Data Analytics
Meta’s Introduction to Data Analytics is a beginner-friendly course that teaches the basics of working with data, exploring tools like Excel, SQL, and Tableau. ...
Meta’s Introduction to Data Analytics is a beginner-friendly course that teaches the basics of working with data, exploring tools like Excel, SQL, and Tableau. ...
The Meta Introduction to Data Analytics course is designed to equip beginners with a strong foundation in the world of data. It introduces learners to the basic concepts, tools, and roles within the field of data analytics and shows how data is used to inform decisions in real-world business contexts.
Learners explore key analytical concepts such as types of data, data lifecycle, and data-driven decision-making. The course covers core skills like data collection, cleaning, analysis, and interpretation. It also provides insights into tools widely used by data professionals, including spreadsheets (Excel/Google Sheets), SQL, and data visualisation platforms like Tableau.
A major highlight of the course is the breakdown of data roles and career paths, such as:
Learners are also introduced to data ethics, understanding privacy, bias, and transparency in data use.
Throughout the course, learners complete hands-on exercises and case studies that help them practise real-world analysis. It sets the stage for further learning in more advanced areas of data analytics and prepares students to confidently explore careers in the growing field.
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Introduction to Obtaining and Scrubbing Data
Data World
Where to Look for Data
Common Data Formats
Sampled Data
First-Party and Third-Party Data
Evaluating the Validity of Data Sources
Scrubbing Your Data Clean
Remove Duplicate Records
Format your records
Handle Missing Values
Check for wrong values
Real World Example
Case Study: Obtaining Data
Case Study: Scrubbing Data
Review
Understanding Generative AI
Exploring Different Generative AI Technologies
Applications of GenAI in Business
Navigating the Challenging Concerns with AI
Integrating Generative AI with Data Analytics
Improving Data Quality and Generation with Generative AI
Generative AI in Predictive Analysis
Case Study: GenAI in Data Analytics