Can I join without a coding background?

Yes. The course is designed for beginners and does not need prior coding knowledge.

Can I join while working full-time?

Yes. We do offer classes on evenings and weekends, ideal for working professionals.

Do I get to work on live projects?

Yes. The Data Analytics Course in Vizag fully practical and includes real datasets.

What tools will I learn?

You will be trained in Excel, SQL, Python, Tableau, Power BI, and the basics of BI.

Will I get placement support?

Yes. Our Data Analytics Training Institute in Visakhapatnam offers resume help, mock interviews, and job referrals.

Can I join without a coding background?

Yes. The course is designed for beginners and does not need prior coding knowledge.

Can I join while working full-time?

Yes. We do offer classes on evenings and weekends, ideal for working professionals.

Do I get to work on live projects?

Yes. The Data Analytics Course in Vizag fully practical and includes real datasets.

What tools will I learn?

You will be trained in Excel, SQL, Python, Tableau, Power BI, and the basics of BI.

Will I get placement support?

Yes. Our Data Analytics Training Institute in Visakhapatnam offers resume help, mock interviews, and job referrals.

Data Analytics Course in Visakhapatnam ! Updated 2025

Name: Data Analytics Training Program
Item: Data Analytics Training Program
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Home /Data Analytics & BI/ Data Analytics Course in Visakhapatnam

Learn Data Analytics in Visakhapatnam with hands-on projects, tools, and skills to excel in analytics careers.

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ABOUT CURRICULUM REAL STORIES PROJECTS COURSE FEE SELF-ASSESSMENT ACTIVITIES PLACEMENTS practice tests ENROLL NOW

This course helps you learn how to work with data step by step. You start from the basics and go up. It does not matter if you are a student or a fresher. Even IT professionals can join. The Data Analytics Course in Visakhapatnam teaches you how to collect data. You learn how to clean data. You learn how to study data. You learn how to find useful results for good business plans.
Many students choose Data Analytics Training in Visakhapatnam. They want to build a good profile. They want to get better jobs. They want to earn good money. Some people also change their field. They move into analytics. This course helps them get ready for this new role. You get support and real examples. You learn skills that companies need today.

The main goal of this course is to make you confident in using data analytics tools to solve practical business problems. It is not just theory. The Data Analytics Course Online focuses on practical knowledge by giving you real-world projects to work on. You also learn how to crack data analytics interviews and pass technical rounds confidently

This Data Analysis Course will teach you how to collect, clean, study, and present data. Companies use this data to make smart choices. You will learn step by step. You will do real industry tasks. This will help you become a confident and job-ready data analyst.

How to use Excel and SQL to work with data

Using Python for data cleaning and analysis

Data visualization with Power BI and Tableau

How to interpret data using statistics

Building dashboards and reports for decision-making

Basics of business intelligence and reporting

Real-world projects to prepare you for actual company work

How data analytics helps in sectors like finance, marketing, and healthcare

This Data Analyst Placement Course Visakhapatnam helps you develop skills that companies really need, not just theory.

The Data Analytics Courses in Vizag give you live projects and practical tasks. You will not just watch videos. You will solve real problems with real data.
You will start with basic tools. Step by step, you will move to advanced reports and dashboards. Each module has tasks, exercises, and case studies. You will attend live classes. You will also get videos to revise anytime. You will keep your study material, quizzes, and tasks forever with lifetime LMS access.
You will work with tools like Excel, SQL, Python, Tableau, and Power BI. The course includes help for job placements. You will get resume help, mock interviews, and job referrals. You can pick weekday, weekend, or fast-track batches. You will finish with a capstone project. This project will use real industry data. It will show your skills to employers.
Eligibility Criteria For Data Analytics Course:
This Data Analysis Training in Visakhapatnam is open for anyone who wants a career as a data analyst. You do not need a special degree. Basic computer skills and an interest in numbers are enough.
Who Can Join This Course:
Students or freshers from B.Tech, B.Sc, B.Com, MBA, or MCA backgrounds who want a job in analytics. Working professionals in IT support, testing, or non-tech roles who want to move to analytics. Entrepreneurs who want to use data for better choices. Career switchers from sales, HR, or admin roles who wish to shift to tech jobs. Freelancers who want to offer data reports or dashboard services.

