GVT Academy offers an Advanced & Master Data Analyst Training Course designed for freshers, graduates, and working professionals who want to build a career in Data Analytics, Business Analytics, and Data Science. This industry-oriented Data Analyst Certification Program focuses on hands-on practical training, live projects, and placement support. This program is ideal for learners searching for: Data Analyst Course for Freshers, Data Analytics Training with Placement, Business Analytics Course, Advanced Excel SQL Power BI Python Course, Online & Offline Data Analyst Training. Why Choose This Data Analyst Course? This job-oriented Data Analyst Training Program is delivered by industry expert Lead Analysts with 13+ years of experience. The course follows a real corporate workflow, helping learners gain practical exposure to data cleaning, data analysis, dashboard creation, and business reporting. Tools & Skills Covered Advanced Excel with MIS Reporting & Dashboards SQL for Data Analytics (Queries, Joins, Views, Triggers) Microsoft Power BI (Data Modeling, DAX, Visualization, RLS) Python for Data Analytics (Pandas, NumPy, Matplotlib, SciPy) Business Analytics & Data Visualization Techniques Live Projects & Practical Training Learners work on real-time live projects, 25+ Excel assignments, and case studies to build corporate-level analytical skills. This practical Data Analyst course helps learners understand real business problems and data-driven decision making. Placement & Career Support Industry-recognized Data Analytics Certification Internship Certificate (1.5 to 3 Months) Dedicated Placement Assistance after 70% course completion Resume Designing & Mock Interviews HR & Technical Interview Preparation Lifetime Access to Class Recordings Learning Mode & Flexibility Online Live Classes with Recording Offline Classroom Training Weekday & Weekend Batches Lifetime Validity of Course Content If you are looking for the Best Data Analyst Training Course with Excel, SQL, Power BI & Python, this program at GVT Academy gives you the skills, certification, and placement support required to succeed as a Data Analyst or Business Analyst in today’s data-driven job market.

1. Data Analytics | Business Analytics | Data
Science
For Fresher 1.5 to 3 Months Internship Certification
Offline / Online Live Classes with Recording
Advanced & Master Course of Data & Business Analytics
Module 1. Advanced Excel with MIS Reporting
 Module 2. SQL
 Module 3. Power BI
 Module 4. Python
 Module 5. HR Round of Interview

2. Program Benefits
Industry acceptable Data Analytics Certification for all
learner’s training which help fresher/experienced to up-skill
in companies
Industry Expert Sr. Lead Analyst / Technical Analyst with
13+ Years provide workshop session @ GVT Academy
After completion of 70% Data Analytics Training our
dedicated placement team arrange interview till placement.
Data Analytics Practical Training helps to gain exposure like
corporate level with technical test series
Real time projects & best case study makes
workshop is very unique and lively for learners.

