Learn from Curated Curriculums developed by Industry Experts
It expands your mind, sharpens your thinking, and empowers you to create better.
1. What is an Application?
2. Types of Applications
3. Web Application Fundamentals
4. Web Technologies: (List key technologies and their roles)
Frontend: HTML, CSS, JavaScript, React
Backend: Python, Java, Node.js
Databases: SQL (MySQL, PostgreSQL), NoSQL (MongoDB).
5. Software Development Life Cycle (SDLC)
Phases: Planning, Analysis, Design, Implementation (Coding), Testing, Deployment, Maintenance.
6. Application Development Methodologies
Agile: Core principles, Scrum, Kanban
Waterfall
1. What is Data
2. Types of Data
3. Data Storage
4. Data Analysis
5. Data Engineering
6. Data Science
1. The Importance of Computing Power
2. Key Computing Technologies:
CPU (Central Processing Unit)
GPU (Graphics Processing Unit)
3. Cloud Computing:
What is the Cloud?
Cloud Service Models:
IaaS (Infrastructure as a Service)
PaaS (Platform as a Service)
SaaS (Software as a Service)
1. What is Artificial Intelligence (AI)?
2. How AI Works?
3. Key Concepts:
Machine Learning (ML)
Deep Learning (DL)
4. Generative AI:
What is Generative AI?
Examples: Large Language Models (LLMs), image generation models.
5. AI in Everyday Learning
1. Customer Relationship Management (CRM)
2. Human Resource Management Systems (HRMS)
3. Retail & E-Commerce
4. Healthcare
Overview of Analytics and Data Analysis Tools Suite
Career Opportunities and Job Roles in Data Analysis
Data Analysis Data Analyst (PL 300) Certification Overview
Introduction to AI Visuals and Features in Data Analysis
Understanding the Data Analysis Ecosystem and Architecture
Data Sources and Types for Data Analysis Reporting
Data Analysis Design Tools and Desktop Tool Installation
Exploring Data Analysis Desktop Interface: Data View, Report View, and Canvas
Visual Interaction Techniques in Reports
Using Slicers for Dynamic Report Filtering
Managing Report Pages and Visual Sync Limitations
Implementing Grouping and Binning in Reports
Creating and Utilizing Hierarchies for Drill-Down Reports
1. Customer Relationship Management (CRM)
2. Human Resource Management Systems (HRMS)
3. Retail & E-Commerce
4. Healthcare
Overview of Data Analysis Cloud Components and App Workspaces
Creating and Managing Reports and Dashboards in Data Analysis Cloud
Sharing, Subscribing, and Exporting Reports in Data Analysis Cloud
Understanding the Importance of DAX in Data Analysis
Learning Basic DAX Syntax, Data Types, and Contexts
Simple Measures and Calculations with DAX
Accessing Big Data Sources and Azure Databases
Advanced Filtering Techniques and Utilizing Bookmarks
Implementing Various Chart Types and Map Visuals
Deep Dive into Advanced Data Cleaning and Preparation Techniques
Implementing Parameter Queries for Dynamic Data Loads
Creating and Managing Parameters in Power Query
Configuring and Managing Gateways for Data Refresh
Utilizing Workbooks and Excel Online with Data Analysis Cloud
Creating and Managing Data Analysis Apps
Implementing Quick Measures and Advanced Calculations
Data Modeling and Relationship Management in DAX
Mastering Variables and Dynamic Expressions in DAX
Advanced DAX Functions for Time Intelligence
Implementing Row Level Security (RLS) with DAX
Utilizing DAX for Custom Analytics and Reporting
Configuring Data Analysis Report Server
Understanding Data Analysis Administration and AI Features
Managing Security and Administration in Data Analysis
Understanding the Importance of DAX in Data Analysis
Learning Basic DAX Syntax, Data Types, and Contexts
Simple Measures and Calculations with DAX
An LMS project develops a digital platform for online learning, featuring course creation, content management, user tracking, assessments, and reporting, aimed at enhancing educational interaction.
The HRMS project develops a digital system for managing HR functions like employee data, payroll, recruitment, and performance, aiming to streamline processes and enhance organizational efficiency.
Internships and Course certifications for Enhanced Skill Validation.
Our focus on job-readiness Github Profile, Linkedin Profile, Resume Prep and Help Apply
Guidance on creating and maintaining a professional GitHub profile to showcase technical projects and coding prowess.
Assistance in crafting a compelling LinkedIn profile for networking and visibility among recruiters.
Expert advice on resume writing to effectively highlight skills, experience, and achievements.
Support in identifying suitable job opportunities and navigating the application process.
AI + Data Science
Data Analytics
Data Analytics
Data Analytics
1000+ uplifted through our hybrid classroom & online training,
enriched by real-time projects and job support.
