Once students have mastered the basics of Python programming, they are ready to learn data processing & Analysis with Python. This is an excellent course for students planning to take AP Computer Science, develop software, want to become a Data Analyst, preparing for college, Information Technology (IT) Specialist Certification Exam or Python Institute Associate Certification (PCEP) Exam.

Prereq:

• Object-Oriented Programming with Python or equivalent.

Learning Objectives

Following are the objective of this course:

• Introduce recursive functions
• Learn various algorithms to sort data in an array
• Learn various algorithms to search data in an array

Topics

• Data representation and algorithms
• Lists
• List interface
• ArrayList class
• Remove(object) from ArrayList
• Contains() in ArrayList
• For each 
• Understanding Iteration
• Understanding Recursion
• Traversing data structures 
• Insert data into a data structure 
• Deleting data from a data structure 
• Searching for data in a data structure
• Using Sequential Search algorithm to search data
• Using a Binary Search algorithm to search data
• Using the Selection sort algorithm to sort data
• Using the Insertion sort algorithm to sort data 
• Using the Mergesort algorithm to sort data

Exercises

• List content of Array
• Using Array List 
• Using Stack
• Using Queue
• Recursive 
• Recursive with loop
• Using Recursive
• Factorial
• Sorting Array using Arrays.sort() 
• Sorting the list of items in an Array
• Sorting Data Using insertionSort
• Sorting Data Using SelectionSort
• Sorting Data Using MergeSort
• Sorting Data Using QuickSort
• Searching through an Array of String 
• Searching through an Array of Numbers 
• Binary Search

Assumptions

• The course assumes that the learner is familiar with the Internet and Windows. The student should have a basic knowledge of Java Programming language and Object-Oriented Programming Concepts.
• This course depends on the student's commitment to work in class and, if necessary, to work independently at his/her own time on a project assigned to them that will require access to the computer.

Learning Resources and Tools

The workload of each unit varies, and each unit consists of the following:

• Lecture: The Lecture consists of notes that can be used by students as reference material.
• Video: The Video consists of a presentation on the topics covered in the lecture note.
• Hands-on Exercise: The hands-on exercises allow students to apply the concepts learned in each unit.
• Quiz: The quiz allows the student to validate their learning further.

Required Text

Introduction to Data Structure and Algorithm for Teens by NR Computer Learning Center.

Technical Requirements

Access to a computer and the internet