Data Analysis with Pandas and Python [2026]
This product hasn't been reviewed yet! Be the first to share your experience.
Top alternatives
Reviews, Scores & Student Outcomes
Unclaimed ProfileData Analysis with Pandas and Python is a comprehensive guide designed to take you from a Python novice to a highly capable data analyst using the industry-standard Pandas library. Created by renowned instructor Boris Paskhaver, this course offers an in-depth exploration of data manipulation, cleaning, and analysis techniques. You will start with the fundamental building blocks, exploring one-dimensional Series and moving quickly into multi-dimensional DataFrames. The curriculum is meticulously structured to cover advanced operations such as filtering, sorting, grouping, pivoting, and merging disparate datasets. Real-world datasets are integrated throughout the lectures, ensuring that you gain practical, hands-on experience solving actual data challenges. Whether you are dealing with missing values, parsing date-time formats, or reshaping complex tables, this course equips you with the exact methods and attributes needed to streamline your workflow. By the end of this journey, you will possess the analytical mindset and programming skills required to confidently tackle data-driven roles, make informed business decisions, and automate tedious spreadsheet tasks using pure Python code.
About the creator
Boris Paskhaver
View full profileNot found
—
Reviews
Boris Paskhaver is a seasoned software engineer, author, and educator dedicated to making complex programming concepts accessible to learners worldwide. With a teaching philosophy rooted in completeness and clarity, Boris avoids shortcuts, choosing instead to explain every line of code, every parameter, and every architectural decision. Having instructed hundreds of thousands of students globally, he specializes in bridging the gap between theoretical computer science and practical, real-world software development. His courses, including comprehensive guides to Python, Ruby, and data analysis using Pandas, are designed for absolute beginners as well as intermediate developers looking to solidify their foundational knowledge. Boris believes…Show more
Ratings & reviews
This product hasn't been reviewed yet! Be the first to share your experience.
Not enough reviews yet
0 reviews
Rating breakdown
Results mentioned in reviews are individual experiences and are not guaranteed or typical.
Program Overview
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Master the differences between 1D Series and 2D DataFrames to store, slice, and manipulate complex structured datasets.
- Clean messy data by handling null values, removing duplicates, and converting data types for reliable analytical reporting.
- Apply advanced filtering, sorting, and conditional logic to isolate specific segments of data within large-scale datasets.
- Group, aggregate, and pivot dataset structures to extract meaningful statistical insights and construct summary tables.
- Merge, join, and concatenate multiple data sources into unified DataFrames to perform comprehensive cross-functional analysis.
- Utilize date-time tools in Pandas to perform time-series analysis, parse dates, and track trends over custom temporal intervals.
- Optimize performance and memory usage when working with massive datasets using built-in Pandas attributes and methods.
Best For
- Aspiring data analysts looking to automate spreadsheet tasks using Python.
- Python developers who want to specialize in data manipulation and cleaning.
- Business intelligence professionals seeking to transition from Excel to Pandas.
- Students preparing for data science roles that require strong data wrangling skills.
Not For
- Individuals with zero prior experience in basic Python syntax and programming logic.
- Advanced researchers seeking purely theoretical machine learning or predictive modeling content.
- Those looking for a quick overview of Data Science that skips deep-dive code instruction.
What's included
Still confused?
Get a reply from the creator within 24 hours.
Top alternatives
Compare Similar Python Programs
Not sure Data Analysis with Pandas and Python [2026] is the right fit? See how it stacks up against the top-rated alternatives in python, all rated by verified students.
More categories
Before you buy
Compare alternatives
See how Data Analysis with Pandas and Python [2026] stacks up against top-rated programs in python.
Compare nowRun a credibility check
Use AllPros Guru Detector to review trust signals before you spend.
Open Guru Detector