Master the concepts in Data Science Projects Tutorial | Data Science Projects In R | Data Science Training | Edureka instructor edureka!. This full video course has a total duration of 22:43 minutes providing step-by-step visual instructions. Access this full online lesson today on TutorTube.
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Course Description & Lesson Notes
Official Video Description:
** Data Science Certification using R: https://www.edureka.co/data-science-r-programming-certification-course **
This Edureka "Data Science Projects" video explains how to solve a problem using data science and the basic approach of a Data Scientist to go about a problem. Below are the topics covered in this module:
[01:30] Basic approach to solve a problem
[02:21] Problem Statement 1
[02:56] Decision Trees and Random Forests
[09:42] Problem Statement 2
[10:25] Logistic Regressions
[21:44] Summary
Check out our Data Science Tutorial blog series: http://bit.ly/data-science-blogs
Check out our complete Youtube playlist here: http://bit.ly/data-science-playlist
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#DataScienceProjects #DataScienceTutorial #MachineLearningProjects
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How it Works?
1. This is a 30-hour Instructor-led Online Course.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!
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About the Course
Edureka's Data Science Training lets you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R. Data Science Training encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation and HR.
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Who should go for this course?
The market for Data Analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Our Data Science Training helps you to grab this opportunity and accelerate your career by applying the techniques on different types of Data. It is best suited for:
Developers aspiring to be a 'Data Scientist'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'R' professionals who wish to work Big Data
Analysts wanting to understand Data Science methodologies
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Why learn Data Science?
Data science is an evolutionary step in interdisciplinary fields like the business analysis that incorporate computer science, modelling, statistics and analytics. To take complete benefit of these opportunities, you need a structured training with an updated curriculum as per current industry requirements and best practices.
Besides strong theoretical understanding, you need to work on various real-life projects using different tools from multiple disciplines to gather a data set, process and derive insights from the data set, extract meaningful data from the set, and interpret it for decision-making purposes.
Additionally, you need the advice of an expert who is currently working in the industry tackling real-life data-related challenges.
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Got a question on the topic?
Please share it in the comment section below and our experts will answer it for you.
For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).
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🎓 Lesson Overview & Learning Outcomes:
Welcome to the step-by-step video guide for Data Science Projects Tutorial | Data Science Projects In R | Data Science Training | 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 Projects Tutorial | Data Science Projects In R | Data Science Training | 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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