DATA SCIENCE

Explore data.
Find meaningful patterns.

Build practical foundations in Python, statistics, data preparation and exploratory analysis to understand what data can tell you.

Explore curriculum Course details

FormatIndependent courseLearning stylePractical & project-orientedAccessLearn at your pace

Data Science workspaceLEARN → APPLY

TOOLPython

TOOLPandas

TOOLStatistics

PRACTICAL LEARNINGBuild capability through application.

Learn concepts, work with data and apply what you understand.

WHAT YOU'LL BUILD

Skills you can
actually use.

Focused learning designed around understanding, practice and application.

Python for data

Use Python fundamentals in a data-focused workflow.

Data preparation

Load, clean and reshape datasets for exploration.

Exploratory analysis

Investigate distributions, relationships and useful patterns.

Statistical thinking

Use core statistical ideas to reason more carefully about data.

CORE TOOLKIT

Work with the tools behind the workflow.

PYPythonWork with data in codePDPandasPrepare & explore datasetsSTStatisticsReason about patterns

CURRICULUM PREVIEW

Structured learning.
Practical direction.

This is the course direction; detailed lessons can be managed in the LMS as final content is produced.

MODULE 01Data science foundationsUnderstand the workflow, problem framing and data types.Foundation

MODULE 02Python for data workCore Python concepts used for analysis.Python

MODULE 03Pandas & data preparationLoad, clean, transform and inspect datasets.Pandas

MODULE 04Exploratory data analysisSummaries, distributions, relationships and visualization.EDA

MODULE 05Applied data exploration projectBring the workflow together on a realistic dataset.Project

PROJECT-ORIENTED LEARNING

Apply what
you learn.

Use a realistic problem to connect concepts, tools and decisions.

EXAMPLE PROJECT DIRECTION

Exploratory analysis of a real-world dataset

Data→Explore→Build→Evaluate

Project scope can evolve as the final curriculum is produced.

WHO IT'S FOR

Choose this course if it matches the skill you want to build.

StudentsBuild a practical base for further data work.

AnalystsAdd Python and statistical exploration to your toolkit.

Career switchersDevelop structured foundations for data-focused roles.

DevelopersMove from general coding toward data-oriented problem solving.

COURSE FAQ

Before you begin.

Is this a separate course?

Yes. Data Science is offered independently and is not part of a forced bundle.

Do I have to complete another eLearningz course first?

No. It is independent. Helpful prerequisites will be stated clearly in the final course, but Data Analytics is not a mandatory eLearningz prerequisite.

Is this a subscription?

No. eLearningz is being built around individual course enrollment.

Will there be practical work?

Yes. The course direction includes exercises and project-oriented application.

INDIVIDUAL COURSE

Ready to learn this skill?

Enrollment will open when this course is published in the LMS catalog.

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Explore data.Find meaningful patterns.

Skills you canactually use.