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Data Analysis Course: Learn How to Extract the Data

person icon DATAhill Solutions Srinivas Reddy

4.2

Data Analysis Course: Learn How to Extract the Data

Learn data extraction from CLIPBOARD, URL, XML & JSON Files & loading data from CSV, Excel & URL into Python

updated on icon Updated on Jun, 2025

language icon Language - English

person icon DATAhill Solutions Srinivas Reddy

English [CC]

category icon Development ,Data Science,Data Analysis

Lectures -11

Duration -6 hours

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4.2

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Course Description

Data Analysis with Pandas and Python introduces you to the popular Pandas library built on top of the Python programming language.

Pandas is a powerhouse tool that allows you to do anything and everything with colossal data sets -- analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more!

I call it "Excel on steroids"!

For more than 19 hours, I'll take you step-by-step through Pandas, from installation to visualization! We'll cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We'll dive into tons of different datasets, short and long, broken and pristine, to demonstrate the incredible versatility and efficiency of this package.

Data Analysis with Pandas and Python is bundled with dozens of datasets for you to use. Dive right in and follow along with my lessons to see how easy it is to get started with pandas!

Whether you're a new data analyst or have spent years in Excel, Data Analysis with pandas and Python offers you an incredible introduction to one of the most powerful data toolkits available today!

1. Data Extraction from CSV File.

2. Data Extraction from Excel File.

3. Data Extraction from CLIPBOARD, URL, XML & JSON Files.

4. Data Extraction from Databases - Part 1.

5. Data Extraction from Databases - Part 2.

6. Loading data into Python.

7. Loading data from CSV, Excel & URL into Python.

8. What is Data Science?

9. What is Machine Learning?

Who is this course for?

  • Data analysts and business analysts.
  • Excel users looking to learn more powerful software for data analysis.

Goals

  • Data Extraction from CSV File.
  • Data Extraction from Excel File.
  • Data Extraction from CLIPBOARD, URL, XML & JSON Files.
  • Data Extraction from Databases.
  • Loading data into Python.
  • Loading data from CSV, Excel & URL into Python.
  • Data Analysis on the loaded data.

Prerequisites

  • Basic experience with the Python and R programming language.
Data Analysis Course: Learn How to Extract the Data

Curriculum

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

Data Analysis - How to Extract the Data

10 Lectures
  • play icon Introduction 01:38 01:38
  • play icon Data Extraction from CSV File 42:02 42:02
  • play icon Data Extraction from Excel File 50:40 50:40
  • play icon Data Extraction from CLIPBOARD, URL, XML & JSON Files 50:04 50:04
  • play icon Data Extraction from Databases - Part 1 52:31 52:31
  • play icon Data Extraction from Databases - Part 2 52:39 52:39
  • play icon Loading data into Python 40:33 40:33
  • play icon Loading data from CSV, Excel & URL into Python 21:24 21:24
  • play icon What is Data Science 30:42 30:42
  • play icon What is Machine Learning 25:06 25:06

Instructor Details

DATAhill Solutions Srinivas Reddy

DATAhill Solutions Srinivas Reddy

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