[Monday Bytes] Updated Cheat Sheet for Tech Interviews - How to Prepare Efficiently ( and Fast)
All the necessary resources ....
Hi all,
Tech Hiring is back. In this newsletter we will cover the resources you need to prepare for your tech interviews —
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Ignito Youtube Channel
System Design Github - Link
Projects Github - Link
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Master System Design
More system design case studies coming soon! Follow - Link
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
Github for System Design Interviews with Case Studies
Master Data Structures and Algorithms
Topics that are important in Data Structures and Algorithms : https://bit.ly/3EAud36
Complexity Analysis : https://bit.ly/3fSMChP
Backtracking : https://bit.ly/3TazwL3
Sliding Window : https://bit.ly/3ywJezP
Greedy Technique : https://bit.ly/3rMgb7m
Two pointer Technique : https://bit.ly/3yvVqRc
1- D Dynamic Programming : https://bit.ly/3COFU5s
Arrays : https://bit.ly/3MqxuEK
Linked List : https://bit.ly/3rIwBxI
Strings : https://bit.ly/3MmIH96
Stack : https://bit.ly/3ToikSB
Queues : https://bit.ly/3yHSssX
Hash Table/Hashing : https://bit.ly/3ew8oYm
Binary Search : https://bit.ly/3yK9R4l
Trees : https://bit.ly/3g1og5u
Heap/Priority Queue : https://bit.ly/3rZb9EI
Divide and Conquer Technique : https://bit.ly/3esYWF3
Recursion : https://bit.ly/3yvPbwN
Curated Question List 1 : https://bit.ly/3ggSDFq
Curated Question List 2 : https://bit.ly/3VrUqrj
Build Projects and master the most important topics
Projects
Courses you must take ( with rating)
Complete Data Engineering:
Rating - 10/10
Link to the course : https://bit.ly/3A9oVs5
Learn the art of designing effective data models that ensure data integrity and efficient storage.
Construct data warehouses and data lakes to enable centralized and organized data storage.
Automate data pipelines to streamline data processing and ensure timely and accurate data availability.
Gain expertise in handling and working with massive datasets efficiently.
Become a proficient data engineer equipped with in-demand skills for building robust data infrastructures.
Complete Machine Learning Engineer:
Rating - 10/10
Link to the course : https://bit.ly/3Tir8ub
Acquire advanced machine learning techniques and algorithms to solve complex problems.
Develop skills in packaging and deploying machine learning models to production environments.
Master the art of model evaluation and selection to ensure optimal performance.
Learn to implement cutting-edge algorithms and architectures for superior machine learning results.
Equip yourself with the skills required to excel as a machine learning engineer.
Complete ML DevOPs
Rating - 9/10
Link to the course : https://bit.ly/3OPPUS6
Data Pipeline Expertise: Learn to construct and manage efficient data pipelines, ensuring seamless flow from collection to analysis.
Experimental Proficiency: Develop skills to design controlled experiments, collect and analyze data, vital for evidence-based decision-making.
Personalized Recommendations: Build recommendation systems using cutting-edge techniques, providing tailored experiences for users.
Cloud-Ready Deployment: Acquire knowledge to deploy solutions on cloud platforms, ensuring scalability, accessibility, and reliability.
Industry-Aligned Projects: Engage with expert-curated projects to gain hands-on experience in data pipelines, experimental design, recommendation systems, and cloud deployment.
Complete Intro to Machine Learning with PyTorch
Rating - 8/10
Link to the course - https://bit.ly/3QApnJU
Fundamentals of ML Techniques: Master core machine learning concepts covering data manipulation, unsupervised learning, and supervised algorithms.
Data Manipulation Proficiency: Acquire skills to effectively preprocess and manipulate data, a crucial step for accurate model training.
Unsupervised Insights: Explore unsupervised learning methods, unlocking hidden patterns and structures within data sets.
Supervised Mastery: Gain expertise in supervised algorithms, enabling prediction and classification tasks with guided learning.
PyTorch Empowerment: Harness the power of PyTorch to implement and experiment with machine learning algorithms in a dynamic framework.
Complete Data Architect
Rating - 9/10
Link to the course : https://bit.ly/3qon0z5
Data Architecture Mastery: Learn to design data models, integration frameworks, and storage systems for efficient and scalable data management.
