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

SciPy Training Certification Course

Scipy course teaches about scientific and technical computing. It helps in solving math and data problems easily. You can use it for science, data, and engineering work.
It is a Python-based course for fast calculations. You learn to work with numbers and formulas quickly. It saves time while doing complex math tasks.
This course includes topics like statistics and integration. You learn step-by-step how to use functions. It makes problem solving simple and fun.
Scipy helps in analyzing big data and experiments. You can easily handle real-world data with it. It’s great for students and researchers.
You will practice coding with Scipy tools. It builds your logic and technical thinking. You can create small projects and models.
The course also improves your Python programming. You understand how math and coding work together. It gives you strong computer skills.
After this course, you get good knowledge of Scipy. You can use it in data science and AI fields. It helps you grow in your learning journey.

Advantages of Learning SciPy

- SciPy helps you solve math and science problems easily. It saves time with ready-made functions. You don’t need to write long codes.
- It makes data analysis and calculations faster. You can handle large data with few lines of code. It’s great for students and professionals both.
- SciPy is easy to learn if you know basic Python. It helps you grow in data science and AI fields. Learning it improves your coding skills.
- You can do scientific research using SciPy tools. It supports statistics, algebra, and calculus. Perfect for experiments and lab work.
- It works well with other Python libraries like NumPy. This makes your work more powerful and smooth. You can create complex projects easily.
- SciPy helps in building smart technical solutions. It is used in industries like health, space, and IT. You can make real-world projects.
- After learning SciPy, you can get better job chances. It adds a strong skill to your resume. You can work as a data or research analyst.

SciPy Training Certification Course Outline

SciPy is a Python library used for solving math and science problems easily. It helps students and programmers do scientific calculations faster and smarter. This course teaches you how to use SciPy for data, graphs, and problem solving. To make you confident in using SciPy for real-world science and math projects.

Module 1: Introduction to SciPy

- Learn what SciPy is and why it’s used.
- Understand its connection with NumPy.
- Install and set up SciPy in Python.
- Explore basic scientific computing examples.

Module 2: Working with Arrays & Matrices

- Perform mathematical operations using arrays.
- Create and reshape matrices easily.
- Use NumPy and SciPy together for data work.
- Practice matrix addition, multiplication & inverse.

Module 3: SciPy for Statistics

- Learn mean, median, mode, and standard deviation.
- Perform probability and random sampling.
- Use statistical tests like t-test and chi-square.
- Understand how SciPy handles real data analysis.

Module 4: Optimization Techniques

- Learn how to find minimum and maximum values.
- Solve equations with optimize module.
- Apply optimization to real problems like cost or speed.
- Practice using simple functions to minimize errors.

Module 5: Integration & Differentiation

- Perform numerical integration using quad().
- Calculate derivatives using SciPy tools.
- Understand area under curves and slope of lines.
- Solve basic calculus problems programmatically.

Module 6: Signal & Image Processing

- Filter, smooth, and clean noisy signals.
- Use FFT for frequency analysis.
- Work with image data using SciPy functions.
- Try edge detection and basic image filtering.

Module 7: Linear Algebra with SciPy

Learn to solve linear equations quickly.
Use LU, QR, and SVD decompositions.
Understand eigenvalues and eigenvectors.
Apply linear algebra in data science tasks.

Module 8: Interpolation & Data Fitting

Learn how interpolation fills missing data.
Fit curves using real datasets.
Use interp1d() and curve_fit() functions.
Practice predicting new data points smoothly.

Module 9: Final Project & Certification

Complete a project using SciPy (data analysis or optimization).
Review all key modules and concepts.
Submit your work for final evaluation.
Earn a Professional SciPy Certification.

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:

Intermediate Python knowledge, basic understanding of scientific computing concepts.

Prerequisites for SciPy Course:

You should know basic Python programming. Learn simple loops and functions first. It helps to understand SciPy codes easily.
You must know how to install Python and libraries. Use tools like pip or conda. It makes setup quick and smooth.
Learn a bit about NumPy basics. Arrays and simple math functions are important. SciPy uses NumPy for most operations.
Have a small idea of Mathematics and Algebra. Simple equations and formulas will help. It makes problem solving easy.
Know how to use Jupyter Notebook or any IDE. You can write and run code easily there. It helps to test your SciPy examples.
You should understand basic data handling. Reading and saving files like CSV or text. It helps while working on data projects.
A little interest in Science and Computing is good. SciPy is used for real scientific problems. Curiosity will make learning fun and easy.
No prior experience in SciPy 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 SciPy 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 SciPy. We prepare students for facing Interview questions on SciPy and help them to build their online resume. Our more than 90% students are placed in good MNCs.

“Our Student Success is Our Mission”.