Welcome to the Resources page of Data Analysis with Janvi! Here, we have curated a selection of valuable resources to aid your data analysis journey. Whether you are a beginner looking to get started or an experienced data enthusiast seeking to expand your skills, these resources will be your guide in mastering the art of data analysis.
Books:
1. "Data Science for Beginners" by Andrew Park
- A comprehensive introduction to data science concepts, perfect for beginners looking to understand the foundations of data analysis.
2. "The Visual Display of Quantitative Information" by Edward R. Tufte
- This classic book explores the principles of effective data visualisation, offering valuable insights into creating compelling visual representations.
Online Courses:
1. Coursera - "Data Science Specialization" by Johns Hopkins University
- A series of courses covering the fundamentals of data analysis, programming, and statistical thinking.
2. Udemy - "Python for Data Science and Machine Learning Bootcamp" by Jose Portilla
- A hands-on course to learn Python for data analysis and machine learning applications.
Tutorials and Guides:
1. Kaggle Tutorials - "Data Visualization with Python" by DataCamp
- A series of interactive tutorials on data visualisation using Python libraries like Matplotlib and Seaborn.
2. Towards Data Science - "A Gentle Introduction to Statistical Data Analysis" by [Daniel Bourke]
- An easy-to-follow guide explaining statistical concepts and techniques for data analysis.
Data Analysis Tools:
1. Power BI
- Microsoft's powerful data analysis and visualisation tool, ideal for interactive data exploration and reporting.
2. Tableau Public
- A user-friendly data visualisation tool that allows you to create interactive dashboards and share them with others.
Websites and Blogs:
1. FlowingData
- A blog that showcases beautiful and informative data visualisations, offering inspiration for your own projects.
- A valuable resource with articles, tutorials, and case studies on various data analysis topics and tools.
Data Sources:
1. Kaggle
- A platform that hosts a wide range of datasets for practice and real-world data analysis projects.
2. Data.gov
- A repository of government datasets covering various domains, including health, finance, and climate.
We hope you find these resources helpful in your data analysis journey. As we discover new and exciting resources, we'll continue to update this page to provide you with the best tools and knowledge to excel in data analysis. Happy learning and analysing!
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