Performance Optimization: Gain insights into optimizing data infrastructure performance through indexing, partitioning, and efficient query strategies.
Data Governance Empowerment: Develop a strong understanding of data governance principles, ensuring data security, compliance, and quality throughout the system.
Strategic Data Planning: Acquire the expertise to strategize, design, and execute robust enterprise data infrastructure solutions.
Blueprinting Data Systems: Master the art of creating comprehensive blueprints for data management systems that align with organizational needs.
Complete Data Scientist:
Rating - 10/10
Link to the course : https://bit.ly/3wiIo8u
End-to-End Pipeline Mastery: Develop expertise in constructing data pipelines from collection to deployment, ensuring efficient data flow and quality maintenance.
Experimental Proficiency: Learn to design controlled experiments, gather data, and analyze results, a critical skill for validating hypotheses and driving decisions.
Personalized Recommendations: Acquire the ability to build recommendation systems using collaborative and content-based techniques, enhancing user experiences.
Cloud-Ready Solutions: Understand cloud deployment intricacies, enabling you to package and deploy solutions for scalability and accessibility on cloud platforms.
Real-World Project Insight: Gain hands-on experience with industry-vetted projects to master data pipelines, experimental design, recommendation systems, and cloud deployment.
Complete Natural Language Processing:
Link to the course : https://bit.ly/3T7J8qY
Build models that analyze and interpret human language, enabling sentiment analysis and machine translation.
Gain hands-on experience working with real data, developing practical NLP applications.
Uncover hidden patterns and extract valuable insights from textual data.
Understand the complexities of language and apply NLP techniques to solve challenging problems.
Unlock the power of language through the application of natural language processing.
Complete Deep Learning:
Rating - 10/10
Link to the course : https://bit.ly/3T5ppIo
Master the implementation of Neural Networks using the powerful PyTorch framework.
Dive deep into the world of deep learning and understand its applications in various domains.
Gain hands-on experience in developing solutions for image recognition, natural language understanding, and more.
Learn about different architectures and techniques for building robust deep learning models.
Become proficient in utilizing deep learning to tackle complex problems and drive innovation.
Complete Data Product Manager:
Rating - 8/10
Link to the course : https://bit.ly/3QGUtwi
Leverage the power of data to build products that deliver personalized and impactful experiences.
Lead the development of data-driven products that position businesses ahead of the competition.
Gain a deep understanding of user behavior and preferences through data analysis.
Develop strategies to optimize product performance and drive business growth.
Become a data product manager who can harness data's potential to create successful products.
Complete Self Driving Car Engineer
Rating - 9/10
Link to the course : https://bit.ly/449gzNY
Cutting-Edge Robotics Fusion: Dive into the convergence of robotics, machine learning, and engineering, the heart of self-driving car innovation.
Advanced Skillset Development: Acquire the same skills utilized by leading tech companies in building self-driving car systems.
Transformational Technology Insights: Explore the revolutionary potential of self-driving cars, driving breakthroughs in transportation and automation.
Robust Machine Learning Integration: Integrate machine learning techniques to enable vehicles to perceive and react in complex real-world scenarios.
Industry-Leading Expertise: Gain proficiency in the techniques employed by top self-driving car teams, preparing you for the forefront of autonomous vehicle development.
Projects Videos —
All the projects, data structures, SQL, algorithms, system design, Data Science and ML , Data Analytics, Data Engineering, , Implemented Data Science and ML projects, Implemented Data Engineering Projects, Implemented Deep Learning Projects, Implemented Machine Learning Ops Projects, Implemented Time Series Analysis and Forecasting Projects, Implemented Applied Machine Learning Projects, Implemented Tensorflow and Keras Projects, Implemented PyTorch Projects, Implemented Scikit Learn Projects, Implemented Big Data Projects, Implemented Cloud Machine Learning Projects, Implemented Neural Networks Projects, Implemented OpenCV Projects,Complete ML Research Papers Summarized, Implemented Data Analytics projects, Implemented Data Visualization Projects, Implemented Data Mining Projects, Implemented Natural Leaning Processing Projects, MLOps and Deep Learning, Applied Machine Learning with Projects Series, PyTorch with Projects Series, Tensorflow and Keras with Projects Series, Scikit Learn Series with Projects, Time Series Analysis and Forecasting with Projects Series, ML System Design Case Studies Series videos will be published on our youtube channel ( just launched).
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