When you finish your Data Analytics Training in Visakhapatnam, many paths open for you. You can work in different roles. Some roles are Data Analyst, MIS Analyst, Business Analyst, or Reporting Executive. All companies need people who can read data well. Good data work helps companies grow.
What You Can Do After the Course:

Job: You can apply for jobs like Data Analyst, Business Analyst, or MIS Executive in many fields.

Freelancing: You can work on your own. You can make reports, build dashboards, or do small projects for clients.

Higher Studies: This course is a good base for more learning. You can go for AI, ML, or Business Analytics next.

Startups: You can use your skills to build your own service or small business. Many people now start data-based startups.

Expected Freshers Salary:
After finishing the Data Analytics Courses in Vizag, freshers can expect decent salaries if they have good practical skills.

Data Analyst: 4 to 6 LPA

MIS Analyst: 3.5 to 5.5 LPA

Junior BI Analyst: 4 to 6 LPA

Intern (Data): 12,000 to 25,000

Salary depends on:

The number of projects in your portfolio

Your command of tools like SQL, Excel, and Power BI

Your performance in technical rounds

This course not only helps you get a first job but also gives you a strong foundation for growth. With experience and further learning, you can reach senior positions in 2 to 4 years
Career Paths:

Data Analyst Senior Analyst Business Analyst Analytics Manager

Data Analyst BI Developer BI Manager

Data Analyst Data Scientist Senior Data Scientist

Extra Skills That Help You Grow:

Cloud data handling (AWS, Azure)

Advanced BI tools

Big data basics (Hadoop, Spark)

NoSQL databases

Strong portfolio with GitHub projects

In Vizag, companies now want more data analysts. They use more digital tools. They use more business intelligence. The Data Analytics Training Institute in Visakhapatnam is trusted. Many students and working people choose it. The trainers have good skills. The course is not costly. It gives real projects.

Your mentors have more than ten years of hands-on experience in the field.

You work on real projects made by experts.

You get help for your career.

You get help to write your resume.

You practice for interviews.

The group helps with job contacts.

You join a strong alumni group.

You learn top tools. Some tools are SQL, Power BI, and Python.

You get full support while you learn.

The training makes you job-ready.

This is why many people trust this course in Vizag.

Well-organized modules guide you from beginner to advanced level step by step. Each module has practical tasks so you know how to use tools in real life.

Introduction to Data Analytics

Advanced Excel for Data Analysis

SQL for Data Management

Python Basics for Analytics

Data Visualization with Tableau and Power BI

Business Intelligence Basics

Statistics for Analytics

Reporting and Dashboarding

Capstone Project with Live Data

When you complete the Data Analytics Course, you will get certificates. These show your training and skills. They make your CV stronger. They give you an edge when applying for jobs. This course will also prepare you for other top certifications. These include exams by Microsoft, IBM, or Google.

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Why Should You Learn Data Analytics?

High demand across multiple industries

Unlock insights from complex data

Boost decision-making with analytics

Attractive salaries and growth prospects

Versatile skill for any career path

Foundation for AI and machine learning

Not just learning

we train you to get hired.

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CURRICULUM & PROJECTS

Data Analytics Training Program

Introduction

What is Data Analytic

Common Terms in Data Analytics

What is data

Classication of data

Relevance in industry and need of the hour

Types of problems and business objectives in various industries

How leading companies are harnessing the power of analytics

Critical success drivers.

Overview of Data Analytics tools & their popularity.

Data Analytics Methodology & problem-solving framework.

