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Master In Data Analyst And Visualisation Course

The Master’s in Data Analysis Course is a comprehensive program designed to equip learners with essential data analytics skills, including data visualization, business intelligence, programming, statistics, and advanced Excel techniques. The course provides hands-on training in tools such as Power BI, Tableau, SQL, Python, R, Google Sheets, and Excel VBA, along with AI-powered MS Office applications and Google Looker Studio for dashboard creation. With real-world capstone projects, learners will gain practical experience in analyzing data for decision-making in various domains like finance, sales, and inventory management.

Course Highlights

1.	Advance Excel
2.	Power Query
3.	Excel VBA
4.	Google Sheets
5.	Office 365
6.	MS Office with AI
7.	Google Looker Studio

8.	Power BI
9.	Tableau
10.	Python
11.	R Programming
12.	SQL
13.	Statistics & Probability
14.	Capstone Projects

Learning Outcome

•	Master Excel, Google Sheets, and Power Query for data manipulation and visualization.
•	Gain expertise in Power BI and Tableau for business intelligence and dashboard creation.
•	Develop programming skills in Python and R for data analysis and automation.
•	Learn SQL for data extraction, querying, and database management.
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•	Understand statistics and probability to derive meaningful insights from data.
•	Build interactive dashboards and reports using Google Looker Studio.
•	Work on real-world projects to apply learned concepts in practical scenarios.
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Tools that you will learn in this course

Course Content

1) Advance Excel

•	Excel Basics & Formatting
•	Introduction to MS Excel
•	Formatting Cell and Workbook
•	Page Setup
•	Data Handling & Manipulation
•	Sorting and Filtering data
•	Text to Column
•	Conditional formatting
•	Number formatting
•	Advanced Formulas & Functions
•	Mathematical Formulas
•	Date & Time Functions
•	Logical Functions
•	Text Functions
•	Lookup Functions

2) Power Query

•	Introduction of Power Query in Excel
•	Installation of Power Query
•	Data connections
•	Data Cleaning
• Data Transformation: - Append/Merge
•	Add Columns (Custom and conditional)
•	Loading data (load and load to)

3) Excel VBA

•	Understanding of VBA and Macro
•	Variables & Data Types in VBA
•	Logical statements (if, else if, else, switch)
•	Operators
•	Loops in VBA
•	Error Handling
•	Message and Input Box in VBA
•	Working with worksheets in VBA

4) Google Sheets

•	Introductions to Google Sheets
•	Import and export Data with Google sheet
•	Sorting and Filtering data
•	Create Filter views and clean data in Google Sheet
•	Lookup Functions Vlookup, Xlookup, Filter
•	Summarization Functions like SUM, COUNT, SUMIFS, COUNTIFS
•	IF and IFS functions
•	Advance Functions: - (Split, Import HTML, Import Range, Google Translate)
•	Spark Lines
•	Smart Chips

5) Office 365

•	Improved Productivity
•	Improved Data Analysis
•	XLOOKUP in Office 365
•	XMATCH in Office 365
•	Making a Searchable Drop-Down List In Office 365
•	Map Chart in Office 365
•	Dynamic Conditional Formatting
•	Excel Sequence and Random Array Formula in Office 365
•	Data Visualization

6) Ms-Office with AI

•	Intelligent Assistance
•	Time-saving Automation
•	Improved Communication
•	Intelligent Data Analysis
•	Customized Solutions
•	Improved Productivity
•	Improved Accuracy
•	Adaptive Learning
•	Empowered Creativity
•	Future-oriented Skills

7) Google Looker 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

8) 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

9) Tableau

•	Intro to Tableau Tool
•	Panes in Tableau
•	Shelves
•	Groups, Parameters
•	Filters in Tableau
•	Calculated Fields
•	Data Blending, Joins and Unions
•	Charts in Tableau
•	Map Chart in Tableau
•	Creating a Dashboard and Story
•	Tableau Public
•	Publish in Tableau Server

10) Python

•	Introduction To Python
•	Python Language Fundamentals
•	Python Variables
•	Operators
•	Input & Output functions
•	Data Types And Structures In Python
•	String
•	List
•	Tuple
•	Set
•	Dictionary
•	Control statements Logical control statement (if, elif, else) Flow control statements (For, while)
•	Functional programming User defined Built-In

11) R Programming

•	Introduction to R Programming
•	Variable and Operators
•	Conditional statements
•	Loops in R
•	Functions
•	Data Structures (Array, List, Matrix, Data Frame, Vector)
•	Plots

12) 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
Windows

13) Statistics & Probability

•	Measures of Central Tendency (Mean, Median, Mode)
•	Measures of Dispersion (Range, Variance, Standard Deviation)
•	Skewness and Kurtosis
•	Percentiles and Quartiles
•	Boxplots and Outlier Detection
•	Basic Probability Concepts (Sample Space, Events, Conditional Probability)
•	Random Variables (Discrete & Continuous)
•	Probability Distributions (Normal, Binomial, Poisson, etc.)
•	Central limit theorem
•	Sampling Methods (Random, Stratified, Cluster, Systematic)
•	Confidence Intervals
•	Correlation Coefficient (Pearson, Spearman)

14) Capstone Project - (any 2)

Sales Analysis

Churn Analysis

Finance Analysis

Inventory Management

Jobs and Career Opportunity After Completing Course

After completing this course you will get many job and career opportunities easily in the computer and IT field like e-commerce, government organizations, and security companies. You can start your early earnings with this course because there is no education criteria for this course and every business needs that kind of skilled employee. This course will also allow you to do work from home. After learning this course you can set up your own business.

Upon completing this course, you can pursue roles such as:

Data Analyst – Work with structured datasets, visualize insights, and generate reports.
Business Intelligence Analyst – Create dashboards, analyze trends, and assist in decision-making.
MIS Analyst – Handle data automation, reporting, and Excel-based analysis.
Database Analyst – Manage SQL queries, data integration, and optimization.
Power BI Developer – Build interactive reports and dashboards for business insights.

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

Open door to brighter future by transcending monetary barriers with the no cost EMI of Bajaj Finserv.

Backup Class

Flexible Timing

Fees Installment

Expert Trainer

100% job assistance

Free Library

Live Project

Practical learning

Student Reviews

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.

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.

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.

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Frequently Asked Questions

Students who have completed their 12th standard can easily enroll in this course. Students with a base in science and programming could leverage better advantage of the course.

The course will be 6 months long, with each class being one hour every day.

Yes, the course has been designed to first introduce the students to the programming language and then move further to the concepts of data visualization and analysis.

We provide 100% placement assistance to the students who maintain a good track record throughout the duration of the course.

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