๐ Roadmap to Become a Software Architect ๐จโ๐ป
๐ Programming & Development Fundamentals
โโ๐ Master One or More Programming Languages (Java, C#, Python, etc.)
โโโ๐ Learn Data Structures & Algorithms
โโโโ๐ Understand Design Patterns & Best Practices
๐ Software Design & Architecture Principles
โโ๐ Learn SOLID Principles & Clean Code Practices
โโโ๐ Master Object-Oriented & Functional Design
โโโโ๐ Understand Domain-Driven Design (DDD)
๐ System Design & Scalability
โโ๐ Learn Microservices & Monolithic Architectures
โโโ๐ Understand Load Balancing, Caching & CDNs
โโโโ๐ Dive into CAP Theorem & Event-Driven Architecture
๐ Databases & Storage Solutions
โโ๐ Master SQL & NoSQL Databases
โโโ๐ Learn Database Scaling & Sharding Strategies
โโโโ๐ Understand Data Warehousing & ETL Processes
๐ Cloud Computing & DevOps
โโ๐ Learn Cloud Platforms (AWS, Azure, GCP)
โโโ๐ Understand CI/CD & Infrastructure as Code (IaC)
โโโโ๐ Work with Containers & Kubernetes
๐ Security & Performance Optimization
โโ๐ Master Secure Coding Practices
โโโ๐ Learn Authentication & Authorization (OAuth, JWT)
โโโโ๐ Optimize System Performance & Reliability
๐ Project Management & Communication
โโ๐ Work with Agile & Scrum Methodologies
โโโ๐ Collaborate with Cross-Functional Teams
โโโโ๐ Improve Technical Documentation & Decision-Making
๐ Real-World Experience & Leadership
โโ๐ Design & Build Scalable Software Systems
โโโ๐ Contribute to Open-Source & Architectural Discussions
โโโโ๐ Mentor Developers & Lead Engineering Teams
๐ Interview Preparation & Career Growth
โโ๐ Solve System Design Challenges
โโโ๐ Master Architectural Case Studies
โโโโ๐ Network & Apply for Software Architect Roles
โ Get Hired as a Software Architect
React "โค๏ธ" for More ๐จโ๐ป
๐ Programming & Development Fundamentals
โโ๐ Master One or More Programming Languages (Java, C#, Python, etc.)
โโโ๐ Learn Data Structures & Algorithms
โโโโ๐ Understand Design Patterns & Best Practices
๐ Software Design & Architecture Principles
โโ๐ Learn SOLID Principles & Clean Code Practices
โโโ๐ Master Object-Oriented & Functional Design
โโโโ๐ Understand Domain-Driven Design (DDD)
๐ System Design & Scalability
โโ๐ Learn Microservices & Monolithic Architectures
โโโ๐ Understand Load Balancing, Caching & CDNs
โโโโ๐ Dive into CAP Theorem & Event-Driven Architecture
๐ Databases & Storage Solutions
โโ๐ Master SQL & NoSQL Databases
โโโ๐ Learn Database Scaling & Sharding Strategies
โโโโ๐ Understand Data Warehousing & ETL Processes
๐ Cloud Computing & DevOps
โโ๐ Learn Cloud Platforms (AWS, Azure, GCP)
โโโ๐ Understand CI/CD & Infrastructure as Code (IaC)
โโโโ๐ Work with Containers & Kubernetes
๐ Security & Performance Optimization
โโ๐ Master Secure Coding Practices
โโโ๐ Learn Authentication & Authorization (OAuth, JWT)
โโโโ๐ Optimize System Performance & Reliability
๐ Project Management & Communication
โโ๐ Work with Agile & Scrum Methodologies
โโโ๐ Collaborate with Cross-Functional Teams
โโโโ๐ Improve Technical Documentation & Decision-Making
๐ Real-World Experience & Leadership
โโ๐ Design & Build Scalable Software Systems
โโโ๐ Contribute to Open-Source & Architectural Discussions
โโโโ๐ Mentor Developers & Lead Engineering Teams
๐ Interview Preparation & Career Growth
โโ๐ Solve System Design Challenges
โโโ๐ Master Architectural Case Studies
โโโโ๐ Network & Apply for Software Architect Roles
โ Get Hired as a Software Architect
React "โค๏ธ" for More ๐จโ๐ป
โค6
Is DSA important for interviews?
