1. Is the curriculum aligned with analytics job expectations?

Yes. Every module is designed based on real industry roles, required technical tools, KPI frameworks, and current hiring standards.

2. Will I need coding experience before starting?

No. The program begins from fundamentals and gradually progresses to intermediate-level skills in SQL and Python.

3. Do I get monthly projects and a capstone?

Yes. Each month includes a hands-on project, and the program concludes with a full, portfolio-ready capstone.

4. Are the dashboards built to industry standards?

Yes. All dashboards follow best practices used by BI teams, focusing on clarity, storytelling, KPIs, and executive reporting.

5. Will this help me secure an analytics job?

Yes. Resume optimization, interview preparation, portfolio development, and career guidance are included to support job readiness.

6. Do I receive a certificate?

Yes. You will receive a program completion certificate.

7. Are the classes live?

Yes. All sessions are delivered live by experienced instructors with real industry expertise.

8. Is placement assistance included?

Yes. Career support includes mock interviews, job referral guidance, portfolio reviews, and interview coaching.

9. Can freshers join?

Yes. The program is designed for both beginners and those transitioning into analytics.

10. Do I get lifetime access?

Yes. You get lifetime access to the LMS, datasets, practice materials, and recorded sessions.

11. Is this program suitable for working professionals?

Yes. Flexible batch timings and structured learning make it ideal for full-time professionals upskilling for career growth.

Data & Business Analytics Career Track: 6-Month Virtual Program

By MG Aussie

Online event

Multiple dates

Overview

Gain job-ready analytics, BI, SQL, Python, dashboards, forecasting, and job prep skills with real case studies in a 6 Month program.

About This Course

Total Duration: 6 Months (24 Weeks)
Total Training Hours: 180+ Live Learning Hours
Mode: Live Instructor-Led Online Training
Delivery: 60% Practical + 40% Theory + Projects
Access: Lifetime LMS + Practice Datasets
Certification: MGAussie Data Analytics Certification (Career Track Edition)

Your Learning Schedule

The weekend batch is scheduled on Saturdays from 12 PM to 3 PM EST, beginning with the upcoming weekend cycle. This format is designed for learners who require a more flexible option, offering focused weekend learning without affecting weekday responsibilities.

Course Overview

This comprehensive 6-month program prepares learners for high-growth careers in Data Analytics and Business Analytics. The curriculum covers industry-standard tools such as Excel, SQL, Python, Power BI, and Tableau, supported by real-world case studies, KPI frameworks, monthly projects, and a full capstone. Learners also receive resume-building support, LinkedIn optimization, portfolio development, and mock interview training—ensuring they graduate fully job-ready and aligned with modern employer expectations.

Key Highlights

Master essential analytics tools: Excel, SQL, Python, Power BI, Tableau
Curriculum aligned with real industry roles, KPIs, and hiring standards
Monthly hands-on projects plus a capstone portfolio project
Includes resume, LinkedIn, and interview preparation
Domain case studies across retail, finance, SaaS, healthcare & e-commerce

Before exploring the tools and projects, it’s important to understand the career paths this program prepares you for.

Data Analyst: $65,000 – $110,000
Business Analyst: $60,000 – $105,000
BI Analyst: $70,000 – $120,000
Reporting Analyst: $58,000 – $95,000
Marketing Analyst: $55,000 – $90,000
Operations Analyst: $60,000 – $100,000

Learning Objectives

You will be able to:

Analyze and interpret business datasets
Build dashboards used by executives and BI teams
Apply SQL, Python, Excel, and BI tools professionally
Use forecasting, A/B testing, and statistical analysis
Understand KPIs for retail, finance, SaaS & healthcare
Prepare ATS-friendly resumes and perform well in interviews
Deliver complete portfolio and capstone projects

Target Audience

Career changers (Non-IT to IT)
Fresh graduates
Students on academic or training pathways
Working professionals seeking promotion
Homemakers returning to workforce
Anyone seeking a flexible analytics career

Why Choose This Course?

This course is perfectly aligned with modern analytics job requirements because it covers the exact tools and analytical skills employers look for across industries. The program emphasizes portfolio-based learning, now a key requirement in most analytics hiring processes, and includes business communication training tailored for real workplace expectations. All modules follow standard KPI frameworks, industry practices, and dashboard methodologies, ensuring your skills are directly applicable to real roles. The course is suitable for both beginners and experienced professionals, offering a clear pathway into data and business analytics careers. It is also highly cost-effective compared to traditional boot camps, which often charge between $5,000 and $14,000, giving you strong value and return on investment.

Optional Add-ons

One-on-one mentoring
Extended job support
Dedicated resume writing

BONUS INCLUDED

Free Resume Template
Free LinkedIn Masterclass
Free Interview Q&A Bank
Free Access to 50+ business datasets
Free GitHub portfolio support

CERTIFICATIONS AWARDED

Mangates Data Analytics Certification (Career Track Edition)
Project Certificates (each mini + capstone)
LinkedIn Skill Badges (Power BI, SQL, Python)

TOOLS COVERED

Microsoft Excel
SQL (MySQL / SQL Server)
Python
Tableau
Power BI
GitHub
Jupyter Notebook
ChatGPT for Data Automation
Google Sheets
Business Intelligence Dashboards

Category: Science & Tech, Other

Good to know

Highlights

Online

Refund Policy

Refunds up to 7 days before event

Location

Online event

Agenda

MONTH 1: Foundations & Excel for Analytics

• Introduction to Data Analytics roles • Excel Advanced: o VLOOKUP, XLOOKUP o PivotTables, Power Query o Data Cleaning & Formatting • Key KPIs (Revenue, CAC, NPS, MRR, Churn, ARPU) • Project: Retail Sales Performance • Activity: Icebreaker

MONTH 2: SQL (Industry Standard)

• SQL for Data Analysts • Joins, CTEs, Window Functions • Query Optimization • Building Analytical SQL Reports • Business datasets (Finance, HR, Retail) • Project: Customer Segmentation Using SQL • Activity: Case Study

MONTH 3: Python for Data Analysis

• Python Basics • Pandas, NumPy • Exploratory Data Analysis (EDA) • Data Cleaning Automation • Charts & Plots (Matplotlib, Seaborn) • Project: Telecom Customer Churn Prediction • Activity: Simulation

Frequently asked questions

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MG Aussie

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