If you want to learn more about Data Science or how to master it with the Python Programming Language Step-by-Step, then keep reading.
Data Science is one of the biggest buzzwords in the business world nowadays. Many businesses know the importance of collecting information, but as they can collect so much data in a short period, the real question is: "what is the next step?"
Data Science includes all the different steps that you take with the data: collecting and cleaning them if they come from more than one source, analyzing them, applying Machine Learning algorithms and models, and then presenting your findings from the analysis with some good Data Visualizations.
You will learn about the main steps that are needed to correctly implement Data Science techniques and the algorithms to help you sort through the data and see some amazing results. Some of the topics that we will discuss inside include:
- A thorough and simple explanation of data science and the way it works
- Basics of data science and fundamental skills you need to get started
- A blueprint for the most used frameworks for Python data science
- How to process and understand the data and design your own projects
- What data science is all about and why so many companies are using it to give them a competitive edge.
- Why Python and how to use it to implement Data Science
- What is the intersection between Machine Learning and Data Science and how to combine them
- Functions and Modules in Python
- Data Aggregation and Group Operations
- Interaction with databases and data in the cloud
- And Much More!
Even if you have never implemented Data Science techniques, learning them is easier than it looks. You just need the right guidance. And Python Data Science provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn, the techniques to manipulate and process datasets, the principles of Python programming, and its most important real-world applications.
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