Pandas & NumPy Academy

Name: Pandas & NumPy Academy
Availability: InStock

PYTHONPythonDataData_science

Go from spreadsheets to production-grade data analysis. Master NumPy arrays, Pandas DataFrames, cleaning, groupby, merging, time series, and visualization in Python.

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Course Overview

Data Analysis: Pandas & NumPy

Go from spreadsheets to production-grade data analysis. Master NumPy arrays, Pandas DataFrames, cleaning, groupby, merging, time series, and visualization in Python. This track covers 30 progressive mini-courses from absolute beginner (A1) through advanced (B2), with short focused lessons and quick quizzes to lock in each concept.

What You Will Learn

You will start with the fundamentals and build up through intermediate and advanced topics, each course building on the last. Every lesson is practical, with real examples and an AI tutor available when you need help.

How It Works

Each course is broken into four focused lessons. Complete a few lessons a day and you will master the full track in weeks, not months.

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How You'll Learn

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Interactive Lessons

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Curriculum

30 Courses

Every course in the Pandas & NumPy Academy learning path.

NumPy Foundations

A14 lessons

Learn the core building block of scientific Python: the NumPy ndarray. You will create arrays from Python lists, understand shape and dtype…

NumPy Operations and Broadcasting

A14 lessons

Go beyond basic arithmetic by mastering NumPy's universal functions and broadcasting rules. You will apply ufuncs like np.sqrt and np.exp,…

Pandas Series

A14 lessonsPRO

Discover the Pandas Series: a one-dimensional labelled array that is the foundation of all Pandas data structures. You will build Series fr…

Pandas DataFrames

A14 lessonsPRO

The DataFrame is the workhorse of Pandas data analysis — a two-dimensional table with labelled rows and columns. This course teaches you to…

Reading and Writing Data

A14 lessonsPRO

Data analysis always starts with loading data and ends with saving results. This course covers the most common file formats — CSV, Excel, a…

Selection and Filtering

A24 lessonsPRO

Slice and dice your DataFrames with precision using Pandas boolean indexing, query strings, and compound conditions. You will extract exact…

Cleaning Missing Data

A24 lessonsPRO

Real-world datasets are never perfectly clean. This course teaches you to detect, quantify, remove, and fill missing values represented as…

Data Types and Casting

A24 lessonsPRO

Pandas infers column dtypes when loading data, but those inferences are often wrong. This course shows you how to inspect dtypes, convert b…

String Operations with Pandas

A24 lessonsPRO

Text data requires its own set of vectorized tools. The Pandas .str accessor gives you the full power of Python string methods applied acro…

Sorting, Ranking, and Indexing

A24 lessonsPRO

Controlling the order and index of your data is essential for readable outputs, efficient merges, and correct window calculations. This cou…

GroupBy and Aggregation

B14 lessonsPRO

GroupBy is one of Pandas' most powerful features, letting you split your data into groups and apply summary statistics in one line. This co…

Merging and Joining DataFrames

B14 lessonsPRO

Combine data from multiple tables the way SQL does, but entirely in Python. This course covers inner, left, right, and outer joins, plus co…

Reshaping Data: Pivot, Melt, Stack

B14 lessonsPRO

Tidy data principles require your data to be in a specific shape. This course teaches you to pivot wide-to-long and long-to-wide using pivo…

Time Series with Pandas

B14 lessonsPRO

Time-ordered data demands specialised tools for resampling, rolling calculations, and date arithmetic. This course equips you to work with…

Matplotlib Fundamentals

B14 lessonsPRO

Visualisation is inseparable from data analysis. This course introduces Matplotlib's Figure and Axes objects, giving you full control over…

Seaborn for Statistical Plots

B14 lessonsPRO

Seaborn wraps Matplotlib with a high-level interface designed for statistical graphics. You will create distribution plots, categorical com…

Exploratory Data Analysis Pipeline

B14 lessonsPRO

EDA is the detective work that precedes any modelling. This course gives you a systematic pipeline to profile a new dataset, identify probl…

Advanced Indexing Techniques

B14 lessonsPRO

Mastering Pandas indexing unlocks fast look-ups, efficient slicing, and clean multi-level summaries. This course covers MultiIndex creation…

Window Functions and Rolling Statistics

B14 lessonsPRO

Window functions compute statistics over a sliding or expanding range of rows, enabling moving averages, cumulative sums, and rank-within-g…

Pandas Performance Tips

B14 lessonsPRO

When DataFrames grow to millions of rows, naive code becomes a bottleneck. This course teaches you to profile Pandas code, avoid common slo…

Real Dataset: Sales Analysis

B24 lessonsPRO

Apply everything learned so far to a realistic retail sales dataset. You will clean raw order records, compute revenue by region and produc…

Real Dataset: User Behavior Analysis

B24 lessonsPRO

Analyse a simulated clickstream dataset to understand how users navigate a product. You will compute session lengths, funnel conversion rat…

Advanced Data Cleaning Techniques

B24 lessonsPRO

Beyond dropping NaN values, professional data cleaning tackles duplicates, outliers, inconsistent categories, and schema violations. This c…

Custom Aggregations with Apply

B24 lessonsPRO

When built-in aggregation functions are not enough, apply() lets you define any Python function and run it over rows, columns, or groups. T…

Building Data Pipelines

B24 lessonsPRO

Production data analysis is not a one-off notebook run; it is a repeatable pipeline. This course teaches you to structure your code as modu…

NumPy Advanced: Linear Algebra

B24 lessonsPRO

Many machine learning algorithms are expressed as linear algebra operations. This course covers NumPy's linalg module: matrix multiplicatio…

Handling Large Datasets with Chunking

B24 lessonsPRO

When a dataset is too large to fit in RAM, you need chunked processing strategies. This course teaches you to stream CSV files in chunks, a…

Pandas with SQL and Databases

B24 lessonsPRO

Most production data lives in relational databases, not CSV files. This course shows you how to query PostgreSQL and SQLite directly from P…

Statistical Analysis with SciPy

B24 lessonsPRO

Pandas describes data; SciPy tests hypotheses about it. This course introduces the most common statistical tests — t-tests, chi-squared, AN…

Capstone: End-to-End Data Project

B24 lessonsPRO

Bring together every skill from the track in a single end-to-end project: ingest raw data from a CSV and a database table, clean and merge…

FAQ

Frequently Asked Questions

Is the Pandas & NumPy Academy course free?

Yes. You can start the Pandas & NumPy Academy course for free and complete its interactive lessons at no cost. An optional PRO subscription unlocks advanced AI tools and a shareable certificate.

Do I need prior experience to learn PYTHON?

No. The course begins with the fundamentals and gradually moves to more advanced topics, so you can start even with no prior PYTHON experience.

How will I learn PYTHON on CoddyKit?

You learn by doing. Short interactive lessons pair a clear explanation with a hands-on coding exercise that runs in real time, and a 24/7 AI tutor gives personalized help whenever you get stuck.

Do I get a certificate for completing Pandas & NumPy Academy?

Yes. PRO learners can take an exam and earn a shareable certificate of completion with a verifiable code for the Pandas & NumPy Academy course.

Can I learn PYTHON on my phone?

Yes. CoddyKit is available on the web and as native iOS and Android apps, so you can learn PYTHON on any device and your progress syncs across them.

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