In today's video I am going to share everything you need to know about how a day as a data analyst looks like and what they actually do in their job on a day to day basis. I will cover 4 different areas of work as a data analyst starting from Requirement gathering and defining a problem, then the next is data acquisition and automation of the pipeline for data ingestion and maintaining data quality. Then the next step is to analyse the data and finally to tell a data story by visualising data on a dashboard.
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📚 Recommended Books
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📚 DATA VISUALISATION & STORYTELLING
Storytelling with Data: A Data Visualisation Guide for Business Professionals amzn.to/3q9ygPw
Data Visualisation: A Handbook for Data Driven Design amzn.to/3qfb1na
The Big Book of Dashboards amzn.to/3q4i3eG
Data Visualization: A Practical Introduction amzn.to/44KYrel
Storytelling with Data : Lets Practice amzn.to/44O7WcL
Tableau Desktop Specialist Certification: amzn.to/44Ocy2P
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📚 SQL
SQL for Data Analytics: amzn.to/3rROkGj
SQL 3 books in 1 : amzn.to/3KklUuY
Learning SQL: Generate, Manipulate and Retrieve Data : amzn.to/3Kn34mN
SQL Quick Start Guide: amzn.to/3KInOpx
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Data Engineering with Python : amzn.to/3YelH1Y
Data Engineering with AWS: amzn.to/3YgXoAL
Fundamentals of Data Engineering: amzn.to/3OAUVxy
Software Architecture: amzn.to/3KmNffX
System Design Interview: amzn.to/3Yhfy5q
Ace Data Science Interview: amzn.to/3rOxcBl
System Design Interview: amzn.to/3OAw8d7
Designing Machine Learning Systems: amzn.to/3YbGxiB
📚 SOFTWARE ENGINEERING
Clean Code amzn.to/47aBnr4
Clean Architecture amzn.to/3OA8VaP
The Programmatic Programmer: amzn.to/4793k2C
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⏱ TIMESTAMPS
00:00​ - Introduction
00:33 - Who is a Data Analyst
00:54 - Four different Areas of work as a Data Analyst
01:39 - Requirement Gathering
01:54 - Analytics Maturity Model
03:57 - Data Acquisition
06:08 - Clean the data
07:58 - Data Analysis
08:45 - Data Visualisation and Story Telling
10:13 - Skills required a s a Data Analyst
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