Data Analyst

Are you intrigued by the world of data analysis? Do you envision yourself making meaningful insights from vast datasets, driving decisions, and shaping strategies? We at Wifi learning offers you the perfect backdrop to embark on your journey to becoming a proficient data analyst. And with the convenience, you can unlock this potential from the comfort of your own space.


  • Introduction of Excel compare MS Excel 2016 with other Excel versions
  • Copy/Paste, Paste Special
  • Add and Edit Comments
  • Fill Effects
  • Wrapping text within a cell
  • Data Formatting
  • Filter, Advanced Filter, Color Filter
  • Sorting, Advance Sorting, Custom Sorting
  • Flash Fill Feature
  • Text to column functionality of excel to Split words
  • Absolute, Relative and Mixed Cell References
  • Protect sheet and workbook
  • Protect Range
  • Table Feature
  • Freeze and unfreeze panes and Split
  • Excel Keyboard Shortcut Keys
  • Conditional and Custom formatting
  • Understanding the number format codes
  • Changing the font color with number format codes
  • Hide Number and Text based on criteria
  • GOTO SPEICAL Feature
  • Creating Name range and Name Manager
  • Hyperlink from a different sheet, workbook, cell, defined names and websites
  • Remove Duplicates
  • Data Validation: Data List, rules, modify error messages
  • Grouping, ungrouping and Subtotal in Excel
  • COUNTIF with wildcard
  • Uses of COUNTIF with real-time example
  • Unique Entry using the COUNTIF function
  • Find duplicates using COUNTIF Function
  • Running Count
  • Example of COUNTIFS
  • Example of SUMIFS
  • Example of AVERAGEIFS
  • Example of DCOUNT
  • Example of COUNTA
  • Example of DSUM
  • Example of DAVERAGE
  • Logical Functions: IF, Nested IF, AND, OR, NOT, XOR, IFERROR
  • SMALL and LARGE function
  • SUMPRODUCT Function
  • Introduction of TEXT Functions (LEFT, RIGHT, MID, REPLACE, SUBSTITUTE, etc) available in Excel
  • Use text functions to Split the words
  • Use text functions to split characters and numbers What-If Analysis in Excel
  • Introduction of Date Functions available in excel.
  • Create and Design Calendar using Different Date Functions (WEEKDAY, WEEKNUM, EOMONTH, EDATE) in excel.
  • Calculate Age using DATEDIF Function
  • Calculate the date and time difference
  • count working days using NETWORKDAYS Function
  • Introduction of LOOKUP VLOOKUP and HLOOKUP
  • VLOOKUP with Exact Match
  • VLOOKUP with Approximate Match
  • Usage of VLOOKUP Functions using ROW and COLUMN functions
  • Example of VLOOKUP with Array
  • Example of HLOOPKUP with multiple Examples
  • Example of LOOKUP with multiple examples
  • Introduction of the INDEX Function
  • Introduction of OFFSET Function
  • Use of INDEX Function
  • Advance uses of Array Function using INDEX, OFFSET, MATCH, SMALL, LARGE, ROW, and COLUMN function Use of ROW and ROWS function using INDEX and OFFSET function
  • Introduction of INDIRECT Function
  • Introduction of ADDRESS Function
  • Uses of INDIRECT Function
  • Uses of ADDRESS Function
  • Creating a Pivot table and Pivot chart in Excel
  • Adding Slicer and Timeline to analyze in Excel
  • Using the power pivot to do the Data Analysis
  • Using Power Query to Source the data from Different Sources
  • Introduction of Dashboards and MIS Reports
  • Adding and Using User Form control in Excel
  • Recording Macro and run it through a command button
  • Creating Dynamic Formula based on` User Form control
  • Creating Dynamic Charts using Formula
