Python for Data Analysis: Step-By-Step with Projects

Description

Step into the world of data analysis and gain practical experience analyzing real-world datasets with the help of this course. This course will not only guide you in analyzing data efficiently in Python from scratch but also help you in conducting your own analysis with Python and extracting valuable insights that can transform your business!

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-

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

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.

This course offers 10 hours of HD video lectures, detailed code notebooks, and 3 guided practice projects, based on multiple real-world datasets.

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

https://github.com/PacktPublishing/Python-for-Data-Analysis-step-by-step-with-projects-

Just Into Data is the brainchild of Justin and Lianne. Justin is an experienced data scientist in many different fields, such as marketing, anti-money laundering, and big data technologies. He also has a bachelor's degree in computer engineering and a master's degree in statistics. Lianne is an experienced statistician who has worked in the central bank as well as commercial banks, where she monitored major financial institutions and conducted fraud analysis. She has both a bachelor's and a master's degree in statistics.

1. Let's get started!

2. Python crash course (optional)

3. Importing data

4. Exploring data (manipulation)

5. Capstone practice project I

6. Cleaning data

7. Transforming columns/features

8. Capstone practice project II

9. Exploring data (Exploratory Data Analysis)

10. Capstone practice project III

11. Bonus section: congrats and thank you!