐ฒ๐ฟ- Very important round, I was asked heavily around Leadership principles & Employee dignity questions.
So, here are my Tips if youโre targeting any Data Science role:
-> Never make up stuff & donโt 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 ๐๐
๐Round 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).
๐ ๐ฅ๐ผ๐๐ป๐ฑ ๐ฎ- ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐ฟ๐ฒ๐ฎ๐ฑ๐๐ต:
In this round the interviewer tested my knowledge on different kinds of topics.
๐๐ฅ๐ผ๐๐ป๐ฑ ๐ฏ- ๐๐ฒ๐ฝ๐๐ต ๐ฅ๐ผ๐๐ป๐ฑ:
In this round the interviewers grilled deeper into 1-2 topics. I was asked questions around:
Standard ML tech, Linear Equation, Techniques, etc.
๐๐ฅ๐ผ๐๐ป๐ฑ ๐ฐ- ๐๐ผ๐ฑ๐ถ๐ป๐ด ๐ฅ๐ผ๐๐ป๐ฑ-
This was a Python coding round, which I cleared successfully.
๐๐ฅ๐ผ๐๐ป๐ฑ ๐ฑ- This was ๐๐ถ๐ฟ๐ถ๐ป๐ด ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐ฟ where my fitment for the team got assessed.
๐๐๐ฎ๐๐ ๐ฅ๐ผ๐๐ป๐ฑ- ๐๐ฎ๐ฟ ๐ฅ๐ฎ๐ถ๐๐ฒ๐ฟ- Very important round, I was asked heavily around Leadership principles & Employee dignity questions.
So, here are my Tips if youโre targeting any Data Science role:
-> Never make up stuff & donโt 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 ๐๐
โค3
Forwarded from Artificial Intelligence
๐๐๐ ๐
๐๐๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐จ๐ฎ๐ซ๐ฌ๐๐ฌ๐
๐ 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!๐
๐๐ข๐ง๐ค ๐:-
https://bit.ly/4iXOmmb
Enroll For FREE & Get Certified ๐
๐ 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!๐
๐๐ข๐ง๐ค ๐:-
https://bit.ly/4iXOmmb
Enroll For FREE & Get Certified ๐
โค2
Machine Learning Algorithms every data scientist should know:
๐ Supervised Learning:
๐น Regression
โ Linear Regression
โ Ridge & Lasso Regression
โ Polynomial Regression
๐น Classification
โ Logistic Regression
โ K-Nearest Neighbors (KNN)
โ Decision Tree
โ Random Forest
โ Support Vector Machine (SVM)
โ Naive Bayes
โ Gradient Boosting (XGBoost, LightGBM, CatBoost)
๐ Unsupervised Learning:
๐น Clustering
โ K-Means
โ Hierarchical Clustering
โ DBSCAN
๐น Dimensionality Reduction
โ PCA (Principal Component Analysis)
โ t-SNE
โ LDA (Linear Discriminant Analysis)
๐ Reinforcement Learning (Basics):
โ Q-Learning
โ Deep Q Network (DQN)
๐ Ensemble Techniques:
โ Bagging (Random Forest)
โ Boosting (XGBoost, AdaBoost, Gradient Boosting)
โ Stacking
Donโt 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 โค๏ธ for more free resources
๐ Supervised Learning:
๐น Regression
โ Linear Regression
โ Ridge & Lasso Regression
โ Polynomial Regression
๐น Classification
โ Logistic Regression
โ K-Nearest Neighbors (KNN)
โ Decision Tree
โ Random Forest
โ Support Vector Machine (SVM)
โ Naive Bayes
โ Gradient Boosting (XGBoost, LightGBM, CatBoost)
๐ Unsupervised Learning:
๐น Clustering
โ K-Means
โ Hierarchical Clustering
โ DBSCAN
๐น Dimensionality Reduction
โ PCA (Principal Component Analysis)
โ t-SNE
โ LDA (Linear Discriminant Analysis)
๐ Reinforcement Learning (Basics):
โ Q-Learning
โ Deep Q Network (DQN)
๐ Ensemble Techniques:
โ Bagging (Random Forest)
โ Boosting (XGBoost, AdaBoost, Gradient Boosting)
โ Stacking
Donโt 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 โค๏ธ for more free resources
โค2
Forwarded from Artificial Intelligence
