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Business Analyst Course

This Business Analysis course equips learners with the essential skills required to analyze, visualize, and interpret business data, enabling data-driven decision-making. The course covers business analysis fundamentals, Microsoft Excel, SQL, data visualization, AI tools, Python, and statistics, preparing students for roles in business intelligence, data analytics, and financial analysis.

Course Highlights

1.

Introduction to Business Analysis

2.

Microsoft Excel for Business Analysis

3.

Google Sheets

4.

Artificial Intelligence for Business Analysts

5.

SQL for Data Analysis

6.

Data Visualization (Google Looker Studio, Power BI)

7.

Interactive PowerPoint Presentations

8.

Python for Business Analysis

9.

Business Statistics

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Learning Outcome

Understand the fundamentals of business analysis and the role of a Business Analyst.
Gain expertise in Microsoft Excel, Google Sheets, and SQL for data management and analysis.
Develop proficiency in data visualization using Power BI and Google Looker Studio.
Create interactive PowerPoint presentations to present insights effectively.
  Read More
Learn Python programming for data handling and automation.
Explore Artificial Intelligence (AI) tools for business insights and predictive analytics.
Master business statistics for data-driven decision-making.
  Read Less

Software that you will learn in this course

Course Content

1)    Introduction to Business Analysis

    •     Overview of Business Analysis
    •     Role and Responsibilities of a Business Analyst
    •     Key Concepts and Terminologies
    •     Introduction to Data-Driven Decision Making

2)    Microsoft Excel for Business Analysis

1. Basics of Excel
    •     Excel Interface and Basic Navigation
    •     Data Entry and Formatting
    •     Basic Formulas and Functions
    •     Data Sorting and Filtering
    •     Data Validation and Conditional Formatting
2. Advanced Excel
    •     Complex Formulas and Functions (VLOOKUP, HLOOKUP, INDEX, MATCH, etc.)
    •     Pivot Tables and Pivot Charts
    •     Data Analysis using Excel
    •     Advanced Data Validation Techniques
    •     Macros and VBA for Automation
    •     Scenario Analysis, Goal Seek, and Solver
    •     Handling Large Data Sets Office 365

3)    Google Sheets

    •    Introduction to Google Sheets
    •    Basic Features and Functions
    •    Data Analysis Tools in Google Sheets
    •    Advanced Formulas and Functions
    •    Pivot Tables and Charts in Google Sheets
    •    Automation with Google Apps Script

4)    Artificial Intelligence (AI) for Business Analysts

    •     Introduction to AI in Business
    •     Overview of AI Tools and Techniques (julius ai / chat gpt)
    •     AI for Business Analysis and Insights
    •     AI-driven Data Cleaning and Preparation
    •     Predictive Analytics with AI
    •     Ethical Considerations in AI
    •     Excel with AI

6)    SQL

    •     Introduction To SQL
    •    

Clauses in SQL

  • Select
  • From
  • Where
  • Distinct
  • Group by
  • Having
  • Order by
    •    

SQL Statements:

  • DDL (create, alter, drop, truncate)
  • DQL (select, clauses)
  • DML (Insert, update, delete)
  • DCL intro (grant, revoke)
  • TCL intro (Commit, Rollback)
    •    

SQL Advance:

  • SQL functions
  • Joins
  • Subqueries
  • Subqueries

7)    Data Visualization

Google Looker Studio (Formerly Google Data Studio)
    •     Connecting with Data Source
    •     Google Data Studio Interface
    •     Create Table Visualization
    •     Create Pivot Table Visualization
    •     Custom Visualization in Google Data Studio
    •     Creating and Sharing Dashboards
    •     Blended Data in Google Data Studio

Microsoft Power BI
    •     Introduction to Power BI
    •     Data Connectivity & Transformation
    •     Data Modeling & DAX (Data Analysis Expressions)
    •     Data Visualization & Interactive Reports
    •     Reports & Dashboards Development
    •     Business Intelligence & Data Analysis
    •     Sharing

