Name: Introduction To Data Science With R Certification Course in Baltimore | Henry Harvin
Uploaded: 2021-02-22 09:24:58
Description: Learn the core skills of Data Science - Data Manipulation, Data Visualization, and Machine Learning with R | Choose the technology of choice for New-Age Organizations | With R, create more relevant insights due to more precise data collection and storage

Module 1: Introduction to Business Analytics
In this module, the candidate will learn about Analytics, Applications, Data Science, Data Mining, Statistics, and the difference between Supervised and Unsupervised Learning.
- Analytics Definition and Applications
- Data Science, Data Mining, Statistics
- Supervised vs Unsupervised Learning
- Quiz Module 1
Module 2: Introduction to R Programming
In this module the candidate will learn about R: R Installation, Data Import and Export, and also about Operations in R.
- About R: R Installation
- Data Import and Export
- Operators in R
- Quiz Module 2
Module 3: Data Structures
In this module, the candidate will learn about Data Types and Structures.
- Data Types
- Data Structures
- Quiz Module 3
Module 4: Data Management in R
In this module the candidate will learn about Apply Family in R, Aggregate and Table Commands, Data Manipulation, and Managing Missing Values in R.
- Apply Family in R
- Aggregate and Table Commands
- Data Manipulation in R
- Managing Missing values in R
- Quiz Module 4
Module 5: Advanced Data Visualization
In this module the candidate will learn about Selection of Graph, what is Basic Graph, GGPlot Library, and PLots. Selection of graph
- Introduction to basic graphs
- Introduction to GGPlot Library
- Plots: Scatter Plot, Histogram, Bar Plot, Box Plot, Heatmap, etc
- Quiz Module 5
Module 6: Descriptive Statistics in R
In this module, the candidate will learn how to apply the function of Statistics in R.
- Applying function of Statistics in R
- Quiz Module 6
Module 7: Regression Analysis
In this module, the candidate will learn about Regression Analysis, Linear Analysis, Multi-Linear Regression, Logistic Regression, and Assumptions of the Model.
- Introduction to Regression analysis
- Building models for analysis
- Linear Regression
- Multi-Linear Regression
- Logistic Regression
- Assumptions of the model
- Quiz Module 7
Module 8: Decision Tree: Classification
In this module, the candidate will learn about Decision Tree, the CART Approach, and how to Build Models for Analysis.
- Introduction to Decision Tree
- Building models for analysis
- CART Approach
- Quiz Module 8
Module 9: Clustering: K-means and Hierarchical
In this module the candidate will learn about Cluster Analysis, K- Means Clustering, and Hierarchical Clustering.
- Introduction to Cluster Analysis
- Building models for analysis
- K-means Clustering
- Hierarchical Clustering
- Quiz Module 9
Module 10: Association Rule Analysis
- Introduction to Association Rule Analysis
- Understanding requirements for ARA: Support, Confidence, and Lift
- Building models for analysis
- Quiz Module 10
Module 11: Complimentary Module 1: Soft Skills Development
- Business Communication
- Preparation for the Interview
- Presentation Skills
Module 12: Complimentary Module 2: Resume Writing
- Resume Writing Techniques

Data Science with R Course in Baltimore

25 Nov 2024

24 Hours

25 Nov 2024

24 Hours

Book a Live Class, For Free!

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Key Highlights

24 Hours of Instructor-Led Sessions

8 Hours of Live Interactive Doubt Solving Sessions

4 Hours of Live Master Sessions by Industry Experts

192 Hours of Self-Paced Learning

192 Hours Hands on with Cloud Labs

Job-Ready Portfolio of 3 Capstone Projects

35 Auto-Graded Assessments

6+ Industry Case Studies

36 Guided Hands-On Exercises

3+ Assignments and Mini Projects

1 Mock Interview and 1 Hackathon

Get 1-Year Gold Membership of Henry Harvin® School of Data Science & Analytics

Get a guaranteed Internship with Henry Harvin® and in top MNCs like J.P. Morgan, Accenture & many more via Forage

Get 3 in 1 Placement support through Placement Drives, Premium access to Job portal & Personalized Job Consulting

2 Hours of Mentorship by Industry Experts

Earn Certification of Course from Henry Harvin®, Govt of India recognized & Award-Winning Institute and NSDC Certification

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Access the best jobs in the industry

You Get 10-In-1 Program

About the Data Science with R Course in Baltimore

Data Science with R

AGOTA™ Framework

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Gold Membership Benefits

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Career Benefits

Alumni Status

Curriculum For Data Science with R Course in Baltimore

Module 1: Introduction to Business Analytics

Module 2: Introduction to R Programming

Module 3: Data Structures

Module 4: Data Management in R

Module 5: Advanced Data Visualization

Module 6: Descriptive Statistics in R

Module 7: Regression Analysis

Module 8: Decision Tree: Classification

Module 9: Clustering: K-means and Hierarchical

Module 10: Association Rule Analysis

Module 11: Complimentary Module 1: Soft Skills Development

Module 12: Complimentary Module 2: Resume Writing

Admission Closes On 25 Nov 2024

Post Graduate Program in Data Science

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What you'll Learn in this course

Application of R programming language in Data Science

Coding and Web Development

Software Development Tools

Complex Data Operations in R

Fundamentals of Regression Analysis

Building Models for Analysis

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