Best Data Analytics Course Training Institute

Data Analytics

Data Analytics is a comprehensive program designed to help learners transform raw data into meaningful insights for better business decision-making. This course covers data collection, cleaning, visualization, statistical analysis, SQL, Excel, Python, Power BI, Tableau, and real-world business analytics projects. Students gain practical experience with industry-standard tools used by top organizations worldwide.

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Commercial

Industry Standard

Every 2 Weeks

New Batch Starts

Classroom / Remote

Training Modes

df.groupby()

.mean()

summary

📊

powerbi

refresh

DAX query

⚡

export

report.pdf

Data Analytics

REST APIs

SQL & Databases

Docker

AWS Cloud

Git & GitHub

Production Deployment

Data Analytics

REST APIs

SQL & Databases

Docker

AWS Cloud

Git & GitHub

Production Deployment

Program Overview

Data Analytics Includes

Advanced Excel

Master Excel for data analysis, including formulas, functions, Pivot Tables, charts, dashboards, data validation, and automation using advanced features.

SQL & Databases

Learn SQL queries, joins, subqueries, views, stored procedures, indexing, and database management to retrieve and analyze business data efficiently.

Python for Data Analytics

Use Python programming along with NumPy and Pandas to clean, manipulate, transform, and analyze large datasets.

Statistics & Data Analysis

Understand descriptive statistics, probability, hypothesis testing, regression, correlation, and business data analysis techniques.

Data Visualization

Create meaningful reports and dashboards using charts, graphs, KPIs, and interactive visualizations to communicate business insights.

Power BI

Develop interactive dashboards, reports, DAX calculations, Power Query transformations, and business intelligence solutions using Microsoft Power BI.

Tableau

Build professional dashboards and visual analytics reports using Tableau for business intelligence and decision-making.

Business Analytics

Learn KPI tracking, business reporting, forecasting, customer analytics, sales analysis, financial reporting, and business performance measurement.

Real-Time Projects

Work on industry-level datasets to solve real business problems using Data Analytics tools and techniques.

Prerequisites & Eligibility

Skills & Qualifications

This course is ideal for: • Students • Fresh Graduates • Working Professionals • Business Analysts

Note: Designed for students, freshers, and IT working professionals aiming to master Data Analytics with commercial project experience and 100% placement support.

Key Competencies Covered

Microsoft Excel SQL & MySQL Python NumPy Pandas Matplotlib Seaborn Power BI Tableau

Curriculum Breakdown

Data Analytics Syllabus

Comprehensive hands-on modules extracted directly from our official training document.

Module 1 – Advanced Excel

Module 1 Topic Coverage (Theory + Live Coding)

Excel Fundamentals

Formulas & Functions

Lookup Functions

Pivot Tables

Charts & Graphs

Conditional Formatting

Data Validation

Dashboards

Excel Automation

Includes Hands-On Labs Real-World Practice

Module 2 – SQL & Databases

Module 2 Topic Coverage (Theory + Live Coding)

Database Fundamentals

SQL Queries

Joins

Subqueries

Views

Stored Procedures

Window Functions

Database Design

MySQL

Includes Hands-On Labs Real-World Practice

Module 3 – Python for Analytics

Module 3 Topic Coverage (Theory + Live Coding)

Python Basics

NumPy

Pandas

Data Cleaning

Data Transformation

Exploratory Data Analysis (EDA)

Includes Hands-On Labs Real-World Practice

Module 4 – Statistics

Module 4 Topic Coverage (Theory + Live Coding)

Descriptive Statistics

Probability

Correlation

Regression

Hypothesis Testing

Business Statistics

Includes Hands-On Labs Real-World Practice

Module 5 – Data Visualization

Module 5 Topic Coverage (Theory + Live Coding)

Matplotlib

Seaborn

Interactive Charts

Dashboard Design

KPI Reporting

Includes Hands-On Labs Real-World Practice

Module 6 – Power BI

Module 6 Topic Coverage (Theory + Live Coding)

Power BI Desktop

Power Query

Data Modeling

DAX

Interactive Dashboards

Business Reports

Includes Hands-On Labs Real-World Practice

Module 7 – Tableau

Module 7 Topic Coverage (Theory + Live Coding)

Tableau Desktop

Charts

Dashboards

Storytelling

Filters

Parameters

Includes Hands-On Labs Real-World Practice

Module 8 – Business Analytics

Module 8 Topic Coverage (Theory + Live Coding)

Sales Analytics

Customer Analytics

Financial Analytics

Marketing Analytics

Forecasting

Business Reporting

Includes Hands-On Labs Real-World Practice

Practical Labs

Projects You'll Build

Build commercial portfolio-grade applications during your training.

Executive Sales & Revenue Dashboard

Build interactive Power BI and Tableau dashboards tracking revenue KPIs, regional sales, and margin trends.

Customer Segmentation & Churn Analysis

Analyze customer transaction histories and demographic data to identify churn risks and high-value segments.

Financial Performance & Budget Forecast

Perform time-series financial forecasting and budget variance analysis using Python and Advanced Excel.

Supply Chain & Inventory Optimization

Analyze warehouse inventory levels, supplier lead times, and stock reorder triggers using SQL.

Healthcare & Patient Analytics Dashboard

Create patient treatment outcome and hospital bed occupancy visual reporting models.

Digital Marketing Campaign Performance

Evaluate multi-channel marketing campaigns, conversion funnels, and ROI metrics with SQL and Python.

Got Questions?

We are here to help.

Everything you need to know before enrolling in the Data Analytics program.

01 What is Data Analytics?

Data Analytics is the process of collecting, cleaning, analyzing, and visualizing data to uncover meaningful insights that support better business decisions.

02 Who can join this course?

Students, graduates, working professionals, business analysts, finance professionals, marketers, and anyone interested in data analysis can join this course.

03 Do I need programming knowledge?

No. The course starts with Excel and SQL fundamentals before introducing Python for Data Analytics, making it beginner-friendly.

04 Which tools will I learn?

You will gain hands-on experience with: • Microsoft Excel • SQL & MySQL • Python • NumPy • Pandas • Matplotlib • Seaborn • Power BI • Tableau

05 Will I work on real-world projects?

Yes. Students complete industry-oriented projects using real business datasets to gain practical experience.

06 Does the course include Power BI and Tableau?

Yes. Both Power BI and Tableau are covered in detail, including dashboard creation, visualization, DAX, Power Query, and business reporting.

07 Is placement assistance provided?

Yes. We provide resume building, mock interviews, real-time project experience, career guidance, internship opportunities, and placement assistance.

08 Will I receive a certificate?

Yes. Students who successfully complete the course and project work will receive a Course Completion Certificate. Internship certificates may also be provided based on the institute's guidelines.

09 What skills will I gain?

You will develop skills in: • Data Cleaning • SQL Querying • Excel Automation • Python Programming • Data Visualization • Dashboard Development • Business Reporting • Statistical Analysis • Data Interpretation

10 What career opportunities are available after completing this course?

After completing the Data Analytics course, you can pursue roles such as: • Data Analyst • Business Analyst • BI (Business Intelligence) Analyst • Power BI Developer • Tableau Developer • Reporting Analyst • MIS Executive • Financial Data Analyst • Marketing Data Analyst • Operations Analyst • Product Analyst • SQL Developer • Data Visualization Specialist • Junior Data Scientist • Analytics Consultant

Still have questions about this course?

Speak directly with our senior course advisors to customize your learning path.

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