Data Analysis with Python Programming & Coding Level 3

Training Skills

• Module 1: Introduction to Python 06:48

  • 1: Introduction to Python 06:48

• Module 2: Data Structures in Python 06:00

  • 2: Data Structures in Python 06:00

• Module 3: Control Flow and Functions 08:09

  • 3: Control Flow and Functions 08:09

• Module 4: Working with Libraries 05:00

  • 4: Working with Libraries 05:00

• Module 5: Data Cleaning and Preparation 09:14

  • 5: Data Cleaning and Preparation 09:14

• Module 6: Data Analysis with Pandas 05:00

  • 6: Data Analysis with Pandas 05:00

• Module 7: Data Visualization 08:26

  • 7: Data Visualization 08:26

• Module 8: Working with External Data 05:00

  • 8: Working with External Data 05:00

• Module 9: Statistical Analysis 09:21

  • 9: Statistical Analysis 09:21

• Module 10: Applied Data Analysis Projects 05:00

  • 10: Applied Data Analysis Projects 05:00

This Data Analysis with Python Programming, Coding course introduces Python fundamentals, including data structures, control flow, functions and libraries. You’ll explore how these concepts support the organisation and processing of information, building a foundation for understanding how Python is used in data analysis and computational tasks.

You’ll examine data cleaning and preparation, followed by analysis using Pandas. The course also introduces data visualisation and external data sources, helping you understand how datasets can be organised, explored and presented. These topics provide insight into the stages involved in preparing information for meaningful analysis.

The final modules cover statistical analysis and applied data analysis projects. You’ll explore how statistical methods can help identify patterns and interpret findings, while learning about the broader process of drawing conclusions from data. This structured curriculum supports continued learning in Python, analytics and related technical disciplines.

Course Curriculum:

• Module 1: Introduction to Python

• Module 2: Data Structures in Python

• Module 3: Control Flow and Functions

• Module 4: Working with Libraries

• Module 5: Data Cleaning and Preparation

• Module 6: Data Analysis with Pandas

• Module 7: Data Visualization

• Module 8: Working with External Data

• Module 9: Statistical Analysis

• Module 10: Applied Data Analysis Projects

The materials are clear and structured so you can learn at your own pace. On successful completion, you’ll receive your free PDF certificate as evidence of the skills you’ve acquired.

This course is ideal for:

• Beginners interested in Python programming and data analysis.

• Students seeking to develop their understanding of coding and statistics.

• Professionals looking to expand their data-related knowledge.

• Aspiring data analysts exploring relevant technical concepts.

• Business and administrative staff interested in interpreting information.

• Learners considering further study in data science or programming.

No formal qualifications or previous Data Analysis with Python Programming, Coding experience are required. You will need:

• An interest in programming, data and analytical thinking.

• Basic computer literacy to access online learning materials.

• A computer or laptop, tablet or compatible device.

• A reliable internet connection.

• A willingness to explore coding concepts and statistical methods.

• Data Analyst: £28,000–£65,000 per year.

• Python Developer: £45,000–£95,000 per year.

• Data Scientist: £32,000–£83,000 per year.

• Business Analyst: £23,000–£55,000 per year.

• Data Analyst-Statistician: £28,000–£65,000 per year.

• Business Intelligence Analyst: £30,000–£70,000 per year.

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