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Data Analysis - How to Extract the Data

Created by DATAhill Solutions Srinivas Reddy, Last Updated 23-Jan-2020, Language:English

Data Analysis - How to Extract the Data

Data Extraction from different formats like csv, excel, url, databases, etc using Python and R

Created by DATAhill Solutions Srinivas Reddy, Last Updated 23-Jan-2020, Language:English

What Will I Get ?

  • 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

Requirements

  • Basic experience with the Python and R programming language

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"!

Over the course of 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 (*cough* too long *cough*) 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 this course is for:

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

Course Content

DATAhill Solutions Srinivas Reddy

Data Scientist

Mr. Srinivas Reddy is Founder & MD of DATAhill Solutions

He is Research Scholar (Ph.D) on Artificial Intelligence & Machine Learning

He Received Masters of Technology in Computer Science & Engineering from JNTU, MICROSOFT Certified Professional, IBM Certified Professional & Certified from IIT Kanpur & IIT Ropar.

Having 10+ Years of Experience in Software & Training.

His Experience includes Managing, Data Processing, Data Cleaning, Predicting and Analyzing of Large volume of Business Data.

Expertise in Data Science, Data Analytics, Machine Learning, Deep Learning, Artificial Intelligence, Python, R, Weka, Data Management & BI Technologies.

Having Patents and Publications in Various Fields such as Artificial Intelligence, Machine Learning and Data Science Technologies.

Professionally, He is Data Science Management Consultant with over 7+ years of Experience in Finance, Retail, Transport and other Industries.