3. For Learner’s, our admin team fresh batch
schedule/re-scheduling classes/arrange doubt
classes.

4. Detail Live Project Based Course Content
Data Analytics/ Business Analytics
Module-1 Basic & Advanced Excel
Introduction to Excel
• Basic Understanding Menu and Toolbar
• Introduction to different category of functions
• Basics, Mathematical and Statistical
• Date and Time, Logical
• Lookup and References
• Text and Information.
Mathematical Functions
• Sum, Sumif, Sumifs,
• Count, Counta, Countblank, Countif, Countifs
• Average, Averagea, Averageif, Averageifs,
• Subtotal, Aggregate, Rand, Randbetween,
• Roundup, Rounddown, Round, Sumproduct
Date & Time Function
• Date, Day, Month, Year,
• Edate, Eomonth, Networkdays,
• Workday, Weeknum, Weekday,
• Hour, Minute, Second,
• Now, Today, Time
•
Text Functions & Data Validation
• Char, Clean, Code, Concatenate
• Find, Search, Substitute, Replace
• Len, Right, Left, Mid, Lower, Upper, Proper,
Text, Trim, Value, Large
• Small Filters (Basic, Advanced, Conditional)
• Sort (Ascending, Descending, Cell/ Font Color)
• Conditional Formatting,
• Data Validation, Group & Ungroup
• Data split
Statistical Function & Other Functions
• Isna, Isblank, Iserr, Iseven, Isodd, Islogical,
Isytext
• Max, Min, Len, Right, Left
• Mid, ,Maxa, Maxifs, Median, Minifs, Mina
• Vara, Correl
•
Logical Function
• And
• Or
• If
• Iferror
• Not
• Nested If
Lookup & Reference Functions
• VLookup, HLookup, Index, Match,
• Offset, Indirect, Address,
• Column, Columns, Row, Rows, Choose,
• Arrays Concept In Lookup Formula’s,
• Past Special, Past link
Pivot Table - MIS, Data Analysis & Visualization
• Pivot Table
• What-if Analysis
• Data Table –One Variable and Two Variables,
• Data Analysis Using Statistics, Descriptive Statistics
• ANOVA
• Moving Average, Testing Hypothesis,
• Measuring Covariance and Correlation
• Distribution, Regression
• Graphs & Charts
• Analysis Tool Pack, Solver, Histogram, Pareto, Water Fall,
• Import and Export data
• Protect/Unprotect sheets/workbooks
• Worksheet formatting and Print Display
Data Collection Method
• With Data Quality, Collaboration & Security Like Share Your
Workbook On Share Drive With Quality
Analysis Single/Multidimensional Analysis
• Like Three Dimensional (3D) Tables
• Sensitive Analysis Like Data Table
• Manual What-If Analysis
• Threshold Values
• Goal Seek
• One-Variable Data Table
• Two-Variable Data Table
Advanced Dashboard in Excel
• Overview of Chart types
• Chart Formatting
• Active X Form Controls
• Principle of great dashboard design
• Selecting Correct Chart to display data
• Interactive Charts with Form Controls
• Combo box, Check Box, Scroll Bar and Radio Button
• Interactive Dashboard with Form Controls, Form Controls for
reports automation
• Data Modeling
Google Sheet – 2 Classes

5. 25+ Excel Assignments Two Live Projects

6. Live Project
Module-2- SQL
Introduction
• SQL Overview
• What is SQL?
• Installing the test environment
• Editors and Platforms to learn SQL
Complete SQL in a Class
• Introduction
• Quick-start
• Using the basic SELECT statement
• Selecting rows
• Selecting columns
• Counting rows
• Inserting data
• Updating data
• Deleting data
• Import and Export data
Fundamentals of SQL
• Databases and Tables
• SQL Syntax
• Data Definition
• Data Manipulation
• Data Control
• Transactional Control statements
• Creating tables
• Deleting a table
• Inserting rows into a table
• Deleting rows from a table
• What is NULL?
• Controlling column behaviors with constraints
• Changing a schema with ALTER
• Filtering data with WHERE, LIKE, and IN
• Removing duplicates with SELECT DISTINCT
• Sorting with ORDER BY
How Relationships Work in SQL
• Understanding joins
• Accessing related tables with JOIN
• Multiple related tables
Explaining SQL Strings
• About SQL strings
• Finding the length of a string
• Selecting part of a string
• Removing spaces with TRIM
• Making strings uppercase and lowercase
Number & SQL
• About numeric types
• Finding the type of a value
• Integer division and remainders
• Rounding numbers
SQL Functions and Clause
• The Aggregate functions
• MIN
• MAX
• AVG
• SUM and COUNT
• UPPER
• LENGTH
• LOWER
• The GROUP BY and HAVING clauses
• Grouping in a combination with joining
Triggers in SQL
• Concept of Trigger
• Create Trigger for:
• Insert
• Update
• Delete
• Alter Trigger
What are Sub-selects and Views in SQL
• Creating a simple sub-select
• Searching within a result set
• Creating a view
• Creating a joined view
Maintaining SQL Server Data Base
• Backup Database
• Restore Database
SQL Server Job Creation
• How to create job in SQL Server Agent
• How to schedule job

