Welcome to the world of advanced Pandas Data Science! Python Data Science with Pandas: Master 12 Advanced Projects is the first advanced and project-based Pandas Data Science Course. Here, even if you have basic Pandas coding knowledge, you can enhance your skills and become an expert at handling real-world projects. In this 12-project course, you will work with Pandas, SQL Databases, JSON, Web APIs, advanced data importing and manipulation techniques, advanced data analysis, and data visualization techniques.
What You Will Learn
This course covers everything you need to know about the full Data Workflow A-Z. The program includes importing (complex and nested) data from JSON files and SQL Databases. You will learn to store data in JSON files and SQL Databases, work with Pandas and SQL databases in parallel, and efficiently import and merge data from many CSV files. You will also learn how to clean messy and unstructured data with more generalized coding techniques, validate, normalize and sort stringified and nested columns, and handle Unicode strings.
More Intermediate Skills You Will Acquire
The intermediate skills include advanced data visualization tools like Seaborn & Matplotlib, which are essential for explanatory data analysis, presentation, and effective representation of findings. You will also learn how to test the performance limits of Pandas with advanced data aggregations and grouping, data preprocessing, and feature engineering for machine learning. Furthermore, you will be trained to backtest and forward test investment strategies, Index tracking, and present data with Python in a visually appealing HTML format.
The Instructor
Alexander Hagmann, the course instructor, is a Finance Professional and Data Scientist with more than seven years of Industrial Experience in Financial Data Science & Finance with Python. He has created the course to cater to beginners and advanced-level learners.
Course Reviews and Feedback
The course has an aggregate rating of 4.56, with 747 reviews, making it a top-ranking course on leading rating sites for Python Data Science. Learners have praised the course for its excellent way of teaching real-world projects and have appreciated the value obtained from the course. Many students cite the Instructor's vast experience and practical approach to teaching, making the material easily understandable, relevant, and valuable.
What Makes This Course Stand Out?
The course stands out with its strong emphasis on advanced Pandas Data Science, especially for beginners and intermediate learners. You will be equipped with practical knowledge, and you will work with real-world data to learn effective techniques. The course covers advanced topics that are essential to managing complex projects with large datasets.
Who Is This Course for?
The Python Data Science with Pandas: Master 12 Advanced Projects course is great for beginners and intermediate-level learners who want to take their Pandas coding skills to the next level. The course is also suitable for Data Scientists, Data Analysts, Financial Analysts, and Finance Professionals who want to learn advanced techniques for real-world projects with Pandas.
Advantages of Learning Python Data Science with Pandas
Python is one of the most popular languages in data science and Pandas is one of the powerful library that Python provides for data manipulation and analysis. By learning Pandas, you would be able to manipulate large data sets, transforming data, resampling data, and working with data streams. Pandas allows users to view/operate data in different ways, whether through data visualization or analysis. With Python Data Science with Pandas: Master 12 Advanced Projects, you will learn the Pandas library and gain the skillset to work real-world projects with ease.
Is This Course Worth It?
The Python Data Science with Pandas: Master 12 Advanced Projects course is not only worth it, but it's also an investment in your future in Pandas Data Science. You will learn advanced techniques and practical knowledge that will help you work on real-world projects with ease. The course instructor, Alexander Hagmann, is an expert in the field and has designed the course to be comprehensive, practical, and relevant. By the end of this course, you will be confident in your Pandas coding skills and be able to work on real-world projects.