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Understanding Concepts of Excel

Creation of Excel Sheet Data

Range Name, Format Painter

Conditional Formatting, Wrap Text, Merge & Centre

Sort, Filter, Advance Filter

Different type of Chart Creations

Auditing, (Trace Precedents, Trace Dependents)Print Area

Data Validations, Consolidate, Subtotal

What if Analysis (Data Table, Goal Seek, Scenario)

Solver, Freeze Panes

Various Simple Functions in Excel(Sum, Average, Max, Min)

Real Life Assignment work

Ms Excel Advance

Advance Data Sorting

Multi-level sorting

Restoring data to original order after performing sorting

Sort by icons

Sort by colours

Lookup Functions

Subtotal, Multi-Level Subtotal

Grouping Features

Consolidation With Several Worksheets

Filter

Printing of Raw & Column Heading on Each Page

Workbook Protection and Worksheet Protection

Specified Range Protection in Worksheet

Excel Data Analysis

Data Table

Pivot Table

Generating MIS Report In Excel

Text Functions

Lookup & Reference Function

Logical Functions & Date and Time Functions

Database Functions

Statistical Functions

Financial Functions

Functions for Calculation Depreciation

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SQL Server Fundamentals

SQL Server 2019 Installation

Service Accounts & Use, Authentication Modes & Usage, Instance Congurations

SQL Server Features & Purpose

Using Management Studio (SSMS)

Conguration Tools & SQLCMD

Conventions & Collation

SQL Server 2019 Database Design

SQL Database Architecture

Database Creation using GUI

Database Creation using T-SQL scripts

DB Design using Files and File Groups

File locations and Size parameters

Database Structure modications

SQL Tables in MS SQL Server

SQL Server Database Tables

Table creation using T-SQL Scripts

Naming Conventions for Columns

Single Row and Multi-Row Inserts

Table Aliases

Column Aliases & Usage

Table creation using Schemas

Basic INSERT

UPDATE

DELETE

SELECT queries and Schemas

Use of WHERE, IN and BETWEEN

Variants of SELECT statement

ORDER BY

GROUPING

HAVING

ROWCOUNT and CUBE Functions

Data Validation and Constraints

Table creation using Constraints

NULL and IDENTITY properties

UNIQUE KEY Constraint and NOT NULL

PRIMARY KEY Constraint & Usage

CHECK and DEFAULT Constraints

Naming Composite Primary Keys

Disabling Constraints & Other Options

Views and Row Data Security

Benets of Views in SQL Database

Views on Tables and Views

SCHEMA BINDING and ENCRYPTION

Issues with Views and ALTER TABLE

Common System Views and Metadata

Common Dynamic Management views

Working with JOINS inside views

Indexes and Query tuning

Need for Indexes & Usage

Indexing Table & View Columns

Index SCAN and SEEK

INCLUDED Indexes & Usage

Materializing Views (storage level)

