Introduction to Data Science using Python (Module 1/3)

Learn Data science / Machine Learning using Python (Scikit Learn)
4.49 (7405 reviews)
Udemy
platform
English
language
Data Science
category
Introduction to Data Science using Python (Module 1/3)
165 025
students
2.5 hours
content
Mar 2018
last update
FREE
regular price

Why take this course?


🌟 Course Title: Introduction to Data Science using Python (Module 1/3)

🚀 Headline: Learn Data Science & Machine Learning using Python (Scikit Learn) - A Comprehensive Journey for Absolute Beginners! 🚀


Course Description:

Are you completely new to the world of Data Science? Have you been swimming in a sea of buzzwords like Machine learning, Data Science, Data Scientist, Text analytics, and Statistics without fully grasping their meaning? 🤔

If your answer is a resounding "Yes!" then you've come to the right place! Whether you're looking to kickstart a new career in Data Science and Analytics or simply wish to understand what all the fuss is about, this course is designed to guide you through the foundational concepts of Data Science using Python and the powerful Scikit-Learn library.


Why Choose This Course? 🎓

  • Beginner-Friendly: No prior knowledge in Data Science or programming is assumed. You'll start from scratch!
  • Career Insights: Explore different career paths within the Business Intelligence Stack, and discover where Data Science fits in.
  • Real-World Application: Gain a clear understanding of what Data Science entails and the tools you'll need to embark on your data journey.
  • Hands-On Learning: With Python and Scikit-Learn at your fingertips, you'll write code and see Data Science in action.
  • Solid Foundation: This course serves as an introduction, preparing you for more advanced topics covered in subsequent modules.
  • Supplementary Materials: Enhance your learning with carefully curated reading materials to reinforce the concepts discussed.

Course Outline:

Module 1: The 500,000ft. View of Data Science

  • Understanding Data Science and Machine Learning: What are they, and why are they so crucial in today's data-driven world?
  • Data Science Careers: A walkthrough of various career opportunities within the Business Intelligence Stack.
  • Tools and Technologies: An overview of the tools you'll need to begin your Data Science journey, with a focus on Python and Scikit-Learn.
  • Basic Terminology and Principles: Get familiar with key terms and understand their significance in Data Science.
  • Python Programming Basics: Learn the fundamentals of Python programming language, which is essential for data analysis and manipulation.
  • Introduction to Scikit-Learn: Start your Machine Learning journey with this powerful library.

What You Will Learn:

  • The essence of Data Science and its transformative impact on various industries.
  • How to approach a data problem using the scientific method.
  • Basic statistical concepts that are foundational to understanding datasets.
  • How to manipulate, visualize, and explore real-world data using Python.
  • An introduction to Machine Learning algorithms through practical examples with Scikit-Learn.
  • The pathways to a career in Data Science, Analytics, or Business Intelligence.

Join us on this Data Science adventure! 🎉

This is the first step in your journey towards mastering Data Science. With a focus on foundational knowledge and practical application, this course will set you up for success as you progress through the remaining modules. So, are you ready to unlock the secrets of data and transform it into actionable insights? Enroll now and embark on an exciting new career path or simply satisfy your curiosity about the role of Data Science in our increasingly data-centric world! 💻✨


Note: This module is designed as a starting point. Subsequent modules will delve deeper into more complex concepts, algorithms, and real-world applications of Data Science. Remember, every expert was once a beginner, and this is where your journey begins! 🚀

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Comidoc Review

Our Verdict

This course offers an extensive introduction to data science, machine learning, and their related buzzwords with a strong emphasis on Python-based application using Scikit Learn. Despite minor concerns regarding resource accessibility, the use of Wikipedia as a source, occasional cursor distractions, and specific technical issues encountered by some learners, this course effectively caters to beginners aiming to grasp foundational concepts in data science. The structured approach provides plenty of opportunities for non-IT students to understand the field with an option for further exploration through recommended supplementary readings.

What We Liked

  • Comprehensive coverage of data science and machine learning concepts
  • Use of Python and Scikit Learn for practical implementation
  • Well-organized content suitable for beginners
  • Incorporation of supplementary reading materials for in-depth understanding

Potential Drawbacks

  • Issues with resource availability and accessibility
  • Concerns about using Wikipedia as a source
  • Occasional challenges in following the cursor movements
  • Technical hiccups related to Anaconda distribution pack
  • Limited focus on various algorithms and specialized techniques

Related Topics

1555134
udemy ID
15/02/2018
course created date
27/07/2019
course indexed date
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