What technologies will I learn in the Data Science bootcamps?

You will learn Python, R, SQL, Power BI, Tableau, Excel, Pandas, Numpy, Matplotlib, Seaborn, and PySpark.

Can I start with no prior experience in Data Science?

Yes, our programs are designed for both beginners and those looking to deepen their knowledge. We offer fundamental courses as well as advanced bootcamps.

How is the curriculum for the Data Science bootcamp structured?

The curriculum includes hands-on projects, case studies focused on the banking and finance industry, and courses on core data analysis tools and techniques.

What type of job support do you provide after completing the course?

We offer comprehensive placement assistance, including resume building, mock interviews, and leveraging our network of industry partners.

Skill level

Beginner

Duration

2 Hours

Prior Knowledge

None

Certificates

Included With Paid Plan

Get Started for free

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Python for Beginners: Start Your Coding Journey

Learn how to program in python from scratch. Master the basics and build your own project with hands-on exercises.

AI Assisted Guidance
20 exercises
No Coding Experience Required

Skill level

Beginner

Duration

2 Hours

Prior Knowledge

None

Certificates

Included With Paid Plan

Share Course

About This Course

This course is designed for complete beginners. You don't need any previous experience with Python or coding. We'll cover everything from setup to basic syntax, control flow, and error-handling, all taught through step-by-step examples. You will be able to start building your own projects and applications.This is also an excellent starting point for a career in data science and analytics.

Learn at your pace

Step-by-step guidance

Hands-on exercises

What You’ll Be Able to Do After This Course

Completing Supervised Machine Learning: Regression and Classification will give you the knowledge and tools to build and apply machine learning models with confidence. Here’s what you’ll be able to do:

Manipulate Data Efficiently

Use NumPy and Pandas to clean, organize, and transform datasets.

Work with Multidimensional Arrays

Create, reshape, and optimize arrays for faster processing.

Perform Advanced Data Operations

Apply indexing, slicing, and transformations for better insights.

Use Linear Algebra for Data Science

Solve matrix operations and perform complex calculations.

Apply Python Libraries in Real-World Scenarios

Work with large datasets for data analysis, machine learning, and predictive modeling.

Syllabus

14 lessons | 2 Hours

Python Data Types: A Complete Beginner’s Guide

Start Lesson

Data types are an essential concept in Python, as in any programming language.

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Python Data Structures: Organize Your Data

Start Lesson

Data structures are essential for organizing and storing data efficiently.

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Control Flow Statements in Python Explained

Start Lesson

Control structures are fundamental constructs that enable a programmer to dictate the flow of control through a program

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Types of Functions in Python: A Beginner’s Guide

Start Lesson

Functions allow you to encapsulate a task; they take input, process that input, and then produce and return output.

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Object-Oriented Programming in Python Made Simple

Start Lesson

Object-Oriented Programming (OOP) It is a programming paradigm that uses "objects" to model data and methods that can manipulate that data.

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Exception Handling in Python

Start Lesson

Exception handling is the process of anticipating, detecting, and gracefully responding to exceptions that occur during program execution.

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File Handling in Python: Read, Write, and Manage Files

Start Lesson

File handling is a fundamental aspect of any programming language, allowing you to store, retrieve, and manipulate data stored in files.

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Regular Expression in Python: Master Regex Basics

Start Lesson

Regular Expressions (Regex) are a powerful tool used in programming for searching, manipulating, and editing text based on specific patterns.

View Lesson

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An Intelligent Learning Platform That Feels Like A Personal Mentor

Completing Python Libraries for Data Science will give you practical skills to work with Python for data manipulation and analysis. Here’s what you’ll be able to do:

Explore Platform

Learn by Doing with Interactive Lessons

Watch real-time screencasts and code along in an interactive environment.

AI-Powered Feedback to Sharpen Your Skills

Get instant feedback on your code, understand mistakes, and improve faster.

Hands-On Practice in Skill Lab

Apply what you learn through exercises in our integrated coding environment.

