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| Complete Python - https://bit.ly/3AbYClH | |
| Efficient Code Optimization techniques for Python : https://bit.ly/3tAbNsW | |
| System Design Important terms - https://bit.ly/3Om9d3H | |
| ML System Design Case Studies Series : https://bit.ly/3i5EDiH | |
| System Design Case Studies | |
| Design Messenger App : https://bit.ly/3DoAAXi | |
| Design Instagram : https://bit.ly/3BFeHlh | |
| Design Twitter : https://bit.ly/3qIG9Ih | |
| Design Uber : https://bit.ly/3fyvnlT | |
| Design TikTok : https://bit.ly/3UUlKxP | |
| Design Netflix : https://bit.ly/3GrAUG1 | |
| Design Reddit : https://bit.ly/3OgGJrL | |
| Design Facebook’s Newsfeed : https://bit.ly/3RldaW7 | |
| Design Amazon Prime Video : https://bit.ly/3hVpWP4 | |
| Design Web Crawler : https://bit.ly/3DPZTBB | |
| Design API Rate Limiter : https://bit.ly/3BIVuh7 | |
| Design Dropbox : https://bit.ly/3SnhncU | |
| Design Youtube : https://bit.ly/3dFyvvy | |
| Design Tinder : https://bit.ly/3Mcyj3X | |
| Design Yelp : https://bit.ly/3E7IgO5 | |
| Design Whatspp : https://bit.ly/3M2GOhP | |
| Design URL shortener : https://bit.ly/3xP078x | |
| All solved case studies : https://bit.ly/3dCG1rc | |
| Most Popular System Design Questions : https://bit.ly/3E9oH7K | |
| Complete System Design Basics Series : https://bit.ly/3rG1cfr | |
| Things you must know in System Design - | |
| System design basics : https://bit.ly/3SuUR0Y | |
| Horizontal and vertical scaling : https://bit.ly/3slq5xh | |
| Load balancing and Message queues: https://bit.ly/3sp0FP4 | |
| High level design and low level design, Consistent Hashing, Monolithic and Microservices architecture : https://bit.ly/3DnEfEm | |
| Caching, Indexing, Proxies : https://bit.ly/3SvyVDc | |
| Networking, How Browsers work, Content Network Delivery ( CDN) : https://bit.ly/3TOHQRb | |
| Database Sharding, CAP Theorem, Database schema Design : https://bit.ly/3CZtfLN | |
| Concurrency, API, Components + OOP + Abstraction : https://bit.ly/3sqQrhj | |
| Estimation and Planning, Performance : https://bit.ly/3z9dSPN | |
| Map Reduce, Patterns and Microservices : https://bit.ly/3zcsfmv | |
| SQL vs NoSQL and Cloud : https://bit.ly/3z8Aa49 | |
| Most Popular System Design Questions : https://bit.ly/3Dp40Ux | |
| Complete Data Structures Series - https://bit.ly/3hFWNax | |
| Topics that are important in Data Structures and Algorithms ( based on ROI) : https://bit.ly/3EAud36 | |
| Complexity Analysis DSA : https://bit.ly/3fSMChP | |
| Curated Question List 1 : https://bit.ly/3ggSDFq | |
| Curated Question List 2 : https://bit.ly/3VrUqrj | |
| Advanced SQL | |
| SQL Basics and Kick start of Advanced SQL Series : https://bit.ly/3fC3Y2Q | |
| SQL Basics, Query Structure, Built In functions Conditions : https://bit.ly/3U7dFoI | |
| Most Important Commands, Joins and Filters : https://bit.ly/3zI6Im7 | |
| Set Theory Operations, Stored Procedures and CASE statements in SQL : https://bit.ly/3Nxj9qz | |
| Wildcards, Aggregation and Sequences in SQL : https://bit.ly/3t11QVn | |
| Subqueries, Group by, order by and Having clauses in SQL and Analytical Functions : https://bit.ly/3Un3eNx | |
| Window Functions, Grouping Sets and Constraints in SQL : https://bit.ly/3DF4Dbv | |
| BigQuery Basics, SELECT, FROM, WHERE and Date and Extract in BigQuery : https://bit.ly/3UixI3z | |
| Common Expression Table, UNNEST Clause, SQL vs NoSQL Databases : https://bit.ly/3WI74Tr | |
| Triggers, Pivot and Cursors in SQL : https://bit.ly/3fOUWzm | |
| Views, Indexes and Auto Increment in SQL : https://bit.ly/3zVOg9q | |
| Query optimizations, Performance tuning in SQL : https://bit.ly/3EeUfZL | |
| Introduction to MySQL, PostgreSQL and Mongo DB, Comparison between MySQL and PostgreSQL and Mongo | |
