Data Engineering, Business Intelligence and Predictive Analytics
A complete analytics pathway covering data modelling, SQL, pipelines, quality, dashboards, statistical analysis, forecasting, machine learning, governance and production decision support.
Course Overview
A complete analytics pathway covering data modelling, SQL, pipelines, quality, dashboards, statistical analysis, forecasting, machine learning, governance and production decision support.
Practical Experience & Capstone: Create an end-to-end analytics solution from source ingestion and quality controls to executive dashboard, predictive model, governance documentation and deployment plan.
Target Audience: Data analysts, BI developers, data engineers, business analysts, finance analysts and analytics managers. Prerequisites: Comfort with spreadsheets and basic statistics; programming experience is helpful for the advanced track
Core Highlights
What You'll Learn.
Master the core concepts and advanced techniques needed to excel in your career, using industry-standard tools and workflows.
Core Concepts
Master core concepts and advanced techniques built for modern industry demands.
Industry Tools
Get hands-on experience with industry-standard software and modern development environments.
Problem Solving
Develop analytical skills to tackle complex real-world challenges efficiently.
Best Practices
Understand industry best practices, clean architecture, and modern workflows.
Scalable Solutions
Learn to build scalable, efficient, and robust solutions for enterprise environments.
Team Collaboration
Collaborate effectively using agile methodologies and professional version control.
Hands-on Experience.
Build a strong portfolio with real-world applications. Our curriculum is highly practical and project-driven.
Real-World Assignments
Engage with industry-relevant case studies and assignments that simulate actual workplace challenges to sharpen your day-to-day problem-solving skills.
Capstone Projects
Develop end-to-end solutions from scratch. Take a project from ideation to deployment, demonstrating your comprehensive understanding of the entire curriculum.
Portfolio Building
Compile your best work into a professional, interview-ready portfolio that stands out to recruiters and hiring managers in top tech companies.
Are You Ready?
Ideal Candidate Profile
Students & Freshers looking for a strong career start
Working professionals seeking rapid upskilling
Anyone passionate about modern technology and innovation
Prerequisites
- Basic understanding of computers and the internet
- No prior coding experience mandatory for beginner modules
- Dedication, consistency, and willingness to learn
Course Difficulty Level
Your Mentors.
Industry Expert Mentors
Senior Consultants at Vraj Infotech
Our training programs are led by seasoned professionals with extensive hands-on experience. They bring real-world insights, proven agile methodologies, and deep technical expertise directly into the classroom.
Official Certification.
Official Certificate of Completion
Vraj Infotech
Certified
Industry-Recognized Credential
Upon successful completion, receive a verifiable credential that officially validates your expertise and practical hands-on experience to top employers.
80% attendance, consistent project completion, and a final assessment.
Highly regarded by our 40+ corporate hiring partners and tech network.
Digital verifiable credential link for LinkedIn & high-quality physical copy.
Career Outcomes.
Transform your professional trajectory. Discover where this program can take you.
Target Job Roles
Top Hiring Industries
Accelerated Growth
High demand across global industries with highly competitive salary packages. Fast-tracked progression from entry-level to senior management positions.
Placement Support
Dedicated placement assistance, interview preparation, and direct referrals to our network of 40+ hiring partners.
Next Batch
Starting Soon
Reserve your seat before the deadline.
Need Assistance?
+91 94283 38400
Mon - Sat, 10am - 7pm
Other Elite Programs
Why
Choose Us
Key Learning Outcomes: Build trustworthy data pipelines, model business data, create decision-ready dashboards, develop evaluated predictive models and govern analytics assets.
Curriculum Edge: Adds foundational data engineering, SQL, warehousing, BI, quality, storytelling, model operations and governance around machine learning.
Module 1 : Analytics strategy and decision questions
Business objectives, metrics, stakeholders, hypotheses, prioritisation and value measurement.
Module 2 : SQL, relational modelling and dimensional design
Joins, aggregations, windows, normalisation, facts, dimensions and slowly changing data.
Module 3 : Data ingestion, APIs and pipeline foundations
Batch and streaming concepts, files, APIs, extraction, loading, orchestration and idempotency.
Module 4 : Data cleaning, quality and observability
Profiling, validation, missing data, deduplication, tests, freshness, lineage and alerts.
Frequently asked
questions.
Clear answers to the questions learners ask the most.
