Data & Business Analytics Career Track: 6 Month Virtual Traing

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: Mangates Data Analytics Certification (U.S. Edition)

Your Learning Pace

The weekday batch follows a structured Monday–Friday format, conducted from 8:30 AM to 10:30 AM EST (equivalent to 5:30 AM to 7:30 AM PST). Sessions commence with the next available weekday cycle and are ideal for learners who prefer steady progress, regular interaction, and a consistent learning rhythm throughout the week.

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

By the end of this 6-month program, you will be able to:

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

Target Audience

• Career changers (Non-IT to IT)
• Fresh graduates
• International students on OPT/CPT
• Working professionals seeking promotion
• Homemakers returning to workforce
• Anyone seeking a flexible U.S. tech career

Why Choose This Course?

This course is perfectly aligned with the U.S. job market because it covers the exact tools and analytical skills required by U.S. companies, ensuring you learn what employers actually look for. The program emphasizes portfolio-based learning, which is now mandatory in most U.S. hiring processes, and also includes business communication training tailored for American workplace expectations. All modules align with U.S. KPIs, industries, and dashboard standards, making your skills directly applicable to real roles. The course is suitable for both beginners and experienced professionals, offering a clear pathway into data and business analytics roles. It is also highly cost-effective compared to U.S. boot camps, which typically charge between $5,000 and $14,000, giving you a strong return on investment.

Optional Add-ons

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

BONUS INCLUDED

• Free US Resume Template
• Free LinkedIn Masterclass
• Free Interview Q&A Bank (US Analysts)
• Free Access to 50+ US business datasets
• Free GitHub portfolio support

CERTIFICATIONS AWARDED

• Mangates Data Analytics Certification (US 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
• U.S. Business Intelligence Dashboards

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