Diploma in Data Analytics

Manage, query, and manipulate databases using MySQL for structured data insights and reporting. 

Learn Python programming fundamentals, functions, OOPs, and data analysis libraries like NumPy, Pandas, Matplotlib & Seaborn. 

Visualize and analyze data using Power BI with interactive dashboards, DAX, and advanced analytics tools. 

Analyze and predict trends using ARIMA, SARIMA & LSTM models for time-dependent data. 

Supervised and unsupervised learning techniques for classification, regression, clustering, and feature reduction. 

Deploy, monitor, and optimize machine learning models using MLOps, hyperparameter tuning, and CI/CD for ML. 

• Business Analyst
• Operations Analyst
• Business Intelligence Analyst
• Junior Data Analyst
• Data Quality Analyst
• Research Analyst
• Data Technician
• Data Consultant

• Financial Analyst
• Data Coordinator
• Analytics Manager
• Machine Learning Engineer
• Lead Data Scientist
• Director of Analytics
• Chief Data Officer (CDO) 

Yes! This course is perfect for beginners and those changing careers. We teach you everything from scratch.

Of course! Skills in data analytics are in demand, and our course helps you confidently return to work with hands-on training and placement support.

No coding experience is needed! We start with basics and teach you tools like Python and SQL in a simple way.

Yes, we provide full placement support, including resume building, interview practice, and job referrals.

Upon completion, you can pursue roles such as:

• Data Analyst 
• Business Analyst 
• Junior Data Scientist 
• SQL/Data Engineer 
• Data Visualization Specialist
• Market Research Analyst 
• Power BI Developer