  • Creating 2D charts in Excel
  • Importance of charts in Dashboards and MIS Reports
  • Introduction to RDBMS concepts
  • Normalization Technique
  • SQL Server Architecture
  • Introduction to Microsoft SQL Server
  • Introduction to SQL Server Management Studio
  • Installation of SQL server Management Studio
  • Introduction of Language Statements (DDL, DML, DCL, TCL)
  • Creating table and DDL commands
  • Introduction of Import and Export Wizard
  • SQL Data Types
  • SQL Constraints
  • SQL Indexing
  • Select Statement
  • SQL Distinct keyword
  • SQL Where Clause
  • SQL wild card concept
  • SQL Group by and Having clause
  • SQL CASE statements
  • Introduction of Join
  • Inner Join
  • Outer Join
  • Left Join
  • Right Join
  • Self Join
  • Cross Join
  • Concept of Nested Join with Where Clause
  • SQL Update Statement
  • SQL Insert Statement
  • SQL Delete Statement
  • SQL Transaction control Language
  • SQL Number Functions
  • SQL Date Functions
  • SQL Text Functions
  • SQL Special Functions
  • SQL Scalar Subqueries
  • SQL Multivalued Sub Queries
  • SQL Table Values Sub Queries
  • SQL Common Table Expression
  • SQL CROSS APPLY operator
  • SQL RANK function
  • SQL DENSE_RANK function
  • SQL ROW_NUMBER function
  • SQL Over Clause
  • SQL If condition
  • SQL While Loop
  • Creating Stored Procedure
  • Modifying Stored Procedure
  • Creating User Defined Function
  • Modifying User Defined Function
  • SQL Pivot and Unpivot Concept
  • Implementing T-SQL Error Handling
  • Redirecting Errors with Try/Catch
  • Using THROW to pass an error message back to a client
  • Applying Error Handling in Stored Procedure
  • Introduction of Cursor
  • Creating cursor
  • Modifying cursor
  • Detailed description about Index
  • Query optimization
  • Performance Tuning
  • Introduction to Visualization
  • Why Business Intelligence
  • Introduction to Power BI
  • Power BI Architecture
  • Components of Power BI
  • Power BI Flow
  • Introduction of Power BI Desktop
  • Power BI Licensing (Free vs Pro vs Premium)
  • Power BI Desktop Installation
  • Power BI Desktop User Interface and Views
  • Types of Data Sources in Power BI
  • Data Loading Modes and Advantages
  • First Row Header
  • Duplicate Columns
  • Split Columns
  • Remove Duplicate/Columns
  • Replace Value
  • Change Data Type
  • Group BY
  • Pivot and Unpivot
  • Formatting data
  • Add Custom Columns
  • Invoke Function
  • Append Queries
  • Join Merge Queries
  • Combine Files (Folder)
  • Parameters
  • Other Query Features
  • Components of Data Modeling
  • Introduction to Data Models
  • Data Model Engine
  • Types of Data Model (Flat, Star & Snowflake)
  • Granularity of Data & multiple fact tables
  • Data Modeling Relationships
  • One to One
  • One to Many
  • Many to Many
  • Roll Playing Tables
  • Sorting/Renaming/Hiding Tables
  • Hierarchy Creation
  • Formatting & Data Category
  • Grouping / Binning
  • Drill Through Reports
  • What IF Parameter
  • Designer Options
  • Power BI Visualization Types
  • Custom Visualization
  • Best Practices
  • Choosing Colors
  • Types of Charts and Usage
  • Slicers / Filters
  • Creating Complete Visualization Report (Practical)
  • Continue Creating Complete Visualization Report (Practical)
  • Story Telling with the created Report
  • Bookmarks / Selection Pane
  • Spotlight
  • Drill Through
  • Additional Features
  • Publishing / Deploying Reports
  • Apps Workspace & Roles
  • Creating Dashboard
  • Q&A
  • Quick Insights