Composite Indexed Columns & Keys

Indexes and Table Constraints

Primary Keys & Non-Clustered Indexes

Stored Procedures and Benets

Why to use Stored Procedures

Types of Stored Procedures

Use of Variables and parameters

SCHEMABINDING and ENCRYPTION

INPUT and OUTPUT parameters

System level Stored Procedures

Dynamic SQL and parameterization

System functions and Usage

Scalar Valued Functions

Types of Table Valued Functions

SCHEMABINDING and ENCRYPTION

System Functions and usage

Date Functions

Time Functions

String and Operational Functions

ROW_COUNT

GROUPING Functions

Triggers, cursors, memory limitations

Why to use Triggers

DML Triggers and Performance impact

INSERTED and DELETED memory tables

Data Audit operations & Sampling

Database Triggers and Server Triggers

Bulk Operations with Triggers

Cursors and Memory Limitations

Cursor declaration and Life cycle

STATIC

DYNAMIC

SCROLL Cursors

FORWARD_ONLY and LOCAL Cursors

KEYSET Cursors with Complex SPs

Transactions Management

ACID Properties and Scope

EXPLICIT Transaction types

IMPLICIT Transactions and options

AUTOCOMMIT Transaction and usage

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Introduction to Power BI

Overview of BI concepts

Why we need BI

Introduction to SSBI

SSBI Tools

Why Power BI

What is Power BI

Building Blocks of Power BI

Getting started with Power BI Desktop

Get Power BI Tools

Introduction to Tools and Terminology

Dashboard in Minutes

Interacting with your Dashboards

Sharing Dashboards and Reports

Power BI Desktop

Power BI Desktop

Extracting data from various sources

Workspaces in Power BI

Power BI Data Transformation

Data Transformation

Query Editor

Connecting Power BI Desktop to our Data Sources

Editing Rows

Understanding Append Queries

Editing Columns

Replacing Values

Formatting Data

Pivoting and Unpivoting Columns

Splitting Columns

Creating a New Group for our Queries

Introducing the Star Schema

Duplicating and Referencing Queries

Creating the Dimension Tables

Entering Data Manually

Merging Queries

Finishing the Dimension Table

Introducing the another DimensionTable

Creating an Index Column

Duplicating Columns and Extracting Information

Creating Conditional Columns

Creating the FACT Table

Performing Basic Mathematical Operations

Improving Performance and Loading Data into the Data Model

Modelling with Power BI

Introduction to Modelling

Modelling Data

Manage Data Relationship

Optimize Data Models

Cardinality and Cross Filtering

Default Summarization & Sort by

Creating Calculated Columns

Creating Measures & Quick Measures

Data Analysis Expressions (DAX)

What is DAX

Data Types in DAX

Calculation Types

Syntax, Functions, Context Options

DAX Functions

Measures in DAX

Measures and Calculated Columns

ROW Context and Filter Context in DAX

Operators in DAX - Real-time Usage

Quick Measures in DAX - Auto validations

In-Memory Processing DAX Performance

Power BI Desktop Visualisations

How to use Visual in Power BI

What Are Custom Visuals

Creating Visualisations and Colour Formatting

Setting Sort Order

Scatter & Bubble Charts & Play Axis

Tooltips and Slicers, Timeline Slicers & Sync Slicers

Cross Filtering and Highlighting

Visual, Page and Report Level Filters

Drill Down/Up

Hierarchies and Reference/Constant Lines

Tables, Matrices & Conditional Formatting

KPI's, Cards & Gauges

Map Visualizations

Custom Visuals

Managing and Arranging

Drill through and Custom Report Themes

Grouping and Binning and Selection Pane, Bookmarks & Buttons

Data Binding and Power BI Report Server

Introduction to Power BI Dashboard and Data Insights

Why Dashboard and Dashboard vs Reports

Creating Dashboards

Conguring a Dashboard Dashboard Tiles, Pinning Tiles

Power BI Q&A

Quick Insights in Power BI

Direct Connectivity

Custom Data Gateways

Exploring live connections to data with Power BI

Connecting directly to SQL Server

Connectivity with CSV & Text Files

Excel with Power BI Connect Excel to Power BI, Power BI Publisher for Excel

Content packs

Update content packs

Publishing and Sharing

Introduction and Sharing Options Overview

Publish from Power BI Desktop and Publish to Web

Share Dashboard with Power BI Service

Workspaces (Power BI Pro) and Content Packs (Power BI Pro)

Print or Save as PDF and Row Level Security (Power BI Pro)

Export Data from a Visualization

Export to PowerPoint and Sharing Options Summary

Refreshing Datasets

Understanding Data Refresh

Personal Gateway (Power BI Pro and 64-bit Windows)

Replacing a Dataset and Troubleshooting Refreshing

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Introduction To Python

Installation and Working with Python

Understanding Python variables

Python basic Operators

Understanding the Python blocks.

Python Keyword and Identiers

Python Comments, Multiline Comments.

Python Indentation

Understating the concepts of Operators

Introduction To Variables

Variables, expression condition and function

Global and Local Variables in Python

Packing and Unpacking Arguments

Type Casting in Python

Byte objects vs. string in Python

Variable Scope

Python Data Type

Declaring and using Numeric data types

Using string data type and string operations

Understanding Non-numeric data types

Understanding the concept of Casting and Boolean.

Strings

List

Tuples

Dictionary

Sets

Control Structure & Flow

Statements if, else, elif

How to use nested IF and Else in Python

Loops

Loops and Control Statements.

