Data Structures and Algorithms (training)

Colleagues, in the Data Structures and Algorithms program you will learn data structures and algorithms by solving 80+ practice problems. You will begin each course by learning to solve defined problems related to a particular data structure and algorithm. By the end of each course, you would be able to evaluate and assess different data structures and algorithms for any open-ended problem and implement a solution based on your design choices. Knowledge of Python and Basic Algebra is recommended. Skill-based training modules include: 1) Introduction - meet your instructors, and refresh your Python skills. Learn the framework to deconstruct any open-ended problem and then understand the concepts of time and space complexity (Project: Unscramble Computer Science Problems), 2) Data Structures - can be used to store data. Implement different methods used to manipulate these data structures and examine the efficiency. Understand the advantages and applications of different data structures. Learn how to approach open ended problems (either in interview or real-world) and select appropriate data structures based on requirements (Project: Show Me the Data Structures, 3) Basic Algorithms - such as searching and sorting on different data structures and examine the efficiency of these algorithms. Use recursion to implement these algorithms and then learn how some of these algorithms can be implemented without recursion. Practice selecting and modifying these algorithms for a variety of interview problems (Project: Problems vs. Algorithms), and 4) Advanced Algorithms - such as brute-force greedy algorithms, graph algorithms, and dynamic programming which optimizes recursion by storing results to sub problems. (Project: Route Planner).

Enroll today (teams & execs welcome): https://tinyurl.com/3ua6b24c 

Download your free Data Science - Career Transformation Guide.

“Data-Driven Organizations”  book series for your listening-reading pleasure: 

1 - Data-Driven Decision-Making  (Audible) (Kindle)

2 - Implementing Data Science Methodology: From Data Wrangling to Data Viz (Audible) (Kindle)

Much career success, Lawrence E. Wilson - AI Academy (share with your team)