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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

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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.
  Read More
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.
  Read Less

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



    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.

    Our Achievements

    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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