

Full stack development course
With so many career options, it can be a daunting task to shortlist one course that can help you get onto the ladder of success. The tech industry can be brutal if you don’t make the right career choice. However, the most challenging and rewarding career choice that you can make is full stack development. With ongoing advancements, there is a high demand for skilled full stack developers by various companies. The demand for them is touching the skies and is not going to slow down anytime soon.
A full stack developer is responsible for the development of the front end as well as the back end, given website or app. Along with this, there is an involvement in designing, building, server-side logic maintenance, user interface coding, and much more. Also, a developer is required to have in-depth knowledge of various programming languages. There is also a requirement for a full-stack developer to have database experience, APIs, etc.
Overview of full stack development course
Joining a full stack development course in Ludhiana with Technotykes will allow you to ace this field. This course is designed in such a way that you can be proficient in the front-end as well as back-end development. With the involvement of leading and necessary projects, you will be able to gain experience, a complete knowledge about building dynamic as well as smooth working web applications without any hassle.
Essential highlights of full stack development course
- Live sessions
- Professional coach for the students
- Placement success managers
- Masterclasses by the leading experts of the industry
- Technotykes’ effortless revision methods
- Mentorship from knowledgeable seniors
- Mock interviews
The curriculum of full stack development course
At Technotykes, we provide a certified program that helps in equipping with top-notch expertise. Thus, the curriculum of the full-stack development course is followed as:
- The fundamentals of full stack development course
- Building your static website
- Building a responsive website
- Understanding databases
- Programming foundations with Python
- Java full-stack specialization
- Developer fundamentals
- Java full stack
- Dynamic web applications
- Programming with the help of Python
- Intermediate JavaScript
- Intermediate web design
- Scope and hoisting in JavaScript
- Building a web app
Essential skills to be learned in full stack development course
At Technotykytes, we ensure that you are learning and understanding every skill which can make you a professional full stack developer. Some essential skills involved in this course are:
- HTML
- CSS
- Python
- SQL
- React JS
- Git
- Core J
- JavaScript
- Spring Boot
The tools covered in full stack development course
Essential tools are involved while studying the full stack development course. These tools will be at your fingertips at the end of the course:
- AWS
- Docker
- Command Line
Job opportunities waiting for you after the completion of full stack development course
The completion of a full stack development course with Technotykes means having access to top-notch placement assistance. Countless companies have hired our learners for different roles with high salary packages.
- Full stack web developer
- Java Developer
- Front end developer
- Back end developer
- Python developer
Certifications after full stack development course completion
Getting a certificate from Technotykes proves that you are ready for the industry after completing all the tests and projects.
- Industry-ready certification
- Shareable, credible, and official certification
The duration of the full stack development course
The duration of the full stack development course depends on the level of the program and its instruction. If the courses involve in-depth instruction and industry-related projects, then the duration of the course can be longer. However, the full stack development course at Technotykes is beginner-friendly. It can be joined with no coding knowledge while understanding every concept and project with ease.
Kw – full stack development course in ludhiana
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Career Options
Data Analyst
Business Intelligence (BI) Analyst
Data Visualization Specialist
Data Engineer (Entry-Level)
Reporting Analyst
Data Consultant
Analytics Associate
Module 1 – Python Programming Core – 48 Hrs
- Introduction to Python: Python’s role in data analysis
- Data Types and Variables: Integers, floats, strings, and booleans
- Operators and Expressions: Arithmetic, logical, comparison, and assignment
- Control Flow: If-else statements, for and while loops
- Data Structures: Strings, tuples, dictionaries
- File Handling Basics: Reading and writing text files
- Functions and Modules: Writing reusable code and using built-in modules
- Error Handling: Managing errors with try-except blocks
Module 2 – Python Advanced: Key Libraries – 24 Hrs
- NumPy: Array creation, mathematical operations, indexing, reshaping
- Pandas: DataFrames, Series, importing/exporting, data cleaning
- Matplotlib: Bar charts, scatter plots, histograms, line graphs etc.
- Working with CSV and TXT Files: Reading, writing, and modifying structured data
Module 3 – SQL (Structured Query Language) – 24 Hrs
- Database Basics: Relational database concepts
- SQL Queries: SELECT, WHERE, ORDER BY, GROUP BY
- Joins and Relationships: INNER JOIN, LEFT JOIN, RIGHT JOIN
- Data Manipulation: INSERT, UPDATE, DELETE
- Constraints: Primary Key, Foreign Key, Unique, Check
- Subqueries and Set Operations
- Window (Analytic) Functions
Module 4 – Basic & Advanced Excel – 18 Hrs
- Basic Excel
- Formulas and Functions: SUM, AVERAGE, IF, VLOOKUP, HLOOKUP
- Data Formatting: Conditional formatting, tables, sorting
- Basic Charts: Bar, line, and pie charts
- Advanced Excel
- Pivot Tables: Creating and customizing pivot tables
- Data Analysis ToolPak: Regression, correlation, statistical analysis
- Macros and VBA: Automating tasks with simple scripts
Module 5 – Power BI – 10 Hrs
- Introduction to Power BI: Dashboards and reports overview
- Connecting Data Sources: Excel, SQL, APIs
- Data Transformation: Using Power Query
- Building Visualizations: Bar charts, pie charts, maps
- DAX (Data Analysis Expressions): Calculated columns, measures
- Interactive Dashboards: Creating dynamic, user-driven reports
- Publishing and Sharing: Making your reports accessible
Module – Introduction to ML & Web Scraping (4 Hrs)
- Overview of Machine Learning & its applications (Supervised, Unsupervised, Reinforcement)
- Key Python ML libraries (scikit-learn, etc.)
- Basics of Web Scraping & Python tools (Requests, BeautifulSoup, Selenium)
- Data collection, cleaning, and exploration
- Types of Machine Learning Model
Capstone Project – 20 Hrs
Showcase Your Skills
- Database Connectivity: Build applications that connect to databases, execute queries, and retrieve data seamlessly.
- Data Analysis & Insights: Work with large datasets to uncover user behavior, sales trends, and product performance.
- Business Operations Management: Manage inventory, track sales, and forecast demand to support better decision-making.
- Institutional Management System: Design database schemas, implement queries, and generate reports for administrative tasks.
- Interactive Dashboards: Present analysis results through dynamic dashboards using Excel and Power BI.
- End-to-End Workflow: Demonstrate data collection, cleaning, analysis, visualization, and reporting within a single integrated project.