Yes, DSA (Data Structures and Algorithms) is very important for interviews, especially for software engineering roles.
I often get asked, What do I need to start learning DSA?
Here's the roadmap for getting started with Data Structures and Algorithms (DSA):
๐ฃ๐ต๐ฎ๐๐ฒ ๐ญ: ๐๐๐ป๐ฑ๐ฎ๐บ๐ฒ๐ป๐๐ฎ๐น๐
1. Introduction to DSA
- Understand what DSA is and why it's important.
- Overview of complexity analysis (Big O notation).
2. Complexity Analysis
- Time Complexity
- Space Complexity
3. Basic Data Structures
- Arrays
- Linked Lists
- Stacks
- Queues
4. Basic Algorithms
- Sorting (Bubble Sort, Selection Sort, Insertion Sort)
- Searching (Linear Search, Binary Search)
5. OOP (Object-Oriented Programming)
๐ฃ๐ต๐ฎ๐๐ฒ ๐ฎ: ๐๐ป๐๐ฒ๐ฟ๐บ๐ฒ๐ฑ๐ถ๐ฎ๐๐ฒ ๐๐ผ๐ป๐ฐ๐ฒ๐ฝ๐๐
1. Two Pointers Technique
- Introduction and basic usage
- Problems: Pair Sum, Triplets, Sorted Array Intersection etc..
2. Sliding Window Technique
- Introduction and basic usage
- Problems: Maximum Sum Subarray, Longest Substring with K Distinct Characters, Minimum Window Substring etc..
3. Line Sweep Algorithms
- Introduction and basic usage
- Problems: Meeting Rooms II, Skyline Problem
4. Recursion
5. Backtracking
6. Sorting Algorithms
- Merge Sort
- Quick Sort
7. Data Structures
- Hash Tables
- Trees (Binary Trees, Binary Search Trees)
- Heaps
๐ฃ๐ต๐ฎ๐๐ฒ ๐ฏ: ๐๐ฑ๐๐ฎ๐ป๐ฐ๐ฒ๐ฑ ๐๐ผ๐ป๐ฐ๐ฒ๐ฝ๐๐
1. Graph Algorithms
- Graph Representation (Adjacency List, Adjacency Matrix)
- BFS (Breadth-First Search)
- DFS (Depth-First Search)
- Shortest Path Algorithms (Dijkstra's, Bellman-Ford)
- Minimum Spanning Tree (Kruskal's, Prim's)
2. Dynamic Programming
- Basic Problems (Fibonacci, Knapsack etc..)
- Advanced Problems (Longest Increasing Subsea mice, Matrix Chain Subsequence, Multiplication etc..)
3. Advanced Trees
- AVL Trees
- Red-Black Trees
- Segment Trees
- Trie
๐ฃ๐ต๐ฎ๐๐ฒ ๐ฐ: ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฒ ๐ฎ๐ป๐ฑ ๐๐ฝ๐ฝ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป
1. Competitive Programming Platforms: LeetCode, Codeforces, HackerRank, CodeChef Solve problems daily
2. Mock Interviews
- Participate in mock interviews to simulate real interview scenarios.
- DSA interviews assess your ability to break down complex problems into smaller steps.
Best DSA RESOURCES: https://topmate.io/coding/886874
All the best ๐๐
Yes, DSA (Data Structures and Algorithms) is very important for interviews, especially for software engineering roles.
I often get asked, What do I need to start learning DSA?
