Course Rundown
The Python and Machine Learning course offered by TechnoTykes is designed to enhance the understanding and the concept clarity of our students. It is vital for anyone’s thorough understanding that one learns the fundamentals of Python first before progressing onto the Machine Learning aspect. With TechnoTykes, you can formulate a better understanding and a rigorous understanding of both the concepts.
With the help of our highly trained professionals, we leave no doubt or questions unturned. The curriculum is structured in a manner that nurtures the learner’s inquisitiveness – at TechnoTykes, we believe in asking and answering curious questions.
With our hand-on projects based approach, the students enrolled in advanced Python courses in Punjab, are able to grasp the concepts taught in the class and apply it to reality-based challenges. Project-based teaching methodology makes sure that our learners understand the viable options and opportunities where they can use Python and Machine Learning to their benefit.
Python Fundamentals
You are guaranteed to have a better understanding of all the following Python concepts:
- Variables and Data Types
- Control Structures
- Functions
- Object-Oriented Programming (OOP)
Essentials Library
While delving into the essentials of Python, our learners can expect a comprehensive understanding of the following concepts. All of them help in data manipulation:
- NumPy
- Pandas
- Matplotlib
Machine Learning Fundamentals
The leap into machine learning will be made once the learner is equipped with an understanding of Python. Once we move onto the Machine Learning fundamentals, our learners can expect to explore the following concepts of ML:
- Regression
- Classification
- Clustering
- Model Evaluation
Why TechnoTykes?
How to Enrol?
You can enrol in the Python and Machine Learning course by following the steps:
Step #1: Visit Our Website: Open our website on your internet browser and locate the ‘Book your Classes’ button.
Step #2: FIll your Enrollment Form: Fill out your details and select the “Python & Machine Learning” option under the Courses drop-down menu.
Step #3: Start Learning Today: Once you have filled out the form, you will gain access to the course material, and you can begin your learning journey today.
Your journey of finding advanced Python courses for kids in Punjab ends today with TechnoTykes. Enrol your child and cultivate your child’s interest in Python with us!
Contact Us
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.
