R Programming Language For Data Scientists (Data Science) Tm

Data Science With Case Study

What you'll learn

R Programming Language for Data Scientists (Data Science)

Data Science Session 1

Data Science Session 2

Data Science Process Overview

Data Scientist

Data Scientist AIML End to End

Data Science Process Overview

Data Science Process Overview End to End AIML

Introduction to R for Data Science

R Programming Basics AIML End to End

R Programming Part 2

Requirements

Anyone can learn this class it is very simple.

Description

1. R Programming Language for Data Scientists (Data Science)Overview:-This course introduces the R programming language specifically tailored for Data Science applications. It covers the fundamentals of R and its application in data analysis, visualization, and machine learning.Learning Outcomes:-Master the basics of R programming.Apply R in data manipulation, visualization, and modeling.2. Data Science Session 1Overview:-The first session introduces core concepts of Data Science, including data collection, preprocessing, and exploration.Learning Outcomes:-Understand the foundational concepts of Data Science.Learn how to collect and prepare data for analysis.3. Data Science Session 2Overview:-This session delves deeper into data analysis techniques and introduces the basics of statistical modeling.Learning Outcomes:-Explore advanced data analysis techniques.Begin working with statistical models in Data Science.4. Data Science Process OverviewOverview:-Provides a comprehensive overview of the Data Science process, from data collection to model deployment.Learning Outcomes:-Gain a holistic understanding of the Data Science workflow.Learn about each stage of the Data Science process.5. Data ScientistOverview:-Focuses on the role of a Data Scientist, covering key skills, tools, and methodologies used in the field.Learning Outcomes:-Understand the responsibilities and skillset of a Data Scientist.Get acquainted with essential tools and techniques.6. Data Scientist AIML End to EndOverview:-Explores the end-to-end process of applying Artificial Intelligence and Machine Learning in Data Science projects.Learning Outcomes:-Learn how to integrate AI and ML techniques in Data Science workflows.Complete an end-to-end AIML project.7. Data Science Process OverviewOverview:-Another overview focused on reinforcing the understanding of the Data Science process.Learning Outcomes:-Solidify your understanding of the Data Science lifecycle.Review key concepts and stages in the process.8. Data Science Process Overview End to End AIMLOverview:-This session provides a detailed walkthrough of the entire Data Science process with an emphasis on AIML integration.Learning Outcomes:-Master the end-to-end Data Science process.Apply AIML techniques to real-world Data Science problems.9. Introduction to R for Data ScienceOverview:-Introduces R programming with a focus on its application in Data Science, including data manipulation and visualization.Learning Outcomes:-Get started with R programming for Data Science.Learn to use R for basic data analysis tasks.10. R Programming Basics AIML End to EndOverview:-Covers the basic syntax and structures of R, with a focus on applying them in AIML contexts.Learning Outcomes:-Learn the fundamentals of R programming.Apply R in basic AIML tasks and projects.11. R Programming Part 2Overview:-This section builds on the basics, introducing more advanced R programming techniques, including data wrangling and modeling.Learning Outcomes:Develop advanced R programming skills.Implement complex data wrangling and modeling tasks using R.

Overview

Section 1: Data Science Session Part 1

Lecture 1 Data Science Session Part 1

Section 2: Data Science Session Part 2

Lecture 2 Data Science Session Part 2

Section 3: Data Science Process Overview

Lecture 3 Data Science Process Overview

Section 4: Data Scientist

Lecture 4 Data Scientist

Section 5: Data Scientist AIML End to End

Lecture 5 Data Scientist AIML End to End

Section 6: Data Science Process Overview Part 2

Lecture 6 Data Science Process Overview Part 2

Section 7: Data Science Process Overview End to End AIML

Lecture 7 Data Science Process Overview End to End AIML

Section 8: Introduction to R for Data Science

Lecture 8 Introduction to R for Data Science

Section 9: R Programmig Basics AIML End to End

Lecture 9 R Programmig Basics AIML End to End

Section 10: Introduction to R Programming

Lecture 10 Introduction to R Programming

Section 11: R Programming Part2

Lecture 11 R Programming Part2

Section 12: Data Structures in R Programming

Lecture 12 Data Structures in R Programming

Section 13: Data Structures in R Programming AIML End to End

Lecture 13 Data Structures in R Programming AIML End to End

Anyone who wants to learn future skills and become Data Scientist, Ai Scientist, Ai Engineer, Ai Researcher & Ai Expert.