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Microsoft Excel, My SQL along with Data Visualization tool Power BI & Tableau and Most Powerful Programming Python 

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Data Analytics Overview

The Data Analytics Advanced Certification course is one of the best combinations of freshers and early career professionals. and concludes with data, operation, model, applications, techniques, and communication. It is a study of the allocated data with the help of statistical and operations analysis. The user can predict the models, optimization techniques and communication directly result in people associated with the organization. Any business model or decision-making is entirely based on quantitative methods and evidence-based data. 

Instructor-Led Online Training

Batch Start DateLocationUpcoming SlotsTimings
7th Jul'24Online & OfflineSold Out
10:00 PM - 12:00 PM
21st Jul'24Online & OfflineFilling Fast
Weekend batch
27th Jul'24Online & OfflineSAT & SUN
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INR 67,850/-
INR 34,810/- +18% GST

Data Analytics Advanced Course Content

For the curriculum, you will cover  in this course, click on the tab to check the detailed content

Module 1:- Getting Started with Excel

  • Introduction to Excel 2013/2016/2019/Office 365
  • Application Interface and Key Components of Excel
  • Navigating Through Excel Ribbon Tabs
  • Exploring Important Excel Options*
  • Live Session Exercise
  • Splitting data of Single Column into multiple
  • 10 Examples to use Auto-fill and Flash Fill
  • Magic of Go-To Special
  • Merge/Unmerge Cells & Wrap Text
  • Extracting Unique Values & Important Ribbon, General and Data Entry Keyboard Shortcuts

Module 2:- Formatting Essentials

  • Formatting Essentials Introduction
  • Custom Cell Number Formats
  • Custom Date/Time Formats
  • Working with Comments / Notes
  • Format Painter – A Quick way to copy ‘Formatting Attribute’
  • Paste Special
  • Table, Table Styles & Formatting
  • Freeze Panes

Module 3:- Functions & Formulas

  • Introduction to Excel Functions and Formulas
  • Basics of Functions & Formulas
  • Working with Cell References Types
  • Most Used Basics & Advanced Functions & Formulas
  • Working with Array Formulas
  • Creating Customized Formulas Step-by-Step with Live examples
  • Creating and Working with Dynamic Ranges using Function and Excel Table features
  • Formulas Debugging / Formulas Auditing
  • Types of Formula Errors / Error Handling Tricks
  • Date & Time Functions: – DATE, DAYS, TIME, NOW, WEEKNUM, WORKDAY, and WORKDAY.INTL etc.
  • Statistical Functions: – AVERAGE, COUNT, COUNTA, COUNTBLANK, MAX, MIN, LARGE etc.
  • Logical Functions: – IF, IFS, AND, OR, and IFERROR.
  • Newly Introduced Functions in Recent Version of Excel*: – CONCAT, TEXTJOIN, IFS, SWITCH, DGET, UNIQUE, FILTER, etc.
  • Nested Conditions/Customize Formulas*

Module 4:- Data Analysis

  • Data Sorting
  • Data Filtering
  • Named Ranges
  • 10 different ways to use Conditional Formatting
  • 10 different use of Data Validation
  • What-If Analysis

Module 5:- Excel Charts

  • Introduction to Excel Charts
  • Exploring the most commonly used Charts and Templates
  • Basics of Charts
  • Selecting Requirement based Charts
  • Working with Basic Charts:
  • Creating Customized / Advanced Charts
  • Creating Dynamic Chart
  • Working with Dynamic Interactive Charts in Excel using Drop Down
  • Working with Chart Elements, Formatting, Chart Styles, Properties, etc.

