whatsapppopupnewiconGUIDE ME
Our Association Campus Tour Fee Deposit Blogs Free Practice Exam Training Certificate Contact Us
Placements
Hiring & Resourcing
Data Analytics Course

Data Analytics Course in Noida with 100% Job Assistance

Our Data Analytics Course in Noida is designed especially for students, freshers & professionals wanting to develop solid data analytical skills & be able to implement those skill at workplace. Data Analyst Course in Noida is designed to start with fundamentals of data.

Duration: 12 - 15 Week | Mode: Live + Recorded Sessions

Data Analyst Course Demo Videos

Attend our Data Analyst Course in Noida demo session to understand how live classes are conducted before you enroll.

Our Recently Placed Students

Gita Singh

Placed at Accenture

Suman Sharma

Placed at TCS

Manoj Prasad

Placed at Deloitte

Vinod Sharma

Placed at Wipro

Pawan Kumar

Placed at IBM

Gopal Singh

Placed at Infosys

Ankit Mishra

Placed at Microsoft

Rohit Shah

Placed at Capgemini

Online Data Analytics Course in Noida

About the Data Analyst Course in Noida

The Data Analysis Course in Noida is developed to enable learners to know how data can be extracted, cleaned, analyzed, and processed to be used in making any business-related decisions. Data Analysis Course relates to handling data, cleaning raw data, comprehension of analysis logic, creation of graphics, and making reports. The Data Analyst Course in Noida with Placement is aligned with current industry requirements.

Training Highlights
  • Live classes by experienced data analysis trainers
  • Hands-on practice with real datasets
  • Industry-focused Data Analysis Training in Noida
  • Real business data and case studies
  • Job-oriented and updated course material
  • Resume building and interview preparation
  • Dedicated placement support

What You Get

  • Live instructor-led data analysis sessions
  • Practical assignments using real data
  • Real-time project experience
  • Resume and Interview guidance

Course Design & Approved By

Nasscom & Wipro

What Will You Learn in Data Analytics Course?

Our Data Analysis Course with Placement is taught step by step so learners never feel confused. Each topic is explained in simple language using real data situations. The Data Analyst Course in Noida with Placement focuses on how data is actually used in companies.

Core Modules Covered

  • Understanding data types and data source
  • Data collection methods
  • Data cleaning and preparation
  • Exploratory data analysis
  • Basic statistics for data analysis
  • Data interpretation and insights

Advanced Topics & Projects

  • Advanced Excel for data analysis
  • SQL for data extraction and analysis
  • Python basics for data analysis
  • Data visualization using Power BI
  • Live data analysis projects
  • Case studies based on real business data

Download Curriculum

Get a peek through the entire curriculum designed that ensures Placement Guidance

Course Design By

nasco wp

Course Offered By

Why Choose Data Analytics Training in Noida?

  • Training videos
  • Simple topic-wise notes
  • Real business data examples
  • Practice datasets
  • Interview and certification question

Benefits of Joining Our Data Analytics Course in Noida

  • Learn from experienced trainers
  • Work on real data projects
  • Lifetime access to LMS
  • Recorded sessions for revision
  • Live doubt-clearing sessions
  • Certification support
  • 100% placement assistance
Learners Reviews

“The interview preparation and placement support after the Data Analyst Course in Noida were genuinely helpful.”

— Shweta, Associate Data Analyst

“The recorded sessions helped me revise data concepts whenever I needed during the course.”

— Deepak Rawat, Operations Analyst

“The real projects in these Data Analyst Classes gave me the confidence to face interviews.”

— Renu Yadav, Data Analyst

“Working on live datasets and projects made this data analysis course practical and easy to follow in the Data Analysis Training in Noida.”

— Harshil Shah, Data Analyst

“The trainer explained data analysis topics in very simple words, which made it easy for me to learn as a beginner.”

— Pallavi Joshi, Data Analyst Trainee

“This Data Analyst Institute in Noida helped me understand data concepts clearly and without any confusion.”

