Programming courses

Learn HTML from basics to advanced concepts with step-by-step tutorials and hands-on practice.

Learn Python programming from basics to advanced concepts with step-by-step tutorials and hands-on practice.

Master JavaScript, the language of the web. From fundamentals to modern ES6+ features.

Server-side JavaScript development, APIs, databases, and deployment. Build robust backend systems.

Master Apache Kafka for real-time data streaming. Learn event-driven architecture, producers, consumers, and distributed systems.

Master C++ programming from basics to advanced. Learn object-oriented programming, STL, memory management, and build high-performance applications.

Linear algebra, calculus, probability, discrete mathematics, and numerical methods for GATE CS.

Verbal, quantitative, and analytical aptitude for the shared 15-mark GATE GA section.

Complexity, sorting, graph algorithms, and dynamic programming for GATE CS.

Boolean algebra, K-maps, sequential circuits, and binary arithmetic for GATE CS.

Scheduling, memory management, file systems, and disk scheduling for GATE CS.

ISA, pipelining hazards, and cache numericals for GATE CS.

C tracing, arrays, lists, stacks, queues, trees, graphs, and hashing for GATE CS.

ER model, normalization, SQL, transactions, and indexing for GATE CS.

IP fragmentation, routing, TCP/UDP utilization, and application protocols for GATE CS.

Automata, CFGs, Turing machines, and complexity classes for GATE CS.

Lexical analysis, LL/LR parsing, SDT, and intermediate code for GATE CS.

Master the foundations of algorithmic problem-solving, stable matching, growth rates, data structures, and priority queues. Based on Kleinberg & Tardos Algorithm Design.

Master graph algorithms including BFS/DFS, topological sort, bipartite graphs, and DAG applications. Perfect for competitive programming and interview prep.

Master greedy algorithms including interval scheduling, Dijkstra's algorithm, MST (Kruskal & Prim), Union-Find, and Huffman coding. Essential for competitive programming.

Master divide and conquer techniques including recurrences, merge sort, closest pair of points, Karatsuba multiplication, and FFT. Advanced algorithmic problem-solving.

Master dynamic programming including weighted interval scheduling, knapsack variants, sequence alignment, shortest paths, and negative cycles. Schoolabe's signature DP course.

Master network flow algorithms including Ford-Fulkerson, min-cut, bipartite matching, and applications. Essential for GATE, competitive programming, and advanced interviews.

Master complexity theory including reductions, SAT problems, NP-complete problems, and PSPACE. Essential for GATE and advanced CS foundational mastery.

Master advanced algorithmic techniques including FPT algorithms, approximation algorithms, local search, and randomized algorithms. Research-oriented algorithms track.

Build strong programming logic before starting DSA. Master conditionals, loops, recursion, arrays, strings, and mixed challenges through 6 progressive phases.

Learn scalable frontend architecture with Angular micro frontends, module federation, and team-level deployment autonomy.

Learn scaling, estimation, interview frameworks, rate limiters, URL shorteners, consistent hashing, KV stores, and distributed IDs. Diagrams, labs, and mock interview links included.

Learn NumPy arrays, dtypes, indexing, broadcasting, and aggregations. Then practice on real tables in the data analysis lab.

Learn Pandas Series and DataFrames, CSV inspection, filtering, missing values, groupby, and merge. Practice on the Palmer penguins dataset.

Learn figures and axes, line and scatter plots, bars, histograms, box plots, labels, and subplots. Draw them in the data analysis lab.