Data Analyst Course
in Faridabad
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Data Analyst
Course
in Faridabad
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What Roles can
Data Analyst play ?
What Roles can
Data Analyst play ?
Data Analyst course which helps you to land into high paying Job roles like..!
Data
Scientist
Business
Analyst
Data Analyst Manager
Financial Analyst
Data Visualization Specialist
Data
Scientist
Business
Analyst
Data Analyst
Manager
Financial
Analyst
Data Visualization
Specialist
How does the Data Analyst course work?
Join the Best Data Analyst Course in Faridabad
Dreamer Infotech offers the best Data Analyst course in Faridabad, We offer an exceptional learning experience with expert faculty, Comprehensive Curriculum, Hands-on Projects, and 100% Placement Assistance. We also organize recruitment drives and connect you with leading companies seeking data science professionals. So Don’t miss out on the opportunity to upscale your skills with the best data analytics program. Dreamer is the No.1 Data Analyst Course across Delhi/NCR and our different Data Analyst course keeps DREAMER always on top among all its competitors. Data Analyst Course in Faridabad offered by DREAMER covers all the latest Modules and topics that are required in this course.
Who can Enroll for Data Analyst Course?
We believe there’s no restriction on learning a new skill.Â
Students
Job seekers
Working Professionals
Entreprenuers
Skills You Will Master In Data Analyst Course
PYTHON
GIT
SQL
DATA VISUALIZATION
DATA ANALYSIS
AI
DATA WRANGLING
Power Bi
Skills You Will Master In Data Analyst Course
Python
Git
Data
Analysis
Data
Wrangling
SQL
Data Vislualization
AI
Power Bi
What Makes Us Different
2-3 MONTHS INTERNSHIP
LIFETIME SUPPORT
AFFORDABLE FEE
1 : 1 DOUBT SESSION
Guaranteed
Two Month Internship
Secure Your Two-Month Internship Experience.
Lifetime
Student Support
Your Success, Our Commitment.
1 : 1
Doubt Session
Your Satisfaction, Our Promise.
Learn To Leverage ChatGPT
in Data Analyst Course
ChatGPT can assist in data analysis by answering questions, generating insights from data, helping with data interpretation, and providing guidance on data-related tasks. Just ask a question or provide data, and ChatGPT can offer explanations, suggestions, and clarity All the additional information that how to use Prompts in ChatGPT we will cover all the necessary steps in this Data Analyst course..
Analyst Tools
Master all these tools in Data Analyst Course to drive results in today’s competitive landscape.
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Join Best Data Analyst Course in Faridabad
Data Analyst Course
Syllabus
INTRODUCTION
-
Getting Started
-
Why Python?
-
Installing Python
-
IDLE
-
Running First Python Programs
PYTHON BASICS
-
Keywords and Identifiers
-
Python Variables
-
Statements & Comments
-
Basic Data Types (Numbers, Strings, Booleans)
-
Python Type Conversion
-
Python Operators
PYTHON FLOW CONTROL
-
Python if…else
-
Simple if statement
-
If else statement
-
Elif statement
-
Nested if statement
-
-
Python for Loop
-
Python while Loop
-
Python break and continue
-
Python Pass
PYTHON COLLECTION
-
Python List
-
Python Tuple
-
Python String
-
Python Set
-
Python Dictionary
PYTHON FUNCTIONS
-
Python Functions
-
Built-in
-
User-defined
-
-
Scope of Variable
-
Function Argument
-
Python Recursion
-
Anonymous Function (Lambda)
-
Python Global Keyword
PYTHON MODULES
-
Modules
-
User Defined Modules
-
Built-in Modules
-
OS Module
-
Math Module
-
Random Module
-
Date Time Module
FILE AND EXCEPTION HANDLING
-
Python File Handling
-
Writing Data to File
-
Reading Data from File
-
-
Python Exception
-
Python Exception Handling
-
Python User-defined Exception
PYTHON OBJECT & CLASS
-
Python OOP
