Pandas Tutorial in Urdu/Hindi (Data Analysis in Python)

Getting an introduction to doing data analysis with the Python pandas library with hours of video and code.

Created byUmair Arshad

Last updated 6/2020

Urdu

What you'll learn

The students will learn Pandas library which will be very beneficial for Data Analytics, if they want to become a Data Scientist. We will conclude our course with live Dataset Example

Course content

1 section • 6 lectures • 1h 4m total length

Pandas Tutorial 1: Basics, DataFrame, Reading/Writing Csv13:50
If you are working on data science, you must know about the panda's python module. Pandas and python make data science and analytics extremely easy and effective. In this tutorial, we will cover,
1) What is data science or data analytics?
2) What is pandas?
3) Walkthrough some basic functionality to show the power of pandas
4) Pandas installation 5) What is dataframe?
5) Create dataframe from CSV file and python dictionary
6) Dealing with rows and columns
7) Reading and writing CSV Excel file
Pandas Tutorial 2: Handling Missing value, Live Data analysis21:10
In this tutorial, we'll learn how to handle missing data in pandas using fillna, interpolate, and dropna methods. You can fill missing values using a value or list of values or use one of the interpolation methods. Remove Duplicates, Data analysis, and much more.
Pandas Tutorial 3: Answering business questions with pandas19:26
Home Task 12:24
Pandas Tutorial 4: Using Functions in Pandas7:44
Dataset

Requirements

student must have a basic knowledge of simple Python

Description

Ever wonder how you can best analyze data in python? Wondering how you can advance your career beyond doing basic analysis in excel? Want to learn how to do data analysis in python and pandas?

THEN THIS COURSE IS FOR YOU!

By taking the course, you will master the fundamental data analysis methods in python and pandas!

You'll Learn the most popular Python Data Analysis Technologies!

By the end of this course:

- Understand the data analysis ecosystem in Python.

- Learn how to use the pandas data analysis library to analyze data sets

- Analyze real datasets to better understand techniques for data analysis

At the end of this course, you will have learned a lot of the tips and tricks that cut down my learning curve as a business analyst and as a PhD Scholar doing data analysis. I designed this course for those that have an intermediate programming ability and are ready to take their data analysis skills to the next level.

You’ll understand cutting edge techniques used by data analysts, data scientists, and other data researches in Silicon Valley.

Complete with working files and code samples, over 1 hour with just 5 lectures you’ll learn all that you need to know to turn around and apply data analysis strategies to the data that you work with. You’ll be able to work alongside the instructor as we work through different data sets and data analysis approaches using cutting edge data science tools!

Who this course is for:

This course is best suited for people that need a deeper understanding of data analysis tools available today.
This course is not suited for those that want to learn how to program and have no prior programming experience.
This course is great for introductory to intermediate Python programmers or those that come from a statistical software background like R or SPSS.
Analysts who want to better understand a technical approach to analyzing data.
Scientists who want to step away from more academic programming languages and use a general-purpose language like python.
Those that are interested in learning a bit more about data analysis.
Perform data analysis with python using the pandas library.
Understand some of the basic concepts of data analysis.
Have used pandas Series and DataFrames to analyze data.
Work on Live Dataset

Who this course is for:

beginner Python Developers curious about Data science