| DB, Introduction to SQL and NoSQL Databases : https://bit.ly/3DXpHKO | |
| MySQL in Depth : https://bit.ly/3EoDRWN | |
| PostgreSQL in Depth: https://bit.ly/3UjStw5 | |
| Complete Data Analytics Series | |
| Data Analytics basics and kickstart of Data analytics with projects series : https://bit.ly/3EPNQEE | |
| Business Understanding — Data Driven Decision Making, Descriptive Analysis, Predictive Analysis, Diagnostic Analysis, Prescriptive Analysis : https://bit.ly/3XADi3J | |
| Data Analytics Ecosystem — Data Life Cycle, Data Analysis complete process ( most important things) : https://bit.ly/3i534fS | |
| Probability, Conditional Probability, Binomial Distribution, Probability Density Function, Sampling Distribution : https://bit.ly/3VlZEUB | |
| Statistics : https://bit.ly/3gxf0GR | |
| Basic and Advanced SQL : https://bit.ly/3ErMPRS | |
| Data Collection, Data Cleaning: https://bit.ly/3grJ4ns | |
| Pandas and Numpy : https://bit.ly/3XqN73O | |
| Data Manipulation : https://bit.ly/3gnrXDl | |
| Data Visualization — Part 1 : https://bit.ly/3GDt6Bg | |
| Data Visualization — Part 2 : https://bit.ly/3GxduiJ | |
| Data Visualization — Part 3 : https://bit.ly/3XmVaig | |
| Tableau — Part 1 : https://bit.ly/3XlnEsB | |
| Tableau — Part 2 : https://bit.ly/3EuPwlo | |
| Tableau - Part 3 : https://bit.ly/3UYiJMK | |
| Data Analytics Project : https://bit.ly/3Xo4F0y | |
| Data Analysis Project 3 ; https://bit.ly/3VdzlQK | |
| Data Analysis Project 4 : https://bit.ly/3ihLDJp | |
| Data Analysis Project 5 : https://bit.ly/3ON6ArC | |
| Data Analysis Project 6 : https://bit.ly/3ENsKW8 | |
| Quick Round Up : 30 Days of Data Analytics with Projects Series : https://bit.ly/3UfkVyd | |
| 60 Days of Data Science and Machine Learning with Projects Series | |
| Day 1 : Python Basics with Code Implementation — Part 1 - https://bit.ly/3hGyhWR | |
| Day 2: Python Basics with Code Implementation — Part 2 - https://bit.ly/3fVpKPi | |
| Day 3: Python Basics with Code Implementation — Part 3 - https://bit.ly/3O4sQNj | |
| Day 4: Intermediate Python with Code Implementation — Part 1 - https://bit.ly/3hya1WF | |
| Day 5: Intermediate Python with Code Implementation — Part 2 - https://bit.ly/3UwgWhO | |
| Day 6 : Advanced Python with Code Implementation - https://bit.ly/3G6V3Bg | |
| Day 7– Statistics for Data Science and Machine Learning with Code Implementation - https://bit.ly/3UDr1JJ | |
| Day 8 — Maths for Data Science and Machine learning - https://bit.ly/3hFzq0M | |
| Day 9 : Pandas Part 1 with Code Implementation - https://bit.ly/3g1D3O1 | |
| Day 10: Pandas Part 2 with Code Implementation - https://bit.ly/3WYLN85 | |
| Day 11: Complete Numpy - https://bit.ly/3XE863y | |
| Day 12: Data pre-processing Part 1 - https://bit.ly/3GT3i4o | |
| Day 13 : Data Pre-processing Part 2 - https://bit.ly/3AMwcz6 | |
| Day 14: Regression Part 1 - https://bit.ly/3XAF30B | |
| Day 15 : Regression Part 2 - https://bit.ly/3EM8qo2 | |
| Day 16 : Quick Recap - https://bit.ly/3Vfh5qf | |
| Complete 60 Days of Data Science and Machine Learning with Projects Series : https://bit.ly/3ikpIB2 | |
| Data Science and ML important Series- | |
| Data Science and ML Series with projects - https://bit.ly/3X0SIh6 | |
| Data Engineering Series with projects Series - https://bit.ly/3hEQeom | |
| MLOps Series - https://bit.ly/3O1TEO9 | |
| Deep Learning Series with Project Series - https://bit.ly/3UVjWUO | |
| Data Analytics Series with Project Series - https://bit.ly/3DVYQP6 | |
| NLP Series with Project Series - https://bit.ly/3UxUFQJ | |
| Projects - https://bit.ly/3fZEwEB | |
| 210 Machine Learning Projects ( with source code) : https://bit.ly/3Ejlgds |
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