๐ฐ ๐๐ถ๐ด๐ต-๐๐บ๐ฝ๐ฎ๐ฐ๐ ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป๐ ๐๐ผ ๐๐ฎ๐๐ป๐ฐ๐ต ๐ฌ๐ผ๐๐ฟ ๐๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฑ๐
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
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4kC18XE
These courses help you gain hands-on experience โ exactly what top MNCs look for!โ ๏ธ
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
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4kC18XE
These courses help you gain hands-on experience โ exactly what top MNCs look for!โ ๏ธ
๐ญ๐ฌ๐ฌ๐ฌ+ ๐๐ฟ๐ฒ๐ฒ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฒ๐ฑ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐ฏ๐ ๐๐ป๐ณ๐ผ๐๐๐ โ ๐๐ฒ๐ฎ๐ฟ๐ป, ๐๐ฟ๐ผ๐, ๐ฆ๐๐ฐ๐ฐ๐ฒ๐ฒ๐ฑ!๐
๐ Looking to upgrade your skills without spending a rupee?๐ฐ
Hereโs your golden opportunity to unlock 1,000+ certified online courses across technology, business, communication, leadership, soft skills, and much more โ all absolutely FREE on Infosys Springboard!๐ฅ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/43UcmQ7
Save this blog, sign up, and start your upskilling journey today!โ ๏ธ
๐ Looking to upgrade your skills without spending a rupee?๐ฐ
Hereโs your golden opportunity to unlock 1,000+ certified online courses across technology, business, communication, leadership, soft skills, and much more โ all absolutely FREE on Infosys Springboard!๐ฅ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/43UcmQ7
Save this blog, sign up, and start your upskilling journey today!โ ๏ธ
Planning for Data Science or Data Engineering Interview.
Focus on SQL & Python first. Here are some important questions which you should know.
๐๐ฆ๐ฉ๐จ๐ซ๐ญ๐๐ง๐ญ ๐๐๐ ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง๐ฌ
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.
๐๐ฆ๐ฉ๐จ๐ซ๐ญ๐๐ง๐ญ ๐๐ฒ๐ญ๐ก๐จ๐ง ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง๐ฌ
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 ๐๐
Focus on SQL & Python first. Here are some important questions which you should know.
๐๐ฆ๐ฉ๐จ๐ซ๐ญ๐๐ง๐ญ ๐๐๐ ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง๐ฌ
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.
๐๐ฆ๐ฉ๐จ๐ซ๐ญ๐๐ง๐ญ ๐๐ฒ๐ญ๐ก๐จ๐ง ๐ช๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง๐ฌ
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 ๐๐
โค2
๐๐ฟ๐ฒ๐ฒ ๐ฃ๐๐๐ต๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ: ๐ง๐ต๐ฒ ๐๐ฒ๐๐ ๐ฆ๐๐ฎ๐ฟ๐๐ถ๐ป๐ด ๐ฃ๐ผ๐ถ๐ป๐ ๐ณ๐ผ๐ฟ ๐ง๐ฒ๐ฐ๐ต & ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐๐ฒ๐ด๐ถ๐ป๐ป๐ฒ๐ฟ๐๐
๐ Want to break into tech or data analytics but donโt know how to start?๐โจ๏ธ
Python is the #1 most in-demand programming language, and Scalerโs free Python for Beginners course is a game-changer for absolute beginners๐โ๏ธ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/45TroYX
No coding background needed!โ ๏ธ
๐ Want to break into tech or data analytics but donโt know how to start?๐โจ๏ธ
Python is the #1 most in-demand programming language, and Scalerโs free Python for Beginners course is a game-changer for absolute beginners๐โ๏ธ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/45TroYX
No coding background needed!โ ๏ธ
โค1
๐ง Technologies for Data Analysts!
