What is the role of Excel and Python in modern data analytics? Job Oriented Institute for Data Analyst Course in Delhi, 110029. by SLA Full-time Job
Mar 18th, 2025 at 07:27 Human Resources Delhi 3 views Reference: 112Job Details
Role of Excel and Python in Modern Data Analytics
Excel in Data Analytics
Microsoft Excel remains one of the most widely used tools for data analytics due to its simplicity, flexibility, and robust features. Its key roles include:
- Data Cleaning & Preparation – Excel provides functions like Text to Columns, Find & Replace, Remove Duplicates, and Power Query for data cleaning.
- Data Analysis – Functions such as PivotTables, Lookup Functions (VLOOKUP, HLOOKUP, XLOOKUP), and Statistical Analysis Tools help in analyzing data effectively.
- Visualization – Excel charts and graphs enable users to present data insights through bar charts, pie charts, line graphs, and conditional formatting.
- Automation – Using Macros and VBA (Visual Basic for Applications), repetitive tasks can be automated to enhance efficiency.
- Business Decision Support – Excel is widely used for financial modeling, forecasting, and business reports, making it essential for data analysts.
Despite its advantages, Excel has limitations when dealing with large datasets, automation, and advanced analytics, which is where Python becomes essential.
Python in Data Analytics
Python has become the go-to programming language for modern data analytics due to its scalability, automation, and advanced analytical capabilities.
- Data Handling & Manipulation – Libraries like Pandas and NumPy allow analysts to process, clean, and transform large datasets efficiently.
- Data Visualization – Python offers powerful libraries such as Matplotlib, Seaborn, and Plotly for advanced and interactive data visualization.
- Statistical & Machine Learning Analysis – Python supports scikit-learn, TensorFlow, and PyTorch, making it ideal for predictive analytics and AI-driven insights.
- Automation & Scripting – Unlike Excel, Python can automate data extraction, transformation, and reporting, reducing manual effort.
- Big Data & Cloud Integration – Python integrates with big data platforms (Hadoop, Spark) and cloud services (AWS, Google Cloud) for enterprise-scale analytics.
Conclusion
While Excel remains crucial for quick analysis and business reporting, Python is essential for large-scale data processing, automation, and machine learning. A modern data analyst should be proficient in both to stay competitive.
Data Analyst Course in Delhi
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Data Analytics Training in Delhi NCR
Module 1 - Basic and Advanced Excel With Dashboard and Excel Analytics
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