Track Your Growth with Built-in Analytics

Monitor progress, identify strengths, and stay on top of your learning journey.

Assess Your Skills & Get Scores

Take assessments, measure your performance, and see where you stand.

Unlock Career Opportunities with Job Board Access

Connect with job listings and take the next step toward your data analytics career.

Certified Proof of Your Learning & Growth

Get Certified Recognized

Boost professional reputation and distinguish yourself with colleagues and industry leaders

Build Your Portfolio

Collect certificates as you progress and showcase your achievements.

Share Your Achievements Easily

Download, print, or add your certificates to LinkedIn to stand out in your industry.

Get to Know Your Course Creator

Bheeshma Tanna is a data science and AI expert with extensive experience in building intelligent systems and real-world data solutions. He has designed multiple SkillCamper courses to make machine learning, AI, and data science clear, practical, and application-focused. With a strong background in AI-driven product development, he ensures learners don’t just understand concepts but gain the skills to apply them confidently in their careers.

Bheeshma Tanna

Chief AI Product Officer at SkillCamper

Learner Reviews

Our courses and community have helped learners just like you kickstart & progress rapidly in their careers.

Sanjay Shah

Civil Engineer

“The projects and the friendly community make learning fun and helpful. “

Ashish Lodhe

Application Support Engineer (Now Analyst at Accenture)

“This platform doesn’t just teach tools—it focuses on real-world application and domain knowledge, which makes a huge difference.”

Suman M

Maxlife Insurance (Axis Bank Branch Banking)

“Everything is explained in a way that makes sense, even for beginners. The lessons are clear, and I never felt lost at any point.”

Ravi Prakash

Automation Test Analyst

“The way topics are broken down makes them so much easier to understand.”

Ayush Sharma

Relationship Manager at City Union Bank

“Every time I had questions, they were addressed, and the sessions have been really good.”

Frequently Asked Questions

Is the Python for Beginners course free?

Yes, the course is completely free. You’ll have access to all lessons, videos, and exercises without any cost. If you'd like to receive a certificate and access premium features, you can upgrade to the paid plan.

Do I need any prior experience to enrol in this course?

No prior coding experience is required. This course is designed for beginners, so even if you’ve never written a line of code before, you’ll be guided through every step.

How long is the course, and can I learn at my own pace?

The course takes approximately 20 hours to complete, but it’s fully self-paced. You can progress through the material whenever it fits into your schedule, making it ideal for learners with busy lives.

What will I learn in the Python for Beginners course?What will I learn in the Python for Beginners course?

You’ll start with the basics of Python programming, learning how to write code, manipulate data, and build small applications. Key topics include control flow, functions, error handling, file operations, and an introduction to object-oriented programming. By the end, you’ll be confident in solving problems using Python.

Why is learning Python important?

Python is one of the most in-demand programming languages worldwide. It’s easy to learn and highly versatile, used in web development, data analysis, artificial intelligence, and more. Learning Python is a valuable skill that can open doors to a wide range of career opportunities.

What is the cost of the paid plan for certification, and what does it offer?

The paid plan costs ₹15,000 and includes a shareable certificate, graded assignments, and AI-powered learning tools that provide personalised feedback to help you track your progress and improve your skills.

Will I receive a certificate upon completion of the course?

Yes, if you opt for the paid plan, you will receive a recognized certificate upon completing the course. This certificate can enhance your resume and help showcase your Python skills to potential employers.

What kind of hands-on exercises and projects are included?

The course includes 10 practical exercises that reinforce what you’ve learned. You’ll apply your new skills by solving problems, manipulating data, and building real-world Python applications, ensuring that you gain practical coding experience.

How does the free plan differ from the paid plan?

The free plan gives you full access to the course content, including lessons and exercises. The paid plan provides additional benefits like graded assignments, personalised feedback through AI-powered tools, and a certificate upon completion.

Can I access the course on mobile devices?

Yes, all course materials, videos, and exercises are mobile-friendly, allowing you to learn and practice Python on the go, whenever and wherever it’s convenient for you.