Watch Data Science Full Course - 12 Hours | Data Science For Beginners | Data Science Tutorial | Edureka Video Tutorial


Tutorial Details & Info

Tutorial Title: Data Science Full Course - 12 Hours | Data Science For Beginners | Data Science Tutorial | Edureka
Instructor / Channel: edureka!
Lesson Runtime: 22:18 Minutes
Publish Date: January 11, 2023
Total Students / Views: 561,180 views

Follow step-by-step with Data Science Full Course - 12 Hours | Data Science For Beginners | Data Science Tutorial | Edureka created by edureka!. The total lesson runtime is 22:18 minutes providing step-by-step visual instructions. Watch this video tutorial for free without any subscription or sign-up required.

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Course Description & Lesson Notes

Official Video Description:

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (Use code: "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : https://www.edureka.co/data-science-python-certification-course This Edureka Data Science Full Course video will help you understand and learn Data Science Algorithms in detail. This Data Science Tutorial is ideal for both beginners as well as professionals who want to master Data Science Algorithms. Below are the topics covered in this Data Science Full course tutorial: 00:00:00 Introduction to Data Science Full Course 00:00:45 Agenda of Data Science Full Course 00:02:59 What is Data Science 00:04:31 Data Science Basics 00:07:13 Walmart use cases 00:12:05 Who is a Data Scientist 00:13:47 Role of a Data Scientist 00:15:39 Technologies to learn for a Data scientist 00:44:16 Data Scientist Roadmap 01:00:55 Data Science Salary 01:09:44 Statistics and Probability 01:40:48 Use Case 01:50:43 Confusion matrix 02:00:15 Probability 02:15:56 Bayes Theorem 02:22:22 Inferntial Statistics 02:31:37 Use Case 02:42:20 What is Machine Learning 02:59:23 What is Regression in Machine Learning 03:08:05 Use Case 03:25:53 Logistic Regression 03:32:46 Use case 04:14:25 Decision Tree Algorithm 04:15:01 What is Classification 04:19:12 Types of Classification 04:28:28 What is Decision Tree 04:35:35 Decesion Tree Terminologies 04:59:50 Random Forest 05:03:11 Working of Random Forest 05:04:08 RandomSampling with Replacement 05:12:15 Advantages of Random Forest 05:15:37 Hands-on Random forest 05:27:01 KNN Algorithm 05:29:02 Features of KNN 05:37:17 How Does KNN Algorithm Works 05:42:50 Hands-on KNN Algorithm 05:59:30 Naive Bayes Classifier 06:19:50 Support Vector Machine 06:45:16 K-means clustering Algorithm 07:05:27 Apriori Algorithm 07:21:14 Hands-on 07:35:08 Reinforcement Learning 07:38:25 Reinforcement Learning - Counter strike example 07:56:36 Q Learning 07:57:34 Defining a problem statement 08:01:37 The Bellman Equation 08:19:25 What is Deep Learning 08:23:24 Why do we need Artificial Neuron 08:33:55 What is Tensorflow 08:43:50 Tensorflow Code Basics 08:55:45 What is a Computational Graph 09:18:18 Limitation of a Single layer perception 09:25:54 Multi-layer Perceptron Use case 09:57:08 Data Scientist Resume 10:02:33 Data Science Interview Question & Answers 🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 🔵 DevOps Online Training: http://bit.ly/3VkBRUT 🌕 AWS Online Training: http://bit.ly/3ADYwDY 🔵 React Online Training: http://bit.ly/3Vc4yDw 🌕 Tableau Online Training: http://bit.ly/3guTe6J 🔵 Power BI Online Training: http://bit.ly/3VntjMY 🌕 Selenium Online Training: http://bit.ly/3EVDtis 🔵 PMP Online Training: http://bit.ly/3XugO44 🌕 Salesforce Online Training: http://bit.ly/3OsAXDH 🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t 🌕 Java Online Training: http://bit.ly/3tRxghg 🔵 Big Data Online Training: http://bit.ly/3EvUqP5 🌕 RPA Online Training: http://bit.ly/3GFHKYB 🔵 Python Online Training: http://bit.ly/3Oubt8M 🌕 Azure Online Training: http://bit.ly/3i4P85F 🔵 GCP Online Training: http://bit.ly/3VkCzS3 🌕 Microservices Online Training: http://bit.ly/3gxYqqv 🔵 Data Science Online Training: http://bit.ly/3V3nLrc 🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj 🔵 Angular Online Training: http://bit.ly/3EYcCTe 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC 🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy 🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT 🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V 🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4 🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz 🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv 🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP 🔵 Web Development Masters Program: http://bit.ly/3U9R5va 🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy 🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR 🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S 🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J 🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv 🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH 🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬 🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT 🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh 📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢 ⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

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Learn how to understand Data Science Full Course - 12 Hours | Data Science For Beginners | Data Science Tutorial | Edureka with this in-depth video tutorial guide. Throughout this course, you will gain step-by-step knowledge for Data Science Full Course - 12 Hours | Data Science For Beginners | Data Science Tutorial | Edureka.

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for Data Science Full Course - 12 Hours | Data Science For Beginners | Data Science Tutorial | Edureka taught by edureka!. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Data Science Full Course - 12 Hours | Data Science For Beginners | Data Science Tutorial | Edureka.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by edureka! 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.

📋 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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