Data Analytics Using Python and SQL Certificate Program
Build strong foundations in data analytics with Python and SQL for data exploration, querying, and insight generation.
Program Overview
The Data Analytics using Python and SQL Certificate Program helps learners build foundational data analytics skills using Python and SQL. The program covers database querying, data cleaning, data analysis, and basic data visualization. Through practical exercises and guided learning, participants gain experience working with datasets, writing SQL queries, and using Python libraries to analyze and interpret data, building a strong foundation in data analytics and data-driven decision making.
Curriculum
Comprehensive curriculum to build in-demand tech skills and real-world expertise.
Develop practical data analysis and visualization skills using MS Excel
Learn Excel fundamentals, data cleaning, PivotTables, and visualization to analyze datasets and present insights through charts and dashboards.
Sales Performance Dashboard, Customer Insights Analysis, Retail Data Visualization
Design and manage relational databases using SQL
Learn database design using ER diagrams and normalization. Create, update, and retrieve data from MySQL using SQL queries, and implement triggers and stored procedures while maintaining data consistency.
Fitness Tracker Database, Movie Streaming Platform Database, Online Bookstore Database
Build Python programming skills for automation and data analysis
Learn Python fundamentals, problem-solving techniques, and object-oriented programming concepts. Work with data structures and libraries such as NumPy and Pandas while integrating APIs and GenAI tools for automation and data-driven workflows.
Data Automation Script, Data Processing Tool, API-Based Data Extraction
Perform structured data analysis and visualization using Python
Use NumPy and Pandas to analyze datasets and connect Python to databases for data retrieval and manipulation. Perform statistical analysis and visualize insights using Python tools and GenAI assistance.
Exploratory Data Analysis (EDA) Project with Python
Tools & Technologies
Explore industry-relevant tools through hands-on learning to master practical, in-demand skills.
Projects You'll Build
Build production-ready projects to showcase real-world skills and strengthen your portfolio.
Capstone Project
Learners will clean, process, and visualize data in Excel, query databases with SQL, and automate analysis using Python. They will perform EDA with Pandas and NumPy, leverage GenAI for enhanced insights, and present findings in a clear, actionable, story-driven format.
Boost Your Career Visibility
Showcasing a professional Capstone Project on your LinkedIn increases recruiter interest significantly. Build production-ready work that speaks for itself.
Learning Outcomes
Develop industry-relevant skills to create real-world solutions and advance your career.
Understand and manage structured data using MS Excel and SQL.
Write SQL queries to retrieve, filter, and analyze data from relational databases.
Apply Python programming for data processing, automation, and analysis tasks.
Perform Exploratory Data Analysis (EDA) using Python libraries such as Pandas and NumPy.
Visualize data and communicate insights using charts, dashboards, and storytelling techniques.
Apply descriptive statistical techniques to interpret data patterns and trends.
Industry-Recognized Certification
Certificate of Completion
This is to certify that
Has successfully completed the Data Analytics Using Python and SQL Certificate Program
Signature
Date
Earn a trusted NIIT professional certificate.
Global Recognition
Accepted by leading employers and organizations worldwide.
Easy Sharing
Add your certificate to LinkedIn, resumes, and professional portfolios.
Career Value
Demonstrates practical skills aligned with industry needs.
Data-Driven Learning, Delivered with Quality
Experience a data-driven learning ecosystem with measurable progress.
Structured Learning Roadmap
Clear learning pathways delivered through our LMS with defined milestones and module progression.
Learner Connect Sessions
Regular live mentor interactions to resolve doubts, reinforce concepts, and maintain engagement.
AI Assisted Faculty Quality Monitoring
AI-assisted faculty performance analysis ensures consistent teaching quality and delivery excellence.
Program Performance Report
Track attendance, assignments, assessments, quizzes, and overall performance with structured progress tracking.
Frequently Asked Questions
Find answers to your queries about the program, curriculum, and admissions.
Candidates who have completed Class X and XII are eligible to apply. The program is open to undergraduates and graduates and is designed for beginners, including those without prior programming experience. With a beginner-friendly approach and practical learning, it helps participants build in-demand data analytics skills and strengthen their foundation for future growth.
Admission to the program is direct. Eligible learners can apply by filling out the online application form, submitting the self-declaration and accepting the terms and conditions, and paying the program fee. Admission is confirmed once the payment is successfully completed.
The program follows NIIT’s Mastery Learning methodology, focusing on building one skill at a time through structured, hands-on sprints. Each sprint includes concept introduction through live mentor sessions, individual practice and assignments, mentor review and feedback, and refinement with re-submission of work. Learners typically spend around 4 hours per sprint, with most of the time dedicated to hands-on application and reflection
Upon successful completion of the program, learners gain foundational skills in data analytics using Python and SQL. They will be able to retrieve and manage data using SQL, perform data analysis with Python libraries, and interpret datasets through basic visualization and statistical techniques, building a strong base for further learning in the data analytics domain.
Learners need a laptop or desktop with Intel i3 or AMD Ryzen 3 (or higher), at least 8 GB RAM, and 50 GB free disk space, along with a functional webcam and microphone. The system should run Windows 10 or macOS (or higher) with the latest Chrome or Edge browser, MS Office or equivalent tools, and a PDF reader installed. A stable Wi-Fi or broadband connection with a minimum speed of 5 Mbps is required, and a backup internet connection is recommended.
Yes, Learners receive a digital certificate after successfully completing the program and meeting all the required conditions (Overall Performance Score, Attendance, Payment Clearence etc).
Hassle-Free Refund Policy
Your satisfaction is our priority. We offer transparent refund terms for your peace of mind.
100% Money-Back Guarantee
Full refund (excluding the booking fee) if you cancel before the batch starts
Quick Refund Review
Eligible refund requests are carefully reviewed within Seven working days
Transparent Refund Timeline
Approved refunds are completed within 45 days for timely settlement
Important: Enjoy a transparent refund policy. Cancel 48 hours before the class start date to be eligible for a refund if you haven’t attended any class.
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