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Programming
5★ · 122 Google reviews

Python & Mathematics for Data Science in Bangalore

Build the programming and mathematical foundation for ML and AI careers

About This Course

This dual course covers Python programming from scratch alongside the essential mathematics needed for data science and machine learning. You will learn Python syntax, data structures, OOP, file handling, and libraries like NumPy. On the math side, you will cover linear algebra, calculus basics, probability, statistics, and their direct applications in data science algorithms.

Course Highlights

Python from scratch: variables, loops, functions, OOP, file handling
NumPy for numerical computing and matrix operations
Linear algebra: vectors, matrices, eigenvalues, transformations
Statistics: descriptive stats, distributions, hypothesis testing
Probability: Bayes theorem, conditional probability, distributions
Direct connections between math concepts and ML algorithms

Syllabus & Modules

Variables, data types, operators, strings, input/output, control flow (if/elif/else), loops (for/while), and comprehensions.
Lists, tuples, sets, dictionaries, functions, lambda, map/filter/reduce, error handling, and modular programming.
Classes, objects, inheritance, polymorphism, encapsulation, file I/O (text, CSV, JSON), and working with APIs.
Array creation, indexing, slicing, broadcasting, vectorization, linear algebra operations, and random number generation.
Vectors, matrices, matrix operations, eigenvalues/eigenvectors, SVD, PCA foundations, and geometric interpretations.
Descriptive statistics, probability distributions (normal, binomial, Poisson), hypothesis testing, confidence intervals, correlation, and regression basics.

Why Learn Python & Mathematics for Data Science?

Mastering Python & Mathematics for Data Science is one of the most in-demand skills in today's data-driven job market. Companies across all industries are looking for professionals who can work with data effectively. This course prepares you with practical, job-ready skills backed by real-world projects and industry mentorship. With our 100% placement assistance, you'll be well-positioned to land roles that leverage these skills.

Who Should Join?

Fresh graduates looking to start a data career
Working professionals wanting to upskill
Career changers from non-tech backgrounds
Entrepreneurs and business owners
Anyone passionate about learning data skills

Course Details

Duration 10 Weeks
Level Beginner to Intermediate
Mode Online / Offline
Projects 8+ Projects
Rating 5★ (122 reviews)
Certificate Yes
Placement 100% Assistance

What You Get:

Live instructor-led training
Hands-on projects & assignments
Industry-recognized certificate
Lifetime access to materials
Resume & interview preparation
Dedicated mentor support
Placement assistance
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EMI options available

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Ready to Master Python & Mathematics for Data Science?

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FAQs

Questions About Python & Mathematics for Data Science

No prior experience is required! This course starts from the basics and gradually builds up to advanced topics. We welcome complete beginners, career changers, and professionals from any background.
The course runs for 10 Weeks with both weekday and weekend batch options. Classes are conducted online / offline, so you can choose what fits your schedule best. Each session is approximately 1.5 to 2 hours.
Yes! Upon successful completion of the course and projects, you will receive an industry-recognized certificate from Leaders Data Science Learning Center. This certificate is valued by employers and can be added to your resume and LinkedIn.
Absolutely! We provide 100% placement assistance including resume building, mock interviews, portfolio review, LinkedIn optimization, and connections with 50+ hiring partners. Our average placement time is 30 days after course completion.
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