Python for Data Analysis with AI Course in Malviya Nagar
Master Python for Data Analysis with AI and build practical skills in Python programming, NumPy, Pandas, Matplotlib, MySQL and SQL. Learn data manipulation, numerical computing, data visualization and database integration with AI-assisted development using GitHub Copilot.
Master Python for Data Analysis with AI in Malviya Nagar
NIPSTec — Python Data Analytics Training Institute in Malviya Nagar, South Delhi
Looking for a practical Python for Data Analysis course in Malviya Nagar, Delhi? NIPSTec's Python for Data Analysis with AI program is designed to build strong programming, database and data analytics skills through structured classroom training.
The course starts with Python fundamentals and progressively covers variables, data types, operators, control statements, loops, functions, file handling, exception handling, Python modules and arrays. You will also work with CSV and Excel files and complete practical exercises and assignments.
The data analytics component introduces NumPy for numerical computing, Pandas for data manipulation and transformation, and Matplotlib for creating meaningful charts and visualizations. You will learn Series and DataFrame concepts, filtering, sorting, aggregation, GroupBy, Join and Query operations.
The program also covers database fundamentals, SQL and MySQL Workbench, including database creation, table management, queries, keys, relationships and advanced SQL clauses. Python-MySQL integration helps you understand how Python applications can connect with and work with databases.
AI-assisted development is incorporated through tools such as GitHub Copilot, helping learners understand how AI coding assistance can support programming and data-focused development workflows while building their core Python and analytics skills.
Key Highlights of Python for Data Analysis with AI Course
Python Programming
Build a strong foundation in Python syntax, variables, data types, operators, control flow, functions and modules.
Data Analytics with Pandas
Work with Series and DataFrames and learn practical data manipulation, transformation, filtering, sorting and aggregation.
Numerical Computing with NumPy
Learn NumPy arrays and numerical operations including reshape, concatenate, append, sum, mean, transpose and more.
Data Visualization
Create line graphs, bar charts, pie charts, histograms, scatter plots and analytical dashboards using Matplotlib.
MySQL & SQL
Learn database fundamentals, SQL queries, table management, conditions, clauses, joins and MySQL Workbench.
AI-Assisted Development
Explore GitHub Copilot for AI-assisted coding alongside practical Python programming and data analytics workflows.
Python-MySQL Integration
Learn database connectivity and perform database operations using Python and MySQL.
Practical Assignments
Reinforce concepts through hands-on exercises and assignments throughout the program.
Python for Data Analysis with AI Course Overview & Duration
NIPSTec's Python for Data Analysis with AI course is a 40-hour, 2-month offline classroom program covering Python programming, data structures, SQL, MySQL, NumPy, Pandas, Matplotlib and Python-MySQL integration.
The curriculum is designed to help learners develop practical data analytics skills while understanding the programming and database concepts required to work with real-world data.
Skills You'll Gain
Python for Data Analysis with AI Course Curriculum
The curriculum follows the brochure and covers Python programming, databases, SQL, Python-MySQL integration, NumPy, Pandas and Matplotlib. Each module includes practical exercises or assignments wherever specified in the program.
Module 1 Python Fundamentals ⌄
- Introduction to Python and its features
- History and evolution of Python
- Applications of Python in various industries
- Downloading and installing Python
- Writing and executing simple Python programs
- Variables, data types, literals and operators
- User input and comments in Python
- Python IDLE and development environment
Module 2 Control Statements and Loops ⌄
- If, If-Else and Elif statements
- Nested If statements
- For and While loops
- Break, Continue and Pass statements
- Program flow control techniques
Module 3 Python Data Structures ⌄
- String data type and string functions
- List data type and list functions
- Set data type and set functions
- Dictionary data type and dictionary functions
- Practical exercises and assignments
Module 4 Functions and File Handling ⌄
- User-defined functions
- Built-in functions
- Lambda functions
- File handling operations
- Exception handling techniques
- Working with CSV and Excel files
Module 5 Python Modules and Arrays ⌄
- Date module
- Math module
- OS module
- Random module
- Statistics module
- Sys module
- One-dimensional arrays
- Two-dimensional arrays
- Array operations and applications
Module 6 Database Fundamentals ⌄
- Introduction to databases
- Types of databases
- Difference between DBMS and RDBMS
- Keys, entities and attributes
- Relationships and database data types
Module 7 SQL and Database Management ⌄
- Creating, using and deleting databases
- Creating, altering, renaming and dropping tables
- Copying and truncating tables
- Insert, Update and Delete operations
- Data management and maintenance
Module 8 Advanced SQL Queries ⌄
- Select and Where clauses
- And, Or, In, Like and Not operators