Here's the roadmap for getting started with Data Structures and Algorithms (DSA):
๐ฃ๐ต๐ฎ๐๐ฒ ๐ญ: ๐๐๐ป๐ฑ๐ฎ๐บ๐ฒ๐ป๐๐ฎ๐น๐
1. Introduction to DSA
- Understand what DSA is and why it's important.
- Overview of complexity analysis (Big O notation).
2. Complexity Analysis
- Time Complexity
- Space Complexity
3. Basic Data Structures
- Arrays
- Linked Lists
- Stacks
- Queues
4. Basic Algorithms
- Sorting (Bubble Sort, Selection Sort, Insertion Sort)
- Searching (Linear Search, Binary Search)
5. OOP (Object-Oriented Programming)
๐ฃ๐ต๐ฎ๐๐ฒ ๐ฎ: ๐๐ป๐๐ฒ๐ฟ๐บ๐ฒ๐ฑ๐ถ๐ฎ๐๐ฒ ๐๐ผ๐ป๐ฐ๐ฒ๐ฝ๐๐
1. Two Pointers Technique
- Introduction and basic usage
- Problems: Pair Sum, Triplets, Sorted Array Intersection etc..
2. Sliding Window Technique
- Introduction and basic usage
- Problems: Maximum Sum Subarray, Longest Substring with K Distinct Characters, Minimum Window Substring etc..
3. Line Sweep Algorithms
- Introduction and basic usage
- Problems: Meeting Rooms II, Skyline Problem
4. Recursion
5. Backtracking
6. Sorting Algorithms
- Merge Sort
- Quick Sort
7. Data Structures
- Hash Tables
- Trees (Binary Trees, Binary Search Trees)
- Heaps
๐ฃ๐ต๐ฎ๐๐ฒ ๐ฏ: ๐๐ฑ๐๐ฎ๐ป๐ฐ๐ฒ๐ฑ ๐๐ผ๐ป๐ฐ๐ฒ๐ฝ๐๐
1. Graph Algorithms
- Graph Representation (Adjacency List, Adjacency Matrix)
- BFS (Breadth-First Search)
- DFS (Depth-First Search)
- Shortest Path Algorithms (Dijkstra's, Bellman-Ford)
- Minimum Spanning Tree (Kruskal's, Prim's)
2. Dynamic Programming
- Basic Problems (Fibonacci, Knapsack etc..)
- Advanced Problems (Longest Increasing Subsea mice, Matrix Chain Subsequence, Multiplication etc..)
3. Advanced Trees
- AVL Trees
- Red-Black Trees
- Segment Trees
- Trie
๐ฃ๐ต๐ฎ๐๐ฒ ๐ฐ: ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฒ ๐ฎ๐ป๐ฑ ๐๐ฝ๐ฝ๐น๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป
1. Competitive Programming Platforms: LeetCode, Codeforces, HackerRank, CodeChef Solve problems daily
2. Mock Interviews
- Participate in mock interviews to simulate real interview scenarios.
- DSA interviews assess your ability to break down complex problems into smaller steps.
