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Randal L. Carr
In this project-based course, you will learn how to use the Python programming language and Pandas as a data analyst. A data analyst analyzes and visualizes data, as well as communicates the findings and insights effectively across an organization. In many cases, these findings are meant to answer a business question.
Read more
In this project-based course, you will learn how to use the Python programming language and Pandas as a data analyst. A data analyst analyzes and visualizes data, as well as communicates the findings and insights effectively across an organization. In many cases, these findings are meant to answer a business question.
Read more
In this project-based course, you will learn how to use the Python programming language and Pandas as a data analyst. A data analyst analyzes and visualizes data, as well as communicates the findings and insights effectively across an organization. In many cases, these findings are meant to answer a business question.
For this project-based course, Airbnb is looking for excellent deals to promote hosts in New York City using a new social media ad campaign. We will do this by obtaining, cleaning, and analyzing existing data to help Airbnb decide which hosts will be promoted.
Data analysis is a valuable skill to have if you want to use open-source data to help make business decisions. This project will help an aspiring data analyst use Python and Pandas to load, clean, and use data to answer important business questions.
Register for this course and see more details by visiting:
OpenCourser.com/course/hdzoib/data
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What's inside
Syllabus
Project Overview
In this project, you will learn how to import and analyze a large dataset using a virtual browser, Python, Pandas, and an online coding tool. We will obtain, clean, and analyze existing data to answer a business question.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Ideal for data analysts looking to use Python and Pandas to load, clean, and use data to answer important business questions
Develops data analysis skills, which are key to making business decisions
Instructors are Randal L. Carr, suggesting it is credible and reliable
Uses Airbnb, a known company to make the content immediately relatable and relevant
Teaches Python and Pandas, both widely used and valuable
Save this course
Save Data Analysis with Python: Inform a Business Decision to your list so you can find it easily later:
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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 Data Analysis with Python: Inform a Business Decision with these
activities:
Review Python programming basics
Show steps
Refresh your understanding of Python programming basics, including data types, variables, and control flow, to strengthen your foundation for the course.
Browse courses on
Python Programming
Show steps
-
Read through online Python tutorials or documentation to review basic concepts.
-
Complete coding exercises to practice writing simple Python programs.
Review data analysis concepts
Show steps
Strengthen your foundation in data analysis by reviewing key concepts such as data types, data cleaning, statistical measures, and visualization techniques, ensuring a solid understanding for the course content.
Browse courses on
Exploratory Data Analysis
Show steps
-
Read through online materials or textbooks covering data analysis fundamentals.
-
Complete practice exercises or quizzes to test your understanding.
Explore Pandas tutorials
Show steps
Enhance your familiarity with the Pandas library by following online tutorials that cover data manipulation techniques, such as dataframes, series, and data analysis functions.
Browse courses on
Pandas Library
Show steps
-
Identify online Pandas tutorials or resources that align with your learning goals.
-
Follow the tutorials step-by-step, completing the accompanying exercises or examples.
-
Experiment with the Pandas library in a coding environment to apply what you've learned.
Three other activities
Expand to see all activities and additional details
Show all six activities
Create a data visualization
Show steps
Creating a data visualization is a great way to practice your skills in data analysis and visual presentation.
Browse courses on
Visualizing Data
Show steps
-
Load the data into your preferred software
-
Clean the data
-
Create a visual representation of the data
-
Save your visualization
Attend a Python data analytics workshop
Show steps
Gain practical experience and insights by attending a Python data analytics workshop that covers real-world data analysis techniques and tools, enhancing your understanding of the course content.
Show steps
-
Research and identify Python data analytics workshops in your area or online.
-
Register for a workshop that aligns with your learning objectives.
-
Actively participate in the workshop, taking notes and asking questions.
-
Apply the techniques and knowledge gained from the workshop to your course assignments.
Develop a data analysis project
Show steps
Apply your skills by creating a data analysis project that addresses a real-world business problem, demonstrating your proficiency in data cleaning, analysis, and visualization.
Show steps
-
Identify a business question or problem that you can address using data analysis.
-
Gather and clean relevant data from various sources.