— Saurabh Mishra, Junior Data Analyst
Data Analytics- Country-wise Job Profiles & Salary

Top Job Profiles:

  • Data Analyst
  • Junior Data Analyst
  • Business Data Analyst
  • Reporting Analyst
  • Operations Analyst

Average Salary Range:

  • INR 4 LPA - INR 7 LPA (Entry Level)
  • INR 8 LPA - INR 15 LPA (Mid Level)
  • INR 18 LPA - INR 25+ LPA (Senior Level)

Top Job Profiles:

  • Data Analyst
  • Business Data Analyst
  • Reporting Analyst
  • Operations Analyst
  • Senior Data Analyst

Average Salary Range:

  • $75,000 - $95,000 (Entry Level)
  • $100,000 - $130,000 (Mid Level)
  • $140,000 - $170,000+ (Senior Level)

Top Job Profiles:

  • Data Analyst
  • Business Data Analyst
  • Reporting Analyst
  • Operations Analyst

Average Salary Range:

  • £40,000 - £55,000 (Entry Level)
  • £60,000 - £80,000 (Mid Level)
  • £80,000 - £100,000+ (Senior Level)

Top Job Profiles:

  • Data Analyst
  • Business Data Analyst
  • Reporting Analyst
  • Operations Analyst

Average Salary Range:

  • EUR 55,000 - EUR 70,000 (Entry Level)
  • EUR 75,000 - EUR 95,000 (Mid Level)
  • EUR 100,000 - EUR 120,000+ (Senior Level)

Enroll Today

Begin your career with our Data Analyst Course in Noida. Take our Data Analytics Course in Noida to acquire the skills that are sought by top companies.

About the Trainer

Learn through Data Analytics Course in Noida from a professional trainer with more than 10 years of industry experience. The trainer has worked on real data projects and trained over 5,000+ students.

  • 10+ years of data analysis experience
  • Expert in Excel, SQL, Python, and visualization tools
  • Conducted 100+ online and corporate batches
  • Practical and project-based Data Analyst training in Noida
  • Interview and placement guidance
Frequently Asked Questions

Data cleaning, data analysis, data visualization, SQL, and Python basics are taught in this course.

Indeed. The curriculum is beginner-oriented because it begins with basic information.

Yes. The above-mentioned items, including assignments, class project work, recordings, and notes,

Yes. Certification guidance and interview preparation are provided.

The classes are live, and recorded sessions are provided for revision.

Yes. Resume building, interview preparation, and job assistance are included.

You will work with Excel, SQL, Python basics, and visualization tools like Power BI or Tableau.

Yes. The course explains how companies use data to make decisions.

Yes. Live projects and real datasets are part of the training.

Yes. Interview questions, case discussions, and project-based questions are included.

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.
Get full course syllabus in your inbox

    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
Get full course syllabus in your inbox

    Introduction to Statistics

    • Categorical Data
    • Numerical Data
    • Mean
    • Median
    • Mode
    • Outliers
    • Range
    • Interquartile range
    • Correlation
    • Standard Deviation
    • Variance
    • Box plot

    Understanding Statistics

    • Descriptive Statistics
    • Sample vs Population Statistics
    • Random variables
    • Probability distribution functions
    • Expected value
    • Normal distribution
    • Gaussian distribution
    • Z-score
    • Spread and Dispersion
    • Correlation and Co-variance

    Data Pre-Processing & Data Mining

    • Data Preparation
    • Feature Engineering
    • Feature Scaling
    • Datasets
    • Dimensionality Reduction
    • Anomaly Detection
    • Parameter Estimation
    • Data and Knowledge
    • Selected Applications in Data Mining

    EDA (Exploratory Data Analysis)

    • Need for structured exploratory data
    • EDA framework for exploring the data and identifying any problems with the data (Data Audit Report)
    • Identify missing data
    • Identify outliers data
    • Imbalanced Data Techniques
Get full course syllabus in your inbox

    Data Analysis and Visualization using Pandas.

