Thus, learning from the book Ultimate Python Libraries for Data Analysis and Visualization, you will easily master data analysis with Python. It helps the beginner in the field and certainly the expert as well. It runs from fundamental procedures of data collection and preparation for analysis to complex methods. After this process, you’ll begin to analyze your data set, gaining insights to identify new patterns and relations.
Yet this book is not theoretical; at its core are strategies that are easily applicable in the commercial world. You will handle projects that involve data in different areas, such as finance and health, which exposes you to different datasets and real-life problems. In the end, the certified user will be prepared to handle any data analysis problem without any doubt.
But if you ever find yourself having trouble, don’t sweat it. There is an appendix that includes a Python cheat sheet that will assist you. Use “Ultimate Python Libraries for Data Analysis and Visualization" as your go-to guide to learn Data Analysis with Python; it comes with concise descriptions and easy-to-follow instructions.
Ultimate Python Libraries for Data Analysis and Visualization Table of Contents:
- Introduction to Data Analysis and Data Visualization using Python
- Data Acquisition
- Data Cleaning and Preparation
- Exploratory Data Analysis
- Statistical Analysis
- Time Series Analysis and Forecasting
- Signal Processing
- Analyzing Real-World Data Sets using Python
Who is this course for?
- Anyone who is new to the Python programming language and wants to learn how to use it for data analysis.
- Data analysts who are already experienced but desire to become more proficient.
- Data analysts and officers, Researchers, Data Scientists, Analysts and managers in retail and business organizations.
- Any enthusiast who would like to acquire knowledge of Python with real-world uses for data analysis and visualization.