-
Perform data analysis and identify insights using Python and Pandas.
-
Visualize your findings using charts, graphs, or dashboards.
-
Present your project findings and insights in a clear and concise manner.
Review Python programming basics
Show steps
Refresh your understanding of Python programming basics, including data types, variables, and control flow, to strengthen your foundation for the course.
Browse courses on
Python Programming
Show steps
Show steps
Show steps
- Read through online Python tutorials or documentation to review basic concepts.
- Complete coding exercises to practice writing simple Python programs.
Review data analysis concepts
Show steps
Strengthen your foundation in data analysis by reviewing key concepts such as data types, data cleaning, statistical measures, and visualization techniques, ensuring a solid understanding for the course content.
Browse courses on
Exploratory Data Analysis
Show steps
Show steps
Show steps
- Read through online materials or textbooks covering data analysis fundamentals.
- Complete practice exercises or quizzes to test your understanding.
Explore Pandas tutorials
Show steps
Enhance your familiarity with the Pandas library by following online tutorials that cover data manipulation techniques, such as dataframes, series, and data analysis functions.
Browse courses on
Pandas Library
Show steps
Show steps
Show steps
- Identify online Pandas tutorials or resources that align with your learning goals.
- Follow the tutorials step-by-step, completing the accompanying exercises or examples.
- Experiment with the Pandas library in a coding environment to apply what you've learned.
Three other activities
Expand to see all activities and additional details
Show all six activities
Create a data visualization
Show steps
Creating a data visualization is a great way to practice your skills in data analysis and visual presentation.
Browse courses on
Visualizing Data
Show steps
Show steps
Show steps
- Load the data into your preferred software
- Clean the data
- Create a visual representation of the data
- Save your visualization
Attend a Python data analytics workshop
Show steps
Gain practical experience and insights by attending a Python data analytics workshop that covers real-world data analysis techniques and tools, enhancing your understanding of the course content.
Show steps
Show steps
Show steps
- Research and identify Python data analytics workshops in your area or online.
- Register for a workshop that aligns with your learning objectives.
- Actively participate in the workshop, taking notes and asking questions.
- Apply the techniques and knowledge gained from the workshop to your course assignments.
Develop a data analysis project
Show steps
Apply your skills by creating a data analysis project that addresses a real-world business problem, demonstrating your proficiency in data cleaning, analysis, and visualization.
Show steps
Show steps
Show steps
- Identify a business question or problem that you can address using data analysis.
- Gather and clean relevant data from various sources.
- Perform data analysis and identify insights using Python and Pandas.
- Visualize your findings using charts, graphs, or dashboards.
- Present your project findings and insights in a clear and concise manner.
Career center
Learners who complete Data Analysis with Python: Inform a Business Decision will develop knowledge and skills
that may be useful to these careers:
Statistician
Statistician
Statisticians use data to make inferences about the world. They collect, analyze, and interpret data to draw conclusions about populations and processes. This course will help you develop the skills you need to be a successful Statistician, including how to use Python and Pandas to load, clean, and use data to answer important business questions.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. They work with data scientists to develop algorithms, and then engineer these algorithms into production systems. This course will help you develop the skills you need to be a successful Machine Learning Engineer, including how to use Python and Pandas to load, clean, and use data to answer important business questions.
Data Analyst
Data Analyst
Data Analysts use data to help companies make better decisions. They clean, analyze, and interpret data to identify trends and patterns. This course will help you develop the skills you need to be a successful Data Analyst, including how to use Python and Pandas to load, clean, and use data to answer important business questions.
Data Engineer
Data Engineer
Data Engineers build and maintain the infrastructure that stores and processes data. They work with data scientists and business analysts to ensure that data is available, reliable, and secure. This course will help you develop the skills you need to be a successful Data Engineer, including how to use Python and Pandas to load, clean, and use data to answer important business questions.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. They ensure that data is stored securely and efficiently, and that it is available to users when they need it. This course will help you develop the skills you need to be a successful Database Administrator, including how to use Python and Pandas to load, clean, and use data to answer important business questions.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use data to make investment decisions. They develop and use models to predict the future performance of stocks, bonds, and other financial instruments. This course will help you develop the skills you need to be a successful Quantitative Analyst, including how to use Python and Pandas to load, clean, and use data to answer important business questions.
