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EBOOK
Data Science Explained
₹393 ₹2599
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- PDF eBook
- 300+ Pages
- 1-click download
- High Quality Data Science Book
- Easy language, to-the-point concepts
- Easy PDF download
Why Buy This Book?
Practical Approach: Learn data science through real-world examples and practical applications.
Hands-On Exercises: Engage with hands-on exercises to reinforce your understanding and gain practical skills.
Problem-Solving Focus: Develop problem-solving skills by applying data science methods to solve complex challenges.
Clear Explanations: Enjoy clear and concise explanations that make complex concepts easy to understand.
Table of content
1. Getting Started with Data Science
1.1 What is Data Science?
1.2 Why Learn Data Science?
1.3 Basics of Data and Information
2. Numbers and Patterns
2.1 Understanding Data
2.2 Basic Math for Data Science
2.3 Finding Patterns in Data
3. The Language of Data: Programming Basics
3.1 Introduction to Python
3.2 Writing Your First Code
3.3 Working with Data in Python
4. Exploring and Visualizing Data
4.1 Overview of Exploratory Data Analysis (EDA)
4.2 Creating Simple Plots
4.3 Drawing Insights from Data
5. Data Cleaning and Preparing for Analysis
5.1 Cleaning Messy Data
5.2 Handling Missing Values
5.3 Organizing Data for Analysis
6. Let’s Predict: An Introduction to Machine Learning
6.1 What is Machine Learning?
6.2 Types of Machine Learning
6.3 Training Your First Model
7. Predictive Power: Basic Machine Learning Models
7.1 Linear Regression
7.2 Decision Trees
7.3 Clustering Basics
8. Understanding Your Data: Advanced Topics
8.1 Feature Engineering
8.2 Dimensionality Reduction
8.3 Handling Time Series Data
9. Bringing Models to Life: Model Deployment
9.1 Making Your Model Accessible
9.2 Deploying a Model in the Cloud
9.3 Sharing Your Insights
10. Handling Big Data and Cloud Basics
10.1 Introduction to Big Data
10.2 Cloud Computing for Beginners
10.3 Basics of Distributed Computing
11. Responsible Data Science
11.1 Ethical Considerations
11.2 Bias in Data Science
11.3 Transparency and Fairness
12. Your Data Science Project: From Start to Finish
12.1 Planning Your Project
12.2 Executing the Project
12.3 Presenting Your Findings
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