Module 6:- Pivot Tables

  • Introduction to Pivot Table
  • Creating a Pivot Table
  • Use of Calculated Fields/Items
  • Pivot Table Formatting
  • Grouping Items & Summarizing data in Pivot Tables
  • Grouping and Bucketing data in Pivot Table
  • Changing/Modifying Data Sources
  • Working with Pivot Table Designs & Layouts
  • Exploring Important Pivot Table Options & Field Settings
  • Pivot Table Filters
  • Changing Pivot Table Summary Calculation
  • Use of Slicers in Pivot Table
  • Using Source Data to Convert into Infographic Summary
  • Introduction to Pivot Charts

Module 1:- Getting Started with My SQL

  • An Introduction and Overview of MySQL
  • Installation and GUI Tools
  • An Overview

Module 2:- My SQL Fundamentals

  • Introducing SELECT statement
  • Introducing WHERE clause
  • Sort result with ORDER BY
  • Using FROM to specify the source tables
  • Importance of Clause Orders
  • Data Modification tricks

Module 3:- Creating Database & Tables

  • Creating a database
  • Creating a table
  • Creating Indexes
  • Controlling column behavior with constraints
  • Using foreign key constraints
  • Creating an ID column
  • Changing a schema with ALTER
  • Introducing NULL and NOT_NULL
  • Introduction to MySQL Data Types
  • Setting up default values
  • MySQL Warnings
  • Alerting a table

Module 4:- My SQL Functions & Clause

  • Introduction to MySQL Functions
  • Aggregate Functions – COUNT, MIN, MAX, SUM, AVG, ROUND etc
  • Control Flow Functions – IF, IFNULL, NULLIF etc.

Module 5:- Multiple Tables & Joins

  • Introduction to JOINS
  • Different types of JOINS
  • JOINS and Aliases
  • Multiple Table Joins
  • Creating a simple Subselect
  • Understanding of Primary keys and Foreign keys

Module 6:- Transactions, Stored Routines & Triggers

  • Transactions & Stored Routines
  • Triggers

Bonus Modules

  • Creating a New User Login
  • Granting access to new users
  • Backup and Restore databases
  • Important Keyboard Shortcuts Guide
  • Session Study Material
  • Situational Case Studies for Best Practice and Getting Ready for Corporate World
  • 6 Months Live Support via Phone/Email/Messages

Module 1:- Introduction to Power BI

  • What is Data Analytics & Data Visualization
    • Introduction to Data Analysis
    • Introduction to Data Visualization
    • What is Business Intelligence?
    • Overview of Self-Service Business Intelligence (SSBI) Tools
    • Leading Self-service tools
    • Comparison of Leading Visualization Tools
  • Getting Started with Power BI
    • Introduction to Microsoft Power BI
    • Why Power BI
    • Power BI Elements
    • Basic Components of Power BI
    • Building Blocks of Power BI
    • Key Benefits of Power BI
  • Hands-On
    • Power BI Installation
  • Skills Gained
    • Understanding of Data Analysis & Visualizations
    • Concepts of Business Intelligence
    • Installing Power BI on the System
    • Elements and Building Blocks of Power BI

Module 2:- Getting Data from Different Data Sources

  • Power Bi Desktop (Getting Data)
    • What is Power BI Desktop
    • Quick Walk-through Power BI Interface
    • Views in Power BI Desktop
    • Report View
    • Data view
    • Model view
    • Understanding ETL Concepts: Extract, Transform & Load
    • Data Sources in Power BI Desktop
    • Connecting and Getting data from different sources in Power BI
    • Getting data from Excel, CSV, Access, etc
    • Saving Workfile
  • Hands-On
    • Identifying and retrieving data from different data sources
    • Extracting and Loading data into Power BI
    • Preparing Data
  • Skills Gained
    • Concepts of ETL tool
    • Getting data from multiple sources

