YouTube Playlists
YouTube playlists road map for computer science students.
Computer Science Playlists
Computer Science Playlists road map for computer science students, which including the following main topics:
Computer Science (main topics)
1. Introduction to Computer Science Playlists 4 Entities
2. Programming Languages and Object Oriented Playlists 2 Entities
3. Mathematics and Discrete Mathematics Playlists 3 Entities
4. Calculus and Algebra and Differential Equations Playlists 3 Entities
5. Probability and Statistics Playlists 2 Entities
6. Electronics and Logic Design Playlists 2 Entities
7. Data Structures and Algorithms Analysis and Design Playlists 2 Entities
8. Operating Systems and Shell Scripting Playlists 2 Entities
9. Theory of Computations and Computer Architecture Playlists 2 Entities
10. Compiler Design and Parallel Computing and Distributed Systems Playlists 3 Entities
SKILLS YOU WILL GAIN:
computer science, discrete mathematics, mathematics, calculus, algebra, differential equations, probability, statistics, python programming, c++ programming, c programming, c++ object oriented programming (oop), python object oriented programming (oop), object oriented programming (oop), logic design, data structures, algorithms, advanced data Structures, advanced algorithms, theory of computations, compiler design, operating systems, concepts of programming languages, computer architecture, computer organization, parallel computing, parallel processing, electronics, distributed systems, shell scripting
Software Engineering Playlists
Software Engineering Playlists road map for computer science students, which including the following main topics:
Software Engineering (main topics)
1. Java Programming Language and Object Orinted Playlists
2. Data Communication and Computer Networks Playlists
3. Software Engineering Playlists
4. Web Development Playlists
5. Mobile Development Playlists
6. Game Development Playlists
7. User Interface and User Experience (UI/UX) Playlists
8. Continuous Delivery and DevOps Playlists
9. Cloud Computing Playlists
10. Systems Project Management Playlists
SKILLS YOU WILL GAIN:
software engineering, object oriented design, object oriented analysis, service oriented architecture, analysis of systems, design of systems, quality control, desktop applications, mobile applications, web applications, game applications, cross platform development, continuous delivery, devops, cloud computing, project management, android, ios, product development, google app engine (gae), unity, parallel computing, parallel processing, shell script, web service, kubernetes, game design, virtual machine (vm), virtual reality (vr), php programming, agile user stories, software quality, microservices, user interface (ui), jenkins, github, command line interface, version control systems, java programming, python programming, c# programming, swift programming, objective-c, google cloud platform, google compute engine, human computer interaction, reactive programming, distributed systems, software architecture, agile software development, javascript programming, user experience (ux), responsive web design
Artificial Intelligence Playlists
Artificial Intelligence Playlists road map for computer science students, which including the following main topics:
Artificial Intelligence (main topics)
1. Calculus and Algebra Playlists
2. Probability and Statistics Playlists
3. Data Analysis Playlists
4. Artificial Intelligence Playlists
5. Digital Signal Processing and Data Compression Playlists
6. Machine Learning and Data Mining Playlists
7. Computer Graphics Playlists
8. Computer Vision and Image Processing Playlists
9. Neural Networks and Deep Learning Playlists
10. Natural Language Processing Playlists
11. Reinforcement Learning Playlists
SKILLS YOU WILL GAIN:
artificial intelligence, data analysis, excel, data management, data processing, data mining, text mining, natural language processing, natural language toolkit (nltk), time series, machine learning, advanced machine learning, multi-task learning, reinforcement learning, markov chain monte carlo (mcmc), data vizualisation, advanced data vizualisation, matlab programming, python programming, python libraries, digital signals processing, pattern recognition, image processing, computer graphics, deep learning, speech processing, dimensionality reduction, computer vision, cloud computing, tensorflow serving, keras, pytorch
Data Science Playlists
Data Science Playlists road map for computer science students, which including the following main topics:
Data Science (main topics)
1. Calculus and Algebra Playlists
2. Probability and Statistics Playlists
3. Data Analysis Playlists
4. Machine Learning and Data Mining Playlists
5. Business Intelligence Playlists
6. Data Science Playlists
7. Database Management Systems and Data Warehousing Playlists
8. Files Organization and Data Storage Playlists
9. Database Design Playlists
10. Big Data Playlists
11. Data Engineering Playlists
SKILLS YOU WILL GAIN:
data science, data analysis, excel, data cleansing, data management, data processing, data validation, data wrangling, data quality, data modeling, data parallelism, data integration, data storage, data retrieval, data warehousing, data engineering, data mining, text mining, natural language processing, natural language toolkit (nltk), time series, machine learning, advanced machine learning, multi-task learning, reinforcement learning, markov chain monte carlo (mcmc), tableau, data vizualisation, advanced data vizualisation, python programming, r programming, rstudio, scala programming, python libraries, sql, nosql, database systems, database design, business analysis, business intelligence, apache spark, apache hadoop, big data, presentation design, extraction and transformation and loading (etl), web scraping, parallel computing, cloud computing, cloud databases
Operation Research Playlists
Operation Research Playlists road map for computer science students, which including the following main topics:
Operation Research (main topics)
Bioinformatics Playlists
Bioinformatics Playlists road map for computer science students, which including the following main topics: