Data & AI · Corporate Training

Data Analytics

Analyse data and build insightful reports using Excel, SQL, Python and Power BI.

11 modules On-site · Online · At our centre Completion certificate
Key outcomes

What your team will learn

Advanced Excel

Master data entry, formatting, advanced functions, pivot tables, and automation for robust reporting.

SQL for Analytics

Learn database concepts, complex queries, joins, and real-time scenarios to extract and manipulate data.

Python Programming

Build a strong foundation in Python basics, advanced concepts, and data structures for analytics.

Python Libraries

Utilize NumPy, Pandas, Matplotlib, and Seaborn for data manipulation and visualization.

Statistics & EDA

Apply descriptive and inferential statistics, trend analysis, and outlier detection to uncover insights.

Feature Engineering

Prepare data through encoding, scaling, normalization, and transformation techniques.

Power BI

Create interactive dashboards, perform data modeling, and master DAX for business intelligence.

Business Analytics & AI

Leverage AI tools like ChatGPT for analytics, KPI reporting, and executive decision-making.

Curriculum

Program curriculum

11 modules. Modules and depth can be customised for your team.

01Advanced Excel for Data Analytics
  • Excel Fundamentals
  • Workbook & Worksheet Handling
  • Data Entry & Formatting
  • Conditional Formatting
  • Data Validation
  • Freeze Panes
  • Flash Fill
  • Excel Functions
  • Advanced Excel
  • Data Cleaning
  • Advanced Reporting
  • Excel Automation
02SQL for Data Analytics
  • SQL Fundamentals
  • Database Concepts
  • RDBMS
  • SQL Installation
  • Creating Databases & Tables
  • SQL Queries
  • SQL Joins
  • Advanced SQL
  • SQL for Analytics
  • Real-Time SQL Scenarios
03Python Programming
  • Python Basics
  • Python Advanced
  • Data Structures
04Python Libraries for Data Analytics
  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
05Statistics for Data Analytics
  • Descriptive Statistics
  • Inferential Statistics
  • Statistical Analysis
06Exploratory Data Analysis
  • EDA Fundamentals
  • Trend Analysis
  • Outlier Detection
  • Missing Value Analysis
  • Business Insights
  • EDA with Python
07Feature Engineering
  • Data Preparation
  • Encoding Techniques
  • Scaling
  • Normalization
  • Feature Selection
  • Feature Importance
  • Data Transformation
  • Handling Skewness
  • Binning
  • Feature Creation
08Power BI
  • Power BI Fundamentals
  • Power BI Interface
  • Data Loading
  • Data Transformation
  • Power Query Editor
  • Data Cleaning
  • Data Modeling
  • DAX
  • Power BI Visualizations
  • Dashboard Development
  • Power BI Service
09Business Analytics
  • Business Case Studies
  • KPI Reporting
  • Business Metrics
  • Executive Dashboards
  • Decision Making
10AI Tools for Data Analysts
  • AI-Powered Analytics
  • ChatGPT for Analytics
  • AI Data Cleaning
  • AI Visualization Assistance
  • AI Report Generation
  • Productivity Tools
  • AI Excel Tools
  • AI Dashboard Generation
  • AI Prompt Engineering
11Real-Time End-to-End Projects
  • Major Projects
  • Mini Projects
Hands-on

Project work

Participants apply what they learn by building practical, real-world projects such as:

Sales Analytics Dashboard

An interactive dashboard analyzing sales trends, regional performance, and product profitability.

Power BISQLExcel

E-Commerce Customer Analytics

Customer segmentation and behavior analysis to improve retention and marketing strategies.

PythonPandasSeaborn

HR Analytics Dashboard

A comprehensive view of employee attrition, performance metrics, and demographic distribution.

Power BIExcelDAX

Banking Data Analysis

Analyzing loan default rates and customer creditworthiness using statistical methods.

PythonSQLMatplotlib

Financial Reporting Dashboard

Automated financial statements and KPI tracking for executive decision-making.

Advanced ExcelPower QueryPower BI
Audience

Who should attend

Data AnalystBusiness Intelligence AnalystPower BI DeveloperSQL DeveloperData Visualization ExpertReporting AnalystBusiness Analyst
FAQ

Frequently asked questions

Do I Need Coding Knowledge?

No prior coding knowledge is required. We start from the absolute basics of Excel and SQL before moving into Python programming.

Is Excel Included?

Yes, Advanced Excel is a core module. You will learn everything from basic formatting to complex functions, pivot tables, and automation.

Will I Work on Real-Time Projects?

Absolutely. The curriculum includes 5 major end-to-end projects and 7 mini projects based on real-world business scenarios.

Is Power BI Covered from Basics to Advanced?

Yes, we cover Power BI comprehensively, including Power Query, Data Modeling, DAX, and Dashboard Development.

Can this program be customised for our team?

Yes. We tailor the modules, depth, examples and hands-on projects to your team's current skills, technology stack and business goals.

Where is the training delivered?

On-site at your office or campus, live online for distributed teams, or at our training centre in Nagole, Hyderabad, whichever suits your team best.

How long does the program take?

Duration depends on the modules you choose and your team's availability. Our training proposal includes a detailed schedule with hours, timeline and session plan.

Do participants receive a certificate?

Yes. Participants who complete the program receive a PRR Technologies training completion certificate.

Train your team in Data Analytics

Tell us your team size, current skill level and preferred format. We will send a tailored training proposal.