Develop your data analysis skills in Python and gain practical experience analyzing real-world datasets.
Key Features
- Experience analyzing real-world datasets in lectures and guided projects
- The course is arranged in different sections based on the step-by-step process of REAL data analysis
- Get exposed to basic statistical knowledge necessary for data analysis
Book Description
Data analysis is a critical skill and is getting more popular. Nowadays, every organization has some data. Data could be extremely useful, but not without appropriate analysis. Data analysis enables us to transform data into insights for businesses to make informative decisions.
You can find data analysis being used in every industry, be it healthcare, finance, or technology. Python is one of the most in-demand skills for data science by employers. It is not only easy to learn but also powerful.
The course follows the approach of rather than dumping all the available Python libraries or functions to you, we picked only the most useful ones based on our industry experience to cover in the course. This allows you to focus and master the foundations. Besides Python programming, you will also get exposed to the basic statistical knowledge necessary for data analysis. Combined with detailed video lectures, you will be given a few projects to work on to reinforce your knowledge.
By the end of the course, you will have a solid foundation of data analysis, and be able to use Python for the complete process.
All resources and code files are placed here: https://github.com/PacktPublishing/Python-for-Data-Analysis-step-by-step-with-projects-
What you will learn
- Learn to use Python for data analysis
- Explore Python data analysis libraries (Pandas, Scikit-learn, Seaborn)
- Learn about time data series in Python
- Create data visualizations in Python
- Learn to calculate summary statistics
- Learn how to clean, manipulate, and transform data
Who this book is for
This course is helpful for anyone interested in analyzing data effectively. You want to become a data analyst or a data scientist, or you just want the skills to work on your projects.
This course is beginner friendly. However, we recommend you have some basic knowledge of Python or at least another programming language.
