Skip to main content

#Mern Full Stack

  • ✅ Backend APIs using Express.js
  • ✅ Server Logic with Node.js
  • ✅ Data Storage in MongoDB
  • ✅ Full JavaScript Development
  • ✅ Routing & Middleware Integration
  • ✅ RESTful API Development
  • ✅ Frontend & Backend Connection
  • ✅ Real-Time Functionality with Socket.io
  • ✅ Deployment with Git & Cloud Platforms
Register NowReach Trainer

#MERN Full Stack Road Map

MERN Full Stack Road Map

Python Analyst
Course Contents:

Brochure DownloadRegister Now

Module 1 : Python Analytics

Chapter 1: Python Introduction

  • Python introduction
  • Python versions
  • Python job roles
  • Role of Python in data projects

Chapter 2: Python Architecture

  • Python architecture
  • PVM: Python Virtual Machine
  • Compiler and byte code
  • Execution process
  •  Python implementations

Chapter 3: Python Installations

  • Python installation
  • Anaconda installation
  • Python IDE and usage
  • Jupyter Notebooks

Chapter 4: Python Print Statement

  •  Python print statement
  • Using print()
  • Testing case sensitivity
  • Single-line and multi-line output
  • Working with single quotations
  • Debugging with AI assistants

Chapter 5: Python Variables

  • Python variables
  • Assigning values
  • Purpose and naming rules
  • Reading variable values
  • Multiple variables and print()

Chapter 6: Python Operators & String Literals

  • Arithmetic operators
  • Python string literals
  • Single and double quotes
  • Formatted strings (f-strings)
  • Comparison and indexing operators

Chapter 7: Python Data Types

  • Python data types
  •  Integer, float and string data types
  • Type casting
  • Type identification
  • Multiple-value assignments

Chapter 8: Python Lists

  • Creating Python lists
  • Printing list items
  • List slicing
  • Length and type
  • Empty lists and append
  • Loops and list updates

Chapter 9: Python Dictionaries

  • Python dictionaries
  • Indexing dictionaries
  • Editing key values
  • Lists inside dictionaries
  • Delete and clear operations

Chapter 10: Python Tuples

  • Defining and indexing tuples
  • len() and type()
  • Mixed values in tuples
  • Tuple reassignment / overwriting concepts

Chapter 11: IF…ELSE Conditions

  •  if / else conditions
  • if / elif / else and shorthand if
  • Composite conditions
  • Indentation and pass statement
  • in and negation operators
  • Range-based conditions

Chapter 12: Python Loops

  • for loops
  •  for loop with range
  • for loop with sequence values
  • while loop and exit conditions
  • Nested loops
  • Control statements
  •  break, continue and pass

Chapter 13: Python File Handling

  • File handling activities
  •  Open, read, write and close files
  • Appending and overwriting
  • Using os and path.exists
  • File read/write methods

Chapter 14: Python DataFrames

  • DataFrame creation
  • Pandas DataFrames
  • DataFrames from a single list
  • DataFrames from dictionaries
  • Displaying DataFrames and list items
  • Identifying and replacing nulls; NumPy usage

Chapter 15: Python SQL Database Access

  • SQL database access with Python
  • Pandas DataFrame integration
  • pyodbc module and SQL functions
  • SQL database cursor connections
  • SQL query execution: DDL and DML
  • Filters and aggregations with SQL
  • DataFrame usage with SQL

Chapter 16: DataFrame Transformations – I

  • DataFrame transformations
  • Concat and append concepts
  • Merge function
  • Joining multiple DataFrames
  • Data type checks and conversions
  • Loops with DataFrames

Chapter 17: DataFrame Transformations – II

  • Pandas data cleaning
  • Replace and transform columns
  • Data discovery and column fill
  • Identify and remove duplicates
  • dropna() and fillna() functions

Chapter 18: DataFrame Transformations – III

  • Python functions for date and time
  • now() function
  • Date and time functions
  • Calendar data generation

