EXCEL vs. Power Bi | What is the Best Skill to Learn? | Excel | Power Bi | Simplilearn
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đź“Š Excel vs Power BI: Unleashing the Power of Data
In this insightful video, we dive deep into the world of data analysis and visualization, comparing two powerhouse tools: Microsoft Excel and Power BI. Whether you're a data enthusiast, a business professional, or a student eager to enhance your skills, this comparison will help you understand the strengths and nuances of each tool.
🔍 What's Covered:
Introduction to Excel:
Explore Excel's familiar interface and its robust capabilities for data manipulation.
Learn how to create pivot tables, use formulas, and perform basic data analysis within Excel.
Introduction to Power BI:
Discover the dynamic features of Power BI designed for advanced data modeling and visualization.
Understand the seamless integration of Power BI with various data sources for real-time insights.
Head-to-Head Comparison:
Breakdown of key differences and similarities between Excel and Power BI.
Practical examples showcasing scenarios where one tool may excel over the other.
When to Use Each Tool:
Guidance on choosing the right tool based on your specific needs and the complexity of your data.
Integration Possibilities:
Explore how Excel and Power BI can work together harmoniously to maximize your analytical capabilities.
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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.
âś… Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
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âś… Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning
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