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Next cohort Starts

7th Jan, 2025

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Program duration

11 months

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Learning Format

Live, Online, Interactive

Why Choose Our Business Analyst Course in Noida?

Noida offers abundant opportunities for aspiring business analysts due to its thriving corporate and tech ecosystem. Our Business Analyst course is meticulously crafted to prepare you for the dynamic field of data-driven decision-making.

Key Highlights of this Business Analyst Course at IISTP

What You’ll Learn in Our Business Analyst Course

This course ensures you develop a solid understanding of analytical tools and techniques:

  • Data Cleaning and Preprocessing using Python and Excel
  • Advanced Excel for data manipulation and visualization
  • SQL for Data Management
  • Data Visualization using Power BI and Tableau
  • Predictive Modeling and Forecasting

Why Choose Our Business Analyst Course in Noida?

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Access Multiple Tools

Learn to analyze data effectively using diverse advanced tools.

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Live Session

Interactive live sessions with expert guidance and real-time queries.

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Multiple Projects

Hands-on experience with multiple real-world Business Analyst projects.

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Comprehensive Curriculum

Extensive syllabus covering core and advanced Business Analyst topics.

Course Duration

Duration: 11 months (weekend and weekday batches available)

Fees: ₹60,000 (inclusive of all taxes)

Scholarships: Up to 20% for early enrollments

Small batches with only 8-10 students for better attention. Regular assessments to track your progress.

Agile Activity

Next cohort starts on 7th Jan

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Business Analyst Certification Course in Noida

IISTP offers a comprehensive Business Analyst Certification Course in Noida tailored for both beginners and professionals. Gain proficiency in tools like Excel, Python, SQL, and Power BI, and build a solid foundation in business data interpretation. Designed to meet industry demands, this course ensures you acquire practical knowledge, hands-on project experience, and the confidence to excel in your career.

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Earn Your Data Scientist Certificate

  • Check Industry-recognized certificate by IISTP
  • Check Dedicated live sessions by industry experts
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IBM Certificate

Get Ahead with IBM Advantage

  • Check Content and certificate by NASSCOM & ISO
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Business Analyst Course Curriculum Overview

What You’ll Learn in Our Business Analyst Course

Introduction of Bussiness Analyst
Advance Excel
SQL
Tableau
Power BI
Business Statistics
Agile Methodology
JIRA – Project Management Tool

Detailed course contents:

  • What is Business Analyst?
  • Scope of Business Analyst
  • Data for Business Analyst
  • Decision Models
  • Problem Solving and Decision Making

Detailed course contents:

