intermediate

Deep Dive into Numpy and Pandas

Data Science

6 courses

117 practices

15 hours

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.

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Earn a shareable

Certificate of Achievement

Verified skills you'll gain

DEVELOPING

Coding and Data Algorithms

INTERMEDIATE

Exploratory Data Analysis and Visualization

INTERMEDIATE

Data Cleaning and Preprocessing

Tools you'll use

Numpy

Pandas

Python

Trusted by learners working at top companies

6 lessons

24 practices

NumPy Basics

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.

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5 lessons

25 practices

Pandas Basics and DataFrame Manipulation

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.

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4 lessons

20 practices

Introduction to Data Cleaning and Transformation

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.

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4 lessons

17 practices

Advanced Data Analysis with Pandas

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.

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4 lessons

16 practices

Data Transformation Techniques in Pandas

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.

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4 lessons

15 practices

Comprehensive Data Wrangling and Analysis with Pandas and Numpy

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.

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Our built-in AI guide and tutor, Cosmo, prompts you with challenges that are built just for you and unblocks you when you get stuck.

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