Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Complete Hands On Pandas Bootcamp with a Real World Project

Master powerful pandas library to analyze, manipulate data. Hands On Implementation with a real world project included.
5.0
5.0/5
(2 reviews)
13 students
Created by

9.8

CourseMarks Score®

9.8

Freshness

9.9

Feedback

9.0

Content

Platform: Udemy
Video: 3h 22m
Language: English
Next start: On Demand

Top Pandas courses:

Detailed Analysis

CourseMarks Score®

9.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

9.8 / 10
This course was last updated on 10/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.9 / 10
We analyzed factors such as the rating (5.0/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.0 / 10
Video Score: 8.1 / 10
The course includes 3h 22m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.5 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
1 resources.
0 exercise.
0 test.

Table of contents

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.

You will 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

Requirements

• No prior programming experience required.

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.

How much does the Complete Hands On Pandas Bootcamp with a Real World Project course cost? Is it worth it?

The course costs $12.99. And currently there is a 80% discount on the original price of the course, which was $64.99. So you save $52 if you enroll the course now.

Does the Complete Hands On Pandas Bootcamp with a Real World Project course have a money back guarantee or refund policy?

YES, Complete Hands On Pandas Bootcamp with a Real World Project has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Complete Hands On Pandas Bootcamp with a Real World Project course, but there is a $52 discount from the original price ($64.99). So the current price is just $12.99.

Who is the instructor? Is Naina Chaturvedi a SCAM or a TRUSTED instructor?

Naina Chaturvedi has created 4 courses that got 38 reviews which are generally positive. Naina Chaturvedi has taught 131 students and received a 3.9 average review out of 38 reviews. Depending on the information available, Naina Chaturvedi is a TRUSTED instructor.
Software Engineer
Software Engineer Naina Chaturvedi is a Software Engineer – ML and founder of bit world. She holds Master in Science (Computer Engineering) from the USA and Bachelor of Engineering (Computer Science) from University of Pune.She has worked for 7+ years as a Software Engineer and a researcher in different geographies ( US, South Korea, China, Singapore, India etc). She is a passionate programmer who has participated in numerous hackathons, online coding competitions and conferences. Her research papers have been accepted in many International conferences and published in many computer applications journals. She is here to make a difference in the world by sharing her technical expertise with people who are “willing to learn” and ready to make the “change” in the world.Show moreShow less

9.8

CourseMarks Score®

9.8

Freshness

9.9

Feedback

9.0

Content

Platform: Udemy
Video: 3h 22m
Language: English
Next start: On Demand

Students are also interested in

Review widget (for course creators):

Complete Hands On Pandas Bootcamp with a Real World Project rating
Code for the widget (just copy and paste it to your site):
<a href="https://coursemarks.com/course/complete-hands-on-pandas-bootcamp-with-a-real-world-project/" target="_blank" title="Complete Hands On Pandas Bootcamp with a Real World Project on Coursemarks.com"><img border="0" src="https://coursemarks.com/widget/98.svg" width="200px" alt="Complete Hands On Pandas Bootcamp with a Real World Project rating"/></a>