Pandas with Python

Analyze data quickly and easily with Python's powerful pandas library
Rating: 3.5 out of 5 (49 ratings)
9,913 students
Pandas with Python
Rating: 3.5 out of 5 (49 ratings)
9,912 students
Perform a multitude of data operations in Python's popular "pandas" library including grouping, pivoting, joining and more!
Possess a strong understanding of manipulating 1D, 2D, and 3D data sets
Learn hundreds of methods and attributes across numerous pandas objects
Resolve common issues in broken or incomplete data sets

Requirements

  • Basic / intermediate experience with Microsoft Excel or another spreadsheet software (common functions, vlookups, Pivot Tables etc)
  • Basic experience with the Python programming language
  • Strong knowledge of data types (strings, integers, floating points, booleans) etc
Description

Why learn pandas?

If you've spent time in a spreadsheet software like Microsoft Excel, Apple Numbers, or Google Sheets and are eager to take your data analysis skills to the next level, this course is for you!


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. Introduction Series & DataFrame

2. Date Range & Inspecting Data

3. Indexing & Slicing on DataFrame - 1

4. loc & iloc

5. Indexing & Slicing on DataFrame - 2

6. Concatination & Descriptive Statistics

7. Merging DataFrames

8. Working with Text Data

9. Function Application & Loading data in Python

10. Loading Data from CSV, Excel & URL

11. Data Visualization using Pandas

12. What is Data Science

13. What is Machine Learning

Who this course is for:
  • Beginner Python developers curious about Data Science
Course content
1 section • 27 lectures • 6h 24m total length
  • Session 1. Introduction Series & DataFrame
    02:02
  • Introduction Series & DataFrame
    41:00
  • Session 2. Date Range & Inspecting Data
    00:50
  • Date Range & Inspecting Data
    29:36
  • Session 3. Indexing & Slicing on DataFrame - 1
    00:44
  • Indexing & Slicing on DataFrame - 1
    30:13
  • Session 4. loc & iloc
    00:45
  • loc & iloc
    31:18
  • Session 5. Indexing & Slicing on DataFrame - 2
    00:27
  • Indexing & Slicing on DataFrame - 2
    18:24
  • Session 6. Concatenation & Descriptive Statistics
    00:55
  • Concatenation & Descriptive Statistics
    31:54
  • Session 7. Merging DataFrames
    00:54
  • Merging DataFrames
    29:28
  • Session 8. Working with Text Data
    00:43
  • Working with Text Data
    18:40
  • Session 9. Function Application & Loading data in Python
    00:59
  • Function Application & Loading data in Python
    40:33
  • Session 10. Loading Data from CSV, Excel & URL
    00:56
  • Loading Data from CSV, Excel & URL
    21:24
  • Session 11. Data Visualization using Pandas
    00:45
  • Data Visualization using Pandas
    19:33
  • Data Science
    01:43
  • 12. What is Data Science
    30:42
  • Machine Learning
    01:27
  • 13. What is Machine Learning
    25:06
  • Summary
    03:41

Instructor
DATAhill Solutions Srinivas Reddy
  • 3.8 Instructor Rating
  • 1,792 Reviews
  • 61,963 Students
  • 18 Courses

Having 10+ Years of Experience in Software Industry which includes Development, Support & Training.

My Experience Includes Managing, Processing, Predicting and Analyzing of Large volume of Business Data.

Expertise in Data Management, BI Technologies & Data Science with Data Analytics, Machine Learning, Deep Learning & Artificial Intelligence using R Programming, Python Programming, WEKA and EXCEL.

Having publications and patents in various fields such as machine learning, data security, and data science technologies.

I received my Masters of Technology in Computer Science & Engineering from JNTU.

Professionally, I am a Data Science management consultant with over 8 years of experience in finance, retail, transport and other industries.