/Learn-Data-Analysis-with-IPL-Data

Primary LanguageShell

Learn Data Analysis with IPL Data
by Afiz

Specs deadline: YYYY-MM-DD

*Data Analysis is all about finding valuable insights of the data. Lear Data Analysis with IPL data will teach Python programming in a fun way using IPL dataset. I used to play cricket a lot in my childhood. I was very much interested in the numbers of cricket like runrate during the powerplay and average score of toporder batsmen, but I didn't have access to data that time. Now we have access to data and technology which allow us to explore all these details. In this course we will learn how to load the data and explore the data to find out valuable insights of it.

Course development resources

Step 1: Brainstorming

1. What problem(s) will students learn how to solve?

2. What techniques or concepts will students learn?

3. What technologies, packages, or functions will students use?

4. What terms or jargon will you define?

5. What analogies or heuristics will you use?

6. What mistakes or misconceptions do you expect?

7. What datasets will you use?

Step 2: Who Is This Course for?

Link to learner personas

  • Student 1: discussion.
  • Student 2: discussion.
  • Student 3: discussion.

Step 3: What Will Learners Do Along the Way?

Write full descriptions of a couple of significant exercises to show how far learners are likely to get.

Title of Exercise

Describe the exercise here, including the learning objectives, concepts taught, and any other important details.

Solution

Include the code that you expect the students to write by the end of the course.
It should typically be 2 or 3 lines.

Other Exercises

Write brief descriptions of 10 to 15 more exercises throughout the course. After this step you should have a clear idea of the flow of the course.

Exercise title 1

  • Describe the exercise.
  • Mention the learning objectives.
  • Two or three bullets points is enough.

Solution

Solution code here.
It should typically be 2 or 3 lines.

Exercise title 2

  • Describe the exercise.
  • …

Solution

Solution code here.

Step 4: How Are the Concepts Connected?

Remind yourself about course terminology, then describe the flow of the course.

  • Chapter 1
    • Lesson 1.1
    • Lesson 1.2
    • Lesson 1.3
  • Chapter 2
    • Lesson 2.1
    • Lesson 2.2
    • Lesson 2.3

The datasets are:

  • datasets/dataset-1: data set 1
  • datasets/dataset-2: data set 2

Step 5: Course Overview

Course Description

One-paragraph description of the course.

Learning Objectives

  • Objective 1
  • Objective 2
  • Objective 3

Prerequisites