Data Scientist
Data Scientist
Data Scientists use data to build models that can predict future outcomes. They work with large datasets to identify patterns and trends, and then develop algorithms to make predictions. This course will help you develop the skills you need to be a successful Data Scientist, including how to use Python and Pandas to load, clean, and use data to answer important business questions.
Business Analyst
Business Analyst
Business Analysts use data to help companies improve their performance. They work with stakeholders to identify problems and opportunities, and then develop and implement solutions. This course will help you develop the skills you need to be a successful Business Analyst, including how to use Python and Pandas to load, clean, and use data to answer important business questions.
Market Researcher
Market Researcher
Market Researchers collect and analyze data about markets and customers. They use this data to help companies understand their customers and make better decisions. This course will help you develop the skills you need to be a successful Market Researcher, including how to use Python and Pandas to load, clean, and use data to answer important business questions.
Software Engineer
Software Engineer
Software Engineers design, develop, and test software applications. They work with users to understand their needs, and then develop software solutions that meet those needs. This course will help you develop the skills you need to be a successful Software Engineer, including how to use Python and Pandas to load, clean, and use data to answer important business questions.
Web Developer
Web Developer
Web Developers design and develop websites. They work with users to understand their needs, and then develop websites that meet those needs. This course will help you develop the skills you need to be a successful Web Developer, including how to use Python and Pandas to load, clean, and use data to answer important business questions.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to make investment recommendations. They work with clients to understand their investment goals, and then develop and implement investment strategies. This course will help you develop the skills you need to be a successful Financial Analyst, including how to use Python and Pandas to load, clean, and use data to answer important business questions.
Product Manager
Product Manager
Product Managers manage the development and launch of new products. They work with engineers, designers, and marketers to bring new products to market. This course will help you develop the skills you need to be a successful Product Manager, including how to use Python and Pandas to load, clean, and use data to answer important business questions.
Consultant
Consultant
Consultants help companies improve their performance. They work with clients to identify problems and opportunities, and then develop and implement solutions. This course will help you develop the skills you need to be a successful Consultant, including how to use Python and Pandas to load, clean, and use data to answer important business questions.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visual representations of data. They work with data analysts and business analysts to communicate insights from data to stakeholders. This course will help you develop the skills you need to be a successful Data Visualization Specialist, including how to use Python and Pandas to load, clean, and use data to answer important business questions.
For more career information including salaries, visit:
OpenCourser.com/course/hdzoib/data
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Analysis with Python: Inform a Business Decision.
Introduces the fundamental concepts of data science and provides a comprehensive overview of the Python programming language and its libraries for data analysis and visualization.
Save
Provides a comprehensive overview of deep learning theory and algorithms, with a focus on practical applications.
Provides a comprehensive overview of information theory, inference, and learning algorithms, with a focus on theoretical foundations.
Provides a practical guide to designing and implementing data science projects.
Provides a theoretical foundation for machine learning and pattern recognition, with a focus on statistical methods.
Provides a comprehensive overview of statistical learning methods, with a focus on practical applications.
Provides a practical guide to using data science for business decision-making.
Provides a practical guide to using Pandas for data manipulation, cleaning, and analysis.
Provides a collection of recipes for solving common machine learning problems using Python.
Save
Provides an overview of the big data revolution and its implications for society and business.
Provides a hands-on introduction to data science and machine learning, using Python from scratch.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hdzoib/data
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Effort
1 hour
Level
Introductory
Via
Coursera
Institutions
Coursera Project Network
W3Schools
Instructor
Randal L. Carr
Language
English
Good to know
Ideal for data analysts looking to use Python and Pandas to load, clean, and use data to answer important business questions
Develops data analysis skills, which are key to making business decisions
Instructors are Randal L. Carr, suggesting it is credible and reliable
Uses Airbnb, a known company to make the content immediately relatable and relevant
Teaches Python and Pandas, both widely used and valuable
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