Data Analysis with Python Job Preparation Complete Course

Cambridge Open Academy

Certificate of Completion (Hard Copy)

Hard copy certificate - Included

Certificate of Completion (PDF)

Digital certificate - Included

Mock Exam & Final Exam

Included in course price

The Data Analysis with Python Job Preparation Complete Course is designed for those aiming to build careers in healthcare, technology, and business through the power of data analysis. In a world where data analysis drives every decision, this programme ensures you master the theoretical frameworks that make data analysis indispensable across multiple industries.

With structured modules in Python, machine learning, R, Tableau, SQL, and statistics, you will explore how data analysis connects with predictive modelling, reporting, and healthcare management. The course also includes healthcare-oriented modules such as infection control, radiography, and clinical coding, ensuring that learners understand how data analysis applies directly to healthcare environments. Alongside technical learning, essential soft skills in negotiation, communication, and emotional intelligence highlight how data analysis roles benefit from clear decision-making and teamwork.

This course is your pathway to entering one of the fastest-growing career areas in the UK. Whether your goal is to contribute to healthcare improvements, optimise business efficiency, or advance technological systems, data analysis will be your most valuable skill. Begin your journey today and take a decisive step into a secure and rewarding career with data analysis.

Course Curriculum:

» Course 01: Data Manipulation in Python: Master Python, Numpy & Pandas

• Python Quick Refresher (Optional)
• Essential Python Libraries for Data Science
• Fundamental NumPy Properties
• Mathematics for Data Science
• Python Pandas DataFrames & Series
• Data Cleaning
• Data Visualization using Python
• Exploratory Data Analysis
• Time Series in Python

» Course 02: Python for Data Visualization: The Complete Masterclass

• Setup & Installation
• Plotting Line Plots with matplotlib
• Plotting Histograms & Bar Charts with matplotlib
• Plotting Stack Plots & Stem Plots
• Plotting Scatter Plots with matplotlib
• Time Series Data Visualization with matplotlib
• Creating multiple subplots
• Plotting charts using seaborn
• Plotly and Cufflinks

» Course 03: Python for Data Science & Machine Learning: Zero to Hero

• Introduction
• The Must-Have Python Data Science Libraries
• NumPy Mastery: Everything you need to know about NumPy
• DataFrames and Series in Python's Pandas
• Data Cleaning Techniques for Better Data
• Exploratory Data Analysis in Python
• Python for Time-Series Analysis: A Primer
• Python for Data Visualisation: Library Resources, and Sample Graphs
• The Basics of Machine Learning
• Simple Linear Regression with Python
• Multiple Linear Regression with Python
• Classification Algorithms: K-Nearest Neighbors
• Classification Algorithms: Decision Tree
• Classification Algorithms: Logistic regression
• Clustering
• Recommender System
• Conclusion

» Course 04: Machine Learning Course with Python

• Section 01: Introduction to Machine Learning
• Section 02: Setting Up Python & ML Algorithms Implementation
• Section 03: Simple Linear Regression
• Section 04: Multiple Linear Regression
• Section 05: Classification Algorithms: K-Nearest Neighbors
• Section 06: Classification Algorithms: Decision Tree
• Section 07: Classification Algorithms: Logistic regression
• Section 08: Clustering
• Section 09: Recommender System
• Section 10: Conclusion

» Course 05: Basic Data Analysis

• Module 01: Introduction
• Module 02: Agenda and Principles of Process Management
• Module 03: The Voice of the Process
• Module 04: Working as One Team for Improvement
• Module 05: Exercise: The Voice of the Customer
• Module 06: Tools for Data Analysis
• Module 07: The Pareto Chart
• Module 08: The Histogram
• Module 09: The Run Chart
• Module 10: Exercise: Presenting Performance Data
• Module 11: Understanding Variation
• Module 12: The Control Chart
• Module 13: Control Chart Example
• Module 14: Control Chart Special Cases
• Module 15: Interpreting the Control Chart
• Module 16: Control Chart Exercise
• Module 17: Strategies to Deal with Variation
• Module 18: Using Data to Drive Improvement
• Module 19: A Structure for Performance Measurement
• Module 20: Data Analysis Exercise
• Module 21: Course Project
• Module 22: Test your Understanding

and more with other courses.

Our Specialised Delivery Method:

• Learn by Doing: Interactive activities keep you engaged.
• Go Mobile: Works on any device, no downloads needed.
• Easy to Use: Simple design for all learners.
• Track Progress: Stay motivated with clear progress tracking.
• Visually Appealing: Enjoyable learning experience.

Join us today to unlock the potential of your Data Analysis skills and elevate your career to new heights.

• Individuals seeking careers in data analysis within healthcare.
• Professionals aiming to enhance decision-making through data analysis.
• Graduates entering roles that require data analysis knowledge.
• Career changers looking to specialise in data analysis.

• No prior knowledge needed
• Compatible with any internet-enabled device, including computers, tablets, and smartphones.
• Consistent learning experience
• Accessible anywhere, anytime
• No limitations on access
• Use Wi-Fi or mobile data

• Data Analyst – £25,000 to £40,000 per year
• Business Intelligence Analyst – £28,000 to £45,000 per year
• Data Scientist (Entry Level) – £30,000 to £50,000 per year
• Python Programmer – £27,000 to £42,000 per year
• Operations Analyst – £24,000 to £38,000 per year
• Data Reporting Specialist – £23,000 to £37,000 per year

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