- Introduction
- Data Analysis Process
- What's the Last Step in Data Analysis ?
- Data Gathering
- Data Cleaning Part 1
- Data Cleaning Part 2
- Data Cleaning Part 3
- Data Exploration Part 1
- Data Exploration Part 2
- Data Visualization and Recommendations
- Thank you and Good Bye
What you'll learn
- Learn About The Data Analysis Process
- Implementing Data Analysis Skills on Real Data
- Learn How To Ask Questions and Write Recommendations About Data
- Deciding If Data Analysis Is the Perfect Career Path
Description
Data analyst is a broad term for someone who analyzes data and creates insightful visualizations that decision makers can act on. Skilled data analysts are some of the most sought-after professionals in the world. Due to this high demand, many professionals move to this field without taking time to explore the skills and challenges faced while performing this job. For this reason, I created this mini course to give you a real idea about the data analyst job. I chose Google Sheets because it will be easier for you to get to know this field by using familiar tool.
This mini course will help you to decide if data analysis field is the one for you. It's best to take a practical approach when deciding to pursue any scientific field under IT and Business. In this course, you will go through the process any data analyst goes through by working on real data mini project using Google Sheets.
You don't need specific skills other than knowing how to use excel or Google Sheets in general. The data source will provided for you to apply what you learned at your own device.
Feel Free to ask questions. I will be happy to help you with answers !
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About the instructors
- 4.08 Calificación
- 13873 Estudiantes
- 3 Cursos
Reem Alashhab
Data Analyst
An ambitious , passionate , and enthusiastic data analyst who uses the power of Python and R to extract useful info from any data are put hands on !
I'm a Management Information Systems graduate from Dar Al-Hekma University, in Jeddah -Saudi Arabia. I'm interested in Data Science and Analytics since 2018. I worked on more than +20 projects related to data science. My work experience includes working as an IT Specialist in a real state company, and as a data analyst in two companies which are interested in data science. I got the Data Analysis Nano Degree from Udacity, and also the Google Data Analytics from Courseera. I have experience working with Python and R. Also, I worked on Tableau and Power BI.
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