About the Class
This class is designed as a practical, job-oriented Data Analyst training program focused on helping students develop the skills required to work with real-world business data. The sessions are conducted in a step-by-step manner, starting from the basics and gradually moving towards advanced concepts. Students will not only learn the tools but also understand how and when each tool is used in a real Data Analyst role.
The class covers Advanced Excel, SQL, Power Query, Power BI, DAX, Python, Pandas, Statistics, and Data Visualization through practical examples and hands-on exercises. Special attention is given to data cleaning, handling missing and incorrect values, removing duplicates, date-format issues, data transformation, SQL analysis, data modeling, dashboard development, and generating meaningful business insights.
Students will work on practical datasets and real-time business scenarios such as sales, customer, banking, insurance, and business performance analysis. An end-to-end project will help students understand the complete analytics workflow from raw data to final dashboard and business recommendations.
The class also focuses strongly on career preparation. Students will receive guidance on LinkedIn profile optimization, GitHub portfolio creation, ATS-friendly resume preparation, job description analysis, project presentation, and interview preparation. Mock interviews will be conducted to improve technical knowledge, communication, and confidence.
The teaching approach is interactive and practice-oriented, with explanations, demonstrations, assignments, doubt clarification, and real-world interview questions. The goal is to ensure that students finish the course with practical skills, portfolio projects, and the confidence to apply for Data Analyst opportunities.