Data Analyst Career Accelerator Program – Ruby Cohort

Unlock Your Potential: Become a Highly Sought-After Data Analyst

  • 12 Weeks, Instructor-led online classes (4 hours per week)
  • Classes start: 12th July, 2025

Accelerate your path to a successful career in data analytics with our 12-week instructor-led program. This structured training provides a comprehensive approach to mastering essential tools and techniques, fast-tracking your journey to a high-growth career in data analytics.

Why Choose Our Training Program?

  • Internship Opportunity: Top participants get an exclusive internship for hands-on experience, mentorship, and real-world projects to boost their portfolio.
  • Expert Instructors: Learn from industry experts with years of experience in data and analytics.
  • Comprehensive Curriculum: Our program covers everything you need to succeed, from basics to advanced techniques.
  • Capstone Project: Showcase your new skills by completing real-world data analysis projects and receive personalized feedback from industry partners.
  • Convenient Timing: Training hours will not interfere with your work schedule.
  • After Training Support: Get support from industry experts and career coaches.

Testimonies

Bonus Benefits

  • Become a highly skilled Data Analyst in MS Excel, SQL, Python, Power BI, Data Storytelling
  • Microsoft Power BI Certification Prep
  • Resources for Continuous Learning
  • Career Support – Post Training Support and Hand-holding (3 months)
  • Free Membership to Join a Vibrant Data Community
  • Internship Opportunity
  • Create an Impressive and Eye-Catching Portfolio on GitHub
  • ATS-Optimized Resume
  • Free Interview Prep   

Who Should Attend?

This program is for anyone who wants to:

  • Accelerate their career as a data analyst.
  • Professionals seeking to advance their careers.
  • Switch to a data analyst role, from a related or unrelated field.
  • Business Leaders aiming to make data-driven decisions.

Increase your employability: Acquire the skills employers are asking for

Experience a structured and supportive approach to learning data analytics, beginning with the basics and progressing to advanced topics.

Course Curriculum

Discover Data Analytics for Business

  • Overview of data analysis
  • Roles in data
  • Responsibilities of a data analyst
  • Relevant skills, tools, and techniques for data analysis
  • Becoming a high performing Data Analyst

Data Analysis using Microsoft Excel

SQL for Data Analysis

Mastering Data Storytelling

Data Visualization with Power BI

Resume and LinkedIn Review

Capstone Project: Solve Data Problems with Real-world Business Projects

Building a Project Portfolio

Graduation and Awards

Microsoft Certification Prep

Program Overview

Course 1–Discover Data Analytics for Business

  • Overview of data analysis
  • Roles in data
  • Responsibilities of a data analyst
  • Relevant skills, tools, and techniques for data analysis
  • Becoming a high-performing Data Analyst

Course 2–Master Excel for Data & Analytics Success!

  • Excel Fundamentals – Essential shortcuts, navigation & best practices
  • Data Cleaning & Preparation – Power Query, text functions & automation
  • Advanced Formulas & Functions – VLOOKUP, XLOOKUP, IF, INDEX/MATCH, SUMIFS
  • Pivot Tables & Charts – Dynamic summaries & data visualization
  • Data Analysis & Insights – Sorting, filtering, conditional formatting
  • Power BI Integration – Connect Excel to Power BI for advanced reporting
  • Dashboard Creation – Build interactive reports in Excel for data-driven decisions

Hands-on Lab Exercise | Expert Instructors | Excel Project

Course 3–Unlock the Power of Data with Power BI!

  • Power BI Fundamentals – Interface navigation, workspace setup, data connections
  • Data Transformation with Power Query – Cleaning, merging, and shaping data
  • DAX for Data Modeling – Master key functions like CALCULATE, SUMX, and FILTER
  • Measures & Calculated Columns – Create dynamic calculations for deeper insights
  • Building Interactive Dashboards – Design visually compelling, dynamic reports
  • Advance Data Visualization – Custom visuals, slicers, and drill-throughs
  • Data Modeling & Relationships – Star schema, one-to-many & many-to-many
  • Performance Optimization – Improve report speed & efficiency
  • Connecting to Multiple Data Sources – SQL, Excel, and cloud databases
  • Power BI Service & Sharing – Publishing and collaboration
  • Real-time & Automated Reporting – Scheduled refresh & live dashboards

Hands-on Lab Exercise | Expert Instructors | Power BI Project

Course 4–Mastering SQL for Data Analytics

  • Introduction to Relational Databases: Understanding tables, rows, columns, and keys.
  • SQL Fundamentals (SELECT, WHERE, ORDER BY)
  • Data Types: Understanding INTEGER, VARCHAR, DATE, DATETIME, etc.
  • Data Aggregation (GROUP BY, Aggregate Functions)
  • Joining Tables (INNER, LEFT, RIGHT)
  • Data Modification (INSERT, UPDATE, DELETE)
  • Advanced Queries (Subqueries, CTEs, Window Functions)
  • Analytical SQL (CASE Statements)

Course 5–Python for Data Analysis

  • Python Essentials: Variables, data structures, and functions.
  • Pandas Power: Data manipulation and analysis made easy.
  • NumPy Mastery: Efficient numerical computing.
  • Data Visualization: Creating charts and graphs with Matplotlib and Seaborn.
  • Real-World Data Projects: Apply your skills to practical scenarios.

Hands-on Lab Exercise | Expert Instructors | Project

Course 6–Mastering Data Storytelling

  • Craft Compelling Data Narratives: Learn to tell stories that resonate.
  • Visualize Data for Impact: Choose the right charts and design for clarity.
  • Translate Data into Actionable Insights: Move beyond numbers to drive decisions.
  • Master Storytelling Techniques: Structure your data stories for maximum engagement.
  • Connect with Your Audience: Tailor your message for impact.
  • Learn to present data with confidence.

Hands-on Lab Exercise | Expert Instructors | Project

Course 7–Building a Strong Project Portfolio on GitHub

  • Craft a Professional GitHub Portfolio: Showcase your skills to potential employers.
  • Master Version Control: Effectively manage your projects.
  • Write Compelling READMEs: Clearly document your work.
  • Optimize Your GitHub Profile: Make a strong first impression.
  • Showcase Your Problem-Solving Abilities: Demonstrate your expertise.

Hands-on Lab Exercise | Expert Instructors | Project

Capstone Project

  • Solve Data Problems with Real-world Business Projects

Still not sure if this program is right for you? Speak with one of our Career Advisors for a quick and clear answer.

Enrol Now

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