Data Analysis

Professional Training Syllabus

  • Total Duration: 120 Hours
  • Training Type: Theory + Hands-on Practice + Projects
  • Level: Beginner to Intermediate
  • Mode: Classroom / Online (Instructor-Led)
  • Tools Covered: Excel, SQL, Power BI, Python (Basics)

Programme Overview

This Data Analyst training programme is designed to help learners understand how to collect, clean, analyse, and interpret data for business decision-making. The syllabus focuses on practical skills, real-world datasets, and industry-relevant tools used by data professionals.

Course Objective

The objective of the Data Analyst course at Mahira Edge is to equip learners with practical skills to collect, clean, analyze, and interpret data for real business decision-making. The course is designed to build a strong foundation in data analysis using industry-relevant tools such as Excel, SQL, Power BI, and basic Python.

This program focuses on hands-on learning, real-world datasets, and business use cases so learners understand how data analysis is applied across industries. By the end of the course, students will be confident in analyzing data, creating reports and dashboards, and presenting insights clearly, preparing them for entry-level and professional data analyst roles.

Course Overview

The Data Analyst course at Mahira Edge is designed to help learners understand how data is used to support business decisions. This course focuses on building practical data analysis skills through hands-on training, real-world datasets, and industry-relevant tools.

Learners are trained to work with data using Excel, SQL, Power BI, and basic Python, covering the complete data analysis process from data collection and cleaning to analysis, visualization, and reporting. The program emphasizes clarity, accuracy, and real business use cases so students gain confidence in working with data.

This course is suitable for students, working professionals, and career switchers who want to start or grow a career in data analysis. By the end of the program, learners are prepared to handle real data analysis tasks and entry-level data analyst roles across industries.

What You Learn

  • Understand the complete data analysis process from raw data to insights
  • Collect, clean, and organize data for accurate analysis
  • Use Excel for data handling, formulas, pivot tables, and reports
  • Write SQL queries to extract and analyze data from databases
  • Create interactive dashboards and visual reports using Power BI
  • Apply basic statistics to identify trends and patterns
  • Use Python basics for data analysis and automation
  • Interpret data to support real business decisions
  • Work on real-world projects and case studies
  • Present data findings clearly and professionally

Learning Outcomes

After completing this course, learners will be able to:

  • Understand and apply the complete data analysis workflow

  • Clean, organize, and prepare data for accurate analysis

  • Analyze data using Excel and SQL for business reporting

  • Create clear dashboards and visual reports using Power BI

  • Apply basic statistical concepts to interpret data correctly

  • Use Python basics to support data analysis tasks

  • Identify trends, patterns, and insights from real datasets

  • Communicate data findings in a clear and professional manner

  • Support data-driven business decisions with confidence

  • Perform entry-level and professional data analyst tasks

MAHIRA EDGE Advantage

Mahira Edge offers a learning experience that is practical, structured, and focused on real industry needs. Our Data Analyst training is designed to help learners gain hands-on skills using tools and techniques that are actively used in today’s organizations.

Training is delivered by experienced professionals who explain concepts in a simple and easy-to-understand manner. Students work on real-world datasets, live examples, and practical assignments to build confidence and job-ready skills.

At Mahira Edge, learners receive continuous support through guided sessions, doubt-clearing, project mentoring, and interview preparation. Along with technical training, we focus on career guidance and professional readiness to help students succeed in the data analytics field.

Detailed Syllabus – Data Analyst

Module 1: Introduction to Data Analysis

  • What is Data Analysis and Analytics

  • Role of a Data Analyst

  • Types of data and data sources

  • Data analysis workflow

Module 2: Excel for Data Analysis
  • Excel basics and shortcuts
  • Data cleaning and formatting
  • Functions and formulas
  • Lookup functions (VLOOKUP, XLOOKUP, INDEX-MATCH)
  • Pivot Tables and Charts
  • MIS and management reports
Module 3: SQL for Data Analysis
  • Database fundamentals
  • Writing SQL queries
  • Filtering and sorting data
  • Joins and relationships
  • Grouping and aggregation
  • Real-world business queries
Module 4: Data Visualization & Reporting
  • Importance of data visualization
  • Charts and graphs for analysis
  • Dashboard concepts
  • Introduction to Power BI
  • Creating interactive reports
Module 5: Python for Data Analysis (Basics)
  • Introduction to Python
  • Working with Pandas and NumPy
  • Data cleaning using Python
  • Basic data analysis and visualization
Module 6: Business & Analytical Thinking

  • Understanding business problems

  • KPI and performance analysis

  • Interpreting data for decisions

  • Case studies and scenarios

Module 7: Real-World Projects

  • End-to-end data analysis project

  • Working with real datasets

  • Data interpretation and reporting

  • Presentation of insights

Module 8: Career & Interview Preparation

  • Data Analyst interview questions

  • Resume building and project explanation

  • Mock interviews

  • Career guidance