Udemybeginneren

Python Programming for Beginners in Data Science

Learn Python for data science! This beginner-friendly Python 3 course provides essential skills to get started with data analysis. Online training.

4.3(3,265)
122,432students
14h 7m
Certificate
Ajay Tech
Ajay TechIT Courses Data Science, Machine Learning, React, Full Stack

Course Content

Python Programming for Beginners in Data Science is a beginner-level Udemy course taught by Ajay Tech. It runs 14h 7m, is taught in English, and includes a certificate of completion. Learners rate it 4.3 out of 5 from 3,265 reviews, with 122,432 students enrolled. It is a paid course, last updated August 2020.

Master Python for Data Science & Machine Learning

Ready to dive into the world of Data Science, Machine Learning, and AI? You've come to the right place! While these fields are booming, many aspiring data scientists find themselves needing a solid programming foundation. You might be new to coding, or perhaps familiar with Java but seeking to leverage Python, the industry-leading language for Data Science.

This comprehensive Python programming course is specifically designed for individuals like you – those without a strong programming background or those needing to bridge the gap between their existing skills and the demands of Machine Learning. We'll guide you from the very basics, equipping you with the essential Python skills needed to confidently apply Machine Learning algorithms.

What You'll Learn:

  • Python Fundamentals:
    • Variables, Type Conversions: Understand how to store and manipulate data.
    • Flow Control: Master conditional statements and decision-making.
    • Operators & Expressions: Learn to perform calculations and comparisons.
    • Loops: Become proficient with for and while loops, including nested loops and for else loops for enhanced control.
    • Strings: Work with text data, including built-in and user-defined functions.
    • Data Structures: Utilize Lists, Dictionaries, Tuples, and Sets for efficient data organization.
    • Object-Oriented Python: Explore the principles of object-oriented programming.
    • I/O: Learn to read from and write to files.
    • Exceptions: Handle errors gracefully.
    • Standard Library: Leverage powerful modules for date/time manipulation, file I/O, math, statistics, and random number generation.

Important Note: This course focuses exclusively on the Python programming skills required for Data Science and Machine Learning. It does not cover the algorithms themselves. Python is a versatile language used for web development, automation, and DevOps, but this course is tailored for those wanting to apply Python to Machine Learning and Data Science problems.

Who is this course for?

  • Beginners with no prior programming experience.
  • Individuals with experience in other languages (like Java) who want to learn Python for Data Science.
  • Anyone looking to build a strong Python foundation for applying Machine Learning algorithms.

Free Preview Available!

We're confident you'll love this course. A significant portion of the content is available for free preview, allowing you to assess the teaching style and curriculum. Plus, Udemy's 30-day money-back guarantee ensures a risk-free learning experience.

$ whoami — the devs behind tutorialsearch.io

Need a web app built? Hire the team behind TutorialSearch.io

We ship fast, production-grade full-stack apps (Next.js, React, edge infra) — the same stack that powers this site.

5.0(338)
3h 1m
beginner
skillshare
skillshare
5.0(673)
8h 32m
all
skillshare
5.0(1,333)
2h 34m
beginner
skillshare