Power query
Dashboard Creation

8)    Interactive PowerPoint Presentations

Introduction to PowerPoint for Business Presentations
    •    PowerPoint Interface Overview
    •    Slide Layouts and Design Basics
    •    Using Templates and Themes

Advanced PowerPoint Techniques
    •    Charts, Graphs, and Diagrams
    •    Embedding Excel Data and Multimedia
    •    Interactive Menus, Hyperlinks, and Action Buttons

Storytelling with PowerPoint
    •    Structuring a Narrative
    •    Balancing Data with Story
    •    Effective Use of Animations and Transitions

Presentation Best Practices
    •    Tailoring for Different Audiences
    •    Delivery Techniques and Handling Q&A

Case Studies and Practical Exercises
    •    Real-world Presentation Examples
    •    Hands-on Creation of an Interactive Presentation

9)    Python

Basics of python
    •    Data type
    •    Flow control statements
    •    Operators
    •    Data structure ( list , string , tuple, sets , dict)
    •    Functions and types
    •    Pandas, Matplotlib

10)    Statistics

Introduction to Business Statistics
    •    Definition and Importance
    •    Role of Statistics in Business Decision-Making
    •    Types of Data: Qualitative vs. Quantitative

Measure of central tendency
    •    Mean
    •    Median
    •    Mode
    •    use case

Measure of variability
    •    Variance
    •    Covariance
    •    Standard Deviation
    •    Inter Quartile Range

Probability

Correlation

Jobs and Career Opportunity After Completing Business Analyst Course

After completing this course, learners can pursue careers in data analytics, business intelligence, financial analysis, and business process optimization across industries like IT, finance, healthcare, consulting, and e-commerce. The demand for professionals skilled in data analysis, SQL, AI, and visualization tools is rapidly growing, making this an ideal career path for individuals interested in data-driven decision-making and business strategy.

Job profile

After completing this course

Average salary

( 1+ year experience)

Business Analyst 3L-5L
Data Analyst 1.5L- 4L
Data Engineer 3L- 10L
Data Scientist 4L- 15L
Data Architect 14L- 25L
Database Administrator 3L- 9L

Features & Facilities



Student Reviews

ifda student review
Rahul Yadav
Student
Google Review 

I'm currently enrolled in the Data Analyst course at IFDA Institute, and it's been an excellent experience. The curriculum is comprehensive and well-structured, covering essential topics like data visualization, statistical analysis, and SQL. The knowledgeable trainers provide real-world insights, making learning practical and engaging, and they offer valuable support for understanding complex concepts. The top-notch study materials, including video lectures, reading materials, and hands-on projects, have been particularly beneficial. Overall, I highly recommend IFDA Institute for its expert trainers, quality content, and supportive environment.

ifda student review
Rohit Vats
Student
Google Review 

Hi, I am Rohit Vats I recently completed the Business Analyst course, and it’s been an eye-opener! As a student aiming to enter the data and business strategy field, this course gave me a solid foundation in both technical and analytical skills.

ifda student review
Jagat Singh
Student
Google Review 

It is great opportunity for me that I'm enrolled in ifda institute as a data analyst learner as this institute has alot of good experience and valuable experienced faculty and they provide a valuable skills and great knowledge to learner.


Frequently Asked Questions

IFDA believes in offering assistance to its students. Therefore we aid our outperforming students with in-house internships. Students with determination and hard work can also earn an internship from the collaborating companies of IFDA.

We believe that school education is the prime experience, and a student should focus solely on it during their school life. However, if you have the ability to juggle your school hours and training hours we will offer you flexible schedules.

Most business analysis programs do not have specific entry requirements. Nevertheless, a background in business, information technology, or similar areas may prove beneficial.

This course duration is 6 Months.

The salary range for a business analyst depends on multiple factors, such as experience, location, and industry. The median income of business analysts ranges from 6.8LPA to 8LPA annually, while experienced practitioners can command much more (between 6.10LPA and 12LPA).

Begin by enrolling in a business analyst course to learn the required skills. Then, seek starting-level positions in organizations that match your career aspirations. Additionally, networking events and internships may also be helpful for opening doors.

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