From Beginner to Confident Data Analyst: 6-Month Data Analytics, Data Science & AI Mentorship

About Course

This 6-month Data Analytics, Data Science & AI Mentorship Program is a structured, practical training designed to help beginners and aspiring professionals build real-world data skills, gain confidence, and create a portfolio that proves competence.

The course combines hands-on learning, real projects, and expert mentorship so you don’t just learn tools — you learn how to think, analyze, and solve problems like a data professional.

Whether you’re starting from scratch or feeling stuck in your learning journey, this program provides clarity, structure, accountability, and career direction.

Understand data analytics, data science, and AI from a practical, beginner-friendly perspective
Analyze real-world datasets using Microsoft Excel
Clean, organize, and prepare data for analysis
Write and execute SQL queries to extract and analyze data
Build end-to-end data analysis projects
Interpret data insights and communicate results clearly
Understand core data science and AI concepts without overwhelm
Build a professional portfolio to showcase your skills
Gain clarity on data career paths and growth opportunities
Learn how to position yourself for entry-level and better roles

Course Content

DATA ANALYTICS (FOUNDATION → PRACTICAL SKILLS)
This module sets the foundation for your data journey. You’ll understand what data analytics really is, the tools you’ll use, and how to avoid common beginner mistakes that slow people down.

Welcome & Program Roadmap
What Data Analytics Is (And What It Is Not)
Data Career Paths Explained
Tools You’ll Use as a Data Analyst

Excel for Data Analysis (Beginner to Advanced)
Excel is one of the most powerful and in-demand tools for data analysis. This module takes you from basics to advanced analysis used in real workplaces.

SQL for Data Analysis
SQL is the backbone of data analysis in most companies. This module helps you confidently query databases and extract meaningful insights.

Data Analysis Projects & Portfolio Building
This module focuses on applying everything you’ve learned to real projects you can confidently showcase.

DATA SCIENCE (FOUNDATION & PRACTICAL UNDERSTANDING)
This module introduces you to Data Science in a beginner-friendly way, removing fear and confusion around the field.

Data Science Concepts & Practical Thinking
You’ll learn how data scientists think, analyze patterns, and draw predictions even if you’re new to the field.

Data Science Projects
This module helps you apply data science concepts through guided projects.

AI FOUNDATIONS FOR DATA PROFESSIONALS & CAREER MENTORSHIP
AI is shaping the future of data careers. This module introduces AI concepts without heavy technical complexity.

Career Mentorship & Professional Growth
This module focuses on helping you grow beyond skills into confidence, direction, and career readiness.

Final Review, Certification & Next Steps
This final module helps you consolidate everything you’ve learned and prepare for your next phase.

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About Course

What Will You Learn?

Course Content

DATA ANALYTICS (FOUNDATION → PRACTICAL SKILLS) This module sets the foundation for your data journey. You’ll understand what data analytics really is, the tools you’ll use, and how to avoid common beginner mistakes that slow people down.

Welcome & Program Roadmap

What Data Analytics Is (And What It Is Not)

Data Career Paths Explained

Tools You’ll Use as a Data Analyst

Excel for Data Analysis (Beginner to Advanced) Excel is one of the most powerful and in-demand tools for data analysis. This module takes you from basics to advanced analysis used in real workplaces.

Excel Interface & Data Basics

Data Cleaning & Formatting

Formulas & Functions for Analysis

Lookup Functions & Logical Analysis

Pivot Tables & Data Summarization

Excel Dashboards & Reporting

SQL for Data Analysis SQL is the backbone of data analysis in most companies. This module helps you confidently query databases and extract meaningful insights.

Introduction to Databases & SQL

Basic SQL Queries (SELECT, WHERE, ORDER BY, etc..)

Filtering, Sorting & Aggregations

Joins & Multi-Table Analysis

SQL for Business Insights

Data Analysis Projects & Portfolio Building This module focuses on applying everything you’ve learned to real projects you can confidently showcase.

Understanding Real-World Data Problems

End-to-End Data Analysis Project (Excel)

End-to-End Data Analysis Project (SQL)

Building a Professional Portfolio

DATA SCIENCE (FOUNDATION & PRACTICAL UNDERSTANDING) This module introduces you to Data Science in a beginner-friendly way, removing fear and confusion around the field.

What Data Science Really Is

Data Science Workflow Explained

Tools Used in Data Science

Data Science Concepts & Practical Thinking You’ll learn how data scientists think, analyze patterns, and draw predictions even if you’re new to the field.

Data Exploration & Understanding Patterns

Basic Statistical Concepts for Data Science

Introduction to Predictive Thinking

Data Science Projects This module helps you apply data science concepts through guided projects.

Data Science Project Walkthrough

Project Interpretation & Insights

AI FOUNDATIONS FOR DATA PROFESSIONALS & CAREER MENTORSHIP AI is shaping the future of data careers. This module introduces AI concepts without heavy technical complexity.

Introduction to Artificial Intelligence

AI vs Data Science vs Data Analytics

How AI Is Used in Business Today

Career Mentorship & Professional Growth This module focuses on helping you grow beyond skills into confidence, direction, and career readiness.

Building Confidence as a Data Professional

Career Roadmap & Role Selection

How to Position Yourself for Opportunities

Continuous Learning & Career Growth

Final Review, Certification & Next Steps This final module helps you consolidate everything you’ve learned and prepare for your next phase.

Program Recap & Skill Review

Portfolio Review & Improvement

Certification & Graduation

Your Next 6–12 Month Career Plan