Introduction to Data Analysis from Zero to Hero

Introduction to Data Analysis from Zero to Hero, available at Free, has an average rating of 4.3, with 18 lectures, based on 679 reviews, and has 14304 subscribers.

You will learn about What is data analysis? How data analysis started? Who is a data analyst, data engineer and data scientist? What type of questions data analysis can answer? What are the types of data analysis ? Why data analysis is important? How data analysis is done? What skills are needed for a data analyst? How to start studying for data analysis? What certificates are available for a data analyst? What books should I read as a data analyst? This course is ideal for individuals who are Anyone who is interested to become a Data Analyst It is particularly useful for Anyone who is interested to become a Data Analyst.

Enroll now: Introduction to Data Analysis from Zero to Hero

Summary

Title: Introduction to Data Analysis from Zero to Hero

Price: Free

Average Rating: 4.3

Number of Lectures: 18

Number of Published Lectures: 18

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

What is data analysis?
How data analysis started?
Who is a data analyst, data engineer and data scientist?
What type of questions data analysis can answer?
What are the types of data analysis ?
Why data analysis is important?
How data analysis is done?
What skills are needed for a data analyst?
How to start studying for data analysis?
What certificates are available for a data analyst?
What books should I read as a data analyst?

Who Should Attend

Anyone who is interested to become a Data Analyst

Target Audiences

Anyone who is interested to become a Data Analyst

I want to be a data analyst as soon as possible as everyone is quickly involved in this fields posting their online certificates on LinkedIn!

I have heard the above wish so many times that I can’t count! Therefore, as my role is a Data Superhero, I will take your hand out of all that chaos! I will help you to become your own Data Superhero!

In this brief course, you be introduced to the main concepts in data analysis. You will understand the meaning of data analysis as well as the tasks and responsibilities of a data analyst and much more.

For me, I was so lost at the beginning of my journey in the data analysis field. Therefore, I want to help others to start their journey in this amazing field.

If you are looking for a quick and easy introduction to data analysis, this course is definitely for you!

On the other hand, if you are an expert in the data analysis field, then this course will give you an overview about the field of data analysis.

So grab your coffee and watch my course ! I hope you enjoy it!

I will be waiting for your generous review !

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Important Note From the Instructor

Lecture 3: What is Data Analysis ?

Lecture 4: How Data Analysis Started ?

Lecture 5: Who is a Data Analyst, Data Engineer, and Data Scientist?

Lecture 6: What Type of Questions a Data Analyst Can Answer ?

Lecture 7: What are the Types of Data Analysis ?

Lecture 8: Why Data Analysis is Important?

Lecture 9: Example of Companies Who Implemented Data Analysis

Lecture 10: How Data Analysis is Done ?

Lecture 11: What Skills are Needed for a Data Analyst (1) ?

Lecture 12: What Skills are Needed for a Data Analyst (2) ?

Lecture 13: What Skills are Needed for a Data Analyst (3) ?

Lecture 14: How to Start Studying for Data Analysis (1) ?

Lecture 15: How to Start Studying for Data Analysis (2) ?

Lecture 16: What Certificates are Available for a Data Analyst ?

Lecture 17: What Books Should I Read as a Data Analyst ?

Lecture 18: Thank you and Good Bye !

Instructors

Reem Alashhab
Data Analyst

Rating Distribution

1 stars: 18 votes
2 stars: 45 votes
3 stars: 135 votes
4 stars: 196 votes
5 stars: 285 votes

Frequently Asked Questions

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

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