Learn Data Analysis using Pandas and Python (Module 23)

Learn Data Analysis using Pandas and Python (Module 2/3), available at Free, has an average rating of 3.95, with 9 lectures, based on 1126 reviews, and has 42810 subscribers.

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You will learn about Understand the basics of Data Analysis and Data Manipulation using Pandas. Learn Quick and Powerful techniques for Data Analysis This course is ideal for individuals who are Anyone who has or has not completed Module # 1 of the data science series. or Anyone who wants to learn about Data Analysis using Pandas from absolute scratch. or Anyone who is curious to know what is Data Science and what does a Data Scientist do in his/her day job. It is particularly useful for Anyone who has or has not completed Module # 1 of the data science series. or Anyone who wants to learn about Data Analysis using Pandas from absolute scratch. or Anyone who is curious to know what is Data Science and what does a Data Scientist do in his/her day job.

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

Summary

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

Price: Free

Average Rating: 3.95

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 9

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Understand the basics of Data Analysis and Data Manipulation using Pandas.

Learn Quick and Powerful techniques for Data Analysis

Who Should Attend

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.

Target Audiences

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.

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.?

Course Curriculum

Chapter 1: Introduction and Installation

Lecture 1: Introduction to Data Science and Pandas

Lecture 2: Installing Pandas and setting up your environment

Chapter 2: Data Preparation

Lecture 1: Loading Data from CSV, TSV and other sources

Lecture 2: Data Preparation and Data Study

Lecture 3: Data Massaging and Filtering

Lecture 4: String Manipulations and Aggregations

Lecture 5: Learn LOC and DROPNA

Chapter 3: Tips and Tricks

Lecture 1: Working with Plots, Merging Data, Pivoting data and using Pivot Tables

Lecture 2: Working with Shift Function and writing Data to CSV

Instructors

Rakesh Gopalakrishnan
Over 600,000 Students

Rating Distribution

1 stars: 19 votes

2 stars: 28 votes

3 stars: 163 votes

4 stars: 482 votes

5 stars: 434 votes

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