๐ Data Manipulation & Analysis
โช๏ธ Excel โ Spreadsheet Data Analysis & Visualization
โช๏ธ SQL โ Structured Query Language for Data Extraction
โช๏ธ Pandas (Python) โ Data Analysis with DataFrames
โช๏ธ NumPy (Python) โ Numerical Computing for Large Datasets
โช๏ธ Google Sheets โ Online Collaboration for Data Analysis
๐ Data Visualization
โช๏ธ Power BI โ Business Intelligence & Dashboarding
โช๏ธ Tableau โ Interactive Data Visualization
โช๏ธ Matplotlib (Python) โ Plotting Graphs & Charts
โช๏ธ Seaborn (Python) โ Statistical Data Visualization
โช๏ธ Google Data Studio โ Free, Web-Based Visualization Tool
๐ ETL (Extract, Transform, Load)
โช๏ธ SQL Server Integration Services (SSIS) โ Data Integration & ETL
โช๏ธ Apache NiFi โ Automating Data Flows
โช๏ธ Talend โ Data Integration for Cloud & On-premises
๐งน Data Cleaning & Preparation
โช๏ธ OpenRefine โ Clean & Transform Messy Data
โช๏ธ Pandas Profiling (Python) โ Data Profiling & Preprocessing
โช๏ธ DataWrangler โ Data Transformation Tool
๐ฆ Data Storage & Databases
โช๏ธ SQL โ Relational Databases (MySQL, PostgreSQL, MS SQL)
โช๏ธ NoSQL (MongoDB) โ Flexible, Schema-less Data Storage
โช๏ธ Google BigQuery โ Scalable Cloud Data Warehousing
โช๏ธ Redshift โ Amazonโs Cloud Data Warehouse
โ๏ธ Data Automation
โช๏ธ Alteryx โ Data Blending & Advanced Analytics
โช๏ธ Knime โ Data Analytics & Reporting Automation
โช๏ธ Zapier โ Connect & Automate Data Workflows
๐ Advanced Analytics & Statistical Tools
โช๏ธ R โ Statistical Computing & Analysis
โช๏ธ Python (SciPy, Statsmodels) โ Statistical Modeling & Hypothesis Testing
โช๏ธ SPSS โ Statistical Software for Data Analysis
โช๏ธ SAS โ Advanced Analytics & Predictive Modeling
๐ Collaboration & Reporting
โช๏ธ Power BI Service โ Online Sharing & Collaboration for Dashboards
โช๏ธ Tableau Online โ Cloud-Based Visualization & Sharing
โช๏ธ Google Analytics โ Web Traffic Data Insights
โช๏ธ Trello / JIRA โ Project & Task Management for Data Projects
Data-Driven Decisions with the Right Tools!
React โค๏ธ for more
๐ Data Manipulation & Analysis
โช๏ธ Excel โ Spreadsheet Data Analysis & Visualization
โช๏ธ SQL โ Structured Query Language for Data Extraction
โช๏ธ Pandas (Python) โ Data Analysis with DataFrames
โช๏ธ NumPy (Python) โ Numerical Computing for Large Datasets
โช๏ธ Google Sheets โ Online Collaboration for Data Analysis
๐ Data Visualization
โช๏ธ Power BI โ Business Intelligence & Dashboarding
โช๏ธ Tableau โ Interactive Data Visualization
โช๏ธ Matplotlib (Python) โ Plotting Graphs & Charts
โช๏ธ Seaborn (Python) โ Statistical Data Visualization
โช๏ธ Google Data Studio โ Free, Web-Based Visualization Tool
๐ ETL (Extract, Transform, Load)
โช๏ธ SQL Server Integration Services (SSIS) โ Data Integration & ETL
โช๏ธ Apache NiFi โ Automating Data Flows
โช๏ธ Talend โ Data Integration for Cloud & On-premises
๐งน Data Cleaning & Preparation
โช๏ธ OpenRefine โ Clean & Transform Messy Data
โช๏ธ Pandas Profiling (Python) โ Data Profiling & Preprocessing
โช๏ธ DataWrangler โ Data Transformation Tool
๐ฆ Data Storage & Databases
โช๏ธ SQL โ Relational Databases (MySQL, PostgreSQL, MS SQL)
โช๏ธ NoSQL (MongoDB) โ Flexible, Schema-less Data Storage
โช๏ธ Google BigQuery โ Scalable Cloud Data Warehousing
โช๏ธ Redshift โ Amazonโs Cloud Data Warehouse
โ๏ธ Data Automation
โช๏ธ Alteryx โ Data Blending & Advanced Analytics
โช๏ธ Knime โ Data Analytics & Reporting Automation
โช๏ธ Zapier โ Connect & Automate Data Workflows
๐ Advanced Analytics & Statistical Tools
โช๏ธ R โ Statistical Computing & Analysis
โช๏ธ Python (SciPy, Statsmodels) โ Statistical Modeling & Hypothesis Testing
โช๏ธ SPSS โ Statistical Software for Data Analysis
โช๏ธ SAS โ Advanced Analytics & Predictive Modeling
๐ Collaboration & Reporting
โช๏ธ Power BI Service โ Online Sharing & Collaboration for Dashboards
โช๏ธ Tableau Online โ Cloud-Based Visualization & Sharing
โช๏ธ Google Analytics โ Web Traffic Data Insights
โช๏ธ Trello / JIRA โ Project & Task Management for Data Projects
Data-Driven Decisions with the Right Tools!
