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Master the complete data lifecycle from enterprise BI reporting and dashboards to designing robust Big Data pipelines, ETL workflows, and cloud-based data platforms. Build dual expertise in analytics and engineering to future-proof your career.
Topics: Power BI, Tableau, SQL, Python, data warehousing, ETL, Hadoop, Spark, data lakes, cloud data engineering, data modeling, reporting automation, and real-world BI & Big Data projects.
Invest in a Data Analytics with Business Intelligence and Big Data Engineering Master Program built for maximum career impact and return on investment. Gain in-demand skills across BI tools, data warehousing, ETL pipelines, cloud platforms, and Big Data technologies that hiring managers actively look for in Data Engineer, BI Developer, and Analytics Engineer roles.
5.5
5.5-month structured Data Analytics with BI and Big Data Engineering master program designed for working professionals and graduates.
155
155 hours of intensive, mentor-led training covering Business Intelligence, data warehousing, ETL, Big Data tools, and cloud data engineering.
40%+
40%+ projected job growth in Data Engineering and BI roles across India and global analytics hubs.
₹ 12 LPA
Average salary hike of up to ₹12 LPA for certified Data Engineers, BI Developers, and Analytics professionals.
Business Intelligence course in India, Big Data Engineering training, Data Analytics with BI master program, Data Engineer and BI Developer jobs, high-paying analytics careers, job-oriented data engineering certification with placement assistance.
Modern enterprises in banking and finance, healthcare, e-commerce, FMCG, telecom, IT services, and consulting rely on Data Engineers and BI professionals to design scalable data pipelines, ETL workflows, and analytical dashboards. This Data Analytics with BI and Big Data Engineering master program helps you bridge the skills gap with real-world projects, interview preparation, and portfolio guidance-so you can confidently target Data Engineer, BI Developer, Analytics Engineer, and Reporting Analyst roles.
Keywords: Data Analytics with BI and Big Data Engineering Course • Business Intelligence Training • Data Engineer Certification • BI Developer Jobs • Big Data Engineering Program • ETL and Data Warehouse Course • Cloud Data Engineering • High-Paying Analytics Career • Job-Oriented BI and Data Engineering Master Program.
We bridge the gap between data analysis and data engineering, creating a full-stack data professional.
This Data Analytics with BI and Big Data Engineering Master Program is ideal for graduates, working professionals, and career switchers who want to become job-ready BI Analysts, Data Analysts, and Data Engineers with expertise in Business Intelligence tools, data pipelines, and scalable Big Data platforms.
Gain a rare and highly sought-after skill set, mastering both front-end data visualization (BI) and back-end data infrastructure (Big Data Engineering).
Designed by industry veterans, our curriculum focuses on the tools and techniques actively used by top tech companies today, ensuring job readiness.
Build a robust portfolio of 10+ projects, including an end-to-end data pipeline, to showcase your capabilities to potential employers.
Position yourself for high-paying roles like BI Analyst, Data Analyst, and Data Engineer, accelerating your career trajectory significantly.
Most courses focus only on data analytics or only on data engineering. This Data Analytics with BI and Big Data Engineering Master Program uniquely combines Business Intelligence dashboards, reporting, and data visualization with Big Data infrastructure, ETL workflows, and scalable data pipelines. You don't just learn tools—you learn how to design complete, end-to-end analytics solutions that employers need today.
Full Career Stack: Analyst to Engineer
Build capabilities for BI Analyst, Data Analyst, and Data Engineer roles with one integrated master program.
Real Projects & Hiring-Focused Training
Work on 10+ hands-on projects, including end-to-end data pipelines, BI dashboards, and Big Data use cases, and showcase them in your portfolio for interviews.
Keywords: Data Analytics with BI and Big Data Engineering • Business Intelligence and Data Engineering Master Program • BI Analyst and Data Engineer Course • End-to-End Data Pipeline Training • Job-Oriented BI and Big Data Course • High-Paying Analytics and Data Engineering Careers • Placement Support for BI & Big Data Roles.
Our 6-module structure ensures a progressive learning path, covering every aspect of the modern data landscape.
Master the leading Business Intelligence tools to create compelling reports and dashboards.
Build a strong foundation in relational databases, the backbone of all data systems.
Leverage Python for data manipulation, statistical analysis, and advanced visualization.
Dive into the world of distributed systems and learn the fundamentals of Big Data processing.
Master Apache Spark and Databricks for high-speed, large-scale data processing and ETL pipelines.
Apply all learned skills to an end-to-end industry-grade project and prepare for certification exams.
Our program covers the essential tools required for both Business Intelligence and Big Data Engineering roles.
