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Data Analytics using SQL and R

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Learn Data Analytics using SQL and R. Master data extraction, querying, statistical analysis, visualization, and business intelligence techniques.

10 Modules
with Certifications
20:44 Hours
of Recorded Content
4.5 Ratings
by 1279 Learners
English
Language
Paid Course
Get this Course @ ₹2,249.10
1279 enrolled in this course

Data Analytics using SQL and R

Data analytics has become one of the most in-demand skills across industries, enabling organizations to make informed decisions from large volumes of data. This course equips learners with practical expertise in SQL, R Programming, Excel, and Business Intelligence tools to perform end-to-end data analysis and reporting. Beginning with analytics fundamentals and spreadsheet-based analysis, learners progressively master SQL querying, data cleaning, statistical techniques, visualization using R, and dashboard development with Power BI or Tableau. Through case studies, reporting projects, and a comprehensive capstone, participants develop the ability to convert raw datasets into meaningful business insights while building a professional portfolio for analytics careers.
MASTERING THE DATA SCIENCE LIFECYCLE

Comprehensive Syllabus Outline

A comprehensive curriculum designed to take you from beginner to professional.

M1

Module 1 — Foundations of Data Analytics

Introduction to Data Analytics, Business Intelligence and Decision-Making
Data Analytics Career Paths, Industry Tools and End-to-End Analytics Workflow

M2

Module 2 — Excel Analytics and Dashboarding

Using Microsoft Excel for Data Analysis and Business Reporting
Data Preparation using Sorting, Filtering, Formulas and Functions in Excel
Creating Interactive Charts, Pivot Tables and Dashboards in Excel
Designing Professional Dashboard Layouts and Visual Insights

M3

Module 3 — Excel Analytics Project

Building an HR Attrition Analytics Dashboard using Excel
Employee Performance Analysis using Pivot Dashboard Techniques

M4

Module 4 — SQL for Data Analytics

Performing Data Analysis using SQL CRUD Operations, Joins and Aggregations
Advanced SQL Querying using Grouping, Joins and Subqueries

M5

Module 5 — R Programming for Analytics

Introduction to R Programming and Data Manipulation using dplyr
Data Exploration using Variables, Vectors and Data Frames in R
Data Cleaning and Data Quality Improvement using R
Handling Missing Values, Outliers and Text Data in R

M6

Module 6 — Data Visualization using R

Creating Interactive Visualizations using ggplot2 and Plotly
Building Statistical Charts and Analytical Visualizations in R

M7

Module 7 — Analytics Reporting Project

Building Business Intelligence Dashboards using Power BI and Tableau
Integrating R Scripts into Power BI for Advanced Analytics
Developing a Sales and Marketing Analytics Report
End-to-End Analytics Workflow using SQL, R and Power BI

M8

Module 8 — Data Pipeline and Statistical Analysis

Understanding ETL Pipelines and Data Processing Workflows
Building Data Transformation Pipelines using R
Applying Statistical Methods for Business Analytics
Hypothesis Testing, Correlation Analysis and Descriptive Statistics

M9

Module 9 — Capstone Analytics Project

Capstone Project: Building a Multi-Layer Analytics Dashboard
Domain-Specific Analytics Project and Business Insights Presentation

M10

Module 10 — Portfolio and Career Readiness

Creating an Analytics Resume and LinkedIn Profile
Building a Professional Analytics Portfolio
Showcasing Analytics Projects using GitHub Portfolio
Job Readiness and Analytics Interview Preparation

Capstone Project

Analytics Portfolio Development Suite

The capstone project challenges you to integrate SQL data extraction, R-based processing, and BI visualization into a single professional case study.

Cleaned and processed dataset using R (dplyr/tidyr)
PROJECT

Cleaned and processed dataset using R (dplyr/tidyr)

Access hands-on simulation modules to master production level engineering challenges.

Optimized SQL query repository for data extraction
PROJECT

Optimized SQL query repository for data extraction

Access hands-on simulation modules to master production level engineering challenges.

