Course Overview:
Launch your career in tech with our Python + SQL with Data Analytics Project course. This program is perfect for beginners, students, and job aspirants who want to build strong programming skills, understand databases, and apply analytics to real-world datasets. You’ll learn Python from scratch, perform SQL queries, and build a real-time analytics project using Pandas, Matplotlib, and MySQL.
Way of Training:
- Mode: Online / Offline
- Duration: 45 Days
- Online Sessions: 1 Hour/Day
- Offline Sessions: 1 Hour Theory + 1 Hour Lab/Practical
Python + SQL (MySQL) with Data Analytics Project
Course Fee:
- Online Mode: 4999/- only
- Offline Mode: 7999/- only
Includes:
- Live / Pre-recorded sessions
- Class notes, worksheets & soft copy materials
- Real-world assignments and exercises
- Telegram/WhatsApp support group
- Interview questions and model answers
- Mini Project with walkthrough and dataset
Instructor Video :
About Python Course:
Python is one of the most popular and beginner-friendly programming languages today. It is widely used in web development, data science, automation, AI/ML, and backend development. This course will take you from zero to confident programmer, with hands-on coding, simple examples, and real-time project experience.
Job Opportunities After Learning Python:
- Python Developer
- Data Analyst / Data Scientist
- Web Developer (Django/Flask)
- Automation Engineer
- AI / ML Enthusiast
- Freelancing & Internships
- Great base for learning advanced technologies
Importance of Python in College Campus Placements:
- Frequently used in coding rounds and hackathons
- Part of many technical written tests
- Important in government exams and IT-based roles
- Helps build a strong logic for Data Structures & Algorithms
- Useful for mini & major projects
Course content
Module 1: Introduction to Python
- Why Python? Features and Uses
- Installing Python and Setting Up IDE
- Writing your first Python program
- Understanding syntax and indentation
- Running Python scripts
Module 2: Variables and Data Types
- Declaring and using variables
- Numbers, Strings, Booleans
- Type casting and dynamic typing
- type(), id(), input() functions
Module 3: Operators in Python
- Arithmetic, Assignment, Comparison
- Logical, Bitwise, Identity, Membership
- Operator precedence and examples
Module 4: Control Flow Statements
- if, if-else, elif
- Nested conditions
- for, while loops
- break, continue, pass
Module 5: Data Structures
- List – indexing, slicing, methods
- Tuple – immutable sequences
- Set – unique elements
- Dictionary – key-value pairs
- Looping through data structures
Module 6: Strings and String Functions
- String creation, concatenation, repetition
- Built-in methods: upper(), lower(), split(), join(), etc.
- String formatting: f-strings and .format()
- String slicing and operations
Module 7: Functions
- Defining and calling functions
- Parameters and return values
- *args and **kwargs
- Lambda (anonymous) functions
- Recursion and scope
Module 8: Modules and Packages
- Creating and importing modules
- math, random, datetime modules
- Working with packages and pip
Module 9: File Handling
- Opening and closing files
- Reading from and writing to text files
- Working with CSV files using csv module
- File operations using with block
Module 10: Object-Oriented Programming
- Introduction to OOP
- Classes and Objects
- __init__() constructor method
- Instance and class variables
- Inheritance and Method Overriding
- Encapsulation and Polymorphism
Module 11: Exception Handling
- Understanding Errors and Exceptions
- try, except, else, finally blocks
- Multiple exceptions
- Creating custom exceptions
Module 12: Python Libraries (Hands-on)
- NumPy (Array-based computing)
- Pandas (Data manipulation)
- Matplotlib (Data Visualization)
- Real-world examples using these libraries
Module 13: Mini Project in Python
- Real-time project (e.g., Student Record System, Expense Tracker, Simple Calculator, etc.)
- Applying all learned concepts
- Presentation and walkthrough
Module 1: Introduction to Databases
- What is a database?
- Types of databases
- DBMS vs RDBMS
- Introduction to MySQL (or SQL Server)
- Installing and connecting to a database
Module 2: SQL Basics
- What is SQL?
- Features and advantages of SQL
- SQL syntax and structure
- Case sensitivity and semicolons
Module 3: Data Definition Language (DDL)
- CREATE, DROP, ALTER commands
- Creating databases and tables
- Modifying table structure
- Dropping tables and databases
- TRUNCATE table
Module 4: Data Manipulation Language (DML)
- INSERT INTO
- UPDATE
- DELETE
- Inserting multiple rows
- Using NULL values
Module 5: Data Query Language (DQL)
- SELECT statement
- Using DISTINCT
- Filtering data with WHERE
- Sorting data using ORDER BY
- Limiting results using LIMIT or TOP
Module 6: SQL Clauses
- IN, BETWEEN, LIKE
- Pattern matching with % and _
- IS NULL and IS NOT NULL
Module 7: SQL Functions
- String functions: UPPER, LOWER, CONCAT, LENGTH
- Numeric functions: ROUND, CEIL, FLOOR, ABS
- Date functions: NOW(), CURDATE(), DATEDIFF()
- Conversion functions: CAST(), CONVERT()
Module 8: Aggregate Functions and Grouping
- COUNT(), SUM(), AVG(), MAX(), MIN()
- GROUP BY and HAVING clause
- Grouping with conditions
- Combining with ORDER BY
Module 9: Joins and Relationships
- Understanding primary and foreign keys
- INNER JOIN
- LEFT JOIN, RIGHT JOIN
- FULL JOIN (if supported)
- Joining more than two tables
Module 10: Subqueries and Nested Queries
- Subqueries in SELECT, FROM, and WHERE
- Scalar, Correlated, and Inline subqueries
- EXISTS and NOT EXISTS
Module 11: Constraints and Keys
- PRIMARY KEY, FOREIGN KEY
- UNIQUE, NOT NULL
- CHECK and DEFAULT constraints
- Adding/removing constraints
Module 12: Real-Time Mini Project
- Design a student database or employee management system
- Perform all CRUD operations
- Use JOINs, GROUP BY, and views
- Project walkthrough and practice
Python Interview Questions
- What are the key features of Python?
- What is the difference between a list and a tuple?
- How is memory managed in Python?
- What is a lambda function?
- What are *args and **kwargs?
- How does exception handling work in Python?
- What is the difference between is and ==?
- What are Python modules and packages?
- Explain object-oriented concepts in Python.
- How do you read/write files in Python?
SQL Interview Questions
- What is the difference between SQL and MySQL?
- What are the different types of SQL commands?
- Explain different types of JOINs in SQL.
- What is the difference between WHERE and HAVING clause?
- What are constraints? Explain each type.
- What is normalization?
- What is a subquery?
- What is the use of GROUP BY?
- What are indexes in SQL?
- What is the difference between DELETE and TRUNCATE?
Why Join Techidz for Python + SQL Language?
- Step-by-step and student-friendly teaching
- Strong focus on real-time programs
- Learn Logical Programming, Object-Oriented Programming clearly
- Affordable fee with great value
- Ideal for college students and beginners
- Doubt-solving sessions and full support
- Real-time database examples
- Covers theory + hands-on SQL queries
New & Special Features in Techidz Python Course
- 100+ Hands-on programs
- Concept-wise practice worksheets
- Mini project-based learning
- Weekly revision quizzes
- Real-time library usage (NumPy, Pandas, Matplotlib)
- Interview-focused preparation
- Telegram/WhatsApp support group
- Lifetime access to all recorded sessions and materials
