Start Your Data Analyst Career in NIBM, Pune
Become
a Job-Ready
Data Analyst
in 6 Months
- Work On Live Projects
- Resume & Mock Interviews
- Placement Support
Become
a Job-Ready
Data Analyst
in 6 Months
- Work On Live Projects
- Resume & Mock Interviews
- Placement Support
Support
Curriculum
Preparation
Offline / Hybrid
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What You Will Learn in the Data Analytics Program
What is Data Analytics?
Understand data analytics fundamentals, data types, and how businesses use data for informed decision-making.
Cloud for Analytics
Introduction to cloud concepts, data storage, and how analytics workloads run on cloud platforms.
SQL & Database Fundamentals
Write SQL queries, work with databases, and extract data for analysis and reporting.
Python Programming for Analytics
Use Python for data cleaning, analysis, and exploration with Pandas and NumPy.
Power BI & Data Visualization
Create interactive dashboards and visual reports to communicate insights effectively.
OOPS Concepts for Analytics
Learn Object-Oriented Programming concepts like classes, objects, inheritance, and abstraction.
Machine Learning
Understand basic machine learning concepts and how ML supports analytics use cases.
Linux Fundamentals
Learn Linux commands, file systems, permissions, and environment setup.
Mini-Projects & Real-Time Assignments
Apply your learning through hands-on mini-projects and real-world analytics assignments.
What You Will Learn in the Data Analytics Program
What is Data Analytics?
Understand data analytics fundamentals, data types, and how businesses use data for informed decision-making.
Cloud for Analytics
Introduction to cloud concepts, data storage, and how analytics workloads run on cloud platforms.
SQL & Database Fundamentals
Write SQL queries, work with databases, and extract data for analysis and reporting.
Python Programming for Analytics
Use Python for data cleaning, analysis, and exploration with Pandas and NumPy.
Power BI & Data Visualization
Create interactive dashboards and visual reports to communicate insights effectively.
OOPS Concepts for Analytics
Learn Object-Oriented Programming concepts like classes, objects, inheritance, and abstraction to write structured, reusable code
Machine Learning
Understand basic machine learning concepts and how ML supports analytics use cases.
Linux Fundamentals
Learn Linux commands, file systems, permissions, and environment setup used by data and analytics teams.
Mini-Projects & Real-Time Assignments
Apply your learning through hands-on mini-projects and real-world analytics assignments.
Career Opportunities After a Data Analytics Course in NIBM, Pune
Data Analyst
Analyze business data using Excel, SQL, Power BI and Python to create dashboards, identify trends and support data-driven decision-making.
Business Analyst
Use data insights, reports and visualizations to improve business processes, performance and strategic planning.
Junior Data Scientist
Assist data science teams with data analysis, basic Python and statistical techniques while working on predictive and analytical projects.
Data Scientist
With experience and advanced skills, work on predictive modeling, data mining and machine learning to extract insights from complex datasets.
Data Engineer
Design and maintain data pipelines, databases and ETL processes using Python, SQL and data engineering tools.
Database Administrator
Manage, optimize, and secure databases such as MySQL, PostgreSQL, Oracle or SQL Server, focusing on performance and availability.
Data Architect
Plan and design scalable data architectures and data warehousing solutions, typically requiring significant industry experience.
Job-Ready Data Analyst Course in NIBM, Pune
Python for Data Analytics
SQL & Databases
Power BI
Linux
Cloud Fundamentals
Job-Ready Data Analyst Course in NIBM, Pune
Python for Data Analytics
SQL & Databases
Power BI
Linux
Cloud Fundamentals
Become a Certified Data Analyst in Pune
- Industry-relevant curriculum
- Skill-focused assessment
- Recognized learning credential
- Shareable certificate for LinkedIn & resumes
Become a Certified Data Analyst in Pune
- Industry-relevant curriculum
- Skill-focused assessment
- Recognized learning credential
- Shareable certificate for LinkedIn & resumes
About NovaTech
Nova Tech is a Pune-based training institute offering practical, job-oriented Data Analytics Classes in Pune. We help learners build industry-relevant skills through hands-on training, real-world projects, and structured learning paths aligned with current market needs. Our programs cover essential analytics tools and concepts, enabling students to apply their knowledge confidently in real business scenarios.
With guided mentorship and a strong focus on skill development, Nova Tech supports freshers, working professionals, and career switchers. Our goal is to help learners build practical data analytics skills that support long-term career growth.
Book Free Demo ClassAbout NovaTech
Nova Tech is a Pune-based training institute offering practical, job-oriented Data Analytics Classes in Pune. We help learners build industry-relevant skills through hands-on training, real-world projects, and structured learning paths aligned with current market needs. Our programs cover essential analytics tools and concepts, enabling students to apply their knowledge confidently in real business scenarios.
With guided mentorship and a strong focus on skill development, Nova Tech supports freshers, working professionals, and career switchers. Our goal is to help learners build practical data analytics skills that support long-term career growth.
Meet Our Expert Mentors
Learn from experienced professionals who have built and led real-world data analytics, ERP, and cloud systems across industries.
Meet Our Expert Mentors
Learn from experienced professionals who have built and led real-world data analytics, ERP, and cloud systems across industries.
Real Learners. Real Success.
Real Learners. Real Success.
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Build Your Tech Career in 6 Months
Hands-on training, real projects, mentorship & placement support — even if you're starting from zero.
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Best Data Analyst Course in NIBM, Pune
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