Interactive Multi-layered Dashboard (Retail/Finance/Healthcare focus)
PROJECT

Interactive Multi-layered Dashboard (Retail/Finance/Healthcare focus)

Access hands-on simulation modules to master production level engineering challenges.

Executive Summary Report with actionable business recommendations
PROJECT

Executive Summary Report with actionable business recommendations

Access hands-on simulation modules to master production level engineering challenges.

GitHub project documentation and technical README
PROJECT

GitHub project documentation and technical README

Access hands-on simulation modules to master production level engineering challenges.

CORE TOOLING MASTERY

Tech Stack

Master the primary professional software development packages and workflow tools.

SQL
R Programming
dplyr
ggplot2
plotly
Microsoft Excel
Power BI
Tableau
PivotTables
GitHub
Career Impact

Career Impact: What You'll Be Able to Do

Observe the real-world utility outcomes you gain after program completion.

Perform complex business data analysis using SQL queries and relational databases.
Clean, transform, and prepare messy datasets using professional R programming techniques.
Create high-impact data visualizations using ggplot2 and interactive plotly charts.
Build dynamic, interactive dashboards using Power BI and Tableau for corporate reporting.
Apply descriptive statistics and hypothesis testing to back analytical decision-making with data.
Develop a professional analytics portfolio that demonstrates job-readiness to recruiters.

Course Stats

₹10.5 LPA

Average Salary

₹38 LPA

Highest Salary

120%

Salary Hike

9,500+

Job Vacancies

Key Features

Mentorship

Receive guidance and insights from industry experts

Hands-on Experience

Gain practical skills in a real-world cutting-edge projects.

Networking

Connect with professionals and peers in your field

Skill Development

Enhance your technical and soft skills

Career Advancement

Boost your resume with valuable experience

Dual Certificate

Get a certification to showcase your achievements
DIGITAL VERIFIABLE CREDENTIAL

Let Your Certificates Speak For You

Our certification formally validates your skill set in recruiter searches with unique QR code verification and LinkedIn-ready structures.

Unique Credential ID & QR Code
Recruiters can scan to instantly verify your project files, source repository, and official completion marks.

Linkedin Certified Recognition
Easily push to your Linkedin profile with 1-click credential linking to increase high-end corporate recruiter views.

Certificate Sample
Status
Verified

Where Our Learners Work

Our alumni are driving innovation at the world's most prestigious technology companies.

Flipkart
Freshworks
Juspay
Chargebee
Zoho
PayPal
PREMIER PLATFORM EXPERIENCE

Why Pantech?

An expert-crafted learning infrastructure built for technical fluency.

Industrial Expert Mentors

Direct guidance and weekly doubt clearing sessions hosted by hardware, embedded, and software engineering veterans.

24/7 Interactive Support

Ask coding doubts anytime on our student community workspace and receive instant assistance.

Self-Paced Learning Engine

Access lifetime recorded modules with adaptive pacing to balance academics and professional work.

Career Guidance Support

Exclusive resume review, mock interviews, and placement assistance from industry experts.

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HAVE QUESTIONS?

Frequently Asked Questions

Find instant answers to all common questions about our technical certificate courses.

1. Is this course suitable for beginners?

Yes. The course starts with data analytics fundamentals before gradually introducing Excel analytics, SQL, R programming, visualization, and dashboard development.

2. What projects will I build?

You will work on practical projects including an HR Attrition Dashboard, Employee Analysis Pivot Dashboard, Sales/Marketing Visual Report, and a Multi-layered Dashboard Capstone using real-world datasets.

3. Which software tools will I use?

The course covers SQL, R Programming, dplyr, ggplot2, plotly, Microsoft Excel, Power BI, Tableau, and GitHub as part of the analytics workflow.

4. Are hands-on practical exercises included?

Yes. The curriculum includes guided exercises, business case studies, dashboard development, data cleaning tasks, visualization activities, and multiple implementation-based projects.

5. What career opportunities does this course prepare me for?

After completing this course, learners can pursue roles such as Data Analyst, Business Analyst, Reporting Analyst, Business Intelligence Analyst, Analytics Associate, SQL Developer, and Junior Data Analytics Professional.

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