    • Statistics
    • Pandas
Get full course syllabus in your inbox

    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

    AI Integration in SQL:

    • AI Tools:
    • Copilot in Azure Data Studio or GitHub for SQL suggestions
Get full course syllabus in your inbox

    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
Get full course syllabus in your inbox

    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
Get full course syllabus in your inbox

    Introduction to Data Preparation using Tableau Prep

    • Data Visualization
    • Business Intelligence tools
    • Introduction to Tableau
    • Tableau Architecture
    • Tableau Server Architecture
    • VizQL Fundamentals
    • Introduction to Tableau Prep
    • Tableau Prep Builder User Interface
    • Data Preparation techniques using Tableau Prep Builder tool

    Data Connection with Tableau Desktop

    • Features of Tableau Desktop
    • Connect to data from File and Database
    • Types of Connections
    • Joins and Unions
    • Data Blending
    • Tableau Desktop User Interface

    Basic Visual Analytics

    • Visual Analytics
    • Basic Charts Bar Chart, Line Chart, and Pie Chart
    • Hierarchies
    • Data Granularity
    • Highlighting
    • Sorting
    • Filtering
    • Grouping
    • Sets

    Calculations in Tableau

    • Types of Calculations
    • Built-in Functions (Number, String, Date, Logical and Aggregate)
    • Operators and Syntax Conventions
    • Table Calculations
    • Level of Detail (LOD) Calculations
    • Using R within Tableau for Calculations

    Advanced Visual Analytics

    • Parameters
    • Tool tips
    • Trend lines
    • Reference lines
    • Forecasting
    • Clustering

    Level of Detail (LOD) Expressions in Tableau

    • Count Customer by Order
    • Profit per Business Day
    • Comparative Sales
    • Profit Vs Target
    • Finding the second order date
    • Cohort Analysis

    Geographic Visualizations in Tableau

    • Introduction to Geographic Visualizations
    • Manually assigning Geographical Locations
    • Types of Maps
    • Spatial Files
    • Custom Geocoding
    • Polygon Maps
    • Web Map Services
    • Background Images

    Advanced charts in Tableau

    • Box and Whiskers Plot
    • Bullet Chart
    • Bar in Bar Chart
    • Gantt Chart
    • Waterfall Chart
    • Pareto Chart
    • Control Chart
    • Funnel Chart
    • Bump Chart
    • Step and Jump Lines
    • Word Cloud
    • Donut Chart

    Dashboards and Stories

    • Introduction to Dashboards
    • The Dashboard Interface
    • Dashboard Objects
    • Building a Dashboard
    • Dashboard Layouts and Formatting
    • Interactive Dashboards with actions
    • Designing Dashboards for devices
    • Story Points

    Get Industry Ready

    • Tableau Tips and Tricks
    • Choosing the right type of Chart
    • Format Style
    • Data Visualization best practices

    Exploring Tableau Online

    • Publishing Workbooks to Tableau Online
    • Interacting with Content on Tableau Online
    • Data Management through Tableau Catalog
    • AI-Powered features in Tableau Online (Ask Data and Explain Data)
    • Understand Scheduling
    • Managing Permissions on Tableau Online
    • Data Security with Filters in Tableau Online

    AI Integration in Tableau:

    • Ask Data: Natural Language Data Exploration
    • Explain Data: Automatic statistical insights
    • Tableau GPT (Einstein Copilot - Salesforce)
    • AI forecasting in visualizations
    • Integration with Python (TabPy) and R
Get full course syllabus in your inbox

    Capstone Project

Get full course syllabus in your inbox

+ More Lessons

Course Design By

naswipro

Nasscom & Wipro

Course Offered By

croma-orange

Croma Campus

Our Students' Projects
1768293461.webp
Cognizant – Interactive Business Dashboard Project

Scenario: Monitoring metrics

Live Work:
  • Created dashboards
  • Shared with managers

Outcome: Quick Tracking

1768293344.webp
IBM – Business Performance Analytics Project

Scenario: Measuring performance

Live Work:
  • Selected KPIs
  • Tracked performance

Outcome: Better decisions

1768293272.webp
Wipro – Automated Reporting & Dashboard Project

Scenario: Reducing manual work.

