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This Portfolio covers the following:
Projects
Certificates
Job Simulations
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Python Data Science Project
Imported relevant libraries and dataset
Performed Exploratory Data Analysis (EDA) - Discovery, Cleaning, Validation and Structuring
Data Visualisations to explore attributes and relationships
Simple Linear Regression model to predict a variable given another variable (including checking model assumptions)
K-Means Clustering model to organise the data into distinct groups
Random Forest Classification model to predict a feature of the dataset given a series of variables
Optimisation of models to improve performance
Evaluation of models to understand performance
List of insights discovered from exploratory data analysis and model creation
Power BI Data Analytics Project
Profiled, cleaned and transformed dataset through Power Query
Modelled dataset into a schema and managed relationships through cardinality and cross-filter direction
Utilised DAX to create calculated tables, columns and measures
Created, configured and formatted various visualisations to analyse the data
Implemented functionality which allows user to filter all data by year
Created reports and dashboard to provide a unified view of the visualisations
Created an optimised view for mobile device users
Excel Business Analysis Project
Imported supermarket dataset from web
Pre-processed and adjusted dataset
Performed various calculations to analyse the data
Created numerous graphs to present the data
Synthesised a dashboard incorporating different aspects of the analysis into one centralised view
Python Data Analysis Project
Imported relevant libraries and dataset
Data Exploration
Data Cleaning
Data Validation
Data Structuring
Data Visualisation with a variety of graphs
Dashboard Construction
Insights Summary
Tableau Business Analysis Project
Data Analysis Process - Prepare Data, Analyse Data, Develop Insights and Build Story
Pre-processing techniques - Rename Fields, Hide Fields, Edit Data Types, Split Data and Calculated Fields
Creation of visualisations and statistics - Bar Chart, Line Chart, Pie Chart, Table, Tree Maps, Heat Maps, Choropleth Maps, Dual-Axis Maps, Donut Chart, Histogram and Box Plots
Creation of interactive dashboards using visualisations and filters
Creating a story by combining dashboards and adding annotations
Image Processing and Pattern Recognition Project
This project involved training a model to classify the age of an individual given an input image
Many pre-processing technique were applied to the images including Histogram Equalisation, Gaussian Blur and High-Pass Filtering
The images were used to train three different machine learning algorithms: Convolutional Neural Network, Support Vector Machine and K-Nearest Neighbour
An analysis of the models was conduction to compare and contrast the performance of each pre-processing technique on each algorithm
The pre-processing and model creation was conducted through MATLAB
Two document were created; one for the planning and one for the results
Data Exploration and Machine Learning project
A spreadsheet of medical data was explored, trained and analysed
A thorough exploration of data was conducted to explore the nature of the dataset
Data preprocessing was used to filter the raw data
A series of classification algorithms were applied - Decision tree, KNN, Random Forest, SVM and Neural Network
An analysis of the best classifier was conducted
KNIME was used to conduct exploration, pre-processing and classification
Introduction to Data Analytics Part 1 - Exploration and Pre-processing
Introduction to Data Analytics Part 2 - Classification and Analysis
UX Design Project
The project involved designing a mobile banking interface targeted towards a younger generation
All 5 stages of the design thinking process were completed in detail: Empathise, Define, Ideate, Prototype and Test
Empathise: User Research, Persona, User Journey Map
Define: Problem Statement
Ideate: Competitor Analysis, Wireframes
Prototype: Low-Fidelity and High-Fidelity Prototypes
Test: Usability Studies, Affinity Diagrams
A Case Study Presentation was created which detailed the project
Interaction Design Project
Creation of persona to tailor product/interface
Creation of paper prototype
Observational study of prototype to assess design and usability
Evaluation of usability test to improve interface design
Data Analytics/Science
Google Advanced Data Analytics Professional Certificate (Data Science)
Foundation of Data Science
Data Science Workflow
Data Exploration and Cleaning
Data Visualisation (including Tableau)
Description and Inferential Statistics (Probability, Sampling, Confidence Intervals, Hypothesis Testing)
Regression (Simply Linear Regression, Mutliple Linear Regression, Chi-Squared, ANOVA, Logistic Regression)
Unsupervised Machine Learning (K-Means Clustering)
Supervised Machine Learning (Decision Tree, Random Forest (bagging), XGBoost (boosting))
Capstone Project to synthesise course contents
Google Advanced Data Analyst Professional Certificate (Data Science)
IBM Data Analyst Professional Certificate
Introduction to Data Analytics
Excel skills for Analysis and Visualisation
Basic Python skills - Pandas, Numpy, Matplotlib, Seaborn, Scikit-Learn
SQL and databases
Synthesis of skills to analyse and visualise a data analytics project
Power BI Data Analyst Professional Certificate
Preparing data for analysis using Microsoft Excel
Extract, transform and load data in Power BI
Modeling data in Power BI
Utilising DAX expressions for table, column and measure creation
Data visualisation and analysis in Power BI
Optimising charts, reports and dashboards in Power BI
Deploying and maintaining assets in Power BI
Tableau Business Intelligence Analyst Professional Certificate
Business Analysis Process
Data literacy + data ecosystem
Connecting to data sources in Tableau
Pre-processing data in Tableau
Creating simple visualisations in Tableau (Bar Charts, Line Charts, Pie Charts, Treemaps, Heat Maps, Area Charts, Chloropleth Maps, Density Maps)
Creating advanced visualisations in Tableau (Motion Chart, Dual-Axis Charts, Gantt Charts, Bar-In-Bar Charts, Donut Charts, Funnel Charts, Waterfall Charts, Sparklines, Advanced Map Techniques)
Data Analysis Process (Preparing Data, Analysing Data, Devloping Insights, Building Stories)
Identifying patterns and observations within data to convert into business insights.