Module 3:- Clean, Transform and Load the Data

  • Shaping Data using Power Query
    • Loading data into Power BI Desktop
    • What is Query Editor
      • Cleaning Data with Query Editor
    • Transforming Data with Query Editor
      • Unpivoting Columns
      • Eliminating Rows / Columns
      • Changing / Modifying Data Types
      • Adding Custom Columns
      • Replacing Values / NULL
      • Promoting / Demoting Row as Header
      • Modifying and managing existing ‘Steps’
    • Extracting Date Components from Date-Time
    • Introduction to “M Query”
    • Combining Data
      • Append Merge / Joins, Transpose & Formatting Data Operations
    • Hands-On
      • Cleaning Data using Power Query Editor
      • Shaping the data
      • Transforming and cleaning the data
      • Merging Rows / Columns from multiple tables
      • Joins / Append activities
    • Skills Gained
      • Data Transformation using Query Editor
      • Loading the data
      • Understanding of “M Query”

Module 4:- Design a Data Model

  • Introduction to Data Modeling
    • Understanding of Relationship
      • What is Relationship?
      • One to Many Vs One to One Relationship
    • Auto-Detect Relationship during Load
    • Dimension Table Vs Fact Table
    • Cardinality in Data Modeling
    • Creating Relationship Manually
    • Managing Data Relationship
    • Editing Relationship
    • Creating Calculated Columns
    • Creating Measures
    • Optimizing Data Models for Better Visuals
    • Cross Filter Direction
    • Defining Hierarchies
  • Hands-On
    • Creating Model Relationships
    • Managing Relationships
    • Creating Measures
    • Creating hierarchies
  • Skills Gained
    • Understanding the basics of data modeling
    • Defining relationships and their cardinality
    • Understand star schema and its’ importance
    • Managing relationships

Module 5:- DAX Formulas & Calculations

  • Introduction to Data Analysis Expression (DAX)
    • Importance of DAX
    • Data Types in DAX
    • Defining Calculation Type
      • Calculated Column Vs Calculated Measures
      • Adding New Measures to Report
      • Creating Calculated / DAX Tables
    • DAX Syntax & Operators
    • Most Important & Common Basics & Advanced DAX Functions
      • Aggregate Functions
      • Logical Functions
      • Time-Intelligence Functions
      • Information Functions
    • DAX Variables
    • Formatting DAX Code
    • Handling Errors in DAX Expressions
  • Hands-On
    • Creating Calculated Tables
    • Creating Calculated Columns and Measures
    • Writing DAX calculations to perform Data Analysis
    • Beautifying DAX
    • Creating Variables
  • Skills Gained
    • Understanding DAX
    • Create Calculated Columns, Measures & Tables
    • Working with Advanced functions e.g. Time-Intelligence, Filter contexts etc.

Module 6:- Data Visualization & Creating Reports

  • Introduction to Visuals in Power BI
    • Creating Visualization
    • How to use Visual
    • Exploring Visualizations’ List
    • Exploring Most Common & Important Visualizations
      • Bar, Column, Line and Area Charts
      • Pie, Donut, and Gauge Charts
      • Single Number Cards and Multi Row Cards
      • Table & Matrix Visuals
      • Combo Chart, Funnel and Treemap Charts
      • Slicer, KPI and Custom Visuals
      • Map & Filled Map Visuals
    • Modifying Color Properties of Charts and Visuals
    • Shapes, Text Box, Buttons, and Images
    • Types of Filters
    • Slice and Dice Data in Power BI
    • Drilling-Up/Down
    • Understanding Custom Visuals & How to add them
    • Customizing Canvas
      • Setting up Canvas & Must Know Global Fonts
      • Page Layout & Formatting
    • Bookmarks in Power BI
    • Reports in Power BI
    • Conditionally formatting tables/matrixes
    • Activity: Creating Sales Report
  • Hands-On
    • Creating visual and charts
    • Designing a report
    • Managing visual fields and format properties
  • Skills Gained
    • Creating and selecting effective visualizations
    • Designing report page layout and Visual modification
    • Adding report navigation & basic functionalities
    • Creating visually stunning reports

