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Certification Data Analyst And Visualisation Course

Data Analysis & Visualization Certification course will make you learn to collect, analyze and present the data in an understandable manner. This course covers the most covered topics like cleaning data and patterns recognition as well as using tools such as Excel, Tableau and Power BI to create charts and reports. This certification is perfect for anyone looking to make informed decisions by using data that applies for business professionals, marketers and analysts alike. Learning these skills empowers you to take raw data and convert it to simple yet powerful visuals that will get businesses to grow and succeed.

Course Highlights

1.

Python

2.

Advanced Excel

3.

SQL

4.

Power BI

5.

Google Sheets

6.

Excel VBA & Power Query

7.

Statistics & Probability

8.

Office 365 Features

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Learning Outcome

Gain proficiency in Advanced Excel for data handling, analysis, and visualization.
Master SQL for data extraction, manipulation, and querying large datasets.
Understand statistics and probability to interpret data insights effectively.
Explore Excel VBA for automating tasks and creating dynamic reports.
Develop skills in Python programming for data analysis and automation.
Learn Power BI and Google Sheets for interactive dashboards and data visualization.
  Read More
Get hands-on experience in Power Query for data transformation.
Work with Office 365 tools for enhanced productivity and collaboration.
  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
  • Dynamic Conditional Formatting
  • Excel Sequence and Random Array Formula in Office 365
  • Data Visualization
  • 6)    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

    7)    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

    8)    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)
    • Transfer Control statements (Pass, continue, Break)
        •     Functional programming
    • User defined
    • Built-In

    9)    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

    10)    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)
  • Probability Distributions (Normal, Binomial, Poisson, etc.)
  • Central limit theorem
  • Sampling Methods (Random, Stratified, Cluster, Systematic)
  • Confidence Intervals
  • Correlation Coefficient (Pearson, Spearman)
  • 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.


    • 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 Intelligence Analyst ₹4L - ₹7L
    Data Analyst ₹3.5L - ₹6L
    SQL Data Analyst ₹3.5L - ₹6.5L
    Python Data Analyst ₹4L - ₹7.5L
    Excel & VBA Analyst ₹3L - ₹5.5L
    Power BI Developer ₹4L - ₹8L

    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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