Python for Data Analysts

Course Details

Description

Module 1: Introduction to Programming with Python

Getting Started with Python; Performing Operations with Complex Data Types; Working with “If” Statements, Loops, and Comprehensions; Defining, Configuring, and Invoking Functions; Leveraging Functions with Lambdas, Generators, Closures, and
Decorators

Module 2: Python for Data Science

Introduction to NumPy for Multi-dimensional Data; Advanced Operations with NumPy Arrays; Manipulating and Analysing Data in Pandas Dataframes; Data Wrangling with Pandas; Data Visualisation Using Seaborn
Module 3: Operations with petl Petl: Introduction; Basic Data Transformations; Advanced Extractions and Transformations

Module 4: Data Science Statistics

Using Python to Compute and Visualise Statistics; Applied Inferential Statistics

Who is this course for?

This course is for those who are interested in learning the Python programming language specifically for applications in data analysis and data science.

Requirements

Strong critical-thinking and problem-solving skills, a strong background in mathematics (e.g., advanced algebra), and some experience with coding.

What You'll Achieve with Our Courses?

Career Growth

Move forward in your profession with skills that open real job opportunities.

Personal Mastery

Build confidence and habits that improve both your life and mindset.

Efficiency

Learn faster with concise modules and hands-on application.

Global Connections

Join an international community to learn, share, and grow together.

Recognised Certificate

Get a professional certificate that validates your efforts and skills.

Flexibility

 Study at your own pace, anytime, anywhere.

FAQ

What makes BrainLearn courses different?

Our courses combine expert-led content, real-world practice, and efficiency-driven design so you learn quickly and retain more.

Yes! Each course ends with a professional certificate you can use for your CV or LinkedIn.

That depends on your pace—our courses are flexible. With just a few hours per week you can make steady progress.

Absolutely. You can learn on desktop, tablet, or mobile—wherever and whenever suits you best.

Yes, BrainLearn includes mentorship and a global community where you can ask questions and exchange ideas.

No worries: since the path is self-paced, you can catch up on your own schedule without any penalties.

Explore the course descriptions, check the learning outcomes, or reach out to us—you’ll also find popular courses highlighted to help you choose.

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