Course Name	Duration	Classes	Total Fee	Mode of Training	Class Timing
Numpy Course	3 Months	60	60,000 PKR	Online & Face-to-Face	To be decided mutually with students

Numpy Training Certification Course

NumPy course teaches about numbers and data. It helps to work easily with arrays. You learn to handle big data fast.
It is a Python library for calculations. You can do math with few simple codes. It saves time and reduces mistakes.
You learn how to create and use arrays. Arrays store many values in one place. They are easy to change and use again.
Course explains data types and shapes. You understand how data is arranged. It makes coding clean and simple.
It also teaches basic math operations. Like adding, subtracting, or dividing arrays. Everything is done quickly with NumPy.
You learn to use functions and modules. These help to solve problems faster. It makes your code powerful and smart.
After completion, you get a certificate. It shows your Python and data skills. It helps in jobs and higher learning.

Advantages of Learning Numpy

NumPy course helps you understand how to work with numbers easily. It teaches how to handle large data in simple ways. You learn faster and make fewer mistakes in math coding.
It builds a strong base for data science and AI learning. You get confidence to use Python for real projects. It opens the door to advanced data work.
You learn to perform calculations quickly using arrays. It saves your time in solving long mathematical problems. You can do more with less code.
The course improves your problem-solving skills. You start thinking like a data expert. It makes you ready for coding challenges.
NumPy is used in many industries today. Learning it increases your job opportunities. You can work in tech, research, or data fields.
It helps you understand other Python libraries better. Like pandas, matplotlib, and sci-kit learn. You will find them easy after learning NumPy.
The certificate adds great value to your resume. It shows your practical coding knowledge. Employers trust your technical skills more.

Numpy Training Certification Course Outline

NumPy is a Python library used to work with numbers and data easily. It helps in doing fast math calculations and handling large data. In this course, you will learn how to use NumPy for arrays and data analysis. This course is perfect for beginners who want to learn data science basics.

Module 1: Introduction to NumPy

What is NumPy and why we use it.
Helps in handling large data easily.
Works with arrays instead of lists.
Very fast and simple for math work.

Module 2: Installing and Importing NumPy

Learn how to install NumPy using pip.
Import NumPy with code import numpy as np.
Check version and setup in IDE.
Ready to start writing NumPy programs.

Module 3: NumPy Arrays Basics

Create arrays using np.array().
Know the difference between 1D and 2D arrays.
Access elements using indexes.
Print and check array type easily.

Module 4: Array Operations

Perform add, subtract, multiply on arrays.
Use operators like +, -, *, /.
Apply functions directly on arrays.
Practice simple math tasks with arrays.

Module 5: Array Indexing & Slicing

Learn how to pick parts of arrays.
Use slicing [:] to get small sections.
Modify array parts easily.
Try with 1D and 2D arrays.

Module 6: Array Shape and Reshape

Check array shape using .shape.
Change shape using .reshape().
Learn rows, columns, and dimensions.
Practice reshaping arrays for projects.

Module 7: Mathematical Functions

Use built-in math tools like np.sum, np.mean.
Work with min, max, sqrt, and power.
Handle array calculations fast.
Apply functions on 2D arrays too.

Module 8: Random Numbers in NumPy

Use np.random for random data.
Create random integers and floats.
Generate random arrays for testing.
Learn seed value for same results.

Module 9: Broadcasting in NumPy

Understand what broadcasting means.
Use different-shaped arrays together.
Perform fast operations without loops.
Practice small real-life array problems.

Module 10: Handling Missing Data

Learn about NaN and how to find it.
Replace missing values with mean or zero.
Use np.isnan() and np.nanmean().
Keep data clean and usable.

Module 11: Advanced Array Operations

Use stacking and splitting arrays.
Work with matrix multiplication.
Try linear algebra tools in NumPy.
Solve mini real-world problems.

Module 9: Final Certification Project

Create a small project using NumPy.
Use arrays, math, and random tools together.
Write clear code and explain steps.
Get your official NumPy Certificate.

Experience and Inspiring Trainers:

Our trainers bring their years of industry experience during the course. They are expert and passionate about delivering inspiring training as they know training inside out. They will advise you on all the options to make sure you get the best possible result.

Real-time Practice and Projects:

Weekly hands-on exercises
Mid-term and final projects
Code reviews and in-class presentations

Prerequisites for Numpy Course:

You should know how to use a computer. Simple skills like saving files and using folders help. Typing and using software easily is a plus.
You must know basic Python coding. Like variables, loops, and simple programs. It helps you write and understand NumPy code.
Basic math skills are needed. You should know addition, subtraction, and averages. It helps to understand arrays and data.
You should think in a step-by-step way. This helps in solving coding problems easily. It makes your code more clear and correct.
You should enjoy working with numbers. It helps to learn faster and stay interested. Data lovers find NumPy fun and easy.
Know about integers, floats, and strings. They are used often in NumPy arrays. It helps to avoid simple mistakes.
You must be ready to learn new things. Practice daily to understand better. Consistency makes you confident in NumPy.
No prior experience in Numpy is required, but having these basics will help in grasping concepts faster.

Certificate:

Finally completing this training you will receive a course completion certificate along with internship in Numpy Training so you can get recognition for your new skills.

Course Material:

Softy Copy notes are briefly included in this course

Support and Careers Advice:

In the end our trainers are always ready to help you for any problems or question regarding Numpy. We prepare students for facing Interview questions on Numpy and help them to build their online resume. Our more than 90% students are placed in good MNCs.

“Our Student Success is Our Mission”.