  • Examples of Applications
  • Visual Perspective of BA
  • Impacts and Challenges
  • Database Queries and Analysis
  • Spreadsheets
  • Data Visualization
  • Dashboards to Report Key Performance Measures
  • Data and Statistical Methods
  • Data Mining (Predictive Models)
  • Illustrations
  • Charts
  • Text
  • Sum / Average / Count / Max / Min
  • Basic Text / date / time / lookup / information functions
  • Name manager
  • Formula Auditing
  • Import from web
  • Import from text
  • Text to columns
  • Remove duplicates
  • Grouping and ungrouping
  • Formulae that Add / Subtract / Multiply / Divide
  • BODMAS / Formula Error Checking
  • The Sum Function
  • The VLOOKUP/ HLOOKUP Functions
  • Creating, Formatting Simple PivotTables
  • Page Field in a PivotTable
  • Formatting a PivotTable
  • Creating / Modifying a PivotChart
  • IFs and Nested IF Functions
  • Using AND / OR / NOT Functions
  • Using The SUMIF / COUNTIF Functions
  • Using The AVERAGE / COUNT / LARGER / SMALLER Functions
  • Adding new calculated Fields / Items
  • Changing the Summary Function
  • Consolidate Pivot table
  • MATCH with VLOOKUP Functions
  • INDEX & MATCH Functions
  • OFFSET / INDIRECT functions
  • The Chart Wizard
  • Chart Types
  • Adding Title / Legends / Labels
  • Printing Charts
  • Adding Data to a Chart
  • Formatting / Renaming / Deleting
  • Data Series
  • Changing the Order of Data Series
  • If Loop and Nested IF Loop Functions
  • Using IF / ISERROR Functions
  • Using The Today
  • Now & Date Functions
  • Using The Datedif / Networkdays
  • Eomonth Functions
  • Using The Weeknum Functions
  • Using The Edate / Networkdays.Intl / Weekdays.Intl Functions
  • The Mid / Search / Left / Right Functions
  • Using The Trim / Clean / Upper/ Lower Functions
  • Using The Substitute / Text Functions
  • Using The Trim / Clean / Proper / Dollar Function
  • Input Messages / Error Alerts / Drop-Down Lists
  • Conditional Formatting
  • Extracting Records with Advanced Filter
  • Using Formulas in Criteria
  • Sorting by Top to Bottom / Left to Right
  • Creating / Deleting Custom List
  • Sort by using Custom List
  • Hyper linking data, within sheet / workbook
  • Linking & Updating links between workbooks & application
  • Importing Data from Database / Text Files / Web
  • Exporting Data
  • Changing External Data Range
  • Displaying / Removing Dependent & Precedent Arrows
  • Evaluate Formula – Step IN / Step Out
  • Creating Custom Views
  • Displaying Custom Views
  • Deleting Custom Views
  • Introduction to Databases
  • How to create a Database instance on Cloud?
  • Provision a Cloud hosted Database instance.
  • What is SQL?
  • Thinking About Your Data
  • Relational vs. Transactional Models ER Diagram
  • CREATE Table Statement and DROP tables
  • UPDATE and DELETE Statements
  • Retrieving Data with a SELECT Statement
  • Creating Temporary Tables
  • Adding Comments to SQL
  • Basics of Filtering with SQL
  • Advanced Filtering: IN, OR, and NOT
  • Using Wildcards in SQL
  • Sorting with ORDER BY
  • Math Operations
  • Aggregate Functions
  • Grouping Data with SQL
  • Using Subqueries
  • Subquery Best Practices and Considerations
  • Joining Tables
  • Cartesian (Cross) Joins
  • Inner Joins
  • Aliases and Self Joins
  • Advanced Joins: Left, Right, and Full Outer Joins
  • Unions
  • Working with Text Strings
  • Working with Date and Time Strings
  • Date and Time Strings Examples
  • Case Statements
  • Views
  • Data Governance and Profiling
  • Using SQL for Business Analyst
  • How to access databases using Python?
  • Writing code using DB-API
  • Connecting to a database using DB API
  • Create Database Credentials
  • Connecting to a database instance
  • Creating tables, loading, inserting, data and querying data
  • Analysing data with Python
  • What is Tableau?
  • What is Data Visualization?
  • Tableau Products
  • Tableau Desktop Variations
  • Tableau File Extensions
  • Data Types, Dimensions, Measures, Aggregation concept
  • Tableau Desktop Installation
  • Data Source Overview
  • Live Vs Extract
  • Overview of worksheet sections
  • Shelves
  • Bar Chart, Stacked Bar Chart
  • Discrete & Continuous Line Charts
  • Symbol Map & Filled Map
  • Text Table, Highlight Table
  • Formatting: Remove grid lines, hiding the axes, conversion of numbers to thousands, millions, Shading, Row divider, Column divider
  • Marks Card
  • What are Filters?
  • Types of Filters
  • Extract, Data Source, Context, Dimension, Measure, Quick Filters
  • Order of operation of filters
