Published 1/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.14 GB | Duration: 4h 16m
Learn Data Analysis and move towards learning Data Science
What you’ll learn
Python Libraries – Pandas, Matplotlib, Numpy
Python Programming Language
Basic Data Science
Data Analytics Projects solved with Python
All projects are Solved, and available with Python Source Codes files & dataset files
These projects can be used in Resume/CV, college submission
Requirements
Beginners 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 download with this course
This course is for beginners as well as intermediate level … You will enjoy it.
Description
In this course, we have uploaded 8 Data Analytics Projects, solved with Python.These projects can used if you are looking for a starting level job as a Data Analyst.If you are a student, you can use these projects to submit in college/institute.The source codes and datasets files are available to download.All the projects are created with a very easy explanation.We have mainly used the popular Python Pandas Library, along with Matplotlib to solve these projects.To buy our Data Analyst Study Material , you can mail us at [email protected] projects are :Project 1 – Weather Data AnalysisProject 2 – Cars Data AnalysisProject 3 – Police Data AnalysisProject 4 – Covid Data AnalysisProject 5 – London Housing Data AnalysisProject 6 – Census Data AnalysisProject 7 – Udemy Data AnalysisProject 8 – Netflix Data AnalysisSome basic examples of commands used in these projects are :* 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_datetime( ) – Converts the data-type of Date-Time Column into datetime[ns] datatype.* dt.year.value_counts( ) – It counts the occurrence of all individual years in Time 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.
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
Beginners looking for job as a Data Analyst,Students searching for projects to submit in college/institute,Anyone interested in Data Science and Data Analytics
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