Becoming a Data Analyst Using Python – Free Sample

Becoming a Data Analyst Using Python – Free Sample, available at Free, has an average rating of 4.45, with 22 lectures, based on 98 reviews, and has 4261 subscribers.

You will learn about Perform exploratory data analysis using the pandas library in python Write code in python that will assist them in analyzing data Produce visually appealing graphs that summarise their findings Understand the data analysis process, from reading the data set to formatting the data, leading to producing summary statistics This course is ideal for individuals who are Anyone would would like to take the first steps to become a data analyst It is particularly useful for Anyone would would like to take the first steps to become a data analyst.

Enroll now: Becoming a Data Analyst Using Python – Free Sample

Summary

Title: Becoming a Data Analyst Using Python – Free Sample

Price: Free

Average Rating: 4.45

Number of Lectures: 22

Number of Published Lectures: 22

Number of Curriculum Items: 22

Number of Published Curriculum Objects: 22

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Perform exploratory data analysis using the pandas library in python
Write code in python that will assist them in analyzing data
Produce visually appealing graphs that summarise their findings
Understand the data analysis process, from reading the data set to formatting the data, leading to producing summary statistics

Who Should Attend

Anyone would would like to take the first steps to become a data analyst

Target Audiences

Anyone would would like to take the first steps to become a data analyst

This course provides a free sample of the full course. You can enroll in this sample for free. If you like what you see, then you can enroll in the full course. This is done in order to help the students know exactly what the course is and the teaching style before having to pay any money.

The purpose of this course is to introduce non-technical students to data analysis using python. This course is for anyone who is interested in becoming a data analyst and has no experience at all with data analysis or with python. If you have no experience at all with python and with data analysis then this course is for you. At the start of the course the students will have no knowledge of data analysis or python. By the end of the course the student will be able to:

Use the Pandas library to read, modify, and analyze data
Install packages in python
Produce visually appealing graphs that help you tell a story
Uncover relationships between different types of variables
Understand how a data analyst thinks
Have a basic but solid understanding of how python can be used to analyze data
Create interactive maps
Manipulate the data so that it is in a proper format

The course starts from the very basics and slowly introduces the student to the most important functions and commands used in data analysis. This is done without relying heavily on programming. This course will show how to analyze data without having to write long lines of code.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Downloading the necessary program

Lecture 3: The Anaconda interface

Lecture 4: Jupyter lab – navigating the user interface and executing code

Lecture 5: Back to the Anaconda interface – viewing libraries

Chapter 2: A First Look at the Pandas library

Lecture 1: First look at the Pandas library

Lecture 2: First look at the data

Lecture 3: Adjusting the name of the data set

Chapter 3: Looking More Closely at the Data

Lecture 1: Using the info() function

Lecture 2: Counting the null values

Lecture 3: Zooming in to a specific row

Lecture 4: Zooming into a specific column

Lecture 5: Zooming in to a certain row and column

Lecture 6: Removing rows and columns

Chapter 4: Using Conditions to Perform Operations

Lecture 1: One condition – part 1

Lecture 2: One condition – part 2

Lecture 3: Two conditions – the AND operator

Lecture 4: Two conditions – the OR operator

Lecture 5: Less than or equal to and greater than or equal to

Lecture 6: Not equal to

Lecture 7: The isin() method

Lecture 8: The isna() method

Instructors

Najib Mozahem
Assistant Professor

Rating Distribution

1 stars: 1 votes
2 stars: 2 votes
3 stars: 12 votes
4 stars: 44 votes
5 stars: 39 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu