Data Analysis

Course Overview

This course introduces you to the world of data analysis using Python, pandas, NumPy, Matplotlib, Seaborn, and SQL. You will learn how to clean, manipulate, and visualise data, as well as perform exploratory data analysis (EDA) on real‑world datasets. The curriculum covers data wrangling, statistical analysis, and creating interactive dashboards. You will also work with Jupyter Notebooks and cloud‑based analytics tools. The programme includes a final capstone project where you analyse a large dataset and present actionable insights. Both online and physical modes are available, with access to cloud notebooks and mentor support. After completion, you will be equipped for roles like Data Analyst, Business Intelligence Analyst, or Junior Data Scientist.

Duration

3 Month(s)

Availability

Online & Physical (both available)

Language

English

Training Days (Online)

Mon, Wed & Fri

Training Days (Physical)

Mon, Wed & Fri

Certification

Recognised Certificate on Completion

What You'll Achieve

On completing this course, you will be able to: 1. Analyze, clean, and visualize real‑world datasets using Python (pandas, NumPy, Matplotlib, Seaborn) and SQL. 2. You will perform exploratory data analysis (EDA), 3. Build interactive dashboards, and present actionable insights. The final capstone project will see you analyze a large dataset and deliver a professional report, preparing you for roles like Data Analyst or Business Intelligence Analyst.

Prerequisites

Basic computer literacy and familiarity with spreadsheets (Excel) are helpful. No programming experience required.