  • Dashboard Options
  • Subscription
  • Alerts
  • Export Options (Embed, Web, Power Point…etc.)
  • Excel Integration
  • Row Level Security
  • Data Refresh Concept
  • Gateway and Installation
  • Power BI Mobile Service
  • Power BI Admins Roles
  • Audit Logs
  • Introduction DAX
  • DAX Data Types
  • Calculated Columns
  • Calculated Tables
  • Calculated Measures
  • Calculated Columns vs Measures
  • Aggregated Functions (SUM, MIN, MAX, AVG, COUNT)
  • Relate Functions (RELATED & RELATED TABLE)
  • Iterative Functions (SUMX, AVGX, COUNTX)
  • Variables (VAR)
  • Logical functions (AND, OR, IF, SWITCH)
  • Handling Blanks (ISBLANK, NOTISBLANK)
  • Rank Functions (RANKX)
  • Understand Row & Table level Filter Context
  • Date Functions (DATEADD, DATEDIFF, TODAY Required Date Formats)
  • Calendar Functions (CALENDAR, CALENDAT AUTO)
  • Introduction to Programing Language
  • Introduction to Python
  • History of Python
  • Why Python and Comparison with all languages
  • Version of Python
  • Environment Setup
    • Discussed about IDE
    • In window
    • Mac
  • Variables
  • Comments
  • Data Types in Python
    • Numbers
    • String
    • List
    • Tuple
    • Dictionary
  • Operators
    • I/O Functions
    • Type Conversion
  • Basic Introduction
  • If, If else, Nested if and elif
  • Loops
  • Basic Introduction
  • Need of Loop
  • While Loop
  • For Loop
  • Introduction
  • Pre Define Functions
  • User Define Functions
  • Lambda Function
  • Section introduction
  • Raising our own error
  • Try and Except Block
  • Try, Except, Else and Finally
  • Debugging with PDB
  • TTP Introduction
  • HTTP verbs and API
  • Writing your First Python Request
  • Requesting Json with Python
  • Sending Request with Params
  • API Projects
  • Section Introduction
  • Defining Class and Objects
  • Abstraction and Encapsulation
  • Creating Class and Instances
  • INIT Method
  • Introducing the class Attributes
  • Class Methods
  • Inheritance and Objectives
  • All about the Properties
  • Introduction to Super
  • Polymorphism Introduction
  • Some Special Methods
  • Section Introduction
  • Iterators vs Iterables
  • Writing own Custom iterators
  • Writing our own Version of Loops
  • Making a Deck Class Iterable
  • Testing Memory Usage with Generators
  • Generator Expression and Speed Testing
  • Higher Order Functions
  • Introduction to Decorators
  • Decorators with Different Signature
  • Using Wraps to preserver Metadata
  • Building a Speed Test Decorator
  • Section Introduction
  • Why Test
  • Assertions
  • Introduction to Doctest
  • Introduction to Unit Test
  • Hands on work on Testing
  • Section Introduction
  • Reading the Text File: Open, read and Write
  • Reading the File: Seek and Cursor
  • The with Statement
  • Writing to Text File
  • Working on Csv and Pickling
  • Reading CSV File
  • Writing CSV File
  • Introduction to Web Scraping
  • Is Scraping ok?
  • Selecting with Beautiful Soup
  • Navigate with Beautiful Soup
  • Web Scraping Projects
  • Introduction to Regular Expression
  • Writing basic Regix
  • Regix basic Quantifiers
  • Introduction to the section
  • Installing Mysql
  • Why Mysql
  • Sql Basic: DDl , DML
  • Inserting with Python
  • Fetching the Data in Python from MySQL
  • There will be Assignment on Each and Every Section
  • Hands-on experience on Each and Every Section
  • Interview Questions will also be discussed
  • By this Content you can get a Job in Python Language
  • Project 1
  • Project 2


