Advanced Data Wrangling with Pandas
What you'll learn
- Master complex data manipulation techniques using Pandas advanced functions and methods.
- Develop efficient strategies for handling and analyzing large-scale datasets.
- Implement advanced data cleaning, transformation, and merging operations.
- Create reusable and optimized data processing pipelines using Pandas.
Requirements
- Basic knowledge of Python programming
- Basic understanding of Pandas library and its core functionalities
- Familiarity with fundamental data analysis concepts
- Experience working with datasets in various formats (CSV, JSON, Excel, etc.)
Description
Pandas is a Python library used by data analysts and data scientists to clean, transform, and analyze data. If you have basic knowledge of pandas, then this course is for you.
Advanced-Data Wrangling with Pandas is an intensive course designed to elevate your data manipulation skills to the expert level. This comprehensive program dives deep into the powerful Pandas library, equipping you with advanced techniques to tackle complex data challenges efficiently.
Throughout nine carefully structured sections, you'll master a wide array of advanced topics. Starting with a refresher on Pandas fundamentals, you'll quickly progress to advanced string manipulation, DateTime handling, and multi-indexing techniques. The course covers crucial skills such as managing missing data, outlier detection, and sophisticated merging and joining operations.
You'll learn to optimize your code for performance, work with large datasets, and integrate Pandas with other data science libraries. Each section combines theoretical lectures with hands-on exercises, ensuring you can immediately apply your new knowledge to real-world scenarios.
Highlights include mastering regular expressions for text cleaning, advanced time-series analysis, and creating custom functions to extend Pandas' functionality. You'll also dive into memory optimization techniques and best practices for writing efficient Pandas code.
By the end of this course, you'll have transformed into a Pandas expert, capable of handling any data manipulation challenge with confidence and efficiency.
Who this course is for:
- Data analysts, Data scientists, and Software developers who have some experience with Pandas and want to take their skills to the next level.
- Professionals working with large or complex datasets who need to perform advanced data manipulation tasks efficiently.
Instructor
- 4.2 Instructor Rating
- 38 Reviews
- 2,902 Students
- 6 Courses
In an era where there is a huge and vast amount of data, the need for professionals who can manage and make sense of this data is needed, either by describing, modelling or identifying patterns in data.
As someone who has worked as a freelance Data Scientist for over 5 years in the data industry, I aim to train and educate you on how you can become one of the best data professionals out there either as a Data Analyst, Data Scientist or Machine Learning Engineer.
I graduated with a BSc in Statistics and currently working as a Biostatistician at a public hospital assisting medical researchers in analysing health data. As a technical writer, I have written various articles and have thousands of reads on medium.
I am proficient in Mathematics, Statistics and Programming (R and Python) and have a strong domain knowledge of the health sector.
As a data scientist, my day-to-day activities range from performing exploratory data analysis to building machine learning or deep learning models.
My biggest happiness comes when students benefit from my courses and I hope as you are reading this, you have either enrolled or are about to enroll in one of my courses.
I wish you all the best in your path to becoming a world-class data professional!