Learn Data Analysis using Pandas and Python (Module 2/3)

Analyze and Manipulate data using using Python and powerful Pandas.
Rating: 4.4 out of 5 (710 ratings)
27,694 students
Learn Data Analysis using Pandas and Python (Module 2/3)
Rating: 4.4 out of 5 (710 ratings)
27,694 students
Understand the basics of Data Analysis and Data Manipulation using Pandas.
Learn Quick and Powerful techniques for Data Analysis

Requirements

  • This course does not have any pre-requisities. All you need is a Windows or a MAC machine.
Description

Are you completely new to Data science?

Have you been hearing these buzz words like Machine learning, Data Science, Data Scientist, Text analytics, Statistics and don't know what this is?

Do you want to start or switch career to Data Science and analytics?

If yes, then I have a new course for you. This is module # 2 of the Data Science series. In this course, I cover the absolute basics data analysis and manipulation techniques using Pandas. This course will not cover every syntax available in Pandas, but will take you a level where you can do basic to intermediate data analysis, before proceeding towards feeding it to a data science algorithm.

If are you new to data science, I would recommend you to please take Module # 1(Introduction to Data Science using Python) before starting with this course. We will go through commonly used terms and write plenty of code in Python. I spend some time walking you through different career areas in the Business Intelligence Stack, where does Data Science fit in, What is Data Science and what are the tools you will need to get started.

I will be using Python and Pandas in a series of such courses. I am not assuming any prior knowledge in this area. I have given some reading materials, which will help you solidify the concepts that are discussed in this lectures.

This course will the second data science course in a series of courses. Consider this course as a 101 level data manipulation course, where I cover enough to raise your curiosity in the field of Data Science and Analytics.

The other modules will cover more complex concepts. 


Who this course is for:
  • Anyone who has or has not completed Module # 1 of the data science series.
  • Anyone who wants to learn about Data Analysis using Pandas from absolute scratch.
  • Anyone who is curious to know what is Data Science and what does a Data Scientist do in his/her day job.
Course content
3 sections • 9 lectures • 1h 38m total length
  • Introduction to Data Science and Pandas
    06:39
  • Installing Pandas and setting up your environment
    02:22
  • Loading Data from CSV, TSV and other sources
    10:16
  • Data Preparation and Data Study
    12:08
  • Data Massaging and Filtering
    14:57
  • String Manipulations and Aggregations
    11:10
  • Learn LOC and DROPNA
    13:25
  • Working with Plots, Merging Data, Pivoting data and using Pivot Tables
    15:09
  • Working with Shift Function and writing Data to CSV
    12:25

Instructor
Over 260,000 Students
Rakesh Gopalakrishnan
  • 4.4 Instructor Rating
  • 58,514 Reviews
  • 524,926 Students
  • 7 Courses

I am a coder, manager, educator and a gamer. I love data and analytics. In my day job, I work with database technologies including SQL , Big Data and Tableau. I am passionate about technologies and love coding and managing teams. In my spare time I like to teach Big Data analytics, Databases, Programming etc. I am currently working on certain machine learning and Data Science projects and love to explore more in the Statistics field.