Best DSA RESOURCES: https://topmate.io/coding/886874
All the best ๐๐
โค3
15 Best Project Ideas for Data Science : ๐
๐ Beginner Level:
1. Exploratory Data Analysis (EDA) on Titanic Dataset
2. Netflix Movies/TV Shows Data Analysis
3. COVID-19 Data Visualization Dashboard
4. Sales Data Analysis (CSV/Excel)
5. Student Performance Analysis
๐ Intermediate Level:
6. Sentiment Analysis on Tweets
7. Customer Segmentation using K-Means
8. Credit Score Classification
9. House Price Prediction
10. Market Basket Analysis (Apriori Algorithm)
๐ Advanced Level:
11. Time Series Forecasting (Stock/Weather Data)
12. Fake News Detection using NLP
13. Image Classification with CNN
14. Resume Parser using NLP
15. Customer Churn Prediction
Credits: https://whatsapp.com/channel/0029VaxbzNFCxoAmYgiGTL3Z
๐ Beginner Level:
1. Exploratory Data Analysis (EDA) on Titanic Dataset
2. Netflix Movies/TV Shows Data Analysis
3. COVID-19 Data Visualization Dashboard
4. Sales Data Analysis (CSV/Excel)
5. Student Performance Analysis
๐ Intermediate Level:
6. Sentiment Analysis on Tweets
7. Customer Segmentation using K-Means
8. Credit Score Classification
9. House Price Prediction
10. Market Basket Analysis (Apriori Algorithm)
๐ Advanced Level:
11. Time Series Forecasting (Stock/Weather Data)
12. Fake News Detection using NLP
13. Image Classification with CNN
14. Resume Parser using NLP
15. Customer Churn Prediction
Credits: https://whatsapp.com/channel/0029VaxbzNFCxoAmYgiGTL3Z
โค3
Evolution of Programming Languages๐ฅ๏ธ
๐ฐProgramming Languages๐ฐ
1. JAVA:
More than 85% android apps are created using JAVA. It is also used in big (big means big) websites. It is a portable programming language which makes it easy to use on multi platforms.
2. Java Script:
Its a browser/client side language. It makes the webpage more interactive. Like for example when you enter a comment on Facebook then the whole page doesnโt load., just that comment is added. This kind of functionalities are added into webpages with JavaScript. Javascript brought about a revolution in webapps.
3. Assembly Language:
The most low level programming language because its nothing more than machine code written in human readable form. Its hard to write and you need to have deep understanding of computers to use this because you are really talking with it. Its very fast in terms of execution.
4. C:
Its a low level language too thatโs why its fast. It is used to program operating system, computer games and software which need to be fast. It is hard to write but gives you more control of your computer.
5. C++ :
Its C with more features and those features make it more complex.
6. Perl:
A language which was developed to create small scripts easily . Programming in Perl is easy and efficient but the programs are comparatively slower.
7. Python:
Perl was made better and named Python. Its easy, efficient and flexible. You can automate things with python in a go.
8. Ruby:
Its similar to Python but it became popular when they created a web application development framework named Rails which lets developers to write their web application conveniently.
9. HTML and CSS:
HTML and CSS are languages not programming languages because they are just used display things on a website. They do not do any actual processing. HTML is used to create the basic structure of the website and then CSS is used to make it look good.
10. PHP:
It is used to process things in a website. It is server-sided language as it doesnโt get executed in user browser, but on the server. It can be used to generate dynamic webpage content.
11. SQL:
This is not exactly a programming language. It is used to interact with databases.
โก๏ธ This list could be long because there are too many programming language but I introduced you to the popular ones.
โWhich Language Should Be Your First Programming Language?
โ Suggestions..
1. Getting Started
Learn HTML & CSS. They are easy and will give you a basic idea of how programming works. You will be able to create your own webpages. After HTML you can go with PHP and SQL, so will have a good grasp over web designing and then you can go with python, C or Java. I assure you that PHP, HTML and SQL will be definitely useful in your hacking journey.
2. Understanding Computer And Programming Better
C..The classic C! C is one of the most foundational languages. If you learn C, you will have a deep knowledge of Computers and you will have a greater understanding of programming too, that will make you a better programmer. You will spend most of your time compiling though (just trying to crack a joke).
3. Too Eager To Create Programs?
Python! Python is very easy to learn and you can create a program which does something instead of programming calculators. Well Python doesnโt start you from the basics but with if you know python, you will be able to understand other languages better. One benefit of python is that you donโt need to compile the script to run it, just write one and run it.
Join for more: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
๐ฐProgramming Languages๐ฐ
1. JAVA:
More than 85% android apps are created using JAVA. It is also used in big (big means big) websites. It is a portable programming language which makes it easy to use on multi platforms.
2. Java Script:
Its a browser/client side language. It makes the webpage more interactive. Like for example when you enter a comment on Facebook then the whole page doesnโt load., just that comment is added. This kind of functionalities are added into webpages with JavaScript. Javascript brought about a revolution in webapps.
