Pandas for Data Analysis in Python

Data Analysis with Pandas in Python. Beginners are welcome!

Created by : Rated :4.3 526 views

Last Updated: 2022-11-15 12:11:25 English Course Type: Self Learning

Data analysis using python
Importing and creating data frame in python
Data cleaning
Correlations

Welcome to the most comprehensive Pandas course available on Learnfly! An excellent choice for both beginners and experts looking to expand their knowledge on one of the most popular Python libraries in the world!

Pandas for Data Analysis in Python offers in-depth video tutorials on the most powerful data analysis toolkit

Why learn pandas?

If you've spent time in a spreadsheet software like MS Excel or Google Sheets and want to take your data analysis skills to the next level, this course is for you!

Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python.

Pandas is the most powerful and flexible open source data analysis/manipulation tool available in any language.

pandas is well suited for many different kinds of data:

Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet
Ordered and unordered (not necessarily fixed-frequency) time series data.
Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels
Any other form of observational / statistical data sets. The data need not be labeled at all to be placed into a pandas data structure

Data Analysis with Pandas and Python is bundled with dozens of datasets for you to use. Dive right in and follow along with my lessons to see how easy it is to get started with pandas!

There are no prerequisites for this course but basic knowledge of python is a plus.

Students and professionals who wants to do data analysis using python.
Python developer who wants to do analysis of tabular data.

Section 1 : Data Description 2 Lectures 00:19:41
Lecture 1 :
Data Description Preview
Lecture 2 :
Importing the Data
Section 2 : Creating a DataFrame 3 Lectures 00:08:14
Lecture 1 :
Series
Lecture 2 :
Creating a DataFrame
Lecture 3 :
Homework
Section 3 : Data Cleaning 1 Lectures 00:03:02
Lecture 1 :
Data Cleaning
Section 4 : Dealing with Empty cells 2 Lectures 00:10:44
Lecture 1 :
Mean Median Mode
Lecture 2 :
Empty cells
Section 5 : Dealing with Wrong Data 1 Lectures 00:12:51
Lecture 1 :
Wrong Data
Section 6 : Dealing with Wrong Datatype 1 Lectures 00:06:10
Lecture 1 :
Wrong Datatype
Section 7 : Dealing with Duplicates Data 1 Lectures 00:05:30
Lecture 1 :
Duplicates Data
Section 8 : Correlation 2 Lectures 00:03:54
Lecture 1 :
Correlation Introduction
Lecture 2 :
Correlation

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Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic.
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
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Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want.
Do i need a pc to access the course or can i do it on mobile & tablet as well?
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Can i cancel anytime?
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