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5 Jul 2025

Python for Data Science

Demonstrated alignment between this curriculum and current professional development trends.

Learn to harness the power of Python for data analysis, visualization, and machine learning. Develop practical skills with pandas, NumPy, Matplotlib, and scikit-learn to extract insights from data and build predictive models.

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0 Students
3:20 Hours
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Professional Curriculum Analysis Alignment Index: 94%

What Will You Learn?

NumPy fundamentals
Pandas for data manipulation
Data visualization techniques
Statistical analysis basics
Machine learning introduction
Data cleaning methods
Feature engineering
Model evaluation
Real-world datasets
Project workflow

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1 update.certificates

About This Course

AI Strategic Summary

"This curriculum provides a structured approach to mastering professional competencies through practical implementation and validated theoretical frameworks."

This comprehensive course will equip you with the Python programming skills and data science tools needed to analyze complex datasets and extract meaningful insights. You'll learn how to manipulate data, create visualizations, and build machine learning models using Python's powerful libraries.

Starting with Python fundamentals, you'll progress to data manipulation with pandas, numerical computing with NumPy, data visualization with Matplotlib and Seaborn, and machine learning with scikit-learn. You'll work with real-world datasets to solve practical problems and develop a portfolio of data science projects.

By the end of the course, you'll have the skills to perform exploratory data analysis, create compelling visualizations, and implement machine learning algorithms. Whether you're looking to start a career in data science or enhance your current role with data analysis skills, this course provides the foundation you need to succeed.

Requirements

Curiosity about data analysis
No prior data science experience
Jupyter Notebook installed
Understanding of math concepts
Basic Python knowledge

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Curriculum Overview
4 update.chapters 0 Lessons 0
Pedagogical Logic

The curriculum is structured to transition from foundational concepts to advanced implementation, ensuring coherent knowledge development.

Strategic Certificate Analysis

"Validates specialized professional competency and practical implementation capability."

Course Certificate

If you pass all the lessons in this course, you will receive this certificate.

Type Course Certificate

Instructor

Linda Anderson
I am a programmer with over 12 years' experience gained in a range of industries, the last 16 with IBM. I am now self employed developing apps for Android; programming in a range of languages including Java, Javascript and Python; and helping the next generation of programmers gain the skills that I have acquired over the years. The first program I sold controlled stock movement in a warehouse, and ran on a CP/M computer - both the program and operating system lived in the 64 kb (yes, kilobytes) that was all CP/M systems had in those days. I have gained experience in a wide range of industries including Utilities, Retail, Insurance and the Motor Manufacturing industry. My clients and employers have included Northumbrian Water, Arcadia, Royal Sun Alliance, Nissan and Jaguar Landrover. I also worked for Sunderland University for 3 years preparing and delivering training courses in computing. Times have changed, the challenges are very different to what they were, but programming remains fun! When not at my computer, I am often riding my motorbike through the wonderful countryside of the UK and Europe.
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