Storytelling using data, visualisations and narrative techniques.
Tableau Business Intelligence Analyst Professional Certificate
Excel Skills for Business
Theory and practice based learning
Excel Skills for Business: Essentials
Excel Skills for Business: Intermediate I
Excel Skills for Business: Intermediate II
Excel Skills for Business: Advanced
AI Deep Learning Projects with TensorFlow
Introduction to Neural Networks (Text and Image Processing)
Text and Image Data Pre-Processing with Python
Building a Convolutional Neural Network using TensorFlow (Image Classification)
Evaluating and Testing the CNN Model
Power of Transfer Learning
Business
Management Consulting Specialisation
Introduction to Management Consulting
Consulting Jobs and Careers
Consulting Approach to Problem Solving
Consulting Tools and Tips
Consulting Presentations and Storytelling
Foundations of Strategic Internal Auditing
Foundations of Internal Auditing
Audit Planning and Risk Analysis
Audit Execution
Audit Reporting and Communication
Business Foundations Specialisation
Introduction to Marketing
Introduction to Financial Accounting
Introduction to Social and Human Capital
Introduction to Corporate Finance
Introduction to Operations Management
Business Strategy Specialisation
Foundations of Business Strategy - Introduction to Business Strategy, Analysing Industry Structure, Analysing Firm Capabilities, Determining Competitive Position
Advanced Business Strategy - Dynamic Strategy, International Strategy, Diversification Strategy, Stakeholder Strategy
Business Growth Strategy - Growth through Scaling, Growth through Entry, Growth through Acquisition, Growth through Innovation
Strategic Planning and Execution - Strategy Analysis, Strategy Formation, Strategy Implementation
Business Strategy Capstone
Strategic Leadership and Management Specialisation
Leading Teams: Developing as a Leader
Leading Teams: Building Effective Team Cultures
Designing the Organisation
Managing the Organisation
Business Strategy (Internal and External)
Corporate Strategy
Supply Chain Management Strategy
Supply Chain Logistics - Transportation, Inventory, Logistics Network
Supply Chain Operations - Lean, Six Sigma (DMAIC), Lean Six Sigma
Supply Chain Planning - Forecasting (Naïve, Cumulative Mean, Moving Average, Exponential Smoothing), Forecast Accuracy (Mean Error, Mean Absolute Percentage Error, Mean Squared Error)
Supply Chain Sourcing - Purchasing, Procurement, Make versus Buy, Supplier Selection, Supplier Management
Supply Chain Management Strategy - Capstone Project involving Logistics, Operations, Planning and Sourcing
Software Architecture/Cloud Architecture
IBM Systems and Solution Architect Professional Certificate
Introduction to Systems Architecture
IT Systems Design and Analysis
Project, Stakeholder and Requirements Management
Business Process Modeling, Analysis and Improvement
Cloud Native, Microservices, Containers, DevOps and Agile
Enterprise Data Architecture and Operations
Data Integration, Data Storage & Data Migration
Software Testing, Deployment and Maintenance Strategies
Cybersecurity Architecture
Systems and Solutions Architecture Capstone Project
AWS Cloud Solutions Architect Professional Certificate
Fundamentals of AWS Cloud - Global Infrastructure and Security
Fundamental Components - Compute, Storage, Networking
Optimisation and Monitoring of Components
Architecting Solutions on AWS
Building Data Lakes
Microsoft Azure Fundamentals Specialisation
Cloud Computing Fundamentals (Benefits, Service Models, Deployment Models)
Azure Compute (Virtual Machines, Azure Kubernetes Service, Azure Functions)
Azure Networking (Virtual Networks, Networking Security, Load Balancing)
Azure Storage (Blog, File, Table, Queue Storage)
Azure Management (Azure Portal, Azure CLI, Azure Powershell)
Azure Governance (Azure Policy, Azure Monitor)
Google Cloud Fundamentals: Core Infrastructure
Cloud Computing Overview
Security (Identity and Access Management)
Compute (Virtual Machines, Containers, Cloud Run)
Networking
Storage
Automation (Scalability and Load balancing)
IT - User Experience, Cybersecurity, Tech Support, Marketing and Project Management
Google UX Design Professional Certificate
Foundations of User Experience Design
Design Thinking Framework:
Empathise: Empathy Map, Personas, User Journey Map
Define: Problem Statement
Ideate: Competitive Audit, ‘How Can We’, Crazy 8s
Prototype and Test
