Data Analysis - How to Extract the Data
Data Extraction from different formats like csv, excel, url, databases, etc using Python and R
Updated on Sep, 2023
Language - English
Data Analysis,IT Certification
Lectures -11
Duration -6 hours
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"!
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
Goals
What will you learn in this course:
- 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
What are the prerequisites for this course?
- Basic experience with the Python and R programming language
Curriculum
Check out the detailed breakdown of what’s inside the course
Data Analysis - How to Extract the Data
10 Lectures
-
Introduction
01:38
01:38
-
Data Extraction from CSV File
42:02
42:02
-
Data Extraction from Excel File
50:40
50:40
-
Data Extraction from CLIPBOARD, URL, XML & JSON Files
50:04
50:04
-
Data Extraction from Databases - Part 1
52:31
52:31
-
Data Extraction from Databases - Part 2
52:39
52:39
-
Loading data into Python
40:33
40:33
-
Loading data from CSV, Excel & URL into Python
21:24
21:24
-
What is Data Science
30:42
30:42
-
What is Machine Learning
25:06
25:06
Instructor Details
DATAhill Solutions Srinivas Reddy
Data ScientistMr. 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.
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