Master Python for Data Analysis with AI
The Python for Data Analysis with AI program is a 2-month, 40-hour offline training program focused on Python programming, data analytics, databases, data visualization, numerical computing and data analysis.
The supplied brochure highlights Python, MySQL, GitHub Copilot, VS Code, NumPy, Pandas and Matplotlib as the key tools, along with NIPSTec's 25+ years of training experience, qualified and experienced trainers, job-oriented programs and industry-relevant curriculum.
Key Highlights
Python Programming
Learn Python fundamentals, variables, data types, operators, input, control statements, loops, data structures, functions and file handling.
MySQL & Databases
Cover database fundamentals, DBMS and RDBMS concepts, MySQL Workbench, SQL queries, table management and database operations.
Python-MySQL Integration
Connect Python with MySQL and work with database connectivity, Create, Alter, Drop, Select, Insert and Update operations.
Data Visualization
Use Matplotlib for line graphs, bar charts, pie charts, histograms, scatter plots, other visualizations and analytical dashboards.
NumPy
Work with NumPy arrays, array creation and manipulation, concatenate, append, reshape, numerical functions and analysis assignments.
Pandas & Data Analysis
Learn Series and DataFrames, data transformation, Apply, Aggregate, Assign, GroupBy, Join, Query, sorting, filtering and summarization.
Course Overview
The curriculum progresses from Python fundamentals and programming techniques into data structures, functions, file handling, databases and SQL, followed by Python-MySQL integration, Matplotlib visualization, NumPy numerical computing and Pandas data analysis.
Program Curriculum
The curriculum below follows the supplied Python for Data Analysis with AI brochure, retaining its subject areas and terminology.
Module 1Python Fundamentalsโ
- 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 2Control Statements and Loopsโ
- If, If-Else, and Elif statements
- Nested If statements
- For and While loops
- Break, Continue, and Pass statements
- Program flow control techniques
Module 3Python Data Structuresโ
- 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 4Functions and File Handlingโ
- User-defined functions
- Built-in functions
- Lambda functions
- File handling operations
- Exception handling techniques
- Working with CSV and Excel files
Module 5Python Modules and Arraysโ
- Date, Math, OS, Random, Statistics, and Sys modules
- One-dimensional arrays
- Two-dimensional arrays
- Array operations and applications
Module 6Database Fundamentalsโ
- Introduction to databases
- Types of databases
- Difference between DBMS and RDBMS
- Keys, entities, and attributes
- Relationships and database data types
- 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 7SQL and Database Managementโ
- 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 8Advanced SQL Queriesโ
- Select and Where clauses
- And, Or, In, Like, Not operators
- Is Null and Is Not Null conditions
- Between and Distinct clauses
- Order By, Group By, and Having clauses
Module 9Python-MySQL Integrationโ
- Environment setup for database connectivity
- Connecting Python with MySQL
- Database connection management
- Performing Create, Alter, Drop operations
- Executing Select, Insert, and Update commands
Module 10Data Visualization with Matplotlibโ
- Line graphs and bar charts
- Pie charts and histograms
- Scatter plots and other visualizations
- Creating analytical dashboards
- Visualization assignments and practice
Module 11Numerical Computing with NumPyโ
- 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 12Data Analysis with Pandasโ
- Series and DataFrame concepts
- Data manipulation and transformation
- Apply, Aggregate, Assign, and Count functions
- Describe, Cut, and Drop Duplicates functions
- GroupBy, Join, and Query operations
- Sorting, Summarizing, and Filtering data
- Data analysis assignments
Tools & Technologies You'll Learn
The brochure's Tools to Master section lists Python, MySQL, GitHub Copilot, VS Code, NumPy, Pandas and Matplotlib.
Career-Ready Python & Data Analytics Skills
The program combines Python programming, SQL and databases, Python-MySQL integration, visualization, numerical computing and data analysis as listed in the brochure.
Python Programming
Build programming foundations with variables, data types, control statements, loops, functions, modules and data structures.
SQL & Database Management
Work with DBMS/RDBMS concepts, MySQL databases, tables, SQL queries, clauses and database maintenance.
Python-MySQL Integration
Develop database connectivity skills and execute Create, Alter, Drop, Select, Insert and Update commands through Python.
Data Visualization
Create line graphs, bar charts, pie charts, histograms, scatter plots and analytical dashboards using Matplotlib.
Numerical Computing
Use NumPy arrays and numerical operations including concatenate, append, reshape, sum, mean, transpose, unique, where and random functions.
Data Analysis with Pandas
Analyze and transform data using Series, DataFrames, Apply, Aggregate, GroupBy, Join, Query, sorting and filtering.
Learning & Practical Support
Structured Learning
The syllabus progresses from Python fundamentals into databases, visualization, NumPy and Pandas data analysis.
Offline Training
The brochure lists Offline as the mode of training for the 2-month program.
Practical Exercises
Practical exercises, assignments, visualization practice, numerical analysis assignments and data analysis assignments are included.
Data Analytics Stack
Build skills across Python, NumPy, Pandas, Matplotlib and MySQL.
Development Tools
The brochure highlights VS Code and GitHub Copilot alongside Python and data analytics technologies.
Database Practice
Learn database creation, table design, SQL queries, backup and restore, user management and Python connectivity.
Why Choose NIPSTec
The brochure highlights 25+ years of experience in training students and corporates, PAN India reach, trust by corporates, PSUs, government and private sector, qualified and experienced trainers, job-oriented programs and industry-relevant curriculum. It also identifies NIPSTec as an ISO 9001:2015 certified company.
25+ Years of Experience
Experience in training students and corporates.
Qualified & Experienced Trainers
Qualified and experienced trainers are highlighted by the brochure.
Industry-Relevant Curriculum
The brochure highlights industry-relevant curriculum and job-oriented programs.
Job-Oriented Programs
NIPSTec identifies its programs as job-oriented.
PAN India Reach
The brochure highlights PAN India reach and trust across multiple sectors.
ISO 9001:2015 Certified
The brochure identifies NIPSTec as an ISO 9001:2015 certified company.
Enquire About Python for Data Analysis with AI
Submit your details to get course information, batch guidance and admission assistance.
Interested in PYTHON for Data Analysis with AI?
Share your details โ our counsellor will call you within 24 hours.
Python for Data Analysis with AI FAQs
Common questions about the program
What is the duration of the program?
The supplied brochure lists 2 Months and 40 Hours Duration.
Is the training offline?
Yes. The brochure lists Offline as the mode of training.
Which tools are covered?
The brochure's Tools to Master section lists Python, MySQL, GitHub Copilot, VS Code, NumPy, Pandas and Matplotlib.
Does the course cover Python fundamentals?
Yes. The curriculum includes Python features, history, applications, installation, programs, variables, data types, literals, operators, input and comments.
Does the course include SQL and MySQL?
Yes. Database fundamentals, MySQL Workbench, database and table management, SQL queries, clauses and database maintenance are included.
Does the course include Python-MySQL integration?
Yes. The brochure includes database connectivity setup, connecting Python with MySQL, connection management and Create, Alter, Drop, Select, Insert and Update commands.
Does the program cover NumPy and Pandas?
Yes. NumPy covers arrays and numerical operations, while Pandas covers Series, DataFrames, transformation, aggregation, GroupBy, Join, Query, sorting and filtering.
Does the program include data visualization?
Yes. Matplotlib topics include line graphs, bar charts, pie charts, histograms, scatter plots, other visualizations and analytical dashboards.
Where is the NIPSTec training location shown on the brochure?
The brochure's contact information lists D-82, First Floor, Malviya Nagar, New Delhi - 110017 (India).