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Courses>Data Science>Complete Hands On Pandas Bootcamp with a Real World Project
DevelopmentComplete Hands On Pandas Bootcamp with a Real World Project
Price:Paid
Length:3.5 hours
Content type:video
level:all levels
Updated:19 February 2024
Published:22 August 2022
Similar courses
Opportunities
Courses>Data Science>Complete Hands On Pandas Bootcamp with a Real World Project
Complete Hands On Pandas Bootcamp with a Real World Project
5.0 (16.0)
3.5 hours
16 students
What you will learn
1Learn everything about pandas right from scratch with hands on implementation of a project.
2Gain a deep and hands-on understanding of pandas data structures.
3Implement Pandas Series Methods and DataFrames in depth
4Implement GroupBy, Slicing, Aggregates and Reshaping With Pivots
5Join, Melt, cut, transform, clean, filter, groupby, pivot, merge and otherwise manipulate any dataset.
6Practice reading data from the web, pickles, Excel files right within pandas.
7Implement advance Pandas DataFrame manipulations: multiIndexing, stacking, hierarchical indexing, pivoting, melting and more.
8Import, clean, and merge messy Data and prepare Data for Machine Learning
9Merge and Concatenate many Datasets efficiently.
10Scale and Automate data merging
11Clean and format data easily.
12Detect and intelligently fill missing values.
13Group, aggregate and summarize your data.
14Implement important methods, attributes, and techniques to manipulate data in pandas and python
15Learn and practice all relevant Pandas methods and workflows with Real-World Datasets
16Implement a hands on project and add it to your resume/portfolio
Target audiences
1Anyone who wants to get into data science and Machine learning
2Everyone who wants to master large, messy and unclean Datasets
3Data Scientists
4Machine Learning Professionals
5Anyone interested in mastering data analysis with python
6Anyone looking to deeply understand and master pandas
7Data Scientists who want to improve their Data Handling/Manipulation skills.
Requirements
1No prior programming experience required.
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

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.

Similar courses
Opportunities
Make the most out of your online education
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All rights reserved
Quick Links
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Careertail
Courses>Data Science>Complete Hands On Pandas Bootcamp with a Real World Project
DevelopmentComplete Hands On Pandas Bootcamp with a Real World Project
Price:Paid
Length:3.5 hours
Content type:video
level:all levels
Updated:19 February 2024
Published:22 August 2022
Similar courses
Opportunities
Courses>Data Science>Complete Hands On Pandas Bootcamp with a Real World Project
Complete Hands On Pandas Bootcamp with a Real World Project
5.0 (16.0)
3.5 hours
16 students
What you will learn
1Learn everything about pandas right from scratch with hands on implementation of a project.
2Gain a deep and hands-on understanding of pandas data structures.
3Implement Pandas Series Methods and DataFrames in depth
4Implement GroupBy, Slicing, Aggregates and Reshaping With Pivots
5Join, Melt, cut, transform, clean, filter, groupby, pivot, merge and otherwise manipulate any dataset.
6Practice reading data from the web, pickles, Excel files right within pandas.
7Implement advance Pandas DataFrame manipulations: multiIndexing, stacking, hierarchical indexing, pivoting, melting and more.
8Import, clean, and merge messy Data and prepare Data for Machine Learning
9Merge and Concatenate many Datasets efficiently.
10Scale and Automate data merging
11Clean and format data easily.
12Detect and intelligently fill missing values.
13Group, aggregate and summarize your data.
14Implement important methods, attributes, and techniques to manipulate data in pandas and python
15Learn and practice all relevant Pandas methods and workflows with Real-World Datasets
16Implement a hands on project and add it to your resume/portfolio
Target audiences
1Anyone who wants to get into data science and Machine learning
2Everyone who wants to master large, messy and unclean Datasets
3Data Scientists
4Machine Learning Professionals
5Anyone interested in mastering data analysis with python
6Anyone looking to deeply understand and master pandas
7Data Scientists who want to improve their Data Handling/Manipulation skills.
Requirements
1No prior programming experience required.
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
Description

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.

Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot