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Data Analytics for Beginners
What is Data Analytics?
Types of Data Analytics
House Price Case Study
Data Analyst Skills
Introduction to Pandas
What is EDA?
Python Libraries for performing EDA
What is NumPy?
Creating Numpy Array
Array manipulation
Advantages of Numpy over List
Difference between Data Analyst and Data Scientist
Data Analysis Interview questions
Intro
Create GA4 account/property
GA4 account structure
Overview of the admin panel
Create data stream in GA4
Settings in data stream
Standard reports in Google Analytics 4
Explorations in Google Analytics 4
Advertising reports
Install Google Analytics 4
Event tracking in Google Analytics 4
Finding event data in explorations
Next steps with Google Analytics 4
Intro
Changes in The Industry
How Tom Started in Data
“Less Upfront Learning, More On-the-Fly Learning”
“Try an Online School”
Portfolio Projects
Soft/Hard Skills
Lean/Minimal Roadmap
1. Working With Data
2. Learning a Tool
3. Statistics
4. Visualization and Storytelling
How Long Does It Take to Become a Data Analyst?
“Define Your Own Personal Roadmap”
“Have More Confidence in Yourself”
How Much Math is Needed in Data Analytics?
“Get Comfortable With the Tools”
“Take Advantage of Available Free Tools”
“Study Other People’s Work”
“Network”
BONUS: Useful Resources to Learn Data Analytics
Resource #1
Resource #2
Resource #3
Outro