Data Analytics Course

Learn Modern Data Analytics Skills

Learn how to collect, organise, analyse, visualise, and interpret data using Excel, Power BI, SQL, Python basics, and business analytics concepts through practical project-based learning.

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Data Analytics

Excel • Power BI • SQL • Dashboards • Data Visualisation

About Data Analytics

Why Learn Data Analytics?

Data analytics is one of the fastest-growing digital skills used in business, finance, marketing, healthcare, IT, and decision-making industries. Organisations use data analytics to understand trends, improve performance, and make smarter decisions.

High Demand Skill

Data analytics skills are widely used in business, IT, finance, and marketing industries.

Career Opportunities

Useful for analysts, office professionals, business teams, and future tech careers.

Visual Reporting

Create charts, reports, dashboards, and data-driven presentations professionally.

Decision Making

Learn how organisations use data insights to improve strategy and performance.

Analytics Tools & Modules

What You Will Learn

This course combines practical analytics tools and real-world data concepts to help students understand data handling, reporting, dashboards, and business analysis.

Microsoft Excel

Learn formulas, functions, sorting, filtering, pivot tables, charts, data cleaning, and advanced spreadsheet analysis.

Power BI

Build dashboards, interactive reports, charts, KPIs, and business data visualisations using Power BI.

SQL Basics

Understand databases, tables, queries, filtering, sorting, joins, and basic data extraction using SQL.

Python Basics for Analytics

Learn beginner-level Python concepts useful for handling data, automation, and analysis workflows.

Data Cleaning

Organise messy data, remove duplicates, correct errors, and prepare clean datasets for reporting.

Data Visualisation

Create graphs, dashboards, reports, trends, KPI displays, and visual business presentations.

Practical Projects

Build Real Analytics Projects

Students will work on practical datasets and reporting projects to understand real business and analytics workflows.

Sales Dashboard

Create business sales reports and visual dashboards using charts, KPIs, and trend analysis.

Customer Analysis

Analyse customer records, demographics, purchase patterns, and engagement data.

Financial Reports

Prepare budget tracking, income reports, expense summaries, and financial analysis charts.

Student Data Analysis

Analyse attendance, performance, and academic records using analytics techniques.

Interactive Dashboards

Build responsive dashboards with filters, visual reports, KPIs, and trend indicators.

Analytics Presentation

Present insights professionally using graphs, reports, dashboards, and business storytelling.

Learning Pathway

Step-by-Step Data Analytics Learning Process

Understand Data Fundamentals

Learn what data analytics means, how data is used, and why businesses rely on data-driven decisions.

Work with Excel Data

Learn spreadsheet handling, formulas, charts, pivot tables, sorting, filtering, and reporting.

Learn SQL & Databases

Understand databases, tables, SQL queries, filtering, sorting, and extracting information.

Create Visual Dashboards

Use Power BI to create interactive dashboards, KPIs, visual reports, and data stories.

Practice Real Analytics Projects

Analyse practical datasets and create business-style reports and presentations.

Build Analytics Portfolio

Prepare project samples and dashboards suitable for internships, jobs, and portfolio presentation.

Skills Outcome

After Completing the Course

Students will be able to work with datasets, prepare dashboards, analyse trends, create reports, and present data insights professionally.

Analyse and organise datasets using Excel

Create charts, dashboards, and KPI reports

Use Power BI for interactive visualisation

Understand basic SQL and database concepts

Prepare business reports and analytics presentations

Build beginner-level analytics project portfolio

Who Can Join?

Suitable for Students and Professionals

No advanced technical background is required. This course is suitable for students, office workers, business learners, IT beginners, and future analysts.

School and +2 students

Bachelor-level students

Office and administrative professionals

Future business and data analysts

Learners interested in IT and reporting

Anyone wanting practical analytics skills

Start Learning Data Analytics Today

Join Rinova Education and learn Excel, Power BI, SQL, dashboards, and practical data analytics skills through real project-based learning.

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