7. Module-3-Data Visualization- MS Power BI
Microsoft Power BI – Introduction
• What is MSPBI & Scope
• Learn the common work flow in Power BI
• Building blocks of Power BI and its relations
• Quick demo how to create a business dashboard
in MSPBI
• MSPBI components
MS Power BI - Getting Business Data
• Get data in shape for use with Power BI
• Combining two or more data sets (source data)
for reporting
• Tackling messy data in MS Power BI
• Clean & Transform data
MS Power BI -Data Visualization
• Create and customize visualization
• Use combination charts
• Create and format slicers
• Map visualizations, Visualizations utilization
• Use tables and matrixes
• Bubbles charts, scatter charts
• Advanced funnel and waterfall charts
• Drive fast dashboard insights with gauges and
numbers
• Color your visualization world with colors
• shapes and scales
• logo in reports and dashboards
• Display and present your dashboard in a way you
want with summarize data
• Control how your report elements overlap with
each other
• Learn to drill into hierarchies
• Manage how levels are shared (Z-order in reports)
MS Power BI - Data Exploring & Sharing
• Display and edit visuals- tiles
• Import excel table into Power BI
• Import excel files with data models and power
view sheets
• Quick insights in Power BI Service
• Create and configure a dashboard
• Share dashboard with your organization
• Connect One Drive for business to MSPBI
• Excel data in Power BI summary
MS Power BI - DAX (Data Analysis Expression) Application
Setting up Data Models with DAX
• DAX for creating tables and columns
• Rows vs. query vs. filter context
• DAX for calculated tables and columns
• Creating a date table
• Data cleaning with DAX (ISNULL, ISBLANK)
• Change data type with DAX (FORMAT, VALUES)
• Connecting data from different tables
• Methods to create DAX measures
• Using variables inside DAX
• Aggregate Quick Measure(MAX,MIN,AVERAGE)
• Time Intelligent Quick
Measure( YEAR,QUARTER,MONTH) –To-date Total
• Mathematical Quick Measure(ADDITION,
SUBTRACTION, MULTIPLICATION)
Power BI - Common DAX Measures
• Filtering and counting with DAX
• Understanding different filter functions
• Using different filters with DAX
• Filter ALL the data
• Calculating with a filter
• Analyzing across dimensional tables
• Iterating functions
• DIY iterating functions
• Iterating functions in Power BI (SUMX, COUNTX,
AVERAGEX, MAXX, MINX)
• Use of RANKX()
Power BI - Redefine DAX
• Logical functions in Power BI
• Interpreting SWITCH()
• IF() for formatting tables
• Exploring SWITCH()
• Grouping
• Row-level security
• Applying row-level security
• Managed roles in Power BI
• Implementing RLS
Power BI - Advanced DAX
• Table manipulation functions using DAX
• Summary of SUMMARIZE()
• SUMMARIZE() the facts
• ADDCOLUMNS()? No problem!
• Time intelligence functions(PREVIOUSMONTH,
PREVIOUSYEAR,PREVIOUSQTR,NEXTMONTH,NEXTYEAR,
NEXTQTR, TOTALYTD, TOTALMTD, TOTALQTD) in Power BI
• Use of SAMEPERIODLASTYEAR()

8. Module-4- Python
Python Data Science – An Introduction
• Introduction to Python
• Python Variables
• Data Types in Python
Python - Pandas
• Introduction to Pandas.
• Series Object in Pandas
• Data Frame in Pandas
• Merge Joint and Concetenate
• Importing and Anayzing Datasets
• Cleaning the Datasets
• Manipulating the Datasets
Python - Matplotlib
• Introduction
• HOW TO CREATE LINE CHART ?
• How to create bar Chart
• How to create Scatter Chart
• How to Create histogram Chart
• How to create Violin and Box Plot
• How to crate Pie and Donut Chart
• How to Create a Area Chart
Visulization on data Set
Python – Basic Construct
• Control flow Statement
• Functions
• Class and Objects
• File Handling
Python- Introduction to NumPy
• Introduction to NumPy
• INITIALIZING A NumPy ARRAY
• INSPECTING A NumPy ARRAY
• PERFORMING MATHEMATICAL FUNCTIONS USING
NumPy
Python- Advanced NumPy
• Indexing and Slicing
• NumPy Vs List
• SciPy Introduction
• Sub Package Cluster
Module-5- HR Round Interview Preparation
 Tell me about yourself
 Tell me about the gap in your resume
 How has your skills & experience prepared you for this
role?
 How would you rate yourself on a scale of 1 to 10?
 What are your greatest strengths and weaknesses?
 What is your biggest achievement so far?
 What do you know about the company?
 Where do you see yourself in 5 years?
 What are your salary expectations?
 Why are you looking for a change?
 How do you handle stress and pressure?

9. After Completion of 80% Course We Offer
Resume Designing
Services Mock up
Interview
Daily
Assignment
s Data for
Practice
Video
Recording
Interview
Questions
Offline & Online Classes
Weekdays Weekends Classes
Available Lifetime Validity