Module 7:- Power BI Service and Managed Workspaces

  • Introduction to Power BI Service & Workspaces
  • What is Power BI Service
    • Exploring Interface of Power BI Service
    • Understanding the Admin Portal settings
  • What is Power BI Workspace
    • Understanding of “Workspace”
    • My Workspace Vs New Workspace
    • Creating New Workspace
    • Sharing and Managing Workspaces
  • Roles in workspaces in Power BI
  • Exploring Power BI Licensing
    • Power BI Free Vs Power BI Pro Vs Premium
  • Hands-On
    • Publishing reports on Power BI Service
    • Creating workspaces
    • Sharing and Managing Reports
    • Moving important assets to App and Publishing app in Power BI
  • Skills Gained
    • Knowledge of Power BI Service (Cloud)
    • Workspaces in Power BI
    • Creating and managing a workspace

Module 8:- Creating Dashboard in Power BI

  • Dashboard in Power BI
    • Introduction to Dashboard
    • Difference between Report Vs Dashboard
    • Preparing and Creating Dashboard
      • Configuring a Dashboard
      • Pinning Visuals to Dashboard
    • Dashboard Tiles
      • Pinning Tiles
    • Dashboard Widgets
    • Introduction to Power BI Q&A
      • Asking questions about data
      • Fetching results using Q&A
      • Using Q&A to create a dashboard tile
    • Quick Insights in Power BI
      • Data Analysis using Quick Insights
    • Sharing and Collaborating Dashboard with Business Users
  • Hands-On
    • Creating a Dashboard
    • Pinning visuals to Dashboard
    • Adding text/video widgets to Dashboard
    • Sharing and Moving Dashboard to distributed app
    • Use of Power BI Q&A to question your data
  • Skills Gained
    • Dashboard creation from report
    • Enhancing dashboard usability
    • Importance of Q&A and Quick Insights

Module 9:- Data Gateway, Security & Schedule Refresh

  • Report Security in Power BI
  • Introduction to Row-level Security (RLS)
    • Setting up and Enforcing Row-level security
    • Implementing Row-level security
  • Data Gateway & Report Scheduling
    • What is Data Gateway
    • Types of Gateway
      • On-premises data gateway (personal mode)
      • On-premises data gateway (standard mode)
    • Installing Data Gateway
    • Data Gateway System Requirement
    • Benefits of Data Gateway
    • Scheduled Refresh & Refreshing Data
    • Managing Data Source
      • Adding and removing a Data Source
    • Hands-On
      • Configuring & Implementing RLS
      • Managing datasets
      • Setting up On-Premise Data Gateway
      • Connecting Reports on Power BI Cloud with Local Data Files
      • Schedule dataset refresh
    • Skills Gained
      • Dashboard creation from report
      • Enhancing dashboard usability
      • Importance of Q&A and Quick Insights

Bonus Module:- In-Class Project

  • In-Class Project: Building Sales Report & Dashboard from Scratch
    • Extracting Data from the Local Source
    • Transforming Data using Power Query
      • Cleaning, Shaping and Preparing the data if necessary
    • Loading Data to Power BI Desktop
    • Building Data Model
    • Visual and Charts
    • Row-level Security
    • Publishing Reports
    • Power BI Service
    • Creating Dashboard
  • Hands-On
    • Analyzing Sales data
    • Derive conclusions from the patterns and trends shown in the visualization
  • Skills Gained
    • Report and Dashboard creation
    • Publishing, sharing and collaborating it with Business users

Module 1: Getting Started with Python Core

✓ Need of Programming with an Example
✓ Why Programming
✓ Advantages of Programming
✓ Different Programming Languages
✓ Introduction to Python
❑ A Brief History of Python
❑ Why Python
✓ Installing Python
✓ Creating Python File using IDLE
✓ Write your first Program in Python
✓ How to execute Python Program
✓ Identifier
❑ Rules for Naming Identifiers
✓ Variables
✓ Operator
❑ Operator Types
✓ Q&A

