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Data Analytics Using Pandas

Course Overview


Data Analytics Using Pandas developer is one of the top most in demand job and fast-growing career paths.

Course Objective

Data Analysis is one of the most important and must-have skills for all data scientists and analysts. Pandas is a very popular module of Python that greatly assists in performing analysis on vast amounts of data. With this course, you will learn how to handle various operations using Pandas along with logical categorizing, data manipulation, and statistical analysis. You will also be taught to create, deploy and navigate data frames along with visualizing, grouping, slicing, and indexing them. After the completion of this course, you will gain a globally-recognized certificate and be able to work with almost any real-world dataset applications around the world.

Duration : 3 hrs


 

Course Fee: 1799 INR

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Those who have already paid or enrolled for the course need not to pay

Course Content

Introduction 

Setting up Pandas Environment 

An Introduction to Jupyter Notebook 

Loading Data into Pandas 

A Deeper Look Into Data 

DataFrames - Basic Functions 

Dataframes- rows and columns 

Sorting DataFrames 

Handling Datetime Fields in Pandas 

Statistical Functions in Pandas 

Pandas - Indexes 

Data Grouped Representation 

Data Visualization 

Adding New Data - Merge, Join 

Adding New Data - Append/Concat 

Final Project & End Note

Industry Job roles

  1. Data Cleaning and Preprocessing: Using Pandas to clean and preprocess data by handling missing values, removing duplicates, standardizing data formats, and transforming data into a usable format for analysis.Data Manipulation and Transformation: Applying Pandas functions and methods to manipulate, transform, and reshape data. This includes merging datasets, aggregating data, performing calculations, and creating new variables.