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Data Analysis in Python
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Codio

Data Analysis in Python

This course is part of Data Science and Analysis Tools - from Jupyter to R Markdown Specialization

Sharon Jason

Instructor: Sharon Jason

Included with Coursera Plus

•Learn more
5 modules
Gain insight into a topic and learn the fundamentals.
17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace

5 modules
Gain insight into a topic and learn the fundamentals.
17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
  • About
  • Outcomes
  • Modules
  • Recommendations
  • Testimonials

Skills you'll gain

  • Data Visualization
  • Descriptive Statistics
  • Computational Logic
  • Python Programming
  • Data Cleansing
  • Statistical Hypothesis Testing
  • Pandas (Python Package)
  • Probability & Statistics
  • Data Analysis
  • Data Manipulation
  • Data Import/Export
  • Exploratory Data Analysis
  • Matplotlib
  • Statistics
  • Data Science

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

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Build your subject-matter expertise

This course is part of the Data Science and Analysis Tools - from Jupyter to R Markdown Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

Code and run your first Python script in minutes without installing anything!

This course is designed for learners with no coding experience. It provides a crash course in Python, enabling the learners to delve into core data analysis topics that can be transferred to other languages. This course will teach you how to import and organize your data, use functions to gather descriptive statistics and perform statistical tests. Experience a truly hands-on, self-paced learning journey with our unique video-free course structure. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from various assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill-in-the-blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours. Finally, a longer-form lab at the end of the course will allow you to apply all learned concepts within a real-world context.

Welcome to Week 1 of the Data Analysis in Python course. These assignments cover introductory topics such as Printing and Sorting, Data Types, and Statistical Functions.

What's included

5 readings4 app items

5 readings•Total 40 minutes
  • Navigating Codio Assignments•5 minutes
  • Printing and Sorting Lesson Notes•10 minutes
  • Data Types Lesson Notes•10 minutes
  • Statistical Functions Lesson Notes•10 minutes
  • How to Reset an Assignment in Codio•5 minutes
4 app items•Total 195 minutes
  • Codio: Basics Coding Exercises•60 minutes
  • Codio: Printing and Sorting•45 minutes
  • Codio: Data Types•45 minutes
  • Codio: Statistical Functions•45 minutes

Welcome to Week 2 of the Data Analysis in Python course. These assignments cover logical operators, importing a data frame, and selecting data. The module ends with graded summative assessments.

What's included

5 readings4 app items

5 readings•Total 40 minutes
  • Copy of Navigating Codio Assignments•5 minutes
  • Logical Operator Lesson Notes•10 minutes
  • Importing a Data Frame Lesson Notes•10 minutes
  • Selecting Data Lesson Notes•10 minutes
  • Copy of How to Reset an Assignment in Codio•5 minutes
4 app items•Total 195 minutes
  • Codio: Mixed Data Sets Coding Exercises•60 minutes
  • Codio: Logical Operator•45 minutes
  • Codio: Importing a Data Frame•45 minutes
  • Codio: Selecting Data•45 minutes

Welcome to Week 3 of the Data Analysis in Python course. These assignments cover conditionals, handling incomplete data sets, and merges and joins. The module ends with graded summative assessments.

What's included

5 readings4 app items

5 readings•Total 40 minutes
  • Copy of Copy of Navigating Codio Assignments•5 minutes
  • Conditionals Lesson Notes•10 minutes
  • Handling Incomplete Data Sets Lesson Notes•10 minutes
  • Merges and Joins Lesson Notes•10 minutes
  • Copy of Copy of How to Reset an Assignment in Codio•5 minutes
4 app items•Total 210 minutes
  • Codio: Determine if Populations are Different Coding Exercises•60 minutes
  • Codio: Conditionals•45 minutes
  • Codio: Handling Incomplete Data Sets•60 minutes
  • Codio: Merges and Joins•45 minutes

Welcome to Week 4 of the Data Analysis in Python course. These assignments cover Comparison tests, importing a data frame, and selecting data. The module ends with graded summative assessments.

What's included

5 readings4 app items

5 readings•Total 40 minutes
  • Comparison Test Lesson Notes•10 minutes
  • Copy of Navigating Codio Assignments•5 minutes
  • Correlation Test Lesson Notes•10 minutes
  • Regression Test Lesson Notes•10 minutes
  • Copy of Copy of How to Reset an Assignment in Codio•5 minutes
4 app items•Total 225 minutes
  • Codio: Describe Relationships Coding Exercises•60 minutes
  • Codio: Comparison Test•60 minutes
  • Codio: Correlation Test•60 minutes
  • Codio: Regression Test•45 minutes

Welcome to Week 5 of the Data Analysis in Python course. This lab covers the material from the first four weeks of this course.

What's included

1 app item

1 app item•Total 60 minutes
  • Codio: Python Data Analysis Lab•60 minutes

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Instructor

Sharon Jason
Sharon Jason
Codio
5 Courses•11,475 learners

Offered by

Codio

Offered by

Codio

Codio is the hands-on learning platform supporting better outcomes in computing and tech skills education and is used by some of the world's largest and most prestigious higher education institutions to deliver engaging courses at scale.

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