FREE Python – Data Analytics – Real World Hands-on Projects [100% OFF UDEMY COUPON]

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.

Kindly subscribe ‘Data Science Lovers’ on YouTube and show your support.

To buy our Data Analyst Study Material , you can mail us at [email protected]

The 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 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.

Data Science Lovers (YouTube)

What you'll learn :

1. Data Analytics Projects solved with Python
2. Basic Data Science
3. Python Libraries – Pandas, Matplotlib, Numpy
4. Python Programming Language
5. All projects are Solved, and available with Python Source Codes files & dataset files
6. These projects can be used in Resume/CV, college submission

!!! External links may contain affiliate links, meaning we get a commission if you decide to make a purchase. READ OUR DISCLOSURE

Course Price :

₹799 Discount 100% off

Apply this Coupon :


If Coupon is Expired/Invalid !!!

Possible Reasons!

  • One coupon can last maximum for 2 days. Your are Late 
  • Author revoked the coupon. Author have rights to revoke the coupon any time.You missed it Bad Luck!!! 

But Don’t worry , if you missed it, join our groups to receive all coupon instantly whenever it is posted.

How To Use Coupon Codes:

Course Link :

100% off Coupon