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Python - Data Analytics - Real World Hands-on Projects

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Python - Data Analytics - Real World Hands-on Projects

Learn with these real time data analytics projects for job interviews

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Data Science Lovers

English [CC]

category icon Development ,Data Science,Python

Lectures -16

Resources -8

Quizzes -8

Duration -4 hours

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Course 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 datasciencelovers@gmail.com


The projects are :

  • Project 1 - Weather Data Analysis

  • Project 2 - Cars Data Analysis

  • Project 3 - Police Data Analysis

  • Project 4 - Covid Data Analysis

  • Project 5 - London Housing Data Analysis

  • Project 6 - Census Data Analysis

  • Project 7 -  Data Analysis

  • Project 8 - Netflix Data Analysis


Some 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.

Goals

* Learn Data Analysis with Python

* Learn Basic Data Science

* Learn about Python Libraries - Pandas, Matplotlib, Numpy

* Learn Python Programming Language

* Use these projects in Resume/CV, college submission

* All projects are Solved, and available with Python Source Codes files & dataset files

Prerequisites

* 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

Python - Data Analytics - Real World Hands-on Projects

Curriculum

Check out the detailed breakdown of what’s inside the course

Python Data Analytics Projects

16 Lectures
  • play icon Project 1 - Weather Data Analysis 46:19 46:19
  • play icon Quiz Project 1 - Weather Data Analysis
  • play icon Project 2 - Cars Data Analysis 17:23 17:23
  • play icon Quiz Project 2 - Cars Data Analysis
  • play icon Project 3 - Police Data Analysis 19:02 19:02
  • play icon Quiz Project 3 - Police Data Analysis
  • play icon Project 4 - Covid-19 Data Analysis 26:24 26:24
  • play icon Quiz Project 4 - Covid-19 Data Analysis
  • play icon Project 5 - London Housing Data Analysis 32:06 32:06
  • play icon Quiz Project 5 - London Housing Data Analysis
  • play icon Project 6 - Census Data Analysis 21:47 21:47
  • play icon Quiz Project 6 - Census Data Analysis
  • play icon Project 7 - Data Analysis 21:23 21:23
  • play icon Quiz Project 7 - Data Analysis
  • play icon Project 8 - Netflix Data Analysis 01:11:57 01:11:57
  • play icon Quiz Project 8 - Netflix Data Analysis

Instructor Details

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