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Data Analyst Course in Pitampura – Your Path To a High-Demand Career

At NICE IT Services, our Data Analyst Course in Pitampura is designed for anyone looking to unlock the power of data and step into a rewarding role in business intelligence, analytics, or data visualization. This isn’t just training—it’s a career-focused program at a leading Data Analytics Training Institute in Pitampura, where you’ll learn in a real-world environment and gain the practical skills employers are looking for.

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Total 6 Modules ( Click For Details )

MODULE 1 : PYTHON PROGRAMMING

1. Introduction

History
Features Setting up path
Working with Python Basic Syntax
Variable & Data Types
Operators (Arithmetic, Relational,Membership, Bitwise etc.)
Punctuators, Indentation, Comments

2. Conditional Statements

If
If- else
If-elif
Nested if-else

3. Iterative Statements (Looping)

For
While
Loop else statement
Nested loops

4. Control Statements

Break
Continue
Pass

5. String Manipulation

Accessing Strings
Basic Operations
String slices
Function and Methods

6. Lists

Introduction
Creating List
Accessing list
List Operations
Function and Methods
Working with lists (List Programs)

7. Tuple

Introduction.
Accessing Tuples.
Operations.
Working.
Functions and Methods.

8. Dictionaries

Introduction (Key: Values)
Accessing values/elements
Dictionaries Properties
Functions and Methods

9. Sorting & Searching Concepts

What is Sorting
Bubble Sort
Insertion Sort
Binary Search

10. Functions

Defining a function
Calling a function
Types of functions
Function Arguments
Scope of Variables
- Global and local variables
Returning Values from function

11. Python Libraries/ Packages/ Modules

Python standard libraries
Structure of a module
Importing module
Math module
Random module
Urlib and WebBrowser modules
Packages
Creating a Python Library/package(s)
Importing Python Libraries

12. Input-Output (File Handling)

Data Files (Text and Binary Files)
Opening/Closing a File
Reading data from File
Writing data in a file from keyboard
Printing on screen
File Handling Functions
Standard Input, Output and Error streams

13. Exceptional Handling

Exception
Exception Handling Except clause
Try ? Finally clause

14. Regular Expression

Pattern Matching
Meta Characters for making patterns
match(), sub(), findall(), search(), split()method

MODULE 2 : ADVANCED EXCEL

1. Basic Excel

Workbook, Worksheet, Workspaces
Row & Column Settings
Calculation Basics in Excel
References (Relative, Absolute, Mixed)
Find & Replacing Data
Header & Footer setting
Working with Chart
Functions (Financial, Statistical etc.)
Formulas (DSUM, DMAX, DMIN, DCOUNT)
If And Analysis, What if Analysis
Goal Seek, Solver, Scenarios
Naming Cell Range
Protecting sheet & workbook Autofill, Autocorrect, Autoformat

2. Data Analysis In Excel (Advance Excel)

Importing and Exporting Data
Auditing, Freeze Panes
Grouping and Subtotal
Macro (recording tool)/EDITING
Customizing Sheet/Cells /Rows/Columns
Customizing Excel Window
Sorting and Filtering Data, Advance Filter
Data Validation
Pivot Table, Pivot Chart
Consolidation of Sheets
H Lookup, V Lookup, X Lookup
Creating Reports, Marks sheet etc
Loan Sheet Preparation (PPMT, IPMT, PMT)
RD CALCULATION
Printing Worksheet, Custom List
Working with Excel CSV files
Making Excel to PDF file

MODULE 3 : DATABASE (MYSQL)

DATABASE MGMT. SYSTEM (DBMS)
DBMS TERMINOLOGIES
RELATIONAL DATABASE
Introduction to SQL/MySQL
SQL DATA TYPES
INTEGRITY CONSTRAINTS
CREATING TABLES BASED ON INTEGRITY CONSTRAINTS
ALTERING TABLE
- ADDING NEW FIELDS
- CHANGING EXISTING FIELDS
INSERT, UPDATE, DELETE
SELECT COMMAND
WHERE (RETRIEVAL OF SPECIFIC ROWS)
WORKING WITH EXPRESSIONS
CHECKING MULTIPLE CONDITIONS (AND, OR, NOT OPERATOR)
EXISTS, NOT EXISTS
BETWEEN, NOT BETWEEN