-
Python Class
-
Python Inheritance
-
Multiple Inheritance
-
Operator Overloading
-
Polymorphism
-
Encapsulation
MYSQL INTRODUCTION
-
What is MYSQL
-
MySQL History
-
MySQL Features
-
MySQL Data Types
-
Install MySQL
MYSQL DATABASE
-
Create Database
-
Select Database
-
Drop Database
MYSQL TABLE
-
CREATE Table
-
ALTER Table
-
TRUNCATE Table
-
DROP Table
-
MySQL Views
MYSQL CLAUSES
-
MySQL WHERE
-
MySQL DISTINCT
-
MySQL FROM
-
MySQL ORDER BY
-
MySQL GROUP BY
-
MySQL HAVING
MYSQL QUERIES
-
MySQL Queries
-
INSERT Record
-
UPDATE Record
-
DELETE Record
-
SELECT Record
MYSQL CONDITIONS
-
MySQL AND
-
MySQL OR
-
MySQL AND OR
-
MySQL LIKE
-
MySQL IN
-
MySQL NOT
MYSQL JOIN
-
MySQL JOIN
AGGREGATE FUNCTIONS
-
MySQL count()
-
MySQL sum()
-
MySQL avg()
-
MySQL min()
-
MySQL max()
OTHER MYSQL TOPICS
-
MySQL IS NULL
-
MySQL IS NOT NULL
-
MySQL BETWEEN
MYSQL STRING FUNCTIONS
-
MySQL String
MYSQL DATE/TIME FUNCTIONS
-
MySQL Date/Time
MYSQL MATH FUNCTIONS
-
MySQL Math
-
Math SQRT() function
-
Math SUM() function
-
Math LOG() function
-
Math LOG2() function
-
Math MAX() function
-
Math MIN() function
-
Math MOD() function
-
Math PI() function
-
Math POWER() function
-
Math POW() function
-
Math RADIANS() function
-
Math RAND() function
-
Math ROUND() function
NUMPY
-
Fundamentals of NumPy
-
Types of arrays in NumPy
ARRAY CREATION
-
Ones
-
Empty
-
Zeros
-
Create Random Array
RESHAPING
-
1-D to 2-D array
-
2-D to 3-D array
-
3-D to 1-D array
OPERATIONS
-
Arithmetic operations on Array
-
Addition
-
Subtraction
-
Multiplication
-
Exponential
-
SLICING
-
How to slice array
-
Change in properties during slicing
MATRIX
-
Transpose of a matrix
-
How to take transpose
-
Rows and columns while taking transpose
-
-
Dot product of the matrix
-
How to take Dot product of the Matrix
-
DATAFRAME
-
What is Pandas Dataframe
-
Different ways to create a Dataframe
-
Read data from different sources and convert them to the Dataframe
SERIES
-
What is panda Series
-
How to create a Panda Series
DATA INSPECTION
-
Using Count, info, head, tail
-
Using Shape, describe, unique, value
DATA SLICING
-
Data Slicing loc and iloc
DATAFRAME OPERATIONS
-
How to create a column or row
-
How to delete a column or row
OPERATIONS ON ROWS & COLUMNS
-
Drop
-
Rename
-
Replace
ARITHMETIC OPERATIONS
-
Min
-
Max
-
Sum
-
Mean
-
Count
DATA CLEANING
-
Handle Duplicate value and Null value
-
Drop Duplicates
-
NaN values
OUTLIERS
-
Handle outlier data
-
Dropping the outliers
-
ADVANCED
-
Group by Operations
-
Data Reshaping
-
Merging, Joining, Concatenation and append
-
Time series
MATPLOTLIB
-
Matplotlib for 3-D visualization
-
Bar
-
Pie
-
Line
-
Histogram
-
Countplot
-
Boxplot
-
Heatmap
STATISTICS
-
Scalar and vector
-
Introduction to linear algebra
-
Measure of central tendency mean
-
Measure of central tendency mode
-
Measure of central tendency mode
-
Variance
-
Standard deviation
-
Measure of shape skewness
-
Measure of shape kurtosis
-
Covariance and correlation
PROBABILITY
-
Importance of probability
-
Discrete and continuous variable
-
Bayes Theorem
-
Central Limit theorem
-
Normal Distribution
-
Bernoulli distribution
-
Uniform Distribution
LINEAR REGRESSION
-
Types of variables
-
Types of Linear variables
-
Mathematics Behind it
-
Implementation of the model
-
Testing and Check Performance of the model
-
Assumptions of the Linear Regression
POLYNOMIAL REGRESSION
-
Need of polynomial Regression
-
Types of Variables in the Polynomial regression
-
Mathematics behind it
-
Implementation of the model
-
Testing and check performance of the model
MULTIPLE REGRESSION
-
Need of multiple Regression
-
Mathematics behind it
-
Implementation of the model
-
Testing and check performance of the model
INTRODUCTION TO POWER BI
-
Overview of BI concepts
-
Why we need BI?
