Self-paced course
Self-paced course
Python Foundations for Data Analysis
Python Foundations for Data Analysis
Course Description
This is a hands-on, project-based course designed to help you master the core building blocks of Python for data analysis.
We’ll start by introducing the Python language and ecosystem, installing Jupyter Notebooks where we’ll write our first lines of code, and reviewing some key Python data types and properties.
From there we’ll dive into foundational tools like variables, numeric and string operators, conditional logic, loops, functions and more. You’ll learn how to create and manipulate raw data, define conditional logic, loop through iterables or indices, and extract values stored in a wide variety of data types including dictionaries, lists, tuples, and more.
Throughout the course you’ll play the role of a Data Analytics Intern for Maven Ski Shop, the world’s #1 store for skis, snowboards and winter gear. Using the skills you learn throughout the course, you’ll help the Maven team track inventory, pricing, and sales performance using Python.
Last but not least, we’ll practice importing and manipulating data from an Excel workbook using the openpyxl package, and bring it all together with a final course project.
If you’re a data analyst or business intelligence professional looking to add Python to your skill set, this is the course for you.
Course Description
This is a hands-on, project-based course designed to help you master the core building blocks of Python for data analysis.
We’ll start by introducing the Python language and ecosystem, installing Jupyter Notebooks where we’ll write our first lines of code, and reviewing some key Python data types and properties.
From there we’ll dive into foundational tools like variables, numeric and string operators, conditional logic, loops, functions and more. You’ll learn how to create and manipulate raw data, define conditional logic, loop through iterables or indices, and extract values stored in a wide variety of data types including dictionaries, lists, tuples, and more.
Throughout the course you’ll play the role of a Data Analytics Intern for Maven Ski Shop, the world’s #1 store for skis, snowboards and winter gear. Using the skills you learn throughout the course, you’ll help the Maven team track inventory, pricing, and sales performance using Python.
Last but not least, we’ll practice importing and manipulating data from an Excel workbook using the openpyxl package, and bring it all together with a final course project.
If you’re a data analyst or business intelligence professional looking to add Python to your skill set, this is the course for you.
Course Content
19 course hours
40 assignments & solutions
10 quizzes
10 skill assessments
19 CPE credits
Who should take this course
Analysts or BI professionals looking for a deep introduction to basic Python
Aspiring data scientists who want to build foundational Python skills
Anyone interested in learning one of the most popular open source programming languages in the world
Meet your instructors
Chris Bruehl
Analytics Engineer & Lead Python Instructor
Chris is a Python expert, certified Statistical Business Analyst, and seasoned Data Scientist, having held senior-level roles at large insurance firms and financial service companies. He earned a Masters in Analytics at NC State's Institute for Advanced Analytics, where he founded the IAA Python Programming club.
Featured review
"Excellent introductory course, which gives you every tool you need to understand fundamental Python concepts and packages. Chris Bruehl is a great addition to an already outstanding team – 5 stars fully deserved!"
Enrico G.
Included learning paths
Course credential
You’ll earn the course certification by completing this course and passing the assessment requirements
Python Foundations for Data Analysis
Python Foundations for Data Analysis
CPE Accreditation
CPE Credits:
19
Field of Study:
Information Technology
Delivery Method:
QAS Self Study
Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.
For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.
*Last Updated: May 25, 2023
Course Description
This is a hands-on, project-based course designed to help you master the core building blocks of Python for data analysis.
We’ll start by introducing the Python language and ecosystem, installing Jupyter Notebooks where we’ll write our first lines of code, and reviewing some key Python data types and properties.
From there we’ll dive into foundational tools like variables, numeric and string operators, conditional logic, loops, functions and more. You’ll learn how to create and manipulate raw data, define conditional logic, loop through iterables or indices, and extract values stored in a wide variety of data types including dictionaries, lists, tuples, and more.
Throughout the course you’ll play the role of a Data Analytics Intern for Maven Ski Shop, the world’s #1 store for skis, snowboards and winter gear. Using the skills you learn throughout the course, you’ll help the Maven team track inventory, pricing, and sales performance using Python.
Last but not least, we’ll practice importing and manipulating data from an Excel workbook using the openpyxl package, and bring it all together with a final course project.
If you’re a data analyst or business intelligence professional looking to add Python to your skill set, this is the course for you.
Course Description
This is a hands-on, project-based course designed to help you master the core building blocks of Python for data analysis.
We’ll start by introducing the Python language and ecosystem, installing Jupyter Notebooks where we’ll write our first lines of code, and reviewing some key Python data types and properties.
From there we’ll dive into foundational tools like variables, numeric and string operators, conditional logic, loops, functions and more. You’ll learn how to create and manipulate raw data, define conditional logic, loop through iterables or indices, and extract values stored in a wide variety of data types including dictionaries, lists, tuples, and more.
Throughout the course you’ll play the role of a Data Analytics Intern for Maven Ski Shop, the world’s #1 store for skis, snowboards and winter gear. Using the skills you learn throughout the course, you’ll help the Maven team track inventory, pricing, and sales performance using Python.
Last but not least, we’ll practice importing and manipulating data from an Excel workbook using the openpyxl package, and bring it all together with a final course project.
If you’re a data analyst or business intelligence professional looking to add Python to your skill set, this is the course for you.
Curriculum
Meet your instructors
Chris Bruehl
Analytics Engineer & Lead Python Instructor
Chris is a Python expert, certified Statistical Business Analyst, and seasoned Data Scientist, having held senior-level roles at large insurance firms and financial service companies. He earned a Masters in Analytics at NC State's Institute for Advanced Analytics, where he founded the IAA Python Programming club.
Student reviews
Excellent introductory course, which gives you every tool you need to understand fundamental Python concepts and packages. Chris Bruehl is a great addition to an already outstanding team – 5 stars fully deserved!
Enrico G.
Love the breakdown of the course, learn the basic of Python for data analysis. However, I will go back and relearn the basic of Python itself to understand Python as a whole before I proceed to the Pandas course.
Fauzan Ghazi
This course was a useful refresher in the Python language. I found the lessons enjoyable and really enjoyed the assignments and the final project. The final project was a suitable challenge that built on what Chris taught during the course. I found the section on manipulating Excel sheets to be of great interest. And I will plan on using the power of python to clean the data in Excel workbooks before I import them into a data analysis tool.
Andrew Hubbard
Included learning paths
Course credential
You’ll earn the course certification by completing this course and passing the assessment requirements
Python Foundations for Data Analysis
Python Foundations for Data Analysis
CPE Accreditation
CPE Credits:
19
Field of Study:
Information Technology
Delivery Method:
QAS Self Study
Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.
For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.
*Last Updated: May 25, 2023
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