Python for data Analysis

Hindi

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Last Updated: 2023-03-13 10:03:49 English Course Type: Self Learning

Develop Python code for cleaning and preparing data for analysis - including handling missing values, formatting, normalizing, and binning data
Perform exploratory data analysis and apply analytical techniques to real-word datasets using libraries such as Pandas & Numpy.
Manipulate data using dataframes, summarize data, understand data distribution, perform correlation and create data pipelines
Data Wrangling In this module, you will learn how to perform some fundamental data wrangling tasks that, together, form the pre-processing phase of data analysis. These tasks include handling missing values in data, formatting data to standardize it and make it consistent, normalizing data, grouping data values into bins, and converting categorical variables into numerical quantitative variables.
Exploratory Data Analysis
In this module, you will learn what is meant by exploratory data analysis, and you will learn how to perform computations on the data to calculate basic descriptive statistical information, such as mean, median, mode, and quartile values, and use that information to better understand the distribution of the data. You will learn about putting your data into groups to help you visualize the data better, you will learn how to use the Pearson correlation method to compare two continuous numerical variables, and you will learn how to use the Chi-square test to find the association between two categorical variables and how to interpret them.
The guy who want to learn the data Analysis & data wrangling & cleaning & data Visualization's & also the data Scrapping and then Analysing the data with only python.

What you’ll learn

Data Analysis in the Python
Learning the Numy, Pandas, Matplotlib & Seaborn Library for data Analysis & data Wrangling & Cleaning.
Learn the AutoViz Library in the python to automatically analyze the data in the python.
Learn the web Scrapping & then Analyze the scraped data from the websites.

Are there any course requirements or prerequisites?

Basic windows 10 computer & laptop with minimum intel core 2 due processor & 4 GB ram
No coding Experience required to learn.
Desired to be a data Analyst

Who this course is for:

The guy who want to learn the data Analysis & data wrangling & cleaning & data Visualization's & also the data Scrapping and then Analysing the data with only python.

Basic windows 10 computer & laptop with minimum intel core 2 due processor & 4 GB ram
No coding Experience required to learn.
Desired to be a data Analyst

python course
data analysis
data analysis with python
data visualisation
data visualisation with python

Section 1 : Python Topics 14 Lectures 02:05:34
Lecture 1 :
Introduction & installation Preview
Lecture 2 :
Variables in python
Lecture 3 :
Data Types & Operators
Lecture 4 :
Python Strings
Lecture 5 :
Data Structures in Python
Lecture 6 :
Conditional statement & loops
Lecture 7 :
Function's & lambda in python
Lecture 8 :
Classes & inheritence in python
Lecture 9 :
Numpy in Python
Lecture 10 :
Pandas in python
Lecture 11 :
Matplotlib in python
Lecture 12 :
Seaborn in python
Lecture 13 :
Auto Visualization in python
Lecture 14 :
Web Scrapping in python

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