Python for Data Analysis Training Course

Training Skills

• Module 1: Introduction to Python 05:00

  • 1: Introduction to Python 05:00

• Module 2: Data Structures in Python 08:33

  • 2: Data Structures in Python 08:33

• Module 3: Control Flow and Functions 06:00

  • 3: Control Flow and Functions 06:00

• Module 4: Working with Libraries 07:58

  • 4: Working with Libraries 07:58

• Module 5: Data Cleaning and Preparation 05:00

  • 5: Data Cleaning and Preparation 05:00

• Module 6: Data Analysis with Pandas 08:33

  • 6: Data Analysis with Pandas 08:33

• Module 7: Data Visualization 05:00

  • 7: Data Visualization 05:00

• Module 8: Working with External Data 09:03

  • 8: Working with External Data 09:03

• Module 9: Statistical Analysis 05:00

  • 9: Statistical Analysis 05:00

• Module 10: Applied Data Analysis Projects 08:53

  • 10: Applied Data Analysis Projects 08:53

The Python for Data Analysis course begins with Python fundamentals, including data structures, control flow and functions. You will explore how these building blocks support the organisation and processing of information. The course also introduces Python libraries, helping you understand how existing tools can extend the language's capabilities for different data-related tasks.

You will then study data cleaning and preparation, followed by analysis using Pandas. These topics introduce ways to organise datasets, work with tabular information and prepare data for interpretation. Data visualisation is also covered, showing how charts and graphical representations can help communicate patterns, comparisons and findings more clearly.

The final modules explore external data, statistical analysis and applied data analysis projects. This learning pathway develops your understanding of how Python supports the stages of a data analysis task, from preparing information to interpreting results. The content provides a foundation for further exploration of analytics, reporting and data science.

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 developing their understanding of data science concepts.

• Professionals who want to learn more about data handling and reporting.

• Business learners interested in data-driven decision-making.

• Aspiring data analysts exploring relevant programming skills.

• Individuals considering further learning in analytics or technology.

No formal qualifications or previous Python for Data Analysis experience are required. You will need:

• An interest in programming, data or technology.

• Basic computer literacy and a willingness to learn.

• A computer or suitable device with internet access.

• A reliable internet connection to access the online learning materials.

• No previous Python experience is necessary, although basic familiarity with spreadsheets may be helpful.

• Junior Data Analyst: £25,000–£35,000 per year

• Data Analyst: £30,000–£45,000 per year

• Business Intelligence Analyst: £32,000–£50,000 per year

• Reporting Analyst: £28,000–£42,000 per year

• Junior Data Scientist: £30,000–£45,000 per year

• Data Quality Analyst: £27,000–£40,000 per year

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