  • Cascading
  • Apply to Worksheets
  • Need for calculations
  • Types: Basic, LOD's, Table
  • Examples of Basic Calculations: Aggregate functions, Logical functions, String functions, Table calculations, Numerical functions, Date functions
  • LOD's: Examples
  • Table Calculations: Examples
  • Dual Axis
  • Combined Axis
  • Donut Chart
  • Lollipop Chart
  • KPI Cards (Simple)
  • KPI Cards (With Shape)
  • What are Groups? Purpose
  • What are Bins? Purpose
  • What are Hierarchies? Purpose
  • What are Sets? Purpose
  • What are Parameters? Purpose and examples
  • Reference Lines
  • Trend Line
  • Overview of Dashboard: Tiled Vs Floating
  • All Objects overview, Layout overview
  • Dashboard creation with formatting
  • Introduction to Power BI – Need, Importance
  • Power BI – Advantages and Scalable Options
  • Power BI Data Source Library and DW Files
  • Business Analyst Tools, MS Cloud Tools
  • Power BI Installation
  • Power BI Desktop – Installation, Usage
  • Sample Reports and Visualization Controls
  • Understanding Desktop & Mobile Editions
  • Report Rendering Options and End User Access
  • Report Design with Database Tables
  • Report Visuals, Fields, and UI Options
  • Reports with Multiple Pages and Advantages
  • Pages with Multiple Visualizations. Data Access
  • “GET DATA” Options and Report Fields, Filters
  • Report View Options: Full, Fit Page, Width Scale
  • Report Design using Databases & Queries
  • Power BI Design: Canvas, Visualizations, and Fields
  • Import Data Options with Power BI Model, Advantages
  • Data Fields and Filters with Visualizations
  • Visualization Filters, Page Filters, Report Filters
  • Creating Customized Tables with Power BI Editor
  • General Properties, Sizing, Dimensions, and Positions
  • Page Level Filters and Report Level Filters
  • Visual-Level Filters and Format Options
  • Report Fields, Formats, and Analytics
  • CHART Report Types and Properties
  • STACKED BAR CHART, STACKED COLUMN CHART
  • CLUSTERED BAR CHART, CLUSTERED COLUMN CHART
  • Field Properties
  • Formats: Legend, Axis, Data Labels, Plot Area
  • Data Labels: Visibility, Color, and Display Units
  • Analytics: Constant Line, Position, Labels
  • Map Reports: Working with Map Reports
  • Hierarchies: Grouping Multiple Report Fields
  • Advanced Query Mode @ Connection Settings – Options
  • Purpose of Data Analysis Expressions (DAX)
  • Scope of Usage with DAX. Usability Options
  • DAX Context: Row Context and Filter Context
  • DAX Entities: Calculated Columns and Measures
  • DAX Data Types: Numeric, Boolean, Variant, Currency
  • Datetime Data Type with DAX. Comparison with Excel
  • DAX Operators & Symbols. Usage. Operator Priority
  • Parenthesis, Comparison, Arithmetic, Text, Logic
  • DAX Functions and Types: Table Valued Functions
  • Filter, Aggregation and Time Intelligence Functions
  • Information Functions, Logical, Parent-Child Functions
  • Statistical and Text Functions. Formulas and Queries
  • Syntax Requirements with DAX. Differences with Excel
  • Naming Conventions and DAX Format Representation
  • Working with Special Characters in Table Names
  • Data Types, Measure of Central Tendency, Measures of Dispersion
  • Graphical Techniques, Skewness & Kurtosis, Box Plot
  • Random Variable, Probability, Probability Distribution, Normal Distribution, SND, Expected Value
  • Sampling Funnel, Sampling Variation, Central Limit Theorem, Confidence Interval
  • Introduction to Hypothesis Testing
  • Hypothesis Testing (2 proportion test, 2 t sample t test)
  • Anova and Chisquare
  • Data Cleaning (Invalid cells, Blanks, Outliers, Null values)
  • Imputation Techniques (Mean and Median)
  • Scatter Diagram
  • Correlation Analysis
  • Project Definition
  • Difference Between Traditional & Agile Project Mgmt.
  • Agile Manifesto and Principles
  • Agile Methodology
  • Agile Principles
  • Agile Frameworks and Terminology
  • Product Roadmap
  • Product Backlog
  • Story Maps
  • Agile Modeling
  • Wireframes
  • Charting
  • Iteration and Release Planning
  • Progressive Elaboration
  • Time Boxing
  • Cumulative Flow Diagram
  • Kanban Boards
  • WIP Limits
  • Burn Charts
  • What is Jira?
  • Uses of Jira
  • Jira Key Terms
  • Features of JIRA
  • JIRA Scheme
  • JIRA Projects
  • How to install JIRA
  • Creating Projects
  • Adding Users in JIRA
  • Managing JIRA dashboard and Gadgets
  • Create epics
  • Features in JIRA
  • Create user stories
  • Epic vs Feature vs user stories
  • Sprint planning
  • Start sprint
  • Sprint in JIRA

