Watch What is Data Science? | Free Data Science Course | Data Science for Beginners | codebasics Video Tutorial


Tutorial Details & Info

Tutorial Title: What is Data Science? | Free Data Science Course | Data Science for Beginners | codebasics
Instructor / Channel: codebasics
Lesson Runtime: 06:47 Minutes
Publish Date: December 10, 2019
Total Students / Views: 713,400 views

Follow step-by-step with What is Data Science? | Free Data Science Course | Data Science for Beginners | codebasics created by codebasics. This full video course has a total duration of 06:47 minutes with crystal clear HD video and audio quality. Follow along to build your skills without any subscription or sign-up required.

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Course Description & Lesson Notes

Official Video Description:

We will understand what is data science by looking at simple restaurant business example. Data science is a process of getting insights from data. You don't have to be deep learning expert in order to do data science, you can do that in plain old microsoft excel also (if dataset is small enough). In recent years volume of data has grown too much so that data has become BIG DATA. Microsoft excel can't work with big data hence you need tools such as, #DataScience #WhatIsDataScience #DataScienceForBeginners #DataScientist #DataScienceTutorial #DataScienceWithPython #DataScienceCourse 1) Apache hadoop and apache spark: For database storage and distributed computing 2) Python and R: For data science programming 3) Tableau, Power BI, Matplotlib, MATLAB, Jupyter Notebook: For data visualization 4) Sklearn, Deep Learning, Tensorflow, PyTorch: For deep learning and machine learning Data scientist has become the most popular job in the market today and there is a huge career scope if you know how to do data science. Some of the use cases of data science in real life are, 1) Healthcare: Diagnostic prediction and accuracy 2) Finance: Fraud detection, predictive analysis on loans, stock market movement, company future 3) Shipping: Figure out best route for shipping 4) E-commerce: Product recommendation, inventory pricing Very Simple Explanation Of Neural Network: https://www.youtube.com/watch?v=ER2It2mIagI Form to fill out your definition of data science (Fill free yo use innovative, poetic, funny language) https://forms.gle/ukkQKddkiwna1H1L7 Do you want to learn technology from me? Check https://resources.codebasics.io/xk4FA1 for my affordable video courses. 🌎 My Website For Video Courses: https://resources.codebasics.io/xk4FA1 Need help building software or data analytics and AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website. #️⃣ Social Media #️⃣ πŸ”— Discord: https://discord.gg/r42Kbuk πŸ“Έ Codebasics Instagram: https://www.instagram.com/codebasicshub/ πŸ”Š Codebasics Facebook: https://www.facebook.com/codebasicshub πŸ“ Codebasics LinkedIn: https://www.linkedin.com/company/codebasics/ πŸ“± Codebasics X handle: https://twitter.com/codebasicshub πŸ“Έ Dhaval's Instagram: https://www.instagram.com/dhavalsays/ πŸ“ Dhaval's LinkedIn: https://www.linkedin.com/in/dhavalsays/ πŸ“± Dhaval's X handle: https://x.com/dpcodebasics πŸ”— Patreon: https://www.patreon.com/codebasics?fan_landing=true

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πŸŽ“ Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for What is Data Science? | Free Data Science Course | Data Science for Beginners | codebasics taught by codebasics. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

πŸ’‘ Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for What is Data Science? | Free Data Science Course | Data Science for Beginners | codebasics.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by codebasics with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

πŸ“‹ Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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