Are you interested in advancing your skills in data handling? The Complete Pandas Bootcamp 2023: Data Science with Python is the perfect course for you. With its impressive 4.6635 aggregate rating and 3152 reviews, this course has proven to be one of the most relevant and comprehensive courses on Pandas. Its comprehensive coverage of all relevant methods, attributes, and workflows for real-world projects makes it a must-have skill for Machine Learning & Finance and much more.
What Does The Course Entail?
The Complete Pandas Bootcamp 2023: Data Science with Python course has a goal, which is to bring your data handling skills to the next level to build your career in Data Science, Machine Learning, Finance & co. The course has 5 parts:
Pandas Basics - from Zero to Hero (Part 1)
This course offers pandas basics for beginners to get started and advanced concepts like indexing and filtering data.
The complete data workflow A-Z with Pandas: Importing, Cleaning, Merging, Aggregating, and Preparing Data for Machine Learning. (Part 2)
The complete data workflow A-Z with Pandas is another part of the course that covers the whole process of pandas data cleaning, preparing, and aggregating data for machine learning practices.
Two Comprehensive Project Challenges that are frequently used in Data Science job recruiting/assessment centers: Test your skills! (Part 3)
The two Comprehensive Project Challenges in the course are frequently used in Data Science job recruiting/assessment centers to test your skills. This part of the course provides you with the opportunity to test your skills and work on significant projects.
Application 1: Pandas for Finance, Investing and other Time Series Data (Part 4)
This part of the course delves into the extensive application of Pandas for finance, investing, and other time series data, making it the perfect match if you primarily want to use Python for Data Science or as a replacement for Excel.
Application 2: Machine Learning with Pandas and scikit-learn (Part 5)
Pandas and Scikit-learn offer an extensive selection of tools and methods for machine learning techniques. This part covers all relevant libraries such as Matplotlib and Seaborn for Data Visualization | Numpy, Scipy, and Scikit-Learn for Machine Learning, scientific, and statistical computation.
Why Should You Learn Pandas?
Data Science is gradually taking over the world, and with a $100k+ salary, data science professionals are in high demand. Learning Pandas will enable you to take advantage of this opportunity and advance your career.
The Pandas Library is the heart of Python Data Science, and with powerful tools for Science, Statistics, Finance, and Machine Learning, Python is a great platform/environment for Data Science. Pandas enables you to import, clean, join/merge/concatenate, manipulate, and deeply understand your data and prepare/process Data for further Statistical Analysis, Machine Learning, or Data Presentation. In reality, all of these tasks require a high proficiency in Pandas. Data Scientists typically spend up to 85% of their time manipulating Data in Pandas.
Can You Start Right Now?
The Complete Pandas Bootcamp 2023: Data Science with Python course is open to anyone interested in data science regardless of their experience. A frequently asked question among Python Beginners is "Do I need to become an expert in Python coding before I can start working with Pandas?" The answer is NO! You require some Python Basics like data types, simple operations/operators, lists and numpy arrays. In the Appendix of this course, you can find a Python crash course, which is tailor-made and sufficient for Data Science purposes!
In addition, this course covers fundamental statistical concepts (coding with Scipy).
Why Should You Take This Course?
The Complete Pandas Bootcamp 2023: Data Science with Python course comes with several benefits that make it worth the investment:
Most Relevant and Comprehensive Course on Pandas
With over 34 hours of video content, 150+ exercises, and two large and comprehensive Final Projects, this course provides the most relevant and comprehensive course on Pandas.
Most Up-to-Date Course
This is the most up-to-date course—the first that covers Pandas Version 1.x. The Pandas Library has experienced massive improvements in the last couple of months. Working with and relying on outdated code can be painful.
Covers All Relevant Libraries
Pandas isn't an isolated tool. It is used together with other Libraries. This course covers all these libraries.
Real-world Projects
In real-world projects, coding and the business side of things are equally important. This is probably the only Pandas course that teaches both: in-depth Pandas Coding and Big-Picture Thinking.
Plenty of Opportunities for Practice
If you want to learn Pandas by practicing, this course is perfect for you. With more than 150 exercises, you can select the level of difficulty with optional hints and guidance/instruction.
Pandas Encyclopedia
This course serves as a Pandas Encyclopedia and covers all relevant methods, attributes, and workflows for real-world projects. The course offers help and solutions for any method or workflow problems that you may encounter.
Teaches You What You Should Not Do
Pandas is a very powerful tool. But it also has pitfalls that can lead to unintended and undiscovered errors in your data. This course focuses on commonly made mistakes and errors and teaches you what you should not do.
Guaranteed Satisfaction or Your Money Back
The course guarantees satisfaction. Otherwise, get your money back with a 30-Days-Money-Back-Guarantee.
With all these benefits and affordable pricing, The Complete Pandas Bootcamp 2023: Data Science with Python is the perfect match and investment for anyone interested in advancing their skills in data handling and statistics.
