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-18%

SupaBase

8 Lessons
48 hours
All Levels

Supabase is an open-source backend-as-a-service (BaaS) that provides a PostgreSQL …

What you'll learn
Understand the fundamentals of Supabase and how it compares to Firebase.
Set up a Supabase project and connect it to web and mobile applications.
Work with PostgreSQL as the database for storing structured data.
Perform CRUD (Create, Read, Update, Delete) operations with Supabase.
-9%

Data Analytics

8 Lessons
48 hours
All Levels

Data Analytics is the process of examining, cleaning, transforming, and …

What you'll learn
Understand the fundamentals of data analytics and the different types (Descriptive, Diagnostic, Predictive, Prescriptive).
Learn the complete data analytics process, including data collection, cleaning, analysis, and visualization.
Master data visualization tools like Tableau, Power BI, and Python libraries (Matplotlib, Seaborn).
Understand advanced analytics techniques such as time series analysis, cluster analysis, and natural language processing (NLP).
Apply data analytics skills to real-world business problems and case studies.
-9%

Web Technology

8 Lessons
48 hours
All Levels

Web technologies encompass the fundamental tools and protocols used to …

What you'll learn
Understand HTML, CSS, and JavaScript, the core technologies of web development.
Build responsive and interactive web pages.
Work with modern CSS frameworks like Bootstrap and Tailwind CSS.
Use JavaScript to add dynamic functionality to websites.
Learn Version Control (Git & GitHub) for managing projects.
-9%

PowerBI

15 Lessons
48 hours
All Levels
What you'll learn
You will learn how to design, develop, and manage SSAS (SQL Server Analysis Services) Cubes for efficient data modeling and analytics. You will understand how to create OLAP cubes, define measures, dimensions, and hierarchies, and optimize performance for large datasets.
In Power BI, you will learn how to connect to SSAS cubes, build interactive dashboards, and create data visualizations for business intelligence. The course will also cover DAX (Data Analysis Expressions), report automation, and best practices for data analysis and reporting.
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