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Data Science Tutorial | Data Science Tutorial For Beginners

Data science is an interdisciplinary field that combines techniques and tools from statistics, mathematics, computer science, and domain knowledge to extract insights and knowledge from data. In this tutorial series, you will learn everything about data science starting from the career scope, and the steps involved in data visualization, analysis, cleaning and developing data science-based projects using Python.

21 lessons 13 units 3 hr 42 min of reading Free
Data Science Tutorial | Data Science Tutorial For Beginners
1 Introduction Explores the basics and key concepts to get started. 2 19 min
2 Basics Provides an overview of basic programming concepts. 4 34 min
3 Data Structures Basics Introduces fundamental data structures like arrays and trees. 1 11 min
4 Data Collection Covers methods for collecting data for ML models. 1 10 min
5 Data Cleaning Explains techniques for cleaning data in machine learning. 1 8 min
6 Data Pre-processing Explains preprocessing data for machine learning. 1 9 min
7 Data Wrangling Explains transforming and mapping data for ML. 1 6 min
8 Regression Analysis Covers regression techniques in machine learning. 2 16 min
9 Time Series Analysis Explains time series analysis for forecasting. 2 16 min
10 A/B Testing Explains A/B testing for optimization. 1 7 min
11 Career Provides an overview of tech career paths. 2 24 min
12 Roadmaps Covers career roadmaps for tech roles. 2 28 min
13 Interview Explains general interview techniques. 1 34 min