ARRANGING RECORD (ORDER

DISTINCT CLAUSE
WORKING WITH NULL VALUES
SQL FUNCTIONS
- AGGREGATE FUNCTIONS
- ARITHMETIC FUNCTIONS
- CHARACTER/STRING FUNCTIONS
- DATE FUNCTIONS
GROUPING RESULTS (GROUP BY)
PLACING CONDITIONS ON GROUPS (HAVING CLAUSE)
TABLE ALIASES
JOINS
- MULTI-TABLE JOINS
- EQUI JOIN
- CARTESIAN JOIN
- OUTER JOINS
- UNIONS IN SQL
CUSTOMISING TABLE
CREATING TABLE FROM OTHER TABLE
CREATING DUPLICATE TABLE
RENAMING A TABLE
INDEXES IN SQL
TRIGGER

MODULE 4 : DATA ANALYTICS WITH PYTHON

1. Getting Started With Python Libraries

What is data analysis?
Why python for data analysis?
Essential Python Libraries
Installation on and setup
Ipython
Jupyter Notebook

2. Python Arrays (NumPy)

Pandas Series
Pandas Dataframes (2-Dimensional)
Data aggregation with pandas
Data Indexing and selection
Operation on Data in Pandas
loc and iloc map
apply,apply_map, group_by
Querying data in pandas
Dealing with dates
Reading and Writing to CSV fi les with pandas
Reading and Writing to SQL with pandas
Reading and Writing to HTML files with panda

# Data Visualization

3. Python Matplotlib

Matplotlib Pyplot
Matplotlib Plotting
Matplotlib Markers
Matplotlib Line
Matplotlib Scatter
Matplotlib Bars
Matplotlib Pie Charts

4. Introduction oF Seaborn

Categorical Plots, Bar Plots, Box Plots
Heatmaps Plots, Pair Plots
Regression Plots
Style and Color

5. Plotly – Python Plotting

Introduc on to Plotly – Python Plotting, Plotly

6. Geographical Plotting

Introduction to Geographical plotting
Choropleth Maps

7. Database Connectivity With MySQL

MySQL Operations
Database Connection
Creating New Database
Creating Tables
Inserting Records in Table
Fetching Records from Database Using Python
Read Operation using Select, Where,
OrderBy etc
Update Operations
Join Operations
Performing Transactions

MODULE 5 : STATISTICS, PROBABILITY & BUSINESS ANALYTICS

1. Overview oF Statics

Data types and their measures
Arithmetic Mean, Harmonic Mean, Geometric Mean
Meadian, Mode, Variance, Standard Deviation
Quartile: First quartile, Second quartile, Third quartile, IQR

2. Probability Distribution

Introduction of probability, Conditional probability
Normal distribution, Uniform distribution , Frequency distribution, Central limit theorem

MODULE 6 : POWER BI

1. Power BI

Introduction to Power BI, Uses Of Power Bi, The Flow Of Work In Power Bi,
Working With Power Bi, Basic Components Of Power Bi
Comparison Of Power Bi Version, Data Model And Importance Of Data Modeling
Data Sources: How to connect and import data from different sources (Excel etc)

2. Power BI Desktop and Data Transformation

Data Sources in Power BI Desktop, Loading Data in Power BI Desktop, Views in Power BI Desktop
Query Editor In Power BI
Transform, Clean, Shape, and Model Data
Manage Data Relationship, Editing a Relationship
Cross Filter Direction, Saving Workfile, Measures

3. Data Analysis Expression (DAX)

Introduction and Importance to DAX, Data Types in DAX
DAX Calculation Types, Steps to Create Calculated Columns
Measures in DAX, DAX Syntax, DAX Functions, DAX Operators, DAX Tables and Filtering

4. Data Visualization

Introduction to Visuals In Power BI, Visualization Charts in Power BI
Matrixes and Tables, Slicers and Map Visualizations
Gauges and Single Number Cards, Modifying Colors in Charts And Visuals
Shapes, Text Boxes, and Images, Custom Visuals
Page Layout and Formatting, Bookmarks and Selection Pane, KPI Visuals, Z-order, Grouping and Binding

5. Power BI Service

Introduction to Power BI Service
Creating a Dashboard, Configuring a Dashboard, Quick Insights in Power BI
Power BI Q&A, Ask Questions about your Data
Power BI Embedded, Bookmarks and buttons
Creating Reports and Dashboards: Building reports by combining visualizations into a cohesive layout and creating interactive dashboards for data exploration

What is Data Analysis Course

The Data Analysis through Python course focuses on leveraging Python for efficient data analysis and visualization. It begins with Python basics, including data types, functions, and libraries. The curriculum covers key data analysis libraries such as NumPy for numerical computations, Pandas for data manipulation, and Matplotlib/Seaborn for creating insightful visualizations. Students learn to clean, transform, and analyze datasets, perform statistical operations, and interpret results.

