Python: Beginner to Advanced For Data Professionals

We've upgraded this course content on 19-09-2024. Your course progress percentage might be impacted if you had enrolled before 19-09-2024

This project-based learning course will teach Python through hands-on experience with two real-world projects: (1) Data analysis in the hospitality domain and (2) Building an expense tracking system. It is designed for both complete beginners with no prior coding experience and those with some Python knowledge looking to enhance their skills. The course is taught by an industry expert with over 14 years of experience at leading tech companies such as Nvidia and Bloomberg.

4.9 (372 Verified ratings)
7297 Enrolled Learners
Last Updated: Dec 2, 2024 1:04 AM
English
Instructor
Created by:
Dhaval Patel
Course Preview
₹1,200
This course includes:
  • 16h:57m:31s on-demand videos
  • 108 Lectures
  • 9 Exercises
  • 12 Quizzes
  • Access on any Device
  • Certificate of completion

What you'll learn

Master Python fundamentals and advanced concepts
Work with NumPy, Pandas, and Matplotlib libraries
Perform data cleaning and preprocessing
Create stunning data visualizations
Build machine learning models with Scikit-learn
Complete 5 real-world data science projects

Requirements

  • No prior programming experience required
  • Computer with Windows, Mac, or Linux
  • Willingness to learn and practice coding

Description

Python is one of the most popular programming languages in the world, especially in the field of data science and analytics. This comprehensive course is designed to take you from a complete beginner to an advanced Python programmer with a focus on data science applications.

Throughout this course, you'll work on two major real-world projects that will give you hands-on experience with Python programming and data analysis. The first project involves analyzing data in the hospitality domain, where you'll learn to work with real datasets and extract meaningful insights. The second project focuses on building an expense tracking system, teaching you how to create practical applications using Python.

What makes this course unique is its project-based approach. Instead of just learning syntax and concepts in isolation, you'll immediately apply what you learn to solve real problems. This approach ensures that you not only understand the theory but can also implement solutions in practice.

Key Features:
  • Comprehensive coverage from basics to advanced topics
  • Two complete real-world projects
  • Hands-on coding exercises and quizzes
  • Industry best practices and coding standards
  • Lifetime access to course materials
  • Certificate of completion

Course Content

8 sections • 108 lectures • 16h 57m total length

  • Introduction to Python
    15:30
  • Variables and Data Types
    22:45
  • Control Structures
    35:20
  • Practice Exercise 1
    Exercise
  • Python Basics Quiz
    Quiz

  • Introduction to NumPy
    25:10
  • Array Operations
    45:30

Learn to work with structured data using Pandas library for data analysis and manipulation.

Create beautiful and informative visualizations using Matplotlib and Seaborn.

Complete end-to-end data analysis project in the hospitality domain.

Instructor

Instructor

Dhaval Patel

Senior Data Scientist | Ex-Nvidia, Bloomberg

Dhaval has over 14 years of experience in software engineering and data science. He has worked at leading tech companies including Nvidia and Bloomberg, where he developed large-scale data processing systems and machine learning models. He is passionate about teaching and has helped thousands of students transition into data science careers.

Experience 14+ Years
Students Taught 10,000+
Course Rating
4.9
Courses 5 Courses

Student Reviews

4.9

372 reviews

5 star
85%
4 star
12%
3 star
2%
2 star
1%
1 star
0%
Reviewer
John Smith
2 weeks ago

Excellent course! Dhaval explains complex concepts in a very clear way. The hands-on projects really helped me understand the practical applications of Python in data science.

Reviewer
Emily Davis
1 month ago

Perfect for beginners! I had no programming experience and now I feel confident working with data in Python. The project-based approach is fantastic.

Reviewer
Michael Chen
3 weeks ago

The real-world projects make all the difference. I've already started applying what I learned in my current job. Highly recommended!

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Course Features
  • Duration 16h 57m
  • Level Beginner
  • Language English
  • Certificate Yes
  • Enrolled 7,297