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You wish to learn how to code (with one of the most popular programming languages!)
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You want to learn and use the popular pandas library to import, clean, subset, combine, and analyze data
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You currently work with spreadsheets and need to process larger amounts of data in a more programmatic way
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You wish to become a backend developer, data analyst, data scientist, or machine learning engineer
Anaconda Certified: Python Fundamentals for Data Analysis
Enhance your technical skills and open new opportunities with Anaconda's conda Fundamentals certification, focusing on environment management and packaging skills.
By the end of this certification program, you’ll learn:
Foundations of Python
How to create pandas datasets from other Python data types
How to subset, filter, and combine DataFrames together
Application of descriptive statistics, aggregate functions, and “group by” to view different dimensions of data
Introduction to Python Programming: Strings
A string in Python is a data structure representing a sequence of characters and is an essential data type for working with textual information, enabling tasks like text manipulation, data parsing, and string pattern matching.
Introduction to Python Programming: Numbers
In Python, "numbers" refer to the data types used for representing numerical values in various forms. This course will explore Python's different numerical data types, such as integers and floats, as well as math operators.
Introduction to Python Programming: Bools
Python Boolean or Bool is a data type used to represent the truth value of an expression. Bools are essential for creating conditions and making comparisons. This course will cover how to create logical expressions using comparison and logical operat
Introduction to Python Programming: Collections
Python "collections" are specialized container data structures designed to hold and manage multiple items or elements and provide different ways of organizing, storing, and manipulating data. This course will cover collection types including lists, d
Introduction to Python Programming: Imports
In Python, "imports" refer to the process of bringing code from external modules or libraries into your current program, allowing you to use functions, classes, and variables defined in those modules. Imports are a crucial Python feature that enables
Introduction to Python Programming: Functions
A Python function is a block of organized, reusable code designed to perform a specific task or a set of related tasks. Functions provide a way to structure your code into smaller, manageable pieces, making it easier to read, understand, maintain, an
Introduction to Python Programming: Rules
In Python, control flow refers to the order in which statements are executed, and conditional statements or rules allow you to make decisions and execute specific code blocks based on certain conditions. This course will cover if, else, and elif cond
Introduction to Python Programming: Repeats
Repeating code in Python refers to the process of executing a certain block of code multiple times, which is achieved using loops. Loops allow you to iterate over a sequence of values or perform a specific task repeatedly until a certain condition is
Introduction to Python Programming: Errors
Python errors, or exceptions, are problems that occur during the code execution, preventing the normal flow of the Python program. When an error occurs, Python raises an exception, which is a special object that contains information about the error.
Introduction to Python Programming: Classes
Python "classes" are a fundamental concept in the object-oriented programming (OOP) framework, which focuses on organizing data and code into reusable and self-contained units called "objects." A "class" is a user-defined data type that encapsulates
Introduction to Python Programming: Practice Quiz
Attempt this practice quiz to test your newly acquired knowledge.
Introduction to pandas for Data Analysis
Building a foundation in Python using pandas dataframes for analysis.
Python Fundamentals for Data Analysis
Successfully complete the exam to receive the Python Fundamentals for Data Analysis certificate.
Become Anaconda Certified
Complete all courses and pass the exam to claim your certificate.
This is for you because...
Prerequisites
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Get Started with Anaconda course (optional)
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Proficiency with a programming language is helpful but not essential
INSTRUCTOR
Max Humber
Max is a Senior iOS Engineer at National Hockey League (NHL), and the creator of gazpacho, gif, and GRAPHIITE.
INSTRUCTOR
Ryan Orsinger
Ryan is the Director of Data Science and Research at Haven for Hope. He previously taught data science and software development at Codeup.
Frequently Asked Questions
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What is the expected time to complete the exam?
The exam contains 50 multiple-choice questions. We anticipate you taking approx. 1 minute per question. Therefore, you should be able to attempt all questions within an hour or so. Note that the exam itself is not timed. You will see the following instruction before starting the exam: "The exam should be completed in one session, rather than pausing and resuming."
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Can I refer to study materials during the exam?
The exam is closed book. Our Exam Instructions explicitly state the following: "This is an individual exam, and collaboration or seeking external assistance is strictly prohibited. / Do not attempt to copy, print, or save any exam questions or materials."
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Is there a validity period for the certification?
The certification does not have an expiration date. However, the content and practices covered by the certification reflect the latest Python best practices at the time. If there are updates required due to marketing or technical advancements, the certification/product might be retired and/or replaced.
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Will there be someone monitoring the exam?
No, the exam is not proctored.
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Can I take the exam from home?
You will take the exam remotely, whenever you're ready, using your own computer or laptop. Our Exam Instructions state the following: "Ensure that you have a stable internet connection throughout the duration of the exam. / Use a desktop or laptop computer for optimal compatibility. Mobile devices and tablets are not recommended."
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How do I add the certification to my LinkedIn profile?
Once you successfully pass the exam, visit My Certificates. Click on View certificate for this certification program. You will see an option there for sharing your certificate on LinkedIn.