Live Work:
  • Built Excel templates
  • Automated calculations

Outcome: Saved time

1768293225.webp
Deloitte – Data Visualization & Insights Project

Scenario: Presenting insights

Live Work:
  • Built dashboards
  • Used charts
  • Presented insights

Outcome: Easy understanding

1768293139.webp
Capgemini – Python-Based Data Analysis Project

Scenario: Automating data analysis

Live Work:
  • Used Python for analysis
  • Created summaries
  • Automated reports

Outcome: Faster analysis

1768293084.webp
Accenture – Advanced SQL Data Analysis Project

Scenario: Extracting data from databases

Live Work:
  • Wrote SQL queries
  • Joined multiple tables
  • Generated reports

Outcome: Accurate data extraction

1768292750.webp
TCS – Sales Data Analysis and Reporting Project

Scenario: Understanding sales performance

Live Work:
  • Analyzed sales data in Excel
  • Identified trends and gaps
  • Created reports

Outcome: Clear sales insights

1768292637.webp
Infosys – Comprehensive Data Cleaning Project

Scenario: Preparing raw business data

Live Work:
  • Cleaned missing and incorrect data
  • Standardized data formats
  • Prepared accurate datasets

Outcome: Ready-to-use data

Recent Data Analytics Training in Noida Job Requirements
Reporting Analyst

Company: Accenture

Location: Noida

Experience: 1–3 Years

Required Skills: Creating reports in Excel, writing simple SQL queries.

Junior Data Analyst

Company: Deloitte

Location: Noida

Experience: 1–3 Years

Required Skills: Cleaning datasets, preparing reports.

Data Analyst

Company: Infosys

Location: Noida

Experience: 0–2 Years

Required Skills: Working with Excel, cleaning and organizing data.

Data Analytics Related Course

Data Analytics Course with Real-Time Projects, Tools, and Career Support

Advanced Excel Course in Noida

Master high-end spreadsheet automation: Complex formulas such as XLOOKUP/INDEX-MATCH, PivotTables, Power Query.

Tableau Training in Noida

Master advanced data visualization: Data blending, calculated fields, LOD expressions, and creating dynamic stories.

SQL Training in Noida

Gain expertise in relational database management: Complex queries, database design, performance optimization.

Power BI Course in Noida

Master the art of data storytelling and business intelligence. Data transformation, interactive dashboards.

Who Can Do the Data Analyst Course?
  • Why : An easy way to begin a career in data analysis
  • Best Modules: Data basics, Excel, understanding data
  • Job Benefit: Start working as a junior data analyst
  • Why : A good option for shifting into data and analytics roles
  • Best Fit Learning Areas: Advanced Excel, SQL, data visualization
  • Job Benefit: Get ready for data analyst and reporting roles
  • Why : A simple path into IT and data-related jobs
  • Best Modules: Data fundamentals, Excel, reporting
  • Job Benefit: Move into entry-level data analyst positions
  • Why : Helps strengthen technical roles with data skills.
  • Best Modules: SQL, Python basics, data tools
  • Job Benefit: Handle data-focused projects with more confidence.
  • Why : Helps understand business data and reports clearly
  • Best Modules: Data interpretation, dashboards, KPIs
  • Job Benefit: Make better decisions using data
Call us!
Chat With Us
×

For Voice Call

+91-971 152 6942

For Whatsapp Call & Chat

+91-9711526942
newwhatsapp
×

Call Us Now

Chat With Us
whatsapp
1
//