Module 2: Datatypes in Python

✓ Introduction to Python Data Types
✓ Strings
❑ Introduction to Python ‘String’ data type
❑ String Properties
❑ String built-in functions
❑ Programming with Strings
❑ String Formatting
✓ Lists and Tuples
❑ Introduction to Python ‘List’ data type
❑ List Properties
❑ List built-in functions
❑ Programming with Lists
❑ List Comprehension
❑ Introduction to Python ‘tuple’ data types
❑ Tuples as Read only lists
✓ Dictionary and Sets
❑ Introduction to Python ‘Dictionary’ data type
❑ Creating a dictionary
❑ Dictionary built-in functions
❑ Introduction to Python ‘set’ data types
❑ Set and Set properties
❑ Set built-in functions
✓ Q&A

Module 3: Conditional & Control Statements in Python

✓ Introduction to Conditional Statements
❑ Types of Conditional Statements
o If….Statement
o If….Else Statement
o Elif…. Statement
✓ Introduction to Loops
❑ Types of Loops in Python
o While….Loop
o For….Loop
o Nested Loop
✓ Introduction to Loop Control Statements
❑ Loop Control Statements Keywords
o Break Statement
o Continue Statement
o Pass Statement
✓ Q&A

Module 4: Functions in Python

✓ Introduction to Python Functions
✓ User Defined Functions
❑ Functions definition and return statement
❑ Calling a Function
❑ Parameters and Arguments
❑ Required Arguments
❑ Default Argument
✓ Variable Scope in Function
❑ Local Scope
❑ Global Scope
❑ Enclosing Scope
❑ Built-in Scope
✓ Modules and Packages
❑ Importing Module (from, import statement)
✓ Anonymous functions (Lambda)
✓ Q&A

Module 5: Exception Handling & OOPs Concepts

✓ Getting started working with Files
❑ File Objects and Modes of file operations
❑ Reading, Writing, and use of ‘With’ Keyword
❑ Read(), Readline(), Readlines(), Write(), Writeline()
✓ Introduction to Exception Handling
❑ Understanding Exceptions
❑ Handling An Exceptions
❑ Try, Except, Else, and Finalizing
❑ Raising Exceptions with: Raise, Assert
✓ Introduction to Object Orientated Programming (OOPs)
❑ Why OOPs
❑ Difference Between POPs and OOPs
❑ OOPs Concepts
❑ Python OOP Vs Other OOPs
❑ Class and Objects
❑ Relation Between Class and Objects
❑ Creating a Class
❑ Attributes
✓ Built-In Class Attributes
✓ Class Variable and Instance Variable
❑ Constructor and Destructor
❑ Multiple Constructors
❑ Abstraction
❑ Inheritance
✓ Inheritance Types
❑ Overloading
❑ Overriding
❑ Data Hiding
✓ Q&A

Module 6: Database Connectivity & Regular Expressions

✓ Introduction to Regular Expressions
❑ What are Regular Expressions
❑ Regular Expressions Operations
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❑ Search Function
❑ Match Function
❑ Modifiers
❑ Patterns
✓ Database Connectivity
❑ Introduction to Database Connectivity
❑ Connections
❑ Executing Queries
❑ Transactions
✓ Q&A

Module 7: Data Manipulation & Data Visualization

✓ What is Data Manipulation
✓ Introductions to Pandas
✓ Data Manipulation with Pandas
✓ Data Structures & Series
✓ Data Frame
✓ Missing Values
✓ Data Operations
✓ Data Standardizations
✓ Pandas File Read (CSV, Excel, SQL) and Write Support
✓ Data Acquisition (Import & Export)
✓ Introduction to Data Visualization using Matplotlib
❑ Installing Matplotlib
❑ Plotting in Matplotlib
❑ Creating First Plot with Matplotlib
❑ Creating Column/Line/Scatter Plots
✓ Wrapping Python Core Program
✓ Q&

