Genetic Algorithms Courses

Data Manipulation at Scale: Systems and Algorithms

773 ratings at Coursera

Learn the landscape of scalable data systems: relational algebra and parallel databases, MapReduce thinking, Spark programming, NoSQL key-value stores, and algorithms for graph-structured data.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Career Certificate

Mastering Algorithms and Data Structures in Python

2537 ratings at CodeSignal

Build foundational Python skills for choosing, applying, and explaining algorithms and data structures in technical interviews.

• CodeSignal
• 16 hours
• Self-Paced
• Free Certificate
• 5 courses

Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps

7 ratings

Become familiar with nonlinear and hierarchical data structures. Study various tree structures: Binary Trees, BSTs and Heaps. Understand tree operations and algorithms. Learn and implement HashMaps th

• edX
• 5 weeks, 9-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms

7 ratings

Learn more complex tree data structures, AVL and (2-4) trees. Investigate the balancing techniques found in both tree types. Implement these techniques in AVL operations. Explore sorting algorithms wi

• edX
• 5 weeks, 9-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Geometric Folding Algorithms: Linkages, Origami, Polyhedra

This course focuses on the algorithms for analyzing and designing geometric foldings. Applications to architecture, robotics, manufacturing, and biology are also covered in this course.

• MIT OpenCourseWare
• 43 hours
• Self-Paced
• Free Video

Data Structures & Algorithms IV: Pattern Matching, Dijkstra’s, MST, and Dynamic Programming Algorithms

6 ratings

Delve into Pattern Matching algorithms from KMP to Rabin-Karp. Tackle essential algorithms that traverse the graph data structure like Dijkstra’s Shortest Path. Study algorithms that construct a Minim

• edX
• 5 weeks, 9-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Computer Science: Algorithms, Theory, and Machines

796 ratings at Coursera

Trace computation from algorithms to circuits: study binary search and mergesort, stacks, queues and symbol tables, Turing machines and intractability, then build a CPU from logic gates.

• Coursera
• 11 weeks, 2 hours a week
• Self-Paced
• Free Online Course

Career Certificate

Data Structures and Algorithms

16772 ratings at Coursera

Learn algorithms by implementing them: solve nearly 100 coding problems across algorithmic toolbox, data structures, graph and string algorithms, complexity, and a genome assembly challenge.

• Coursera
• 20 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 6 courses

NPTEL;  Chennai Mathematical Institute

Design and Analysis of Algorithms

10 ratings

Design and analyze algorithms through asymptotic complexity, sorting, graph algorithms, data structures, greedy methods, dynamic programming, and intractability.

• YouTube
• 15 hours
• Self-Paced
• Free Video

Machine Learning Algorithms with Python in Business Analytics

43 ratings at Coursera

Run and interpret regression, K-nearest neighbors, decision tree, K-means and DBSCAN models in Python with scikit-learn to find actionable insight in business data.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Machine Learning Algorithms with Python in Business Analytics

43 ratings at Coursera

Find patterns in business data: run and interpret regression, K-nearest neighbors, decision tree, K-means and DBSCAN models in Python with scikit-learn.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Genetic Engineering - From DNA Structure to Protein Synthesis

2 ratings

Trace how DNA structure and genetic code direct RNA processing and protein synthesis, including RNA interference to control gene expression.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

算法设计与分析 Design and Analysis of Algorithms

53 ratings at Coursera

以分治、动态规划、贪心、回溯与分支限界为核心，训练从实际问题建模、设计算法并分析和改进效率。

• Coursera
• 11 weeks, 3 hours a week
• Self-Paced
• Paid Course

Problems, Algorithms and Flowcharts

31 ratings at Coursera

Express computational problems as algorithms: draw flowcharts, write pseudocode with iteration, convert between the two, and work through the Euclidean algorithm.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Coding Algorithms with AI

Write JavaScript controllers that drive user interfaces: connect views to algorithms, debug with a disciplined process, and automate gruntwork by generating HTML divs from spreadsheet data.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course