Python - Data Analytics - Real World Hands-On Projects

[LeeAndro]

Last updated 2/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 2.14 GB | Duration: 4h 16m​

Start learning data analysis with these bners friendly projects

What you'll learn
Data Analytics Projects solved with Python
Basic Data Science
Python Libraries - Pandas, Matplotlib, Numpy
Python Programming Language
All projects are Solved, and available with Python Source Codes files & dataset files
These projects can be used in Resume/CV, college submission

Requirements
Bners Friendly Projects - Required only basic Python language knowledge
You can use Jupyter notebook, Google Colab etc to run the python code
All datasets & source codes are available to with this course
This course is for bners as well as intermediate level ... You will enjoy it
head - It shows the first N rows in the data (by default, N=5).* shape - It shows the total no. of rows and no. of columns of the dataframe* index - This attribute provides the index of the dataframe* columns - It shows the name of each column* dtypes - It shows the data-type of each column* unique - In a column, it shows all the unique values. It can be applied on a single column only, not on the whole dataframe.* nunique - It shows the total no. of unique values in each column. It can be applied on a single column as well as on the whole dataframe.* count - It shows the total no. of non-null values in each column. It can be applied on a single column as well as on the whole dataframe.* value_counts - In a column, it shows all the unique values with their count. It can be applied on a single column only.* info - Provides basic information about the dataframe.* size - To show No. of total values(elements) in the dataset.* duplicated( ) - To check row wise and detect the Duplicate rows.* isnull( ) - To show where Null value is present.* dropna( ) - It drops the rows that contains all missing values.* isin( ) - To show all records including particular elements.* str.contains( ) - To get all records that contains a given string.* str.split( ) - It splits a column's string into different columns.* to_date( ) - Converts the data-type of Date- Column into date[ns] datatype.* dt.year.value_counts( ) - It counts the occurrence of all individual years in column.* groupby( ) - Groupby is used to split the data into groups based on some criteria.* sns.countplot(df['Col_name']) - To show the count of all unique values of any column in the form of bar graph.* max( ), min( ) - It shows the maximum/minimum value of the series.* mean( ) - It shows the mean value of the series.You can enroll in our another course also : "Python For Data Science"

Overview
Section 1: Python Data Analytics Projects

Lecture 1 Project 1 - Weather Data Analysis

Lecture 2 Project 2 - Cars Data Analysis

Lecture 3 Project 3 - Police Data Analysis

Lecture 4 Project 4 - Covid-19 Data Analysis

Lecture 5 Project 5 - London Housing Data Analysis

Lecture 6 Project 6 - Census Data Analysis

Lecture 7 Project 7 - Udemy Data Analysis

Lecture 8 Project 8 - Netflix Data Analysis

Bners looking for job as a Data Analyst,Students searching for projects to submit in college/institute,Anyone interested in Data Science and Data Analytics

HomePage:

https://www.udemy.com/course/python_data_analytics_projects_dsl/

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