Online Virtual Class Room

Enroll in any above batch and attend live class at scheduled time


Upcoming Batches:


1. Where we can use the data analyst concept?
We can use this concept anywhere in any company whether it is a small company or big company. but mostly it is used for the collection of big data .
2.Any Prerequisite to learn Python?
There is no prerequisite to learn Data Analyst in noida. If you are familiar with computers or have a basic concept of any other programming language it would be an added advantage to you. By the way, we will start this training from scratch.
3. Recommend Audience for Data Analyst course in Noida:
Anyone interested in learning Data Analysis can join this course like students and working professionals.
4. In case of my absence, how can I manage my class?
You will get access to LMS (Learning Management System), if you missed your class you can refer to the recorded session in your LMS. If you have any doubts you can ask in your next class whenever you join
5. How much time it will take to complete ?
It will take 100 hrs. to complete this training program
6. Who is the Instructor?
Our instructors are industry experts having more than 10 years of corporate experience. Since they have rich experience in their domain they will train as per the industry standards.
7. Will you help us in Job placement?
We have tied up with more than 100+ companies in corporate industry. We will schedule your interview after successful completion of our course.
8. Will you help us in resume creation?
Yes, we will help you create your resume so that it can be shortlisted easily for an interview.
9. Will you help us to get the software?
Yes, we will help you with the Trial version of the software
10. How long can I access my (LMS) learning management System?
Once you enroll for the course, you can access the LMS for life long.
11. How can I get the certification?
Once you will complete your course, you will appear for an online test. Based on your score we will issue the certificate.
12. What is a Self-paced course?
If you enroll for a self-paced course you can access the pre-recorded sessions and you can do self-learning. You can complete your course as per your availability.
13. What is an instructor-driven course?
This is online virtual classroom training, since this is a live class, you can clear your doubts in the class.
14. What if I have more queries or concerns?
You can write an email at info@wifilearning.com or you can contact us at our Office numbers at 91-9999468661.
15. How can I start a career in data analytics?
To start a career in data analytics, consider acquiring relevant skills in statistics, programming, and data visualization. Completing courses, certifications, or obtaining a degree in data analytics can also be beneficial. Networking and gaining practical experience through projects are valuable steps as well. Wifi learning can help you with that for an inquiry call now.




himanshu singh

The best part about this class was its relevance. The projects were often based on real data sets, which made the learning experience authentic


vaibhav tyagi

The course material was well-structured, and the instructor was always available to answer questions. The practical experience gained through projects was a highlight


avantika sehgal

I had zero background in data analytics before this class, but now I feel like I can confidently tackle real-world data problems.


vijay kumar

Taking the data analytics class was a game-changer for me. The instructor made complex concepts easy to understand, and the hands-on projects were incredibly valuable.


vijay kumar

Taking the data analytics class was a game-changer for me. The instructor made complex concepts easy to understand, and the hands-on projects were incredibly valuable.


shambhavi singh

"Taking the data analytics class was a game-changer for me. The instructor made complex concepts easy to understand, and the hands-on projects were incredibly valuable. I learned how to use various tools like Python, Excel, and SQL to analyze data effectively. Highly recommended!"



I am Bindu . I was working in Wounderman Thompson at gurgaon location. due to some reason i was looking an opportunity in chennai but due to recession and all i was not able to get it . i joined Wifi Learning for Data Analytics training program . after complettion of just three modules i got an opportunity at my preferred location. i am very thankful to wifi learning for helping me . it became possible just because of the dedication of entire team .


Daksh prajapati

Hi, i am Daksh , being a fresher it was difficult to me to get a job .i joined Data Analytics program . it is very good training experience . even i did not complete my trainig one module is still running and i got placed as data analyst . Thanks to the entire team of wifi learning for support and right guidance


Rishi mishra

hello, i am rishi If you want get real time experience during training I would like recommend you to join Wifi Learning because you will get training by only professional trainer who is actually working in corporate .


nikhil dhingra

I am nikhil I got training in Data Analytics . it really help us to get my first job . this Data Analytics training program is the best program . it really help you to make your career


avinash prajapati

I am avinash i placed in a reputed company in the middle of my training . I would like to thanks to the entire team of Wifi Learning because of them I achieved this milestone. Very good training center in terms of Training quality. Training content is upto the corporate requirement . Thank you so much sir for helping me to get placement after a long gap in my career . your training helps me a lot special thanks to the placement cell of Wifi Learning for providing me such a great opportunity . Thank you once again .


rashi khanna

I am rashi I got training in Data Analytics . it really help us to get my first job . this Data Analytics training program is the best program . it really help you to make your career . it doesn’t matter whether you are from IT background or non-IT Background .


Rohit singh

Hello I am Rohit , I have taken class of Data Analytics from wifi learning few days back , even I have not completed my training , my one module is still remaining because I placed in a reputed company in the middle of my training . I would like to thanks to the entire team of Wifi Learning because of them I achieved this milestone.


Mohammad Husen

Very good trainer , good course you should get experience with wifi learning



It was great experience , for me it was vert difficult to find a place where we can get industry expose . finally at wifi

Contact us

Phone: +91-9999468662 +91-9999468661

Email: info@wifilearning.com