Data Analyst

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Microsoft framework for building scalable, cross-platform applications. .NET supports web, desktop, and mobile development with robust performance and security.

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Why Choose Us?

Real-time and career-focused Data Analyst training is offered online by OnlineITvidhya. Our program is designed to make you job-ready by combining strong fundamentals with the latest industry tools and techniques.

By the end of the course, you will have the skills and confidence to secure opportunities in top MNCs. Our trainers are industry experts with hands-on real-time experience, ensuring you gain practical knowledge, not just theory.

Our course curriculum is carefully structured based on student backgrounds and career goals. You will gain expertise in tools and technologies such as Excel, SQL, Python, Power BI, Tableau, and Data Visualization techniques, along with real-time projects and interview preparation.

Who Can Learn This Course?

This course is ideal for:

Fresh graduates looking to start a career in Data Analytics
Working professionals planning to switch to a Data Analyst role
Anyone interested in working with data and deriving insights
Individuals who prefer learning through real-time projects and practical examples

No prior experience is required, but having basic knowledge of programming or statistics is an added advantage.

Prerequisites for the Data Analyst Course

There are no strict prerequisites to join this course. However, the following will be helpful:

Basic understanding of computers
Familiarity with Excel or any programming language (optional)
Interest in data, analytics, and problem-solving

This course is designed for beginners as well as professionals who want to build strong expertise in Data Analytics from scratch.

Placement Assistance

At OnlineITvidhya, we provide complete placement support to all successful students.

Resume building and profile optimization
Mock interviews and real-time interview guidance
Job referrals through our network of hiring partners
Support until you get placed

We are connected with top companies and help you confidently step into your Data Analyst career.

Course Curriculum

Module 1: SQL Server TSQL (MS SQL) Queries

1: Data Analyst Job Roles
- Introduction to Data
- Data Analyst Job Roles
- Data Analyst Challenges
- Data and Databases Intro
2: Database Intro & Installations
- Database Types (OLTP, DWH, ..)
- DBMS: Basics
- SQL Server 2025 Installations
- SSMS Tool Installation
- Server Connections, Authentications
3: SQL Basics V1 (Commands)
- Creating Databases (GUI)
- Creating Tables, Columns (GUI)
- SQL Basics (DDL, DML, etc..)
- Creating Databases, Tables
- Data Inserts (GUI, SQL)
- Basic SELECT Querie
4: SQL Basics V2 (Commands, Operators)
- DDL : Create, Alter, Drop, Add, modify, etc..
- DML: Insert, Update, Delete, select into, etc.
- DQL: Fetch, Insert… Select, etc…
- SQL Operations: LIKE, BETWEEN, IN, etc..
- Special Operators
5: Data Types
- Integer Data Types
- Character, MAX Data Types
- Decimal & Money Data Types
- Boolean & Binary Data Types
- Date and Time Data Types
- SQL_Variant Type, Variables

Module 2: Introduction to C# 6.0

Features of C#
C# compilation and execution
General structure of a C# program
Creating and using a DLL

Module 3: Data Types and Arrays in C#

Data types in C#
Value types and reference types
Boxing and unboxing
Single-dimensional, multi-dimensional, and jagged arrays
Nullable types
Implicitly typed local variables

Module 4: OOP with C#

Classes and objects
Constructors
Structures in C#
Inheritance
Properties and indexers
The concept of function overriding
Abstract class, virtual and abstract methods, and the sealed class
Interfaces
Method parameters (out, ref, and params)
Object initializers

Module 5: Delegates, Events, and Lambdas

The concept of delegates
An example of delegates
Multicast delegates
Understanding C# events
.NET event guidelines
Anonymous method explained
Lambda expressions

Module 6: Exception Handling in C#

Exception handling in C#
The System.Exception class
Multiple catch statements
User-defined exception

Module 7: Garbage Collection in C#

Role of a garbage collector
Garbage collection algorithm
Finalize vs dispose

Module 8: Collections and Generics

System.Collections namespace
Collection interfaces
Collection classes
The Collection API
Working with generics
Generic methods, interfaces, and delegates
Collection initializers
Iterators

Module 9: IO and Serialization

Need for serialization
Formatters
Binary and SOAP serialization
Using I/O
Exploring System.IO namespace
Directory and file info types
Basic file I/O

Module 10: Assemblies, Reflection, and Attribute-based Programming

Introduction to .NET reflection
Obtaining details about types from the assembly
Obtaining details about methods, properties, and fields
Creating custom attributes
Retrieving attribute details with reflection

Module 11: Fundamentals of ASP.NET MVC 5

The ASP.NET MVC framework
ASP.NET vs. ASP.NET MVC
ASP.NET MVC model

Module 12: Exploring Controllers −

Working with controllers
Routing
Attribute routing
Action methods
Passing data from the controller to the view

Module 13: Working with Views

ASP.NET MVC Razor view engines
HTML helpers
Working with the layout

Module 14: Exploring Models and Working with Data

Model binding
Data annotation

Module 15: Entity Framework 6: Features with ASP.NET Scaffolding

The Code First model
Multiple migrations
Scaffolding

Module 16: Web Optimization with ASP.NET MVC

Web optimization
Bundling and minification
Configuring bundles

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Lifetime Access

You will be provided with lifetime access to presentations, quizzes, installation guides and notes.

Assessments

After each training module there will be a quiz to assess your learning.

24*7 Support

We have a lifetime 24*7 Online Expert Support to resolve all your Technical queries.

Forum

We have a community forum for our learners that facilitates further learning through peer interaction and knowledge sharing.

Certificate

After successfully complete your course OnlineITvidhya will give you course completion Certificate.

Mock Interviews

Explore what the real-time interviews expect from you.

They provide knowledge which is needed in the IT industry. Really thank you so much onlineITvidhya team for such valuable knowledge.

Gangadhar

Excellent teaching ! They are putting extra effort to make students’ fundamentals clear. Anyway, training was productive for me ! And for freshers’ as well.

Rajasekhar

The trainer and his way of teaching methodology is absolutely good. Hope you people can do more sessions like this to deliver job oriented courses.

Sharath

FAQs

What does a data analyst do?

A data analyst cleans, explores, analyzes, and visualizes data to identify trends and help stakeholders make decisions.

What is data cleaning?

Data cleaning means fixing or handling missing values, duplicates, inconsistent formats, invalid records, and outliers.

What is the difference between mean, median, and mode?

Mean is the arithmetic average, median is the middle value after sorting, and mode is the most frequent value.

What is a KPI?

A key performance indicator is a measurable value used to track progress toward a business objective.

What is the difference between a dashboard and a report?

A dashboard typically gives an at-a-glance view of key metrics, often interactively; a report usually presents more detailed or periodic analysis.You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.