Chegg Skills

Python for Data Analytics and Engineering Specialization

Chegg Skills

Python for Data Analytics and Engineering Specialization

Build Data Engineering Skills with Python.

Build practical Python, development, and data engineering skills for real-world data workflows.

Barry Finder

Instructor: Barry Finder

Access provided by SGCSRC

Get in-depth knowledge of a subject
Beginner level

Recommended experience

12 weeks to complete
at 5 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

12 weeks to complete
at 5 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Use Python programming to solve practical problems and support data and development workflows.

  • Apply development tools and techniques to work with data, troubleshoot problems, and build technical solutions.

  • Apply data engineering concepts to prepare, manage, and support reliable data workflows for analysis and business use.

Details to know

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Taught in English
Recently updated!

September 2026

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Specialization - 3 course series

Practical Python Programming

Practical Python Programming

Course 1, 11 hours

What you'll learn

  • Write Python programs using foundational programming concepts and best practices.

  • Build reusable code with variables, functions, conditional logic, and loops.

  • Organize and manipulate data using Python collections, including lists, tuples, and dictionaries.

  • Develop the programming skills needed to pursue software development, data, AI, and automation pathways.

Skills you'll gain

Category: Computational Thinking
Category: Problem Solving
Category: Computer Programming
Category: Data Structures
Category: Computational Logic
Category: IT Automation
Category: Debugging
Category: Data Management
Category: Data Storage
Category: Python Programming
Category: Program Development
Category: Programming Principles
Category: Back-End Web Development
Category: Pseudocode
Category: Code Reusability
AI-Enabled Web Development Foundations

AI-Enabled Web Development Foundations

Course 2, 13 hours

What you'll learn

  • Build a strong foundation in Python programming using variables, data types, functions, collections, loops, and conditional logic.

  • Configure a professional development environment using Visual Studio Code, the terminal, and Google Colab.

  • Explain how Python supports modern web development through server-side programming, web frameworks, and AI-enabled applications.

  • Apply foundational programming concepts to develop simple Python programs for web development scenarios.

Skills you'll gain

Category: Server Side
Category: Python Programming
Category: Web Development
Category: Development Environment
Category: Software Development
Category: Web Development Tools
Category: AI Integrations
Category: Software Development Tools
Category: AI Enablement
Category: Application Frameworks
Category: Integrated Development Environments
Category: Web Applications
Category: Hypertext Markup Language (HTML)
Category: Javascript
Category: Front-End Web Development
Category: Cascading Style Sheets (CSS)
Category: Back-End Web Development
Category: Scripting
Category: Program Development
Category: Web Frameworks
Data Engineering with Python

Data Engineering with Python

Course 3, 15 hours

What you'll learn

  • Configure a Python development environment and use pandas to work with structured datasets.

  • Clean, transform, and prepare data by filtering records, handling missing values, and reshaping datasets.

  • Analyze and summarize data using Python and pandas to identify patterns and generate meaningful insights.

  • Apply Python programming techniques to support foundational data engineering workflows.

Skills you'll gain

Category: Data Quality
Category: Data Import/Export
Category: NumPy
Category: Statistical Analysis
Category: Data Manipulation
Category: Data Analysis
Category: Descriptive Statistics
Category: Data Wrangling
Category: Data Engineering
Category: Data Pipelines
Category: Data Cleansing
Category: Data Preprocessing
Category: Pandas (Python Package)
Category: Data Validation
Category: Python Programming
Category: Exploratory Data Analysis
Category: Package and Software Management
Category: Data Processing
Category: Statistics
Category: Data Transformation

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Instructor

Barry Finder
Chegg Skills
33 Courses529 learners

Offered by

Chegg Skills

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