The Data Science and Machine Learning course is designed with the depth of Data Science and Machine Learning Concepts using R Programming. This course will help you to move your first step on Data Science world. You will get in depth knowledge on Data Structure in R, Understanding Vectors & Data input in R, Creating Data Files using R. Visualization and Metrics, Sampling and Estimating, Probability, Clustering, Classification, Regression, etc. The Course is bundled with Industry Grade Projects, Assignments and Use Cases.
Why This Course:
- Covers Visualization and Metrics, Sampling and Estimating, Probability, Clustering, Classification, Data Structure in R, Creating Data Files using R, Regression etc.
- Hands-on Experience
- Industry Grade Use Cases
- Online Practical Platform
- Live Support (24×7)
What You Will Get:
- LMS Access
- 50+ Assignments
- 100+ Quizzes
- 5+ Industry Grade Projects
- Live Support via Mail, Call & Screen Sharing
- Course Completion Certificate from EduNextgen
Who Should Attend:
- Software Developers, Software Architects, Project Managers and Data Scientists
- Professionals with Analytics and Data Management Profile
- Professionals with Business Intelligence, ETL and Data Warehousing Background
- Professionals from Testing and Mainframe Background
Prerequisites: There is no specific prerequisite for Data Science Training but some basic of R and Mathematics would be very helpful.
Course Curriculum
| Module 1 | |||
| Introduction to Data Science Details | 04:00:00 | ||
| Module 2 | |||
| Data Handling in R Programming Details | 04:00:00 | ||
| Module 3 | |||
| Data Comprehension through Visualization and Metrics Details | 04:00:00 | ||
| Module 4 | |||
| Introduction to Statistics Details | 04:00:00 | ||
| Module 5 | |||
| Introduction to Statistics -2 Details | 04:00:00 | ||
| Module 6 | |||
| Introduction to Probability Details | 04:00:00 | ||
| Module 7 | |||
| Introduction to Machine Learning Details | 04:00:00 | ||
| Module 8 | |||
| Machine Learning Concepts and Terminologies Details | 04:00:00 | ||
| Module 9 | |||
| Regression Techniques Details | 04:00:00 | ||
| Module 10 | |||
| Market Basket Analysis Details | 04:00:00 | ||
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