Tools and Technologies You'll Master

Business Analyst Job Opportunities in Noida

With Noida emerging as a hub for Analyst roles, job prospects in Business Analyst are soaring.

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Over 8,000+

job openings for Business Analyst in Noida.

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Top Companies

TCS, Accenture, IBM, and Infosys are actively hiring data scientists.

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Average starting salary:

₹6-8 LPA for freshers and ₹15+ LPA for experienced professionals.

What Makes Us the Best Business Analyst Institute in Noida?

Stock Price Prediction using Machine Learning

Predict future stock prices using historical data and machine learning algorithms

  • ✅ Use Python and machine learning libraries like Scikit-learn
  • ✅ Work with real-world stock data and clean it
  • ✅ Implement linear regression, decision trees, and time-series analysis
  • ✅ Train models to predict future stock movements

In Collaboration with

Finance Expert
Tools Used
Python Scikit-learn Pandas

Stock Price Prediction using Machine Learning

Predict future stock prices using historical data and machine learning algorithms

  • ✅ Use Python and machine learning libraries like Scikit-learn
  • ✅ Work with real-world stock data and clean it
  • ✅ Implement linear regression, decision trees, and time-series analysis
  • ✅ Train models to predict future stock movements

In Collaboration with

Finance Expert
Tools Used
Python Scikit-learn Pandas

Stock Price Prediction using Machine Learning

Predict future stock prices using historical data and machine learning algorithms

  • ✅ Use Python and machine learning libraries like Scikit-learn
  • ✅ Work with real-world stock data and clean it
  • ✅ Implement linear regression, decision trees, and time-series analysis
  • ✅ Train models to predict future stock movements

In Collaboration with

Finance Expert
Tools Used
Python Scikit-learn Pandas

Stock Price Prediction using Machine Learning

Predict future stock prices using historical data and machine learning algorithms

  • ✅ Use Python and machine learning libraries like Scikit-learn
  • ✅ Work with real-world stock data and clean it
  • ✅ Implement linear regression, decision trees, and time-series analysis
  • ✅ Train models to predict future stock movements

In Collaboration with

Finance Expert
Tools Used
Python Scikit-learn Pandas

Stock Price Prediction using Machine Learning

Predict future stock prices using historical data and machine learning algorithms

  • ✅ Use Python and machine learning libraries like Scikit-learn
  • ✅ Work with real-world stock data and clean it
  • ✅ Implement linear regression, decision trees, and time-series analysis
  • ✅ Train models to predict future stock movements

In Collaboration with

Finance Expert
Tools Used
Python Scikit-learn Pandas

Stock Price Prediction using Machine Learning

Predict future stock prices using historical data and machine learning algorithms

  • ✅ Use Python and machine learning libraries like Scikit-learn
  • ✅ Work with real-world stock data and clean it
  • ✅ Implement linear regression, decision trees, and time-series analysis
  • ✅ Train models to predict future stock movements

In Collaboration with

Finance Expert
Tools Used
Python Scikit-learn Pandas

Build a Career Plan with our Business Analyst Training in Noida

Fast-track your career with our comprehensive Business Analyst Course. Gain industry-relevant skills, hands-on experience, and expert guidance to excel in data analytics, machine learning, and AI. Unlock high-paying opportunities and achieve professional growth faster.

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150%

Maximum salary hike

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70%

Average salary hike

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2900+

Hiring partners

Our Alumni In Top Companies

Amazon Amity JustDial IBM Adobe Walmart Deloitte BlooHash Nasscomm AppInventiv

What Our Learners Have To Say

How to Select the Best Specialization for Your Business Analyst Course in Noida

Choosing the right specialization for your Business Analyst Course in Noida is crucial for building a successful career in this dynamic and high-demand profession. With multiple specializations tailored to specific industries and skill sets, understanding your options will help you align your learning path with your career goals. Below are some essential points to guide you in selecting the best specialization for your needs:

1. Understand the Scope of Business Analyst Specializations

The field of business analysis offers diverse specializations that cater to various industries and roles. Some popular options include:

  • IT Business Analysis: Ideal for professionals focused on bridging the gap between IT teams and business needs.
  • Agile Business Analysis: Best suited for those working in Agile environments, focusing on iterative development and stakeholder collaboration.
  • Healthcare Business Analysis: Tailored for professionals aiming to improve healthcare services through effective process and data analysis.
  • Financial Business Analysis: Focuses on financial modeling, budgeting, and improving financial systems for businesses.
  • Data-Driven Business Analysis: Centers around leveraging data analyst tools to drive business decisions.

Research these specializations thoroughly to understand their tools, methodologies, and industry relevance.

2. Align with Your Career Goals

Define your career aspirations to identify the specialization that aligns with your professional goals:

  • Interested in technology-driven solutions? Choose IT Business Analysis.
  • Want to work in Agile development teams? Opt for Agile Business Analysis.
  • Passionate about improving healthcare services? Consider Healthcare Business Analysis.
  • Prefer roles in financial strategy and analysis? Explore Financial Business Analysis.
  • Enjoy data interpretation and insights? Data-Driven Business Analysis is your best fit.

Clear career goals will serve as a guide to the most suitable specialization.

3. Evaluate Your Skills and Interests

Your existing skills and interests should complement the specialization you choose:

  • Enjoy problem-solving and communication? IT or Agile Business Analysis could be ideal.
  • Strong in financial management? Financial Business Analysis may be the right choice.
  • Passionate about improving operational workflows? Healthcare Business Analysis might suit you.
  • Proficient with data tools like SQL, Excel, or Tableau? Data-Driven Business Analysis can leverage these skills.

Assess your current abilities and align them with your passion for specific industries or tasks.

