Your Learner Verification
This is to verify that Niza Tembo has completed the course Diploma in Advanced Python for Data Analysis on Alison.
Niza Tembo
Alison ID: 24590324
Course Completed: Diploma in Advanced Python for Data Analysis
Date of Completion: 5th November 2026
Email: [email protected]
Total Study Time: 1h 57m
Final Assessment Score:
Alison courses requires at least
70% to pass the final assessment
96%
CPD Hours Completed:
CPD approved learning hours
completed through this course
1-2h
Course Information
Master essential tools to manipulate, analyse, and gain actionable data insights with this free online course.
Ever wondered why working with data can feel harder than it should? Raw files can be messy, confusing and full of missing or incorrect information. Finding useful answers takes more than simply opening a spreadsheet. You need the right tools and a clear way to explore what your data is really saying.
This course helps you build practical Python data analysis skills step by step. You will learn how to work with NumPy and Pandas, load real data, fix common problems, combine information and uncover useful patterns. You will also develop data cleaning and visualisation skills to present your findings clearly.
By the end, you will be able to take raw data and turn it into clear, useful information. You will clean and organise datasets, compare results, create meaningful charts and explore relationships between different factors. You will also complete a capstone project that puts your new skills into practice. This course content was created in partnership with Gagik Khalafyan, a data scientist (machine learning, NLP, LLMs) . The authors generated this text with the help of ChatGPT. After drafting, the authors and subject matter experts reviewed, edited, and revised the text to ensure it was correct and meets Alison’s high-quality standards. Join now and learn to clean and visualise data.
Modules Completed
Module 1: NumPy and the Data Stack
Module 2: Introduction to pandas
Module 3: Loading and Exploring Real Data
Module 4: Diploma in Advanced Python for Data Analysis- First Interim Assessment
Module 5: Cleaning and Preparing Data
Module 6: Reshaping and Combining Data
Module 7: Grouping, Aggregating, and Summarising
Module 8: Diploma in Advanced Python for Data Analysis- Second Interim Assessment
Module 9: Visualising Data
Module 10: EDA Workflow and Capstone
Module 11: Python Data Analysis with NumPy and Pandas - Final Assessment
