Data Analysis and Representation, Selection and Iteration
- 4.7
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Course Summary
Learn how to represent and analyze data in Python using various techniques including selection and iteration. This course covers the basics of data analysis and is great for beginners who want to gain skills in Python programming.Key Learning Points
- Understand data analysis and its importance
- Learn how to represent data using Python
- Master techniques like selection and iteration to analyze data
Related Topics for further study
Learning Outcomes
- Understand the basics of data analysis
- Gain proficiency in Python programming
- Learn how to represent and analyze data using Python
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of programming concepts
- A computer with internet access
Course Difficulty Level
BeginnerCourse Format
- Online
- Self-paced
Similar Courses
- Data Science Essentials
- Python Data Structures
- Applied Data Science with Python
Notable People in This Field
- DataCamp
- Kaggle
- Dataquest
Related Books
Description
This course is the second course in the specialization exploring both computational thinking and beginning C programming. Rather than trying to define computational thinking, we’ll just say it’s a problem-solving process that includes lots of different components. Most people have a better understanding of what beginning C programming means!
Outline
- DATA ANALYSIS
- Course Introduction
- Navigating a Coursera Course
- Meet the Instructor (optional)
- Lesson Introduction
- Mean and Standard Deviation, Part 1
- Mean and Standard Deviation, Part 2
- Fictional Drug Trials
- Continuous vs Discrete Data
- Spelling Errors
- Data Analysis Topic Understanding Check
- Data Analysis Practice Quiz
- Data Analysis Graded Quiz
- Selection
- Lesson Introduction
- If Statements
- The Danger of Equals
- Switch Statements
- Exercise 1: If Statements
- Exercise 2: Switch Statements
- Selection Lecture Code
- Number Characteristics Solution
- Data Representation
- Lesson Introduction
- Histograms
- Bar Charts
- Line Graphs
- Pie Charts
- Scatterplots
- Super Cool Representations
- Data Representation Topic Understanding Check
- Data Representation Practice Quiz
- Data Representation Graded Quiz
- Iteration
- Lesson Introduction
- For Loops
- Nested For Loops
- While Loops
- Do-While Loops
- Nesting and Boxes
- Finishing Up
- Exercise 3: For Loops
- Exercise 4: While Loops
- Iteration Lecture Code
- When Will They Stop Solution
Summary of User Reviews
The Data Analysis: Representation, Selection, and Iteration course on Coursera has received positive reviews from learners who found it to be an informative and comprehensive course on data analysis. Many users appreciated the well-structured course content and the hands-on approach to learning.Key Aspect Users Liked About This Course
The hands-on approach to learning was a key aspect that many users thought was good.Pros from User Reviews
- Well-structured course content
- Great hands-on approach to learning
- Informative and comprehensive course on data analysis
- Engaging and knowledgeable instructors
- Practical exercises and assignments that help learners apply what they have learned
Cons from User Reviews
- Some users found the course to be too technical
- A few learners reported that the course moved too fast
- The course may not be suitable for beginners with no prior knowledge of data analysis
- The quizzes and exams were challenging for some learners
- Some users experienced technical difficulties with the platform
Dr. Tim "Dr. T" Chamillard
4.7 Raiting
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- 0.0
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