The Data Analysis Course by Aditya Singh is a practical and structured program designed to equip learners with essential data analytics skills using MS Excel, Python, and Power BI. This course focuses on real-world data handling, cleaning, preprocessing, and visualization techniques that are crucial for modern data-driven decision-making.

Delivered in online mode, the course is ideal for students, graduates, and working professionals who want to build a strong foundation in data analysis and analytics tools.

What Students Will Learn

🔹 MS Excel for Data Analysis

• Advanced Excel formulas and functions

• Data sorting, filtering, and validation

• Pivot Tables and Pivot Charts

• Data summarization and reporting

• Dashboard basics in Excel

🔹 Python for Data Analysis

• Introduction to Python for data handling

• Working with datasets

• Data manipulation techniques

• Practical coding for analysis tasks

• Structured problem-solving using Python

🔹 Data Cleaning & Preprocessing

• Identifying missing and inconsistent data

• Handling duplicates and outliers

• Formatting and transforming raw datasets

• Preparing data for analysis and visualization

• Ensuring data accuracy and consistency

🔹 Power BI for Data Visualization

• Introduction to Power BI interface

• Importing and transforming data

• Creating interactive dashboards

• Visual storytelling with charts and graphs

• Basic reporting and insights generation

The course integrates tools and techniques to provide a complete understanding of the data analysis workflow—from raw data to actionable insights.

Teaching Method

This is an online training program with a practical and hands-on approach.

The learning method includes:

• Step-by-step concept explanation

• Live demonstrations

• Practice datasets

• Real-time data cleaning exercises

• Dashboard-building practice

• Doubt-solving sessions

The focus is on building practical skills that can be applied in academic, business, and professional settings.

Why This Tutor

Aditya Singh offers a structured learning path that combines industry-relevant tools such as Excel, Python, and Power BI. The course is designed to ensure learners understand not just the tools, but also the logical flow of data analysis — including preprocessing, cleaning, and visualization.

Benefits / Outcomes

By completing this course, learners will:

• Understand the complete data analysis process

• Gain hands-on experience with Excel, Python, and Power BI

• Learn effective data cleaning and preprocessing techniques

• Build interactive dashboards and reports

• Improve analytical thinking and problem-solving skills

• Be better prepared for roles in data analysis and analytics

This course is suitable for beginners and intermediate learners interested in building practical analytics skills.