3. Assembly Language:
The most low level programming language because its nothing more than machine code written in human readable form. Its hard to write and you need to have deep understanding of computers to use this because you are really talking with it. Its very fast in terms of execution.
4. C:
Its a low level language too thatโs why its fast. It is used to program operating system, computer games and software which need to be fast. It is hard to write but gives you more control of your computer.
5. C++ :
Its C with more features and those features make it more complex.
6. Perl:
A language which was developed to create small scripts easily . Programming in Perl is easy and efficient but the programs are comparatively slower.
7. Python:
Perl was made better and named Python. Its easy, efficient and flexible. You can automate things with python in a go.
8. Ruby:
Its similar to Python but it became popular when they created a web application development framework named Rails which lets developers to write their web application conveniently.
9. HTML and CSS:
HTML and CSS are languages not programming languages because they are just used display things on a website. They do not do any actual processing. HTML is used to create the basic structure of the website and then CSS is used to make it look good.
10. PHP:
It is used to process things in a website. It is server-sided language as it doesnโt get executed in user browser, but on the server. It can be used to generate dynamic webpage content.
11. SQL:
This is not exactly a programming language. It is used to interact with databases.
โก๏ธ This list could be long because there are too many programming language but I introduced you to the popular ones.
โWhich Language Should Be Your First Programming Language?
โ Suggestions..
1. Getting Started
Learn HTML & CSS. They are easy and will give you a basic idea of how programming works. You will be able to create your own webpages. After HTML you can go with PHP and SQL, so will have a good grasp over web designing and then you can go with python, C or Java. I assure you that PHP, HTML and SQL will be definitely useful in your hacking journey.
2. Understanding Computer And Programming Better
C..The classic C! C is one of the most foundational languages. If you learn C, you will have a deep knowledge of Computers and you will have a greater understanding of programming too, that will make you a better programmer. You will spend most of your time compiling though (just trying to crack a joke).
3. Too Eager To Create Programs?
Python! Python is very easy to learn and you can create a program which does something instead of programming calculators. Well Python doesnโt start you from the basics but with if you know python, you will be able to understand other languages better. One benefit of python is that you donโt need to compile the script to run it, just write one and run it.
Join for more: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
โค1
๐ Data Science Project Ideas to Practice & Master Your Skills โ
๐ข Beginner Level
โข Titanic Survival Prediction (Logistic Regression)
โข House Price Prediction (Linear Regression)
โข Exploratory Data Analysis on IPL or Netflix Dataset
โข Customer Segmentation (K-Means Clustering)
โข Weather Data Visualization
๐ก Intermediate Level
โข Sentiment Analysis on Tweets
โข Credit Card Fraud Detection
โข Time Series Forecasting (Stock or Sales Data)
โข Image Classification using CNN (Fashion MNIST)
โข Recommendation System for Movies/Products
๐ด Advanced Level
โข End-to-End Machine Learning Pipeline with Deployment
โข NLP Chatbot using Transformers
โข Real-Time Dashboard with Streamlit + ML
โข Anomaly Detection in Network Traffic
โข A/B Testing & Business Decision Modeling
๐ฌ Double Tap โค๏ธ for more! ๐ค๐
๐ข Beginner Level
โข Titanic Survival Prediction (Logistic Regression)
โข House Price Prediction (Linear Regression)
โข Exploratory Data Analysis on IPL or Netflix Dataset
โข Customer Segmentation (K-Means Clustering)
โข Weather Data Visualization
๐ก Intermediate Level
โข Sentiment Analysis on Tweets
โข Credit Card Fraud Detection
โข Time Series Forecasting (Stock or Sales Data)
โข Image Classification using CNN (Fashion MNIST)
โข Recommendation System for Movies/Products
๐ด Advanced Level
โข End-to-End Machine Learning Pipeline with Deployment
โข NLP Chatbot using Transformers
โข Real-Time Dashboard with Streamlit + ML
โข Anomaly Detection in Network Traffic
โข A/B Testing & Business Decision Modeling
๐ฌ Double Tap โค๏ธ for more! ๐ค๐
โค2
Let's explore some of the best open source projects by language.