Learn how to combine Tableau, Power BI, Excel, MySQL, Python, Apache Spark, Databricks, and Hadoop to build end-to-end data pipelines, BI dashboards, and scalable Big Data solutions-skills that are highly demanded for BI Analyst, Data Engineer, and Analytics Engineer roles.
BI & Visualization
Enterprise-grade BI platform for interactive dashboards, visual analytics, and business storytelling.
BI & Visualization
Microsoft’s flagship Business Intelligence tool for self-service analytics, KPI dashboards, and reporting.
BI & Visualization
The most widely used spreadsheet tool for data analysis, reporting, and quick visualization.
Databases
Relational database engine used to store, manage, and query structured data for analytics workloads.
Programming
Versatile programming language for data engineering, automation, analytics, and scripting.
Big Data
Distributed Big Data processing engine optimized for large-scale data pipelines and real-time analytics.
Big Data
Unified analytics and lakehouse platform for collaborative data engineering and machine learning.
Big Data
Big Data framework for distributed storage and batch processing across large clusters.
Keywords: Data Analytics with BI and Big Data Engineering • Tableau and Power BI Training • MySQL and Python for Data Engineering • Apache Spark Databricks and Hadoop Course • Business Intelligence and Big Data Technology Stack • Job-Oriented BI and Data Engineering Program.
Start with Excel, Tableau, and Power BI to build dashboards and business reports.
Use MySQL to design schemas, write queries, and prepare data for analytics.
Leverage Python for automation, ETL scripts, data transformation, and integration.
Work with Apache Spark, Hadoop, and Databricks to handle large-scale Big Data pipelines.
This structured learning roadmap ensures you grow from BI fundamentals to full-fledged Big Data Engineering, making you highly competitive for data analytics, BI developer, and data engineer job roles.
This master program is the launchpad for a decade-long career progression in the high-growth data domain.
Follow a proven path from Data Analyst and Junior BI Analyst roles into Business Intelligence Specialist, Junior Data Engineer, Big Data Engineer, and finally Data Architect / Data Lead. This roadmap is tailored for a high-demand Data Analytics with BI and Big Data Engineering master program targeting global data engineer jobs, BI careers, and cloud-driven big data roles.
Data Analyst / Junior BI Analyst
Master SQL, Excel, and basic Python. This program provides the core skills to start as a Data Analyst or Junior BI Analyst.
Business Intelligence Specialist
Deep dive into Tableau and Power BI for advanced reporting, dashboard creation, and strategic data storytelling.
Junior Data Engineer
Learn Hadoop and the fundamentals of distributed systems, focusing on data warehousing and data lake concepts.
Big Data Engineer
Master Apache Spark, Databricks, and build complex, scalable ETL/ELT pipelines for massive datasets.
Data Architect / Data Lead
Focus on system design, cloud integration (AWS/Azure/GCP), data governance, and leading data teams.
Your portfolio is your resume. Complete industry-grade projects that demonstrate your mastery of the entire data stack.
Each capstone in this Data Analytics with BI and Big Data Engineering Master Program is designed to simulate real Business Intelligence, Data Engineering, and Analytics scenarios so you can confidently showcase your skills to hiring managers for BI Analyst, Data Analyst, and Data Engineer roles.
Design and implement a dynamic Business Intelligence dashboard using Power BI and Tableau to track key performance indicators (KPIs) like sales, inventory levels, and customer lifetime value, sourced from a MySQL database.
Tools & Technologies:
Build a Big Data pipeline using Apache Spark (PySpark) to ingest real-time social media data, perform natural language processing (NLP) for sentiment analysis, and store the results in a data lake (HDFS).
Tools & Technologies:
Develop a robust Extract, Transform, Load (ETL) process using Databricks to clean, transform, and load large volumes of financial transaction data into a structured data warehouse for regulatory reporting and advanced analytics.
Tools & Technologies:
Utilize Python libraries (Pandas, Scikit-learn) to build a predictive model (e.g., customer churn prediction) and visualize the results using Matplotlib and Seaborn, demonstrating end-to-end analytical capability.
Tools & Technologies:
Our projects span multiple business domains so you gain exposure to real-world data challenges, not just textbook examples. From e-commerce dashboards and social media analytics to financial data warehouses and cloud-based Big Data pipelines, you build the domain understanding recruiters look for in BI & Big Data Engineering roles.
E-commerce & Retail
Banking & Finance (BFSI)
Social Media & Marketing
Cloud & SaaS Products
Telecom & Customer Analytics
Healthcare & Insurance
Regulatory & Compliance
Supply Chain & Operations
Executive BI Reporting
Keywords: Real-world BI projects • Big Data pipeline projects • E-commerce analytics • Financial data warehousing • Social media sentiment analysis • Cloud data engineering projects • Portfolio projects for BI Analyst and Data Engineer roles.
