Data Analytics

Data Analysis Course is a practical, hands-on training designed to teach you how to collect, clean, analyze, and visualize data using tools like Microsoft Excel, Power BI, Tableau, and foundational business statistics. This course prepares you for entry-level roles in data analytics

     TRAINING PROGRAM FEE

  • PHYSICAL FEE:                     #200,000
  •  ONLINE:                                  #190,000

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Professional Certificate

Earn a career credential that demonstrates your expertise

Taught in:
English
Weekdays | Weekend Classes Starts Soon!
Weekdays
8 - 10 weeks
11:00AM - 2:00PM
Weekends
12 weeks
10am - 4pm

Who can participate?

Earn a certificate

What you'll learn

  • How to collect, organize, and clean raw data

  • Data analysis techniques for solving real-world problems

  • Advanced spreadsheet skills using Microsoft Excel

  • Writing and executing queries with SQL

  • Creating interactive dashboards with Power BI

  • Basic programming for data analysis using Python

  • Data visualization and reporting techniques

  • Fundamental statistics for data interpretation

  • How to present data insights professionally

  • Hands-on project experience for your portfolio

Skills you'll gain

Project Management
Career Development
Strategic Thinking
Quality Management
Problem Solving
Business Writing

See how employers at top companies are employing in-demand skills

Prepare for a Career in Data Analytics

  • Receive professional-level training from Astro TEC
  • Demonstrate your proficiency in portfolio-ready projects
  • Earn an employer-recognized certificate from Astro TEC
  • Qualify for in-demand job titles: Project Manager, Project Coordinator, Project Assistant

Get exclusive access to career resources upon completion

Resume review

Improve your resume and LinkedIn profile with personalized feedback

Interview preparations

Practice your skills with interactive tools and mock interviews

Career support

Plan your career move with Astro TEC job search guide

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Course Outline: Data Analysis
Module 1:
Introduction to Data Analysis
  • What is Data Analysis?

  • Types of Data (Qualitative & Quantitative)

  • Data Analysis Process

  • Career Paths in Data Analytics

  • Introduction to Microsoft Excel Interface

  • Data Entry and Formatting

  • Essential Formulas & Functions (SUM, IF, VLOOKUP, etc.)

  • Data Cleaning Techniques

  • Pivot Tables & Charts

  • Basic Data Visualization

  • Introduction to SQL

  • Database Concepts

  • SELECT Statements

  • Filtering & Sorting Data

  • Joins and Aggregations

  • Working with Real Databases

  • Introduction to Power BI

  • Connecting to Data Sources

  • Data Transformation

  • Creating Interactive Dashboards

  • Publishing and Sharing Reports

  • Basics of Python

  • Working with Data Libraries (Pandas – overview)

  • Data Cleaning with Python

  • Basic Data Visualization

  • Simple Data Projects

 

Module 6: Statistics for Data Analysis

  • Mean, Median, Mode

  • Standard Deviation

  • Probability Basics

  • Data Interpretation Techniques


Module 7: Capstone Project

  • Real-World Business Dataset

  • Data Cleaning & Analysis

  • Dashboard Creation

  • Presentation of Findings

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