Jumping Statements Break, Continue, pass

Looping techniques in Python

How to use Range function in Loop

Programs for printing Patterns in Python

How to use if and else with Loop

Use of Switch Function in Loop

Elegant way of Python Iteration

Generator in Python

How to use nested Loop in Python

Use If and Else in for and While Loop

Examples of Looping with Break and Continue Statement

How to use IN or NOT IN keyword in Python Loop.

Python Function, Modules and Packages

Python Syntax

Function Call

Return Statement

Arguments in a function Required, Default, Positional, Variable-length

Write an Empty Function in Python pass statement.

Lamda/ Anonymous Function

*args and **kwargs

Help function in Python

Scope and Life Time of Variable in Python Function

Nested Loop in Python Function

Recursive Function and Its Advantage and Disadvantage

Organizing python codes using functions

Organizing python projects into modules

Importing own module as well as external modules

Understanding Packages

Random functions in python

Programming using functions, modules & external packages

Map, Filter and Reduce function with Lambda Function

More example of Python Function

List

What is List.

List Creation

List Length

List Append

List Insert

List Remove

List Append & Extend using + and Keyword

List Delete

List related Keyword in Python

List Revers

List Sorting

List having Multiple Reference

String Split to create a List

List Indexing

List Slicing

List count and Looping

List Comprehension and Nested Comprehension

Tuple

What is Tuple

Tuple Creation

Accessing Elements in Tuple

Changing a Tuple

Tuple Deletion

Tuple Count

Tuple Index

Tuple Membership

TupleBuilt in Function (Length, Sort)

Dictionary

Dict Creation

Dict Access (Accessing Dict Values)

Dict Get Method

Dict Add or Modify Elements

Dict Copy

Dict From Keys.

Dict Items

Dict Keys (Updating, Removing and Iterating)

Dict Values

Dict Comprehension

Default Dictionaries

Ordered Dictionaries

Looping Dictionaries

Dict useful methods (Pop, Pop Item, Str , Update etc.)

Sets

What is Set

Set Creation

Add element to a Set

Remove elements from a Set

PythonSet Operations

Frozen Sets

Strings

What is Set

Set Creation

Add element to a Set

Remove elements from a Set

PythonSet Operations

Python Exception Handling

Python Errors and Built-in-Exceptions

Exception handing Try, Except and Finally

Catching Exceptions in Python

Catching Specic Exception in Python

Raising Exception

Try and Finally

Python File Handling

Opening a File

Python File Modes

Closing File

Writing to a File

Reading from a File

Renaming and Deleting Files in Python

Python Directory and File Management

List Directories and Files

Making New Directory

Changing Directory

Python Database Interaction

SQL Database connection using

Creating and searching tables

Reading and Storing cong information on database

Programming using database connections

Reading an excel

Working With Excel

Reading an excel le using Python

Writing to an excel sheet using Python

Python| Reading an excel le

Python | Writing an excel le

Adjusting Rows and Column using Python

ArithmeticOperation in Excel le.

Play with Workbook, Sheets and Cells in Excel using Python

Creating and Removing Sheets

Formatting the Excel File Data

More example of Python Function

Complete Understanding of OS Module of Python

Check Dirs. (exist or not)

How to split path and extension

How to get user prole detail

Get the path of Desktop, Documents, Downloads etc.

Handle the File System Organization using OS

How to get any les and folders details using OS

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Data Analysis and Visualization using Pandas.

Statistics

Pandas

Data Analysis and Visualization using NumPy and MatPlotLib

NumPy

MatPlotLib

Introduction to Data Visualization with Seaborn

Introduction to Seaborn

Visualizing Two Quantitative Variables

Visualizing a Categorical and a Quantitative Variable

Customizing Seaborn Plots

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Capstone Project

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+ More Lessons

Course Design By

Nasscom & Wipro

Course Offered By

Croma Campus

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success

inspiration

Abhishek

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Upasana Singh

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Shashank

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Abhishek Rawat

Career Upgrade

Course Duration

100 Hrs.

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