Create impressive, domain-specific projects that you can showcase in your resume, LinkedIn profile, and job interviews.
Work with realistic datasets, cloud tools, and analytics workflows used by BI teams and data engineering squads.
Apply Business Intelligence, Big Data, and Python analytics concepts end-to-end and build confidence for production use cases.
This project-driven master program helps you build a strong, proof-based portfolio for Data Analytics, Business Intelligence, and Big Data Engineering careers with job-oriented, real-time projects.
Our graduates are prepared for the most in-demand roles in the data industry, commanding competitive salaries.
This Data Analytics with BI and Big Data Engineering Master Program opens doors to high-growth roles like Business Intelligence Analyst, Data Analyst, and Big Data Engineer across top IT, consulting, product, and cloud companies in India and global markets.
Focus on reporting, dashboards, and data-driven strategy.
Expected Salary Range (India)
₹6 L - ₹15 L
Focus on statistical analysis, insight generation, and data storytelling.
Expected Salary Range (India)
₹5 L - ₹12 L
Focus on building and maintaining scalable data pipelines and infrastructure.
Expected Salary Range (India)
₹8 L - ₹25 L+
Data professionals see 40–50% salary growth within 2–3 years of experience in analytics, BI, and Big Data roles.
Start as a Data Analyst or BI Analyst and move into specialized roles such as Big Data Engineer, Analytics Engineer, or Data Architect.
Work with top MNCs and tech giants worldwide, with options for remote and on-site positions in data-driven teams.
Keywords: Data Analytics Career Path • Business Intelligence Analyst Salary • Big Data Engineer Jobs in India • Analytics Career Growth • Job-Oriented BI and Big Data Course • High-Paying Data Roles.
Alumni from this Data Analytics with BI and Big Data Engineering program have the skills to apply for roles at leading product companies, IT service firms, consulting giants, and cloud providers.
Amazon
Accenture
TCS
Wipro
Microsoft
Top recruiters include Amazon, Accenture, TCS, Wipro, Google, Microsoft and many more organizations building data platforms, BI dashboards, and Big Data solutions.
This program is designed for ambitious individuals ready to take on the most challenging and rewarding roles in the data industry.
Whether you're an IT professional, recent graduate, BI / Data Analyst, or career changer, this Data Analytics with BI and Big Data Engineering Master Program gives you a structured path toward high-paying data analytics, BI, and data engineering jobs.
Looking to transition from traditional IT roles (e.g., QA, Support) into high-demand, future-proof data engineering and analytics positions.
What You Need:
Seeking a comprehensive, job-ready skill set right out of college to secure a high-paying entry-level role in the data domain.
What You Need:
Wanting to upgrade their skills to include Big Data Engineering tools (Spark, Hadoop) to handle massive datasets and advance their careers.
What You Need:
Anyone with a basic understanding of programming or databases who is eager to enter the lucrative and rapidly growing field of data.
What You Need:
Ideal for learners aiming for Business Intelligence, Data Analytics, and Big Data Engineering careers with technologies like SQL, Python, Power BI, Tableau, Hadoop, Spark, Databricks, and cloud platforms.
Allocate consistent weekly time for coding exercises, SQL queries, BI dashboards, and Big Data labs.
Engage in doubt-solving, peer discussions, and mentor sessions to accelerate your learning.
Complete all real-world projects to build a strong portfolio in BI, Data Analytics, and Big Data Engineering.
Stay updated with new tools, cloud services, and industry use cases in the data ecosystem.
Keywords: Who should enroll in Data Analytics with BI and Big Data Engineering • IT professionals transitioning to data engineering • recent graduates looking for data analytics jobs • BI analysts upskilling to Big Data roles • career changers entering the data field.
Everything you need to know about the program, eligibility, and career outcomes.
Get clarity on how this Data Analytics with BI and Big Data Engineering Master Program helps you transition into Business Intelligence, Data Analyst, and Big Data Engineer roles using tools like SQL, Python, Tableau, Power BI, Hadoop, and Spark.
Our counseling team can guide you on whether this BI & Big Data Engineering master program is the right fit for your goals—whether you're an IT professional, fresher, BI analyst, or career changer. Reach out for personalized guidance on career paths, placements, and curriculum details.
Keywords: Data Analytics with BI and Big Data Engineering FAQ • eligibility for data engineering course • job assistance and placement support • globally recognized Tableau and Power BI certifications • difference between Data Analyst and Data Engineer.
