Complete Hands On Pandas Bootcamp with a Real World Project
Learn everything about pandas data manipulation in Python. Gain hands-on experience with real-world datasets and master data analysis techniques. Perfect for data scientists and machine learning professionals. Start today!
What you’ll learn
- Learn everything about pandas right from scratch with hands on implementation of a project.
- Gain a deep and hands-on understanding of pandas data structures.
- Implement Pandas Series Methods and DataFrames in depth
- Implement GroupBy, Slicing, Aggregates and Reshaping With Pivots
- Join, Melt, cut, transform, clean, filter, groupby, pivot, merge and otherwise manipulate any dataset.
- Practice reading data from the web, pickles, Excel files right within pandas.
- Implement advance Pandas DataFrame manipulations: multiIndexing, stacking, hierarchical indexing, pivoting, melting and more.
- Import, clean, and merge messy Data and prepare Data for Machine Learning
- Merge and Concatenate many Datasets efficiently.
- Scale and Automate data merging
- Clean and format data easily.
- Detect and intelligently fill missing values.
- Group, aggregate and summarize your data.
- Implement important methods, attributes, and techniques to manipulate data in pandas and python
- Learn and practice all relevant Pandas methods and workflows with Real-World Datasets
- Implement a hands on project and add it to your resume/portfolio
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This course covers everything you need to know about Pandas ( Beginner to Advanced) with a hands on real world project. It covers most important constructs of Pandas as detailed below –
Learn everything about pandas right from scratch with hands on implementation with 3 projects.
Gain a deep and hands-on understanding of pandas data structures.
Learn Series at a Glance – Series Methods and Handling
Implement DataFrames in depth
Implement GroupBy, Slicing, Aggregates and Reshaping With Pivots
Join, Melt, cut, transform, clean, filter, groupby, pivot, merge and otherwise manipulate any dataset.
Practice reading data from the web, pickles, Excel files right within pandas.
Implement advance Pandas DataFrame manipulations: multiIndexing, stacking, hierarchical indexing, pivoting, melting and more.
Import, clean, and merge messy Data and prepare Data for Machine Learning
Merge and Concatenate many Datasets efficiently.
Scale and Automate data merging
Clean and format data easily.
Detect and intelligently fill missing values.
Group, aggregate and summarise your data.
Implement important methods, attributes, and techniques to manipulate data in pandas and python.
Learn and practice all relevant Pandas methods and workflows with Real-World Datasets with Quizzes to test your understanding.
Implement a hands on project and add it to your portfolio
The Pandas Library is the Heart of Python Data Science because it enables you to import, clean, join/merge/concatenate, manipulate, and deeply understand your Data and finally prepare/process Data for further Statistical Analysis, Machine Learning etc. It’s crucial to develop a thorough proficiency in Pandas to get into data science field. This course is all you need! Get started today.
Who this course is for:
- Anyone who wants to get into data science and Machine learning
- Everyone who wants to master large, messy and unclean Datasets
- Data Scientists
- Machine Learning Professionals
- Anyone interested in mastering data analysis with python
- Anyone looking to deeply understand and master pandas
- Data Scientists who want to improve their Data Handling/Manipulation skills.
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