Module 1:- Getting Started with Tableau

  • Introduction to Data Visualization
  • Leading Data Visualization Tools
  • Introduction to Tableau
  • Exploring Interface and Important Key Components
  • Navigating Through Tableau Menu Tabs
  • Exploring Each Menu Tab i.e. File, Data, Worksheet, Dashboard, Story, Analysis, Map, Format, Server, etc.*
  • Tableau – Design Flow
  • File Types
  • Tableau Data Types
  • Show Me
  • Data Terminology

Module 2:- Connecting to Data with Tableau Desktop

  • Introduction to Data Connection
  • Data Source Interface
  • Types of Data Connections
  • Extracting Data
  • Custom Data View
  • Joins and Unions
  • Data Blending
  • Live Connection Vs Extract
  • Field Operations
  • Basic Project Activity

Module 3:- Examining & Filtering

  • The Sheet Interface
  • Dimensions & Measures
  • Hierarchies
  • Data Granularity
  • Highlighting
  • Data Sorting
  • Grouping Data
  • Data Filtering
  • Data Source Filters
  • The Filter Shelf
  • Dimension Filters & Card Modes
  • Context Filters
  • Measure Filters
  • Creating Sets

Module 4:- Field Types & Charts

  • Utilize Auto-Generated Fields
  • Use Titles, Captions and Tooltips Effectively
  • Creating Bins
  • ToolTip
  • Basic Charts

Module 5:- Calculations in Tableau

  • What are Calculations
  • Methods to Create Calculated Field
  • Introduction to Tableau Functions
  • Operator and Syntax Conventions
  • Introduction to Table Calculations

Module 6:- Level of Detail (LOD) Expression

  • Level of Detail (LOD) Calculations
  • Live Use Cases of LOD
  • Introduction to Parameters
  • Parameters Data Type Options

Module 7:- Geographical Visualization

  • Introduction to Geographic Visualizations
  • Assigning Geographical Locations
  • Spatial Files
  • Map Types
  • Custom Geocoding
  • Background Image

Module 8:- Advanced Charts in Tableau

  • Introduction to Advanced Charts
  • Bar in Bar Chart
  • Bullet Chart
  • Pareto Chart
  • Gantt Chart
  • Hierarchy and Tree Maps
  • Box and Whisker’s Plot
  • Waterfall Chart
  • Step and Jump Lines
  • Maps on a Scatter Plot
  • Bubble Chart
  • Control Chart
  • Funnel Chart
  • Packaged Bubbles
  • Word Cloud
  • Donut Chart
  • Trendlines
  • Reference Line, Bands, and Distributions

Module 9:- Dashboard & Stories

  • Introduction to Dashboards
  • The Dashboard Interface
  • Important Dashboard Objects
  • Adding Objects to the Dashboard
  • Building a Dashboard
  • Dashboard Design and Formatting
  • Types of Actions
  • Designing Dashboard for Tablets & Mobile-Phones
  • Story Points
  • Sharing Workbook
  • Wrapping up Tableau Program

Request For More Information

Data Analytics P3

Basic to Advanced Excel, My SQL, PowerBI, Tableau & Python
34,810/- + 18% GST
  • Live Sessions of 70 Hours
  • Industry Level Training
  • Hands on Practice
  • Completion of Certificate
  • Session Study Material, Case Study
  • Session Recording Access for 1 Year
  • Support Access for 6 Months

Venue Details:-

B1/H3, 91 SpringBoard, MOHAN CO-OPERATIVE, Mathura Rd, Industrial Area, BLOCK B, Delhi, 110044
Call us at +91 96503 08956


✔️ 80 Hours / 38 Sessions
✔️ Per Session for 2 Hours

We have included unlimited real-life examples and case studies in our course.

After every session you will get assignments, study material & real-life case studies & Projects. 

