Become an industry-ready Python Developer and Data Analyst by mastering Core Python, Advanced Python, Object-Oriented Programming, File Handling, Exception Handling, Modules, Packages, Pandas, NumPy, Matplotlib, Seaborn, SQL, Data Visualization, Automation, and real-time projects with expert-led training and placement assistance.
Enroll NowPython is one of the world's most popular and powerful programming languages, widely used in Software Development, Data Analytics, Artificial Intelligence, Machine Learning, Automation, Web Development, and Cloud Computing. Its simple syntax, extensive libraries, and cross-platform capabilities make Python the preferred choice for beginners as well as experienced developers.
This comprehensive Python Development & Data Analytics Training program is designed for students, graduates, working professionals, and career changers who want to become industry-ready Python Developers or Data Analysts. Participants will gain practical experience in Core Python, Advanced Python, Object-Oriented Programming (OOP), File Handling, Exception Handling, Modules & Packages, Regular Expressions, SQL, Pandas, NumPy, Matplotlib, Seaborn, Data Visualization, Automation, and real-time projects with expert guidance and placement assistance.
Build a successful career in Python Development and Data Analytics through hands-on training covering Core Python, Advanced Python, Object-Oriented Programming, SQL, Pandas, NumPy, Matplotlib, Seaborn, Automation, Data Visualization, and real-time industry projects with expert guidance.
16 Weeks of comprehensive Python Development and Data Analytics training with practical assignments, coding exercises, and real-time projects.
Master Python fundamentals, advanced programming concepts, Object-Oriented Programming (OOP), File Handling, Exception Handling, Modules, Packages, and Regular Expressions.
Learn industry-standard data analytics using Pandas, NumPy, data cleaning, transformation, exploratory data analysis, and statistical techniques.
Create professional dashboards and visual reports using Matplotlib and Seaborn to communicate business insights effectively.
Learn SQL fundamentals, complex queries, joins, functions, aggregations, and database integration with Python applications.
Practice with more than 150 coding programs covering real-world programming scenarios and problem-solving techniques.
Gain practical experience by developing automation, data analytics, and Python application projects based on real industry use cases.
Reinforce your learning with 100+ coding exercises, assignments, quizzes, and interview-oriented programming challenges.
Learn directly from an experienced software professional with over 19 years of expertise in software development, databases, analytics, and enterprise technologies.
Receive resume building, GitHub profile guidance, mock interviews, coding assessments, and placement assistance to confidently start your IT career.
Become an industry-ready Python Developer and Data Analyst through practical, project-based training. Learn Core Python, Advanced Python, SQL, Pandas, NumPy, Matplotlib, Seaborn, Data Visualization, Automation, and real-world development techniques guided by experienced industry professionals.
Master Core Python and Advanced Python concepts including variables, data types, operators, control statements, functions, Object-Oriented Programming (OOP), file handling, exception handling, modules, packages, and regular expressions.
Learn data analysis using Python with Pandas, NumPy, data cleaning, transformation, exploratory data analysis, statistical analysis, and business reporting using real-world datasets.
Build meaningful charts, graphs, and dashboards using Matplotlib and Seaborn to transform raw data into actionable business insights.
Learn SQL fundamentals, joins, subqueries, functions, aggregations, views, and database connectivity with Python to analyze and manage enterprise data efficiently.
Work on real-world Python applications, automation tools, data analytics projects, and business case studies that strengthen your portfolio and practical skills.
Strengthen your programming skills through 150+ Python coding exercises, 100+ assignments, debugging sessions, and interview-oriented problem-solving practice.
Receive expert guidance from a trainer with over 19 years of experience in software development, databases, analytics, enterprise applications, and IT consulting.
Prepare for Python Developer and Data Analyst careers with resume building, GitHub portfolio guidance, mock interviews, coding assessments, career mentoring, and placement assistance.
Python is one of the most in-demand programming languages across industries. After completing this course, you can pursue rewarding careers in software development, data analytics, automation, artificial intelligence, and business intelligence with leading IT companies and startups.
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Discover how our practical Python Development and Data Analytics training has helped students build programming skills, complete real-world projects, crack technical interviews, and launch successful careers in the IT industry.
The Python training was easy to understand and highly practical. Every concept was explained with coding examples and real-world exercises. The hands-on approach helped me build confidence in Python programming and problem-solving.
View Google ReviewThe Data Analytics sessions using Python, SQL, Pandas, and NumPy were excellent. The real-time datasets, assignments, and projects improved my analytical skills and prepared me for interviews.
View Google ReviewThe trainer's teaching methodology, practical coding sessions, real-time projects, interview preparation, and career guidance made learning Python and Data Analytics enjoyable and career-focused. I highly recommend this training program.
View Google ReviewCourse: Python for Data Analytics Training
Date: 03 August 2026
Time: 09:00 AM - 10:00 AM IST
Class: 1 Hour
Schedule: Weekdays-Online
Platform: Zoom Meeting
Fee: Contact Us for Fee Details
Meeting Link: Join Demo Class
Develop enterprise-grade PostgreSQL administration skills through immersive hands-on labs, real-world production use cases, performance tuning exercises, high availability configurations, and database recovery simulations.
The following videos showcase our training methodology and teaching approach. PostgreSQL-specific demo sessions are available upon request.
No. This course is designed for beginners and starts from the basics, including Python installation, IDE setup, writing your first program, variables, data types, and programming fundamentals before progressing to advanced Python and Data Analytics concepts.
We provide step-by-step guidance for installing Python on Windows, Linux, and macOS. You'll also learn to configure Visual Studio Code, PyCharm, Jupyter Notebook, Python virtual environments, and essential development tools used in the industry.
The course covers Core Python, Advanced Python, Object-Oriented Programming (OOP), File Handling, Exception Handling, Modules, Packages, Regular Expressions, SQL, Pandas, NumPy, Matplotlib, Seaborn, Data Cleaning, Data Visualization, REST APIs, Git, GitHub, Automation, and real-time industry projects.
Yes. The Data Analytics module starts with the fundamentals of data analysis, followed by data cleaning, data transformation, exploratory data analysis (EDA), statistical analysis, visualization, and business reporting using real-world datasets.
Yes. The training includes multiple real-world projects covering Python programming, automation, data analysis, data visualization, SQL integration, REST APIs, and business problem-solving to help you gain practical experience.
Absolutely. Students work on more than 150 Python programming exercises, 100+ assignments, coding challenges, debugging sessions, and hands-on practical labs to strengthen programming and analytical skills.
Yes. Our flexible weekday and weekend batches are designed for students, fresh graduates, working professionals, and anyone looking to build a career in Python Development, Data Analytics, Automation, AI, or Machine Learning.
Yes. The course includes resume preparation, GitHub portfolio guidance, LinkedIn profile optimization, mock technical interviews, coding assessments, career mentoring, and placement assistance to help you become job-ready.
Master Python Programming from installation to advanced concepts, including Core Python, Advanced Python, SQL, Pandas, NumPy, Matplotlib, Seaborn, Data Analytics, Automation, REST APIs, Git & GitHub, and real-time projects. Learn from an industry expert with 19+ years of experience and become job-ready with interview preparation and placement assistance.
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