1โฃ Best Python Open Source Projects
๐ฃโโ TensorFlow
๐ฃโโ Matplotlib
๐ฃโโ Flask
๐ฃโโ Django
๐ฃโโ PyTorch
2โฃ Best JavaScript Open Source Projects
๐ฃโโ React
๐ฃโโ Node.JS
๐ฃโโ jQuery
3โฃ Best C++ Open Source Projects
๐ฃโโ Serenity
๐ฃโโ MongoDB
๐ฃโโ SonarSource
๐ฃโโ OBS Studio
๐ฃโโ Electron
4โฃ Best Java Open Source Projects
๐ฃโโ Mockito
๐ฃโโ Realm
๐ฃโโ Jenkins
๐ฃโโ Guava
๐ฃโโ Moshi
It's time to start developing your own open source projects. Explore the projects
1โฃ Best Python Open Source Projects
๐ฃโโ TensorFlow
๐ฃโโ Matplotlib
๐ฃโโ Flask
๐ฃโโ Django
๐ฃโโ PyTorch
2โฃ Best JavaScript Open Source Projects
๐ฃโโ React
๐ฃโโ Node.JS
๐ฃโโ jQuery
3โฃ Best C++ Open Source Projects
๐ฃโโ Serenity
๐ฃโโ MongoDB
๐ฃโโ SonarSource
๐ฃโโ OBS Studio
๐ฃโโ Electron
4โฃ Best Java Open Source Projects
๐ฃโโ Mockito
๐ฃโโ Realm
๐ฃโโ Jenkins
๐ฃโโ Guava
๐ฃโโ Moshi
It's time to start developing your own open source projects. Explore the projects
โค2
๐ฅ Top SQL Projects for Data Analytics ๐
If you're preparing for a Data Analyst role or looking to level up your SQL skills, working on real-world projects is the best way to learn!
Here are some must-do SQL projects to strengthen your portfolio. ๐
๐ข Beginner-Friendly SQL Projects (Great for Learning Basics)
โ Employee Database Management โ Build and query HR data ๐
โ Library Book Tracking โ Create a database for book loans and returns
โ Student Grading System โ Analyze student performance data
โ Retail Point-of-Sale System โ Work with sales and transactions ๐ฐ
โ Hotel Booking System โ Manage customer bookings and check-ins ๐จ
๐ก Intermediate SQL Projects (For Stronger Querying & Analysis)
โก E-commerce Order Management โ Analyze order trends & customer data ๐
โก Sales Performance Analysis โ Work with revenue, profit margins & KPIs ๐
โก Inventory Control System โ Optimize stock tracking ๐ฆ
โก Real Estate Listings โ Manage and analyze property data ๐ก
โก Movie Rating System โ Analyze user reviews & trends ๐ฌ
๐ต Advanced SQL Projects (For Business-Level Analytics)
๐น Social Media Analytics โ Track user engagement & content trends
๐น Insurance Claim Management โ Fraud detection & risk assessment
๐น Customer Feedback Analysis โ Perform sentiment analysis on reviews โญ
๐น Freelance Job Platform โ Match freelancers with project opportunities
๐น Pharmacy Inventory System โ Optimize stock levels & prescriptions
๐ด Expert-Level SQL Projects (For Data-Driven Decision Making)
๐ฅ Music Streaming Analysis โ Study user behavior & song trends ๐ถ
๐ฅ Healthcare Prescription Tracking โ Identify patterns in medicine usage
๐ฅ Employee Shift Scheduling โ Optimize workforce efficiency โณ
๐ฅ Warehouse Stock Control โ Manage supply chain data efficiently
๐ฅ Online Auction System โ Analyze bidding patterns & sales performance ๐๏ธ
๐ Pro Tip: If you're applying for Data Analyst roles, pick 3-4 projects, clean the data, and create interactive dashboards using Power BI/Tableau to showcase insights!