Why Choose Our Data Analytics Training Institute in Pitampura

In today’s digital world, data drives decisions. Businesses of all sizes need professionals who can interpret data, tell stories with numbers, and deliver insights that matter. At NICE IT Services, we understand that demand—and we address it directly.

Our trainers are industry practitioners who bring actual case studies to class.
Classes combine theory and practice so you’re not just listening—you’re doing.
We keep batch sizes small and provide one-on-one doubt sessions to ensure you keep pace
Located in Pitampura, our institute is easily accessible for students across Delhi and beyond.
Choosing the right place to study makes all the difference—and as the best Data Analytics Training Institute in Pitampura, we commit to results.

Career Opportunities After Completing The Course

Completing the Data Analyst Course in Pitampura from Nice IT Services opens the door to multiple career opportunities across diverse industries. As one of the leading Data Analytics Training Institutes in Pitampura, we prepare our students for both entry-level and advanced analytical roles that are in high demand today.

1. Data Analyst

As a Data Analyst, you’ll collect, process, and interpret data to help businesses make better decisions. You’ll work with tools like Excel, SQL, Power BI, and Python to transform raw data into actionable insights. Data Analysts are highly valued in every industry — from finance and marketing to retail and healthcare.

2. Business Analyst

If you’re interested in understanding how data influences business strategy, the role of a Business Analyst may be perfect for you. This job focuses on identifying trends, creating reports, and recommending solutions that improve company performance. The course gives you the analytical thinking and communication skills needed to excel in this role.

3. Data Visualization Specialist

Data is powerful only when it’s understood. As a Data Visualization Specialist, you’ll use tools like Power BI, Tableau, and Excel to create dashboards and reports that help non-technical stakeholders grasp complex information at a glance. This creative and technical blend is one of the fastest-growing roles in analytics.

4. MIS Executive / Reporting Analyst

Management Information Systems (MIS) Executives handle daily reports, maintain databases, and monitor KPIs for organizations. After completing this Data Analyst Course in Pitampura, you’ll be ready to handle data-driven reporting and support business operations with real-time insights.

5. Junior Data Scientist (Entry-Level)

For students interested in advancing further, this course lays the foundation for a data science career. With strong knowledge of Python, statistics, and visualization tools, you can step into junior-level data science roles and later specialize in machine learning or predictive analytics.

6. Data Consultant / BI Developer

Many businesses now hire consultants to set up data systems and business intelligence dashboards. With the skills learned at our Data Analytics Training Institute in Pitampura, you can work as an independent consultant or with analytics firms helping clients design data strategies and dashboards.

Industries That Hire Data Analysts

The demand for skilled data professionals continues to grow rapidly. Graduates can find employment opportunities in:

Finance & Banking: Risk analysis, financial reporting, and fraud detection
Healthcare: Patient data management and medical research analytics
Retail & E-commerce: Customer behavior analysis and inventory optimization
Marketing & Advertising: Campaign performance and digital insights
IT & Technology: Product usage analysis and software performance tracking

How Our Placement Support Works

1. Resume & Portfolio Building:

Learn how to create a professional resume and portfolio that highlights your technical expertise in Excel, SQL, Python, Power BI, and Tableau

2. Mock Interviews & Skill Assessments:

Practice real-world interview scenarios with our trainers and mentors. You’ll receive personalized feedback to improve communication, confidence, and analytical thinking.

3. Job Referrals & Industry Tie-Ups:

NICE IT Services has collaborations with multiple companies, startups, and analytics firms. Our team actively refers qualified students for entry-level roles in data analytics, business intelligence, and reporting.

4. Career Counseling Sessions:

Our mentors guide you in choosing the right career path — whether it’s Data Analysis, Business Analytics, or Visualization — based on your strengths and professional goals.

5. Internship Opportunities:

Get practical work experience through internship programs that help you apply your classroom learning to live projects, making you job-ready from day one.

Placement Assistance by NICE IT Services for Data Analytics Course in Pitampura

Our Data Analyst course in Pitampura comes with placement assistance, designed to help every student confidently step into the professional world of data analytics.

Our goal is simple – to bridge the gap between classroom learning and career success. Once you complete your training, our placement team works closely with you to connect you with hiring companies across various industries, ensuring you get the best start to your analytics career.

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Data Analyst Course in Pitampura – Your Path To a High-Demand Career

Data Analyst Course in Pitampura – Your Path To a High-Demand Career

Enquire Now

Total 6 Modules ( Click For Details )

What is Data Analysis Course

Why Choose Our Data Analytics Training Institute in Pitampura