- Is Null and Is Not Null conditions
- Between and Distinct clauses
- Order By clause
- Group By clause
- Having clause
Module 9 MySQL Workbench ⌄
- Introduction to MySQL Workbench
- Database creation and management
- Writing and executing SQL queries
- Table design and management
- Database backup and restore
- User management and security
Module 10 Python-MySQL Integration ⌄
- Environment setup for database connectivity
- Connecting Python with MySQL
- Database connection management
- Performing Create operations
- Performing Alter operations
- Performing Drop operations
- Executing Select commands
- Executing Insert commands
- Executing Update commands
Module 11 Data Visualization with Matplotlib ⌄
- Line graphs and bar charts
- Pie charts and histograms
- Scatter plots and other visualizations
- Creating analytical dashboards
- Visualization assignments and practice
Module 12 Numerical Computing with NumPy ⌄
- Working with NumPy arrays
- Array creation and manipulation
- Concatenate, Append and Reshape functions
- Sum, Mean and Transpose functions
- Unique, Where and Random functions
- Numerical analysis assignments
Module 13 Data Analysis with Pandas ⌄
- Series and DataFrame concepts
- Data manipulation and transformation
- Apply, Aggregate, Assign and Count functions
- Describe, Cut and Drop Duplicates functions
- GroupBy operations
- Join operations
- Query operations
- Sorting, summarizing and filtering data
- Data analysis assignments
Module 14 AI-Assisted Development ⌄
- Introduction to AI-assisted programming workflows
- GitHub Copilot as an AI coding assistant
- AI-assisted code suggestions and development support
- Using AI tools alongside core Python programming skills
- Practical development workflow with VS Code and GitHub Copilot
Python Data Analytics Tools You'll Learn
The program introduces practical tools and technologies used for Python programming, database management, numerical computing, data analysis, visualization and AI-assisted coding.
Career Opportunities After Python Data Analytics Course
Python combined with data analytics, SQL, NumPy, Pandas, Matplotlib and database skills can help learners prepare for a range of entry-level and growing technology roles. Actual job titles and opportunities depend on individual skills, experience and employer requirements.
Python Developer
Develop Python-based applications, scripts and programming solutions.
Data Analyst
Analyse, clean, transform and summarize data using Python-based analytics tools.
Junior Data Analyst
Support data preparation, reporting, analysis and visualization activities.
Python Data Analyst
Combine Python programming with Pandas, NumPy and visualization workflows.
Database Executive
Work with SQL, MySQL, database records and data-management activities.
Reporting & Analytics Executive
Prepare reports, summaries, visualizations and analytical outputs from structured data.
Data Visualization Associate
Create charts, graphs and analytical visualizations using Matplotlib.
Python Automation Trainee
Apply Python programming concepts to practical automation and data-processing tasks.
Practical Learning & Career Support
Pre-Training Assessment
Your current skill level and learning requirements are assessed before training to help align the learning journey.
Expert-Led Classes
Learn through instructor-led classroom sessions focused on practical concepts and real-world applications.
Hands-On Practice
Practise Python programs, SQL queries, database tasks, data manipulation and visualization exercises.
Practical Assignments
Apply Python, NumPy, Pandas and Matplotlib concepts through assignments included in the curriculum.
Post-Training Evaluation
Evaluate your learning progress and understand how well you have mastered the covered skills.
Course Completion Certificate
Receive a course completion certificate after successfully completing the training program.
Why Choose NIPSTec — India's Premier Training Destination
With over 25 years of excellence, NIPSTec stands as one of India's leading training and development organisations. The institute is known for delivering high-quality, industry-aligned training to students, professionals, corporates and government departments.
NIPSTec provides classroom and online live interactive training led by experienced trainers. The training approach focuses on practical learning, personalised guidance and skills that can be applied to real-world challenges.
Whether you are a student starting your professional journey, a working professional looking to upgrade your Python and analytics skills, or an organisation seeking customised training, NIPSTec provides structured learning solutions.
Training Methodology That Helps You Succeed
Pre-Training Assessment
We assess your current skill level and learning needs before training begins.
Expert-Led Classes
Learn directly from qualified and experienced trainers through structured classroom sessions.
Practical Curriculum
Learn Python, SQL, MySQL, NumPy, Pandas and Matplotlib through an industry-relevant curriculum.
Post-Training Evaluation
Track your progress and evaluate your understanding after completing the training.
AI-Assisted Learning
Explore GitHub Copilot and AI-assisted coding workflows alongside core programming concepts.
PAN India Reach
NIPSTec delivers training to learners, corporates, PSUs, government and private-sector organisations.
