What are the fees for Data Analysis in Python: Using Pandas DataFrames?

Tuition: USD 49 per year. Application fee: USD 0. Service fee: USD 0.

Is Data Analysis in Python: Using Pandas DataFrames available online?

Yes, this program is available online.

Data Analysis in Python: Using Pandas DataFrames

New York, United States

The Non-degree in Data Analysis in Python: Using Pandas DataFrames at Coursera Project Network is a program for international students taught in English.

Introduction

The Coursera Project Network is a unique initiative within Coursera, a leading online learning platform founded in 2012. It is not a university, but rather a public, open-access platform that facilitates the creation and delivery of hands-on projects by experts and educators. The Coursera Project Network is distinguished by its focus on practical, project-based learning, enabling learners to apply their skills in real-world scenarios. This approach allows individuals to gain tangible, job-ready skills quickly and efficiently.

About the Program

This Guided Project Data Analysis in Python: Using Pandas DataFrames is for those who are interested in using python for data science in practice. In this 90-minute Guided Project, learn how to import and visualize an IMDb data set in Pandas. You will learn how to import JSON data into a Pandas Dataframe and apply the data preparation process to ensure the data is ready for analysis. To achieve this, we will explore the famous IMDb Movies dataset. We will start with importing our JSON data into a Pandas data frame. After applying some data preparation steps such as dropping and renaming some columns, we are going to start our data analysis by answering some analytical questions about the dataset. This Guided Project is unique as it focuses on how to use Pandas functions to filter, clean, aggregate, and visualize data. In order to be successful in this project, you will need to have basic knowledge of the python programming language. basic Python syntax, simple Python operators, and Python control structures are the main prerequisite of this guided project.

About the University

The Coursera Project Network offers a wide range of guided projects across various domains, including business, technology, data science, and more. These projects are designed to be completed in a short time frame, typically a few hours, providing learners with a quick and immersive learning experience. Through step-by-step instructions and hands-on practice, participants can build confidence in their abilities and directly apply what they learn to their personal or professional pursuits. The Coursera Project Network empowers learners to bridge the gap between theoretical knowledge and practical application, making it a valuable resource for skill development and career advancement.

Fees

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Application Fee: 0 USD
Tuition Fee: 49

Entry Requirements

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All students from all countries are eligible to apply to this program.

Admissions Process

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Step 1 Choose programs
2
Step 2 Apply online
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Step 3 Enroll

Preparing documents

You can start your application now and send the application documents during your application. Some documents you can send later if you don’t have them right away. See document and eligibility requirements

Required documents

• Curriculum Vitae

• English Language Certificate

• Personal Statement

• Your Highest Academic Transcript (in English)

• Your Photograph

• Your Graduation Certificate (in English)

• Your Passport Copy

Application process

• Applying Online is simple in just a few steps. Learn more about the application process

• The first steps are to choose the programs, pay the application fee and upload the application documents.

• Once submitted to Global Admissions, we will review your application within 2-3 days and proceed to the university or ask you for further clarification

• After it has been processed to the university you will receive your unique application ID from each university.

• The university may contact you directly for further questions.

• We will then follow up each week with the university for updates. As soon as there is any update we will let you know. If you have made other plans, decide to withdraw / change address at any time please let us know.

• After you have been accepted you will receive your admissions letter electronically and asked to pay the non-refundable deposit to the university.

• Once you have paid the deposit the university will issue you the admissions letter and visa form to your home country.

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Data Analysis in Python: Using Pandas DataFrames

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