#projects
This video covers the data analysis project that you can add in your resume or portfolio to showcase your skills. It walk you through the steps required to create a project starting from the business problem to make reports to present the results of the analysis.
Data Analysis Project Steps:
1. Create a Problem Statement.
2. Identify the data you want to analyze.
3. Explore and Clean the data.
4. Analyze the data to get useful insights.
5. Present the data in terms of reports or dashboards using visualization.
0:00 - Project Introduction
2:50 - Data Analysis Project Steps
7:48 - Understanding the Business Problem
16:06 - Data Analysis using python
59:53 - Report Making
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✅ Add the ready project to your Portfolio.
Get Resources (code, dataset, report) : https://topmate.io/ayushi_mishra/317433
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Hey everyone!
In today's video, we are talking about the large field of web development and its potential in today’s job market. While everyone is stressed that AI will replace their job, we will talk about how you can use it to make it your friend and boost in your respective field.
Joining us is Saurabh Bansal, Mentor at GeeksforGeeks, he will share his own web development journey and the different job roles that a person can expect in this field.
Saurabh will also highlight key projects that every aspiring web developer should take on to build a robust portfolio and secure a job in today’s market and he will also share a complete roadmap for web development.
This episode is packed with insights on leveraging tools like React JS and Express JS, and strategies for integrating AI into your web development career. Don't miss out on these valuable tips to boost your professional growth!
Make sure to subscribe for more content!
Chapters:
00:00 - Introduction
01:16 - Saurabh's Background
02:11 - Web Dev Roadmap
03:46 - React & Express JS Overview
04:40 - Web Dev Job Growth
07:20 - AI's Role in Web Dev
10:15 - AI Tools for Developers
13:15 - Web Dev Careers
15:53 - Work-Life Balance Tips
17:54 - Open Source Benefits
19:35 - Key Web Dev Projects
22:57 - Interview Prep Tips
23:58 - Conclusion
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