Learn Data Analysis with Excel & Power BI

Our Courses

Data Analysis

This course provides a structured introduction to the data lifecycle — from data gathering and cleaning to advanced analysis and presentation. Students will work with tools such as Excel, SQL, Python (Pandas, NumPy), and data visualisation libraries like Matplotlib and Seaborn, alongside platforms like Tableau or Power BI. Key areas include descriptive and inferential statistics, data wrangling, exploratory data analysis (EDA), and building dashboards.

Overview

The Data Analysis course runs over twelve weeks, progressing from foundations to advanced applications. In the first stage, learners gain an understanding of the data analysis process, Excel techniques, and statistical basics. The middle phase introduces SQL for database querying, Python for data wrangling, and visualisation techniques. The final weeks focus on building interactive dashboards, presenting insights for stakeholders, and applying data analysis to real-world case studies. A capstone project allows students to complete an end-to-end analysis, from raw dataset to business insights and visual reporting.

Career Opportunities

Graduates of the Data Analysis course are equipped for roles such as Data Analyst, Business Intelligence Analyst, Reporting Analyst, or Junior Data Scientist. These positions are in high demand across finance, healthcare, technology, e-commerce, consulting, and government sectors. With further specialisation, learners can progress into advanced analytics, data engineering, or data science role.

Graduate Benefits

By the end of this course, graduates will complete an end-to-end data analysis portfolio, develop career-ready skills, and position themselves for analytical roles across global industries such as:

Portfolio Project Showcasing
- Capstone project demonstrating the full data analysis lifecycle, from cleaning and transformation to visualisation and reporting.
- Shareable dashboards and reports that can be presented to employers or freelance clients.
Personalised Career Support
- Resume and LinkedIn profile optimisation tailored to analytical roles.
- Mock technical interviews with SQL, Excel, and case study problem-solving.
- Guidance on building a GitHub portfolio with Python notebooks, SQL queries, and dashboard projects.
Global Employability and Salary Range
- Training aligned with international data analysis practices and industry tools.
- Career opportunities across consulting firms, enterprises, startups, and freelance analytics.
- Entry-level salaries typically range from £32,000 to £55,000+, with senior analysts earning £70,000+ depending on industry and expertise.