Python for Data Science

Level up in Data Science using Python, master Numpy, Pandas, Data Visualisation, Web Scraping, Automation, SQL and more.
4.49 (871 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Python for Data Science
5 996
students
22.5 hours
content
Oct 2024
last update
$29.99
regular price

Why take this course?

🚀 Level Up in Data Science using Python with Mohit Uniyal! 🌟


Course Overview:

Are you ready to take the next leap in your journey to become a Data Scientist⭐? Whether you're an absolute beginner looking to dive into programming or a proficient programmer aspiring to specialize in Data Science, this hands-on course is tailored just for you!


Why Choose This Course?

  • 🔍 Data Science Careers: With the rise of data-driven decision making, becoming a Data Scientist can be one of the most rewarding and lucrative careers. Tech giants are investing heavily in data scientists, and with the right skills, you could be part of this high-demand field.
  • 👩‍💻 For Everyone: This comprehensive course is designed for beginners with some programming experience or experienced developers looking to transition into Data Science. No matter where you are in your programming journey, this course will guide you towards mastery.
  • 🧭 Taught by an Expert: With over 3 years of experience teaching thousands of students in India, Mohit Uniyal is a renowned Data Science Bootcamp instructor who is now sharing his knowledge with the world.
  • 💰 Value for Money: This action-oriented course is a steal at a fraction of its original cost. It typically worth thousands of dollars but Coding Minutes brings it to you at an affordable price.
  • 📚 Practical Learning: With 150+ High Quality video lectures, easy explanations, and a complete code repository, you'll learn by doing with practical projects.

Course Curriculum:

This course is structured to take you from the basics of Python to advanced data science topics, including but not limited to:

  • Python Programming: Learn the fundamentals and how to write clean, efficient code.
  • Numeric Computation with NumPy: Handle large, multi-dimensional arrays and matrices to perform fast calculations.
  • Data Analysis with Pandas: Master data manipulation, cleaning, transformation, and visualization using Python's most powerful tool for data analysis.
  • Data Visualisation with Matplotlib & Seaborn: Learn how to create a variety of static, animated, and interactive visualizations for data exploration and storytelling.
  • Fetching Data from Web APIs: Understand how to interact with APIs and get the data you need for your analysis.
  • Data Acquisition: Learn methods to collect data from various sources.
  • Web Scraping with Beautiful Soup & Scrapy: Extract meaningful data from websites and HTML documents efficiently.
  • Automating Boring Stuff with Selenium: Free up your time by automating repetitive tasks in a web browser.
  • SQL for Data Science: Learn the fundamentals of SQL, the language of databases, to perform queries and operations on large datasets.
  • Introduction to Machine Learning: Get an overview of machine learning algorithms and their applications in data science.

What You Will Achieve:

By completing this course, you will not only understand the concepts but also be able to build 5 comprehensive projects that showcase your skills in data analysis, visualization, web scraping, automation, and more!


Ready to embark on this exciting journey? 🚀💻 Sign up for the course and join a community of aspiring Data Scientists. Let's unlock the potential of data together!

See you in class and let's make data work for you! 🎉

Course Gallery

Python for Data Science – Screenshot 1
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Comidoc Review

Our Verdict

This 22.5-hour course serves as a one-stop solution for learning Python fundamentals, data analysis, visualization, web scraping, automation, and SQL from the ground up. While certain software versions are outdated causing discrepancies, the majority of modules cover key concepts thoroughly with challenging labs that build on top of each other. However, be prepared to encounter repetitive, typo-ridden quiz questions and a limited number of labs in some areas. With that said, this course is still an excellent starting point for those new to programming or data science.

What We Liked

  • Comprehensive coverage of Python for Data Science
  • Logical sequence of topics with challenging labs
  • In-depth exploration of various data science tools like Numpy, Pandas, SQL
  • Excellent explanation of complex concepts
  • Highly recommended for beginners in programming and data science

Potential Drawbacks

  • Outdated software versions causing inconsistencies
  • Limited labs on certain modules
  • Quiz questions with occasional repetition, typos, and errors
3557793
udemy ID
09/10/2020
course created date
10/06/2021
course indexed date
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course submited by