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Data Analytics

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Overview

Our Data Analytics Course is a hands-on training program designed to equip learners with in-demand skills for working with data in today’s digital world. The course focuses on practical tools used by data professionals to collect, clean, analyze, and visualize data for better business decision-making.

Students will be trained in Microsoft Excel, SQL, Power BI, and Python, covering everything from basic data handling to advanced analytics and dashboard creation. The training is project-based, ensuring learners gain real-world experience through practical assignments and a final capstone project.

By the end of the course, participants will be able to analyze business data, generate insights, build interactive dashboards, and apply for entry-level roles such as Data Analyst, Business Analyst, or Junior Data Scientist.

This program is ideal for beginners, graduates, job seekers, and professionals looking to transition into the tech and data field.

Frequently Asked Question

This course spans 12 weeks, including practical exercises, assignments, case studies, and a capstone project designed to provide real-world data analytics experience.

Basic Computer Skills: Learners should be comfortable using a computer, managing files and folders, and browsing the internet.
Basic Mathematics: A basic understanding of arithmetic and logical reasoning is beneficial but not mandatory.
No prior experience in programming, databases, or data analytics is required.

Personal Computer: A laptop or desktop computer capable of running Microsoft Excel, Power BI, and Python development tools.
Operating System: Windows 10/11 is recommended. macOS users can also participate.
Internet Connection: A stable internet connection is required for software installation, online resources, and project submissions.

Microsoft Excel: For data cleaning, analysis, reporting, and dashboard creation.
SQL Database: Microsoft SQL Server for querying and managing data.
Power BI: For interactive dashboards, reports, and business intelligence.
Python: Using Jupyter Notebook, Pandas, NumPy, Matplotlib, Seaborn and Streamlit for data analysis and visualization.
What You Will Learn
  • Microsoft Excel: Data Cleaning, Functions, Pivot Tables, Charts & Dashboards
  • SQL: Database Fundamentals, Data Querying, Filtering, Aggregation & Joins
  • Power BI: Data Modeling, DAX, Interactive Reports & Business Dashboards
  • Python: Pandas, NumPy, Data Cleaning, Exploratory Data Analysis & Visualization
  • Capstone Project: End-to-End Data Analytics Project Using Real-World Datasets
  • Career Readiness: Portfolio Development, CV Optimization & Interview Preparation

Leading the way in Data Analytics, empowering learners to transform data into insights and informed business decisions.