Becoming a Data Analyst Using Python, from scratch
What you'll 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
- No prior experience with python or data analysis is required. This course is for the absolute begginer.
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.
Who this course is for:
- Anyone would would like to take the first steps to become a data analyst
Najib Mozahem works as a researcher and as an assistant professor at university level, where he teaches Quantitative Analysis. He holds a Bachelor’s degree in Computer and Communication Engineering, completed his MBA with distinction, and completed his PhD in Organizational Theory where he won the best thesis prize for PhD. He has also received the teaching excellence award for the year 2016 – 2017. His research interests include quantitative modeling and the study of human behavior in organizations.