4. Review the Curriculum Offered by Business Analyst Institutes in Noida

Ensure the curriculum of your chosen Business Analyst Institute in Noida includes:

  • Comprehensive foundational and advanced topics in business analysis.
  • Practical training on industry tools like JIRA, Visio, Tableau, SQL, and Agile frameworks.
  • Hands-on experience with real-world projects and case studies.
  • Certification support such as CBAP, CCBA, or Agile BA.

Practical exposure and certification readiness are essential for standing out in the job market.

5. Stay Updated with Market Trends

The business analysis field evolves with emerging practices and tools. Look for a course that includes:

  • Agile and Scrum methodologies for modern project management.
  • Techniques for data visualization and analysis.
  • Best practices in stakeholder communication and requirement gathering.
  • Updates on AI, RPA (Robotic Process Automation), and their integration in business analysis.

Staying informed about these trends ensures you remain competitive in the industry.

6. Seek Expert Guidance

Consult with experienced business analysts, alumni from leading Business Analyst Institutes in Noida, and career mentors. Their insights can help you identify the right specialization and institute.

7. Prioritize Accreditation and Certification

A recognized certification from a reputed Business Analyst Institute in Noida significantly enhances your professional credibility. Ensure the course is accredited and aligned with industry standards.

Final thought

Selecting the right specialization in business analysis is a key step toward a rewarding career. By aligning your skills, interests, and goals with industry trends, you can achieve long-term success.

If you’re ready to take the first step toward becoming a successful business analyst, explore our Business Analyst Courses in Noida today. With expert mentorship, real-world training, and industry-recognized certifications, we provide the tools you need to thrive in this competitive field. Let us help you shape your future!

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Career Services

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Program Benefits

  • Masterclasses delivered by Purdue faculty and staff and IBM
  • Business Analyst and GenAI program completion certificate
  • Exposure to ChatGPT, GenAI, prompt engineering, and more
  • Alumni Association Membership from Purdue University
  • Simplilearn’s Career Assistance post program completion

F.A.Q

1. What is the eligibility for this course?

Graduates in any discipline with basic programming knowledge can apply. Even working professionals looking to switch careers can join.

3. Is this course suitable for beginners?

Absolutely! Our Business Analyst Course in Noida starts with the basics and gradually moves to advanced topics, making it ideal for beginners and professionals alike.

5. Do you offer placement assistance?

Yes, we at IISTP provide 100% placement support, including resume building, mock interviews, and job referrals to top companies.

7. What is the mode of training?

We offer both online and classroom training. You can choose whichever suits your schedule best.

9. What tools and technologies will I learn in this course?

You’ll gain hands-on experience with tools like Python, R, SQL, Tableau, Power BI, and machine learning frameworks like TensorFlow and Scikit-learn.

11. What are the class timings?

We offer flexible batch timings, including weekday and weekend options, to cater to both students and working professionals.

13. Will I get a certificate after completing the course?

Yes, you will receive an industry-recognized certificate upon successfully completing the course.

15. What kind of projects will I work on?

You will work on real-world projects like predictive analytics, recommendation systems, sentiment analysis, and more, using actual datasets.

17. Is there a demo class available?

Yes, we offer a free demo class to help you understand the course structure and teaching methodology.

19. Are there any scholarships or discounts available?

Yes, we offer scholarships and early-bird discounts of up to 20% for eligible candidates.

2. What career roles can I expect after completing this course?

You can pursue roles such as Data Scientist, Data Analyst, Machine Learning Engineer, Business Analyst, or AI Specialist.

4. Do I need prior programming knowledge to join?

Basic programming knowledge is helpful but not mandatory. We provide foundational programming sessions as part of the course.

6. How can I enroll in the course?

You can enroll by filling out the online registration form or visiting our Noida center. For assistance, contact our support team.

8. What happens if I miss a class?

All sessions are recorded, and you’ll have access to the recordings, so you can revisit any missed classes.

10. Can I switch batches if needed?

Yes, batch switching is allowed based on availability and your convenience.

12. Is this course aligned with industry standards?

Absolutely! Our curriculum is updated regularly to align with the latest industry trends and demands.

14. What is the average salary of a Data Scientist in Noida?

The average starting salary for a Data Scientist in Noida is ₹6-8 LPA, with experienced professionals earning ₹15+ LPA.

16. Can I pay the fees in installments?

Yes, we offer EMI options to make it easier for you to afford the course.

18 How do I know if Business Analyst is the right career for me?

If you enjoy solving problems, working with data, and learning new technologies, Data Science could be a perfect fit. Our counselors can help you decide during a free consultation.

20. Will I receive career guidance during the course?

Yes, we provide career counseling, resume preparation, mock interviews, and placement assistance to ensure you are job-ready.