Data Science Foundations: A Beginner's Practical Guide
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Learn the fundamentals of data science through this practical, beginner-friendly ebook. Explore data cleaning, exploratory analysis, statistics, visualization, predictive modeling, and portfolio development in one structured guide.
WHAT YOU WILL LEARN
• What data science is and how it supports decisions
• Types of data and where to find datasets
• Data cleaning and handling missing values
• Exploratory data analysis and summaries
• Essential statistics and probability
• Choosing effective charts and visualizations
• Regression, classification, and model evaluation
• Building a portfolio and preparing for interviews
FORMAT: PDF ebook
LENGTH: 39 pages
LEVEL: Beginner
A practical starting point for students, aspiring data analysts, and anyone beginning their data science journey.
What you'll get
- Beginner-friendly data science guide
- 8 structured learning chapters
- Practical data cleaning techniques
- Statistics and data visualization
- Introduction to predictive modeling
- Portfolio and career preparation
About the creator
Frequently asked questions
What will I receive after purchasing?
A digital PDF ebook, Data Science Foundations, covering eight chapters of introductory data science concepts.
Is this ebook suitable for beginners?
Yes. It introduces the foundations of data science, from understanding data and cleaning it to basic predictive modeling.
Do I need advanced programming skills?
No advanced programming knowledge is required to understand the introductory concepts. Hands-on practice with a spreadsheet or Python can help reinforce learning.
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