This learning path is crafted for those seeking a deep understanding of Numpy and Pandas, two cornerstone libraries in data science. These courses will immerse you in the powerful features of Numpy for numerical computing and Pandas for data manipulation.
This course introduces you to the powerful NumPy library, which is the backbone for numerical and scientific computations in Python. You will learn how to create, manipulate, and operate on arrays, understand their key properties, and use array-based operations for efficient computations.
Comprehensive Data Wrangling and Analysis with Pandas and Numpy
4 lessons
Turn screen time into skills time
Practice anytime, anywhere with our mobile app.
Join the 1M+ learners on CodeSignal
Be a part of our community of 1M+ users who develop and demonstrate their skills on CodeSignal
From our community
Hear what our customers have to say about CodeSignal Learn
I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!
Francisco Aguilar Meléndez
Data Scientist
+11
I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.
Faith Yim
Software Engineer
+14
It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.
Alex Bush
Full Stack Engineer
+9
I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.
Abbey Helterbran
Tech consultant
+8
I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.
Jonathan Miller
Senior Machine Learning Engineer
+12
I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!
Francisco Aguilar Meléndez
Data Scientist
+11
25 practices
This course gently introduces you to the world of data manipulation using Pandas, how to load datasets, view their basic characteristics, and perform simple operations. Each code example progressively adds a new skill, aimed at beginners ready to explore data analysis with real-world datasets.
Dive deeper into data selection and manipulation, learning how to filter datasets based on specific conditions, clean data by handling missing values, and create new derived features from existing data. Each step builds your skillset, preparing you to tackle more complex data cleaning challenges.
Elevate your data analysis skills by mastering advanced Pandas functionalities, including multi-level indexing, merging datasets, and performing sophisticated group-by operations. This course helps you unlock the true potential of your data through more intricate analysis techniques.
This course focuses on transforming your data to better suit analysis needs, including handling categorical data, performing date and time manipulations, and applying advanced filtering and sorting techniques. Through hands-on examples, you'll learn to reshape your datasets for optimized analysis.
This advanced course synthesizes all previous concepts, focusing on intricate data wrangling, analysis, and transformation techniques using Pandas and Numpy. You'll learn to execute complex groupings, pivot table manipulations, and merging datasets for richer insights. The capstone project solidifies these skills, enabling you to conduct sophisticated data analysis tasks efficiently.