Join the NIPSTec Community of 1,00,000+ Learners
The brochure includes learner and organisation testimonials across courses including Advanced Data Analytics with AI, Python, Advanced Excel and related programs.
★★★★★
The Python training helped me understand programming concepts in a structured and practical way. The trainer explained the topics clearly and provided useful practice.
Apramay · Python Learner
★★★★★
The Advanced Data Analytics with AI program provided practical exposure to data analytics concepts and tools in an organised learning environment.
Jyotleen · Advanced Data Analytics with AI Learner
★★★★★
The training experience was structured, interactive and useful for building practical skills that can be applied in professional work.
Prince · Advanced Data Analytics Learner
★★★★★
The classroom training and trainer guidance helped make the learning process easier to follow and understand.
Sameer Khan · CCA Learner
★★★★★
Practical training and a structured curriculum made it easier to build confidence in the course concepts.
Mayank · Advanced Excel Learner
★★★★★
NIPSTec's training environment provided useful guidance and an organised approach to learning professional skills.
Naval Dockyard · Training Organisation
Interested in PYTHON for Data Analysis with AI?
Share your details — our counsellor will call you within 24 hours.
Python for Data Analysis with AI Course FAQs — Malviya Nagar, Delhi
Where is the Python Data Analysis training center located?
NIPSTec's Python for Data Analysis with AI training center is located at D-82, First Floor, Malviya Nagar, New Delhi - 110017.
What is the duration of the Python for Data Analysis with AI course?
The brochure specifies a 40-hour training program delivered over 2 months.
Is this Python Data Analytics course available in offline mode?
Yes. The program brochure specifies offline mode of training. Contact NIPSTec for the latest batch schedule and timings.
What will I learn in the Python Data Analysis course?
The curriculum covers Python fundamentals, control statements, data structures, functions, file handling, Python modules and arrays, databases, SQL, MySQL Workbench, Python-MySQL integration, Matplotlib, NumPy and Pandas.
Does the course include NumPy and Pandas?
Yes. NumPy is covered for numerical computing and array manipulation, while Pandas is covered for Series, DataFrames, data manipulation, transformation, GroupBy, Join, Query, sorting, summarizing and filtering data.
Does the course teach Matplotlib for data visualization?
Yes. The Matplotlib module includes line graphs, bar charts, pie charts, histograms, scatter plots, other visualizations and analytical dashboards.
Is MySQL included in the Python Data Analytics course?
Yes. The curriculum includes database fundamentals, SQL and database management, advanced SQL queries, MySQL Workbench and Python-MySQL integration.
Will I learn how to connect Python with MySQL?
Yes. The Python-MySQL Integration module covers environment setup for database connectivity, connecting Python with MySQL, database connection management and Create, Alter, Drop, Select, Insert and Update operations.
Does the course include AI tools?
Yes. The brochure features GitHub Copilot among the tools to master. The course page therefore includes AI-assisted development and GitHub Copilot as part of the learning workflow, alongside core Python and data analytics skills.
Is GitHub Copilot a replacement for learning Python?
No. GitHub Copilot is presented as an AI-assisted development tool. The course first builds core Python programming, database and data analytics skills and then incorporates AI-assisted coding into the development workflow.
Which tools are covered in the Python Data Analytics program?
The brochure highlights Python, MySQL, GitHub Copilot, VS Code, NumPy, Pandas and Matplotlib. SQL and MySQL Workbench are also covered as part of the database curriculum.
Is this course suitable for beginners in Python?
The curriculum begins with Python introduction, installation, simple programs, variables, data types, operators and user input, making it suitable for learners who want to build their Python foundation before moving into data analytics topics.
Can working professionals join this Python Data Analysis course?
The program can be relevant for working professionals looking to develop Python, SQL and data analytics skills. Contact the NIPSTec team for current batch timings and availability.
What career opportunities can Python Data Analytics skills provide?
Depending on your skills, experience and employer requirements, Python and data analytics knowledge can support career paths such as Python Developer, Data Analyst, Junior Data Analyst, Python Data Analyst, Database Executive and Reporting or Analytics roles.
Is there a certificate after completing the course?
NIPSTec provides a course completion certificate after successful completion of the training program. Contact the institute for current certification details.
How can I enquire about the Python Data Analysis course fee?
You can submit the enquiry form on this page or contact NIPSTec directly for the latest course fee, batch schedule and payment information.
Is NIPSTec an ISO 9001:2015 certified company?
Yes. The course brochure identifies NIPSTec as an ISO 9001:2015 certified company and highlights qualified and experienced trainers, job-oriented programs and an industry-relevant curriculum.