Chapter 19: Python Functions & Lambda

  • Python functions and usage
  • Function parameters
  • Default and list parameters
  • Python lambda functions
  • Recursive functions and usage
  • Return and output with lambda

Chapter 20: Python Classes, Objects & OOP

  • Class variables and instances
  • Built-in class attributes
  • Objects and constructors
  • self variable / modifiers
  • Python garbage collection
  • Hierarchical inheritance
  • Multilevel, multiple and hybrid inheritance
  • Overloading and overriding
  • Polymorphism and abstraction

Chapter 21: Regular Expressions

  • Regular expression patterns
  • Literals and repetition cases
  • Groups and grouping
  • Common expressions such as \w+, ^ and \s
  • re.split()
  • re.match()
  • re.search() and re.findall() for text

Module 2 : Real-time Project

Real-time Case Study: Banking / Finance Data Analysis
The curriculum concludes with a real-time case study that brings together the core Python analytics skills covered
throughout the course. Learners apply programming, file/data handling, dataframe operations, SQL connectivity and
transformation techniques in a practical data-analysis scenario.

Play VideoMERN Full Stack ThumbnailsPlay Video
SQL School Sample Certificate

SQL SCHOOL

24x7 LIVE Online Server (Lab) with Real-time Databases.
Course includes ONE Real-time Project.

MERN Full Stack Training FAQs

What is MERN Job Role?

A MERN Full Stack Developer builds complete web applications using the MERN stack — MongoDB, Express.js, React, and Node.js. They handle both the frontend (React) and backend (Node + Express), along with database operations (MongoDB).

Key Tasks:

  • Design and develop user interfaces (UI) using React

  • Build server-side APIs and business logic with Node.js and Express

  • Manage and query data with MongoDB

  • Ensure app performance, security, and scalability

  • Integrate frontend and backend seamlessly

What are the Job Roles of an MERN Full Stack?

💼 Top Job Roles:

Job Roles of a MERN Full Stack 

    • Frontend Development – Build dynamic UIs using React.js

    • Backend Development – Create APIs and server logic with Node.js & Express.js

    • Database Management – Design and manage data with MongoDB

    • Full-stack Integration – Connect frontend, backend, and database

    • App Deployment & Maintenance – Deploy, test, and maintain web apps and more..!

What does our MERN Full Stack Training course contains?

The course is carefully curated with below module:
👉🏻Module 1: Full Stack Basics
👉🏻Module 2: REACT.JS
👉🏻Module 3: MongoDB and Node.js

Who can join this course?

  • Freshers aiming for a career in web development

  • Students and graduates interested in full-stack programming

  • Developers wanting to upskill in React, Node.js, and MongoDB

  • IT professionals looking to become full-stack developers

  • Anyone with basic programming or web knowledge

No prior experience in full-stack is required — the course starts from basics.

What training modes are available?

Option 1:        LIVE Online Training  (100% Interactive, step by step, assignments)

Option 2:        Self Paced Videos (100% practical, step by step with concept wise assignments)

You may choose any one of these options, same curriculum!

I (Trainer) shall be available for doubts and clarifications, assignment check and review.

Why should I choose SQL School for MERN Full Stack training?

👉🏻 Every session is Practical, Step by Step with Concept wise FAQs !!

👉🏻 100% results with on-time practice.  Daily Tasks for every session.

👉🏻 Concept wise tasks be submitted before next class for Job Waiters / Starters.

👉🏻 Concept wise tasks due for submission by Weekends for Working Professionals.

Why Choose SQL School

Play VideoPlay Video
  • 100% Real-Time and Practical
  • ISO 9001:2008 Certified
  • Weekly Mock Interviews
  • 24/7 LIVE Server Access
  • Realtime Project FAQs
  • Course Completion Certificate
  • Placement Assistance
  • Job Support
Verified by MonsterInsights