React โค๏ธ for more
โค1
Forwarded from Python Projects & Resources
๐ญ๐ฌ๐ฌ% ๐๐ฟ๐ฒ๐ฒ ๐ง๐ฒ๐ฐ๐ต ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐๐
From data science and AI to web development and cloud computing, checkout Top 5 Websites for Free Tech Certification Courses in 2025
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4e76jMX
Enroll For FREE & Get Certified!โ ๏ธ
From data science and AI to web development and cloud computing, checkout Top 5 Websites for Free Tech Certification Courses in 2025
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4e76jMX
Enroll For FREE & Get Certified!โ ๏ธ
โค1
Forwarded from Artificial Intelligence
๐ฑ ๐๐ฟ๐ฒ๐ฒ ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐ ๐๐ผ ๐๐ฒ๐ฎ๐ฟ๐ป ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ณ๐ฟ๐ผ๐บ ๐ฆ๐ฐ๐ฟ๐ฎ๐๐ฐ๐ต ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฑ๐
๐ฏ Want to break into Machine Learning but donโt know where to start?โจ๏ธ
You donโt need a fancy degree or expensive course to begin your ML journey๐
๐๐ข๐ง๐ค๐:-
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This list is for anyone ready to start learning ML from scratchโ ๏ธ
๐ฏ Want to break into Machine Learning but donโt know where to start?โจ๏ธ
You donโt need a fancy degree or expensive course to begin your ML journey๐
๐๐ข๐ง๐ค๐:-
https://pdlink.in/4jRouYb
This list is for anyone ready to start learning ML from scratchโ ๏ธ
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://t.me/Learn_Startup
ENJOY LEARNING ๐๐
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://t.me/Learn_Startup
ENJOY LEARNING ๐๐
โค1
Forwarded from Artificial Intelligence
๐๐ฟ๐ฒ๐ฒ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐ฅ๐ผ๐ฎ๐ฑ๐บ๐ฎ๐ฝ ๐ณ๐ผ๐ฟ ๐๐ฒ๐ด๐ถ๐ป๐ป๐ฒ๐ฟ๐: ๐ฑ ๐ฆ๐๐ฒ๐ฝ๐ ๐๐ผ ๐ฆ๐๐ฎ๐ฟ๐ ๐ฌ๐ผ๐๐ฟ ๐๐ผ๐๐ฟ๐ป๐ฒ๐๐
Want to break into Data Science but donโt know where to begin?๐จโ๐ป๐
Youโre not alone. Data Science is one of the most in-demand fields today, but with so many courses online, it can feel overwhelming.๐ซ๐ฒ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3SU5FJ0
No prior experience needed!โ ๏ธ
Want to break into Data Science but donโt know where to begin?๐จโ๐ป๐
Youโre not alone. Data Science is one of the most in-demand fields today, but with so many courses online, it can feel overwhelming.๐ซ๐ฒ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3SU5FJ0
No prior experience needed!โ ๏ธ
โค2