In a set of the time period, you will be having access to getting support from our expert

After completing your course, we will provide you with a Course Completion Certificate

You will get 100% job assistance according to your CTC, Experience, and Present skills If you opt for any of our packages.

Need more details about the course, let’s connect with our experts

Let’s Get Our Expert’s Guidance

Most Frequent Questions and Answers

Data analysts or data scientists interested in learning Python’s tools for doing Data Science. Business Analysts and Business Intelligence experts who would like to learn how to use Python for doing their data own analysis tasks will also find this tutorial very helpful. Software engineers and developers interested in Python’s capabilities for analyzing data gain a lot from this course. 

Yes, you would be require SQL knowledge for Python

Yes, we do provide case studies, assignments, and session study material after each session so that you can practice for each session and can start implementing it in your work from day 1.

Yes, we have recorded videos of our live sessions and will share the same in which you can see what kind of examples we use, the training method, and most important quality of the content delivery.

As part of the course, learners will get weekly assignments and module-wise case studies. Once they successfully complete all their assignments, we’d evaluate them, and then the certificate shall be awarded.

Yes, we assist in job placement. 

We have links with the companies, we keep on getting the Data analyst requirement from them. Based on your current CTC, experience, and skills we refer you to them. And then it is your responsibility to how you present your skills.

  • Industry Experts (Minimum 10 years of Experience)
  • 360-Degree Knowledge & experience in High-Quality Content & Training Delivery
  • Trainers are SMEs in their respective fields with HandsOn experience
  • Experts in MIS, Data/Business Analysts, Product experts & Data Management
  • Quality Student Engagement to build a strong foundation

Unfortunately, we don’t provide lifetime access to videos, but yes we provide access for a good time so that you can learn the application and practice it as much as you want. And then can start implementing the learning in your work.

The reason why we don’t provide lifetime access is that our education panelist has decided and the reason is strong to not provide lifetime access. First of all, when learners come to us to learn these courses it is their immediate requirement to upgrade their skills and get the opportunity. Every time you will not go on a portal and start learning it from scratch and the way technology is growing you have to upgrade your skills every year but for new applications not for old technology.

Unnecessary, we don’t want to increase your budget in providing video access for a lifetime, also your dependency on these videos, our motto is to make you independent on these applications. And the time we are giving you is sufficient to learn any of the applications.

Check Out the Demo Videos

Student Reviews

Really enjoyed the course.. It gave an amazing experience of 2 days session with Mr. Anil Dhawan Sir, It was very useful and informative. ATH is a very good place to learn data analytics courses. Learn a lot from the session..
ATH student review
Rahul Sharma
Financial Analysts

I have get the training of excel for 2 days from anil dhawan sir. It was the great and amazing experience. We learnt a lot new things and it's very beneficial for our future.
Ath student review
Shivangi Singh
Administrative Assistants
Absolutely recommendable! If you are in search of a Microsoft Excel Certification ​Course & Job Assistance then this place is good to opt. Before joining them I was actually in doubt whether they will be able to help me to get a job in this field or not but now I am really happy. I have got a good job ...
ATH student review
Vikas Chaudhary
Retail Store Managers

I am working as a HR,and it requires excel workings regularly so I searched a lot for advanced excel classes,and came across this one..Trust me people,its the best class if you want to learn excel or any other Microsoft Office Programs..Sir is too communicative and teaches in an organized manner.
ATH student Review
Shivani Goyal
Data Architect and Administrators

ATH is the best place to start your Data Analytics Journey, I enrolled for Excel, Power BI, My SQL. Their Counsellors suggested me this package after understanding my whole scenario...but yes it was worth it. Highly recommended
ATH student review
Dolly Sharma
Data Engineer

ATH is such a ladder for career growth, as i studied in many institutes but after taking classes my belief is restored that good institutes still exists, who’s totally focuses on skill development of students instead of only making money.
Aman Singh
Data Analyst

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