Constructing Wireframes and Low-Fidelity Prototypes
Testing through Usability Studies
Constructing Mockups and High-Fidelity Prototypes
Designing both a mobile application and a website in Figma
Google Cybersecurity Professional Certificate
Foundations of Cyber Security
Managing Security Risks (Frameworks and Security Domains)
Networks and Network Security
Linux and SQL for Security
Assets, Threats, and Vulnerabilities
Detection and Response (including Incidence Response Lifecycle and SIEM tools)
Automate Cybersecurity Tasks with Python
Stakeholder Communication Strategies
Google IT Support Professional Certificate
Fundamentals of Tech Support
Computer Networking
Operating systems maintenance
System administration and management
Cybersecurity concepts and strategies
Google Digital Marketing & E-commerce Professional Certificate
Foundations of Digital Marketing and E-commerce
Attract and Engage Customers with Digital Marketing (SEO, SEM, Display Advertising)
Interact with Customers Online (Social Media Marketing, Paid Social Media)
Email Marketing (Techniques, Tools, Metrics)
Marketing Analytics and Measurement (Metrics, Insights, Google Analytics, Google Ads)
Build, Launch and Manage E-commerce Stores (Shopify)
Develop Customer Loyalty Online
Google Digital Marketing & E-commerce Professional Certificate
Google Project Management Professional Certificate
Foundations of project management (Core Skills, Project Lifecycle, Organisational Structure, Change Management)
Project Initiation (Project Goals, Scope & Success Criteria, Team Roles & Responsibilities, Stakeholder Management, Documentation)
Project Planning (Tasks & Milestones, Project Plan, Project Budget, Procurement, Risk Management, Communication Plan)
Project Execution (Measuring Project Progress, Managing Changes, Risks & Dependencies, Communication Issues, Quality Management, Effective Team Management, Project Meetings)
Project Closing (Closeout Report, Retrospectives)
Agile Project Management (Scrum Process)
Capstone Project
Finance
Introduction to Finance and Accounting Specialisation
Fundamentals of Finance
Introduction to Corporate Finance
Introduction to Financial Accounting
More Introduction to Financial Accounting
Investment and Portfolio Management
Global Financial Markets and Instruments (Fixed Income, Equity and Derivative Securities)
Portfolio Selection and Risk Management (Risk & Return, Diversification)
Biases and Portfolio Selection (Efficient Market Hypothesis, Biases & Preferences)
Investment Strategies and Portfolio Analysis (Comparing Portfolios)
Capstone Project (Simulated Portfolio)
Financial Markets
Introduction to common financial concepts
Risk and reward
Discussion of assets and covariance between assets
Insurance fundamentals
Importance of diversification
Financial Analysis - Skills for Success
Introduction to Financial Analysis (Accounting, Present & Future Value, Annuity & Perpetuity)
Financial Analysis of Organisations (Balance Sheet, Income Statement, Cash Flow Statement, Financial Statement Ratios, Forecasting)
Financial Analysis of Scenarios and Decisions (Managerial Accounting, Scenario Analysis, Budgeting, Variance Analysis, Performance Measurement & Evaluation)
A Story of Economics: A Principles Tale
Principles of Economics - Scarcity, Markets, Elasticity, Government Policy, Market Welfare, Externalities
Microeconomics - Costs of Production, Perfect Competition, Monopoly, Monopolistic Competition, Oligopoly, Household Choices
Macroeconomics - Macro Measures (GDP, CPI, Unemployment), Economic Growth, Labour Markets, Savings & Consumption, Savings & Investment, Money & Monetary Policy, Aggregate Supply & Demand, Fiscal Policy
Business Platforms
Microsoft 365 Essentials: Create, Collaborate and Deliver
Comprehensive tutorial on editing with Microsoft word
In depth explanation of Excel concepts and tools
Thorough description of Powerpoint’s features and utilities
Use of generative AI for workplace productivity
Efficient use of AI with Microsoft Teams and Outlook
Getting Started with Google Workspace
Introduction to key Google Workspace products and services
Explanation of use and features
Gmail, Calendar, Drive, Docs, Sheets, Slides, Meet and Chat
Job Simuations
Data Analytics/Data Science
Deloitte - Data Analytics
BCG - Data Science
Consulting
PwC - Management Consulting
BCG - Strategy Consulting
BCG - Digital Transformation
PwC - Digital Assurance
IT Support
DATACOM - Service Desk