React with โฅ๏ธ if you want detailed explanation of each project
Share with credits: ๐ https://t.iss.one/sqlspecialist
Hope it helps :)
If you're preparing for a Data Analyst role or looking to level up your SQL skills, working on real-world projects is the best way to learn!
Here are some must-do SQL projects to strengthen your portfolio. ๐
๐ข Beginner-Friendly SQL Projects (Great for Learning Basics)
โ Employee Database Management โ Build and query HR data ๐
โ Library Book Tracking โ Create a database for book loans and returns
โ Student Grading System โ Analyze student performance data
โ Retail Point-of-Sale System โ Work with sales and transactions ๐ฐ
โ Hotel Booking System โ Manage customer bookings and check-ins ๐จ
๐ก Intermediate SQL Projects (For Stronger Querying & Analysis)
โก E-commerce Order Management โ Analyze order trends & customer data ๐
โก Sales Performance Analysis โ Work with revenue, profit margins & KPIs ๐
โก Inventory Control System โ Optimize stock tracking ๐ฆ
โก Real Estate Listings โ Manage and analyze property data ๐ก
โก Movie Rating System โ Analyze user reviews & trends ๐ฌ
๐ต Advanced SQL Projects (For Business-Level Analytics)
๐น Social Media Analytics โ Track user engagement & content trends
๐น Insurance Claim Management โ Fraud detection & risk assessment
๐น Customer Feedback Analysis โ Perform sentiment analysis on reviews โญ
๐น Freelance Job Platform โ Match freelancers with project opportunities
๐น Pharmacy Inventory System โ Optimize stock levels & prescriptions
๐ด Expert-Level SQL Projects (For Data-Driven Decision Making)
๐ฅ Music Streaming Analysis โ Study user behavior & song trends ๐ถ
๐ฅ Healthcare Prescription Tracking โ Identify patterns in medicine usage
๐ฅ Employee Shift Scheduling โ Optimize workforce efficiency โณ
๐ฅ Warehouse Stock Control โ Manage supply chain data efficiently
๐ฅ Online Auction System โ Analyze bidding patterns & sales performance ๐๏ธ
๐ Pro Tip: If you're applying for Data Analyst roles, pick 3-4 projects, clean the data, and create interactive dashboards using Power BI/Tableau to showcase insights!
React with โฅ๏ธ if you want detailed explanation of each project
Share with credits: ๐ https://t.iss.one/sqlspecialist
Hope it helps :)
โค7
๐ฎ Data Analyst Vs Data Engineer Vs Data Scientist ๐ฎ
Skills required to become data analyst
๐ Advanced Excel, Oracle/SQL
๐ Python/R
Skills required to become data engineer
๐ Python/ Java.
๐ SQL, NoSQL technologies like Cassandra or MongoDB
๐ Big data technologies like Hadoop, Hive/ Pig/ Spark
Skills required to become data Scientist
๐ In-depth knowledge of tools like R/ Python/ SAS.
๐ Well versed in various machine learning algorithms like scikit-learn, karas and tensorflow
๐ SQL and NoSQL
Bonus skill required: Data Visualization (PowerBI/ Tableau) & Statistics
Skills required to become data analyst
๐ Advanced Excel, Oracle/SQL
๐ Python/R
Skills required to become data engineer
๐ Python/ Java.
๐ SQL, NoSQL technologies like Cassandra or MongoDB
๐ Big data technologies like Hadoop, Hive/ Pig/ Spark
Skills required to become data Scientist
๐ In-depth knowledge of tools like R/ Python/ SAS.
๐ Well versed in various machine learning algorithms like scikit-learn, karas and tensorflow
๐ SQL and NoSQL
Bonus skill required: Data Visualization (PowerBI/ Tableau) & Statistics
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