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Self-paced course
Self-paced course
Python Foundations for Data Analysis
Python Foundations for Data Analysis
Rating 4.7
285 reviews
285 reviews
285 reviews
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
28.5 video hours
Skills you'll learn in this course
Write clean Python syntax, control flow & reusable functions
Explore datasets in Jupyter using pandas & NumPy
Visualize results with matplotlib & seaborn basics
Build a reusable Python toolkit for any data project
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
✨ "It was a great experience learning Python for Data Analysis! I especially enjoyed solving exercises and working through the final project. It really boosted my confidence in solving logical problems and applying what I’ve learned to real-world data." 💪📊
asad
My skills have been grown up during this course
Amr Mohamed
I found the Python Foundations for Data Analysis course to be extremely helpful in developing my data analysis skills. The instructor's expertise and engaging teaching style made the complex concepts easy to understand. The course materials were well-organized and provided ample practice opportunities. I'm now confident in using Python for data manipulation, analysis, and visualization.
Sonika
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:
0
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
1
Orientation & Benchmark Assessment
1
Orientation & Benchmark Assessment
1
Orientation & Benchmark Assessment
2
Getting Started
2
Getting Started
2
Getting Started
3
Why Python for Analytics?
3
Why Python for Analytics?
3
Why Python for Analytics?
4
Jupyter Notebooks
4
Jupyter Notebooks
4
Jupyter Notebooks
5
Python Data Types
5
Python Data Types
5
Python Data Types
6
Variables
6 MIN
6 MIN
6 MIN
6 MIN
6
Variables
6 MIN
6 MIN
6 MIN
6 MIN
6
Variables
6 MIN
6 MIN
6 MIN
6 MIN
7
Numeric Data
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
7
Numeric Data
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
7
Numeric Data
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
8
Strings
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
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6 MIN
6 MIN
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6 MIN
8
Strings
6 MIN
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8
Strings
6 MIN
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9
Conditional Logic
6 MIN
6 MIN
6 MIN
6 MIN
9
Conditional Logic
6 MIN
6 MIN
6 MIN
6 MIN
9
Conditional Logic
6 MIN
6 MIN
6 MIN
6 MIN
10
Sequence Data Types
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
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10
Sequence Data Types
6 MIN
6 MIN
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10
Sequence Data Types
6 MIN
6 MIN
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11
Loops
6 MIN
6 MIN
6 MIN
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11
Loops
6 MIN
6 MIN
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6 MIN
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11
Loops
6 MIN
6 MIN
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12
Dictionaries & Sets
6 MIN
6 MIN
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12
Dictionaries & Sets
6 MIN
6 MIN
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12
Dictionaries & Sets
6 MIN
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13
Functions
6 MIN
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13
Functions
6 MIN
6 MIN
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6 MIN
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6 MIN
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6 MIN
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13
Functions
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
6 MIN
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14
Manipulating Excel Sheets
6 MIN
6 MIN
6 MIN
14
Manipulating Excel Sheets
6 MIN
6 MIN
6 MIN
14
Manipulating Excel Sheets
6 MIN
6 MIN
6 MIN
15
Final Project
15
Final Project
15
Final Project
16
Final Assessment
6 MIN
16
Final Assessment
6 MIN
16
Final Assessment
6 MIN
17
Course Feedback & Next Steps
17
Course Feedback & Next Steps
17
Course Feedback & Next Steps
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
✨ "It was a great experience learning Python for Data Analysis! I especially enjoyed solving exercises and working through the final project. It really boosted my confidence in solving logical problems and applying what I’ve learned to real-world data." 💪📊
asad
My skills have been grown up during this course
Amr Mohamed
I found the Python Foundations for Data Analysis course to be extremely helpful in developing my data analysis skills. The instructor's expertise and engaging teaching style made the complex concepts easy to understand. The course materials were well-organized and provided ample practice opportunities. I'm now confident in using Python for data manipulation, analysis, and visualization.
Sonika
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:
0
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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