Data analysis with python
Data analysis with python
Published 03/2023
Duration: 08:21:41 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.58 GB
Genre: eLearning | Language: English
Published 03/2023
Duration: 08:21:41 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 3.58 GB
Genre: eLearning | Language: English
Python for Data Analysis
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.
Requirements
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
Description
· What you will learn
· 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.
Who this course is for:
The guy who want to learn the Basic windows 10 computer & laptop with minimum intel core 2 due processor & 4 GB ramdata Analysis & data wrangling & cleaning & data Visualization's & also the data Scrapping and then Analysing the data with only python.
No coding Experience required to learn.
Desired to be a data Analyst
More Info