Overview

Data Analytics Certification Training provides a comprehensive foundation in statistical analysis, data exploration, and real-world application of analytics techniques using R. The course blends statistical methods with tools from computer science, data visualization, and machine learning to help you make data-driven decisions and uncover meaningful patterns.

This hands-on training walks you through the complete data analytics lifecycle—from data extraction and wrangling to applying machine learning models like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes.

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Key Features

• 32 hours of Interactive Classroom and Virtual Online training
• Lifetime e-Learning Access Included
• Highly Experienced Instructors
• Real world examples from various industries
• Chapter End quizzes and Case Studies
• 35 Contact hours certificate
• 24/7 customer support
• Industry-Recognized Certification

Key Learning Outcomes

Master Data Analytics with R and become confident in solving real-world business problems through data-driven techniques. By the end of this course, you will be able to:

🔹 Build a Strong Foundation

• Understand the core concepts of business analytics

• Set up your R and RStudio environment, including essential packages

🔹 Master R Programming

• Write efficient R code using variables, functions, loops, and conditional logic

• Work with various data structures: vectors, lists, matrices, data frames, and factors

🔹 Import, Transform & Manage Data

• Load and export data from multiple sources (CSV, Excel, databases)

• Use apply(), lapply(), sapply(), and the dplyr package for powerful data transformation

🔹 Visualize Data for Insights

• Create insightful graphs and plots using base R graphics and ggplot2

• Build compelling data visualizations for decision support

🔹 Understand Statistical Concepts

• Learn key statistical principles: mean, median, variance, standard deviation, distributions

• Apply hypothesis testing techniques to validate assumptions and business insights

🔹 Perform Predictive Analytics

• Build linear and logistic regression models to predict outcomes

• Apply classification techniques such as decision trees, random forests, and Naïve Bayes

🔹 Apply Machine Learning Techniques

• Discover relationships using association rules and the Apriori algorithm

• Perform clustering using K-means, DBSCAN, and hierarchical models

Course Outline: Data Analytics Training

Lesson 01: Introduction to Business Analytics

• What is Business Analytics?

• Types & Applications of Business Analytics

• Overview of Data Science

• Business Decisions and Data-Driven Strategy

Lesson 02: Introduction to R Programming

• Why R for Data Analytics?

• Data Types, Variables, Operators

• Conditional Statements and Loops

• Writing R Scripts and Functions

Lesson 03: Data Structures in R

• Identifying Key Data Structures

• Vectors, Lists, Matrices, Data Frames, Factors

• Data Assignment and Manipulation

• Function Application on Data Structures

Lesson 04: Data Visualization

• Fundamentals of Data Visualization

• Using Base R Graphics

• Data Visualization with ggplot2

• Exporting Graphs in Various Formats

Lesson 05: Statistics for Data Science – I

• Understanding Hypothesis and Hypothesis Types

• Data Sampling, Confidence & Significance Levels

• Basics of Inferential Statistics

Lesson 06: Statistics for Data Science – II

• Hypothesis Testing: Parametric & Non-Parametric

• Tests for Means, Variance, and Proportions

• Applying Tests in R

Lesson 07: Regression Analysis

• Introduction to Regression Techniques

• Linear & Non-Linear Models

• Multiple Regression, PCA & Factor Analysis

• Model Validation and Cross-Validation

Lesson 08: Classification Techniques

• Types of Classification Models

• Logistic Regression, SVM, KNN, Naive Bayes

• Decision Trees and Random Forest

• Model Evaluation with K-Fold Cross Validation

Lesson 09: Clustering Techniques

• What is Clustering?

• K-Means, Hierarchical, and DBSCAN Methods

• Hands-on Clustering Demonstrations

Lesson 10: Association Rules

• Basics of Association Rules

• Apriori Algorithm and Rule Mining

• Hands-on Apriori Implementation

Certification Process

You’ll be awarded the Trainerkart Certificate in Data Analytics with R after successful completion of the project reviewed by our experts. Our certifications are recognized by leading MNCs like Cisco, IBM, Wipro, Accenture, Ford, Citi, Walmart, Amazon, Philips, and more.

FAQs

Q: Do you provide a money-back guarantee?
A: Yes, we offer a money-back guarantee for select programs. Contact support@trainerkart.com for details.

Q: Is a certificate provided upon course completion?
A: Yes, upon successful completion, you will receive a course completion certificate.

Q: Are there group discounts available?
A: Yes, please reach out to support@trainerkart.com for group pricing.