- To help you understand the correct meaning of data science.
- To help you understand the various fields that make data science.
- To familiarize you with various algorithms used in data science.
- To introduce you to the most popular data science software tools.
- To help you understand the best languages for data science tasks.
- To help you know where and how you can apply data science in your business.
- Anybody who needs to familiarize themselves with the fundamentals of data science..
- Anybody who needs a thorough introduction to data science before venturing into its practicalities..
- Anybody who needs to know where and how they can apply data science in their business.
- Professionals in data science, computer programming, computer scientist.
- Professors, lecturers or tutors who are looking to find better ways to explain python for data analysis to their students in the simplest and easiest way.
- Students and academicians, especially those focusing on python programming, computer science, neural networks, machine learning, and deep learning.
- Anybody who needs to understand the various approaches, tools, and theories underlying data science.
- Python 3.X
- Numpy
- Pandas
- Matplotlib
- BASICS OF DATA SCIENCE
- DECISION THEORY
- ESTIMATION THEORY
- COORDINATE SYSTEMS
- LINEAR TRANSFORMATION
- GRAPH THEORY
- ALGORITHMS
- MACHINE LEARNING
- DATA COLLECTION, MODELLING, AND COMPILATION
- DATA ANALYSIS
- DATA PRESENTATION AND VISUALIZATION
- DATASCIENCE SOFTWARE TOOLS
- PROGRAMMING LANGUAGES FOR DATA SCIENCE
- APPLICATIONS OF DATA SCIENCE.