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Data Science Basic
This chapter emphasizes the importance of practical experience and demonstrates how to apply the data science process through a capstone project. It covers building a robust portfolio to showcase skills and outlines various career roles within data science. Additionally, it provides guidance on preparing for job interviews and offers resources for continuous learning and certification.
12 Chapters
150 hr
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Course Chapters
Chapter 1
Introduction to Data Science
Chapter 2
Data Types and Data Structures
Chapter 3
Python for Data Science
Chapter 4
Data Collection Techniques
Chapter 5
Data Cleaning and Preprocessing
Chapter 6
Exploratory Data Analysis
Chapter 7
Data Visualization
Chapter 8
Introduction to Statistics
Chapter 9
Introduction to Machine Learning
Chapter 10
Regression Analysis
Chapter 11
Classification Algorithms
Chapter 12