Wrangling Data for Data Analysts with Python from Coursera

By the end of this project, you will be able to analyze and data and answer three different questions by Data wrangling which is the process of gathering, selecting, and transforming data to answer an analytical question using Python. In this project, you will be able to gather the data for the whole year of 2020 and query it from the Quandl website using its API. It’s a free website for dummy data. You will be able to convert the returned JSON data into a Python dictionary. And you will be able to analyze this data to calculate the highest and lowest prices in this period, the biggest change based on High and Low price during this year, And finally, the average makeover during this year.

This guided project is for people in the field of business and data analysis. people who want to wrangle data and answer business questions and Clarify the use case and predict the relations between the source data. It provides you with important steps to be a data analyst. Moreover, it equips you with the knowledge in python's native data structures

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

What's inside

Syllabus

Project Overview

By the end of this project, you will be able to analyze Quandl data and answer three different questions by Data wrangling which is the process of gathering, selecting, and transforming data to answer an analytical question using Python. In this project, you will be able to gather the data for the whole year of 2020 and query it from the Quandl website using its API. It’s a free website for dummy data. You will be able to convert the returned JSON data into a Python dictionary. And you will be able to analyze this data to calculate the highest and lowest prices in this period, the biggest change based on High and Low price during this year, And finally, the average makeover during this year.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Builds a strong foundation for beginners on the principles and practices of data wrangling

Develops proficiency in Python's native data structures, a core skillset for data analysis

Provides hands-on labs and interactive materials to reinforce learning

Guided by instructors with recognized expertise in data analysis and data wrangling

May require students to come in with some prior experience in data analysis or Python

Note: This course is designed for individuals based in the North America region. If you are based outside of this region, the experience may vary

Reviews summary

Python wrangling for data analysts

According to students, the course Wrangling Data for Data Analysts with Python lacks up-to-date material and assignments. Some learners say that the code doesn't work or doesn't offer meaningful instruction for the hands-on portions of the class. However, a few others mention that the content would've been useful otherwise.

Content is good, but outdated.

"needs updating"

Code is broken and not helpful.

"The code doesn't work and hence nothing to learn"

"Would've been great content but wasn't able to participate in the guided portion of the exercise because of changes in jupyter notebooks"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Wrangling Data for Data Analysts with Python with these activities:

Review Python data structures

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This activity refreshes foundational knowledge in Python data structures, which is essential for data wrangling.

Browse courses on Python Programming

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Review Python lists, dictionaries, and tuples
Understand the use of these data structures in data wrangling

Read 'Data Science for Business'

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This book provides a comprehensive introduction to data science and its applications in business, reinforcing the concepts covered in the course.

View Data Science for Business: What You Need to... on Amazon

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Read chapters on data wrangling and analysis
Work through practice exercises

Gather and clean data

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This hands-on project provides an opportunity to practice the data wrangling process and apply it to real-world data.

Browse courses on Data Wrangling

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Fetch data from Quandl using API
Parse JSON data into a Python dictionary
Clean and preprocess the data

Four other activities

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Analyze and visualize data

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This activity helps strengthen data analysis and visualization skills by working with real-world data.

Browse courses on Data Analysis

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Calculate highest and lowest prices
Find the biggest changes based on High and Low price
Calculate the average makeover
Visualize the data using charts or graphs

Discuss data wrangling challenges

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This activity encourages collaboration and knowledge sharing by discussing common challenges in data wrangling.

Browse courses on Data Wrangling

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Join a study group or online forum
Participate in discussions on data wrangling techniques
Share experiences and learn from others

Write a blog post on data wrangling process

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This activity allows students to synthesize their knowledge by creating content that explains the data wrangling process.

Browse courses on Data Wrangling

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Summarize the different steps involved in data wrangling
Provide examples and code snippets
Share the blog post with others

Implement a data wrangling pipeline

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This project challenges students to apply their data wrangling skills to a real-world problem, reinforcing their understanding.

Browse courses on Data Wrangling

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Identify a dataset and define a data wrangling problem
Develop a data wrangling pipeline using Python
Test and evaluate the pipeline

Career center

Learners who complete Wrangling Data for Data Analysts with Python will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst is responsible for collecting, cleaning, and analyzing data to help businesses make better decisions. This course teaches the skills needed to perform these tasks using Python, making it an ideal course for anyone who wants to enter or advance in this field.

See salaries and explore the career path for Data Analyst

Data Scientist

A Data Scientist is responsible for developing and implementing mathematical and statistical models to solve business problems. This course provides a foundation in Python, which is a popular language for data science, making it a helpful course for anyone who wants to enter or advance in this field.

See salaries and explore the career path for Data Scientist

Business Analyst

A Business Analyst is responsible for analyzing business processes and making recommendations for improvement. This course teaches the skills needed to gather, analyze, and interpret data, making it a helpful course for anyone who wants to enter or advance in this field.

See salaries and explore the career path for Business Analyst

Financial Analyst

A Financial Analyst is responsible for analyzing financial data to make investment recommendations. This course teaches the skills needed to gather, analyze, and interpret data, making it a helpful course for anyone who wants to enter or advance in this field.

See salaries and explore the career path for Financial Analyst

Market Researcher

A Market Researcher is responsible for collecting and analyzing data about consumer behavior. This course teaches the skills needed to gather, analyze, and interpret data, making it a helpful course for anyone who wants to enter or advance in this field.

See salaries and explore the career path for Market Researcher

Statistician

A Statistician is responsible for collecting, analyzing, and interpreting data to help businesses make better decisions. This course teaches the skills needed to perform these tasks using Python, making it a helpful course for anyone who wants to enter or advance in this field.

See salaries and explore the career path for Statistician

Data Engineer

A Data Engineer is responsible for building and maintaining the infrastructure that stores and processes data. This course provides a foundation in Python, which is a popular language for data engineering, making it a helpful course for anyone who wants to enter or advance in this field.

See salaries and explore the career path for Data Engineer

Web Developer

A Web Developer is responsible for designing and developing websites. This course provides a foundation in Python, which is a popular language for web development, making it a helpful course for anyone who wants to enter or advance in this field.

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Data Architect

A Data Architect is responsible for designing and building data systems. This course provides a foundation in Python, which is a popular language for data architecture, making it a helpful course for anyone who wants to enter or advance in this field.

See salaries and explore the career path for Data Architect

Software Engineer

A Software Engineer is responsible for designing, developing, and maintaining software applications. This course provides a foundation in Python, which is a popular language for software development, making it a helpful course for anyone who wants to enter or advance in this field.

See salaries and explore the career path for Software Engineer

Database Administrator

A Database Administrator is responsible for managing and maintaining databases. This course provides a foundation in Python, which is a popular language for database administration, making it a helpful course for anyone who wants to enter or advance in this field.

See salaries and explore the career path for Database Administrator

Consultant

A Consultant is responsible for providing advice and guidance to businesses on a variety of topics. This course provides the skills needed to gather, analyze, and interpret data to support consulting activities, making it a helpful course for anyone who wants to enter or advance in this field.

See salaries and explore the career path for Consultant

Product Manager

A Product Manager is responsible for planning, developing, and marketing products. This course provides the skills needed to gather and analyze data to inform product decisions, making it helpful for those who want to enter or advance in this field.

See salaries and explore the career path for Product Manager

Analyst

An Analyst is responsible for gathering, analyzing, and interpreting data to answer business questions. This course provides the skills needed to perform these tasks using Python, making it a helpful course for anyone who wants to enter or advance in this field.

See salaries and explore the career path for Analyst