-
Introduction to SSBI
-
SSBI Tools
-
Why Power BI?
-
What is Power BI?
-
Building Blocks of Power BI
-
Getting started with Power BI Desktop
-
Get Power BI Tools
-
Introduction to Tools and Terminology
-
Dashboard in Minutes
-
Refreshing Power BI Service Data
-
Interacting with your Dashboards
-
Sharing Dashboards and Reports
POWER BI DESKTOP
-
Power BI Desktop
-
Extracting data from various sources
-
Workspaces in Power BI
DATA TRANSFORMATION
-
Data Transformation
-
Measures and Calculated Columns
-
Query Editor
DATA ANALYSIS EXPRESSIONS (DAX)
-
What is DAX?
-
Data Types in DAX
-
Calculation Types
-
Syntax, Functions, Context Options
-
DAX Functions
Types of Functions
-
Date and Time
-
Time Intelligence
-
Information
-
Logical or Mathematical
-
Statistical
-
Text and Aggregate
Advanced DAX
-
Measures in DAX
-
ROW Context and Filter Context in DAX
-
Operators in DAX – Real-time Usage
-
Quick Measures in DAX – Auto validations
-
PowerPivot xVelocity & Vertipaq Store
-
In-Memory Processing: DAX Performance
MODELLING WITH POWER BI
-
Introduction to Modelling
-
Optimize Data Models
-
Setup and Manage Relationships
-
Cardinality and Cross Filtering
-
Default Summarization & Sort by
-
Creating Calculated Columns
-
Creating Measures & Quick Measures
POWER BI VISUALISATIONS
Basics
-
How to use Visual in Power BI?
-
What Are Custom Visuals?
-
Creating Visualisations and Colour
-
Formatting
-
Setting Sort Order
Charts & Visuals
-
Scatter & Bubble Charts & Play Axis
-
Tables, Matrices & Conditional Formatting
-
KPI’s, Cards & Gauges
-
Map Visualizations
Filters & Interaction
-
Tooltips and Slicers
-
Timeline Slicers & Sync Slicers
-
Cross Filtering and Highlighting
-
Visual, Page and Report Level Filters
Advanced Features
-
Drill Down/Up
-
Hierarchies and Reference/Constant Lines
-
Custom Visuals
-
Managing and Arranging
-
Drill through and Custom Report Themes
-
Grouping and Binning and Selection Pane
-
Bookmarks & Buttons
-
Data Binding and Power BI Report Server
POWER BI Q&A & DATA INSIGHTS
-
Why Dashboard? and Dashboard vs Reports
-
Creating Dashboards
-
Configuring a Dashboard (Dashboard Tiles, Pinning Tiles)
-
Power BI Q&A
-
Quick Insights in Power BI
-
Power BI Embedded and REST API
DIRECT CONNECTIVITY
-
Custom Data Gateways
-
Exploring live connections to data with Power BI
-
Connecting directly to:
-
SQL Azure
-
HD Spark
-
SQL Server Analysis Services
-
MySQL
-
-
Introduction to Power BI Development API
-
Excel with Power BI
-
Connect Excel to Power BI
-
Power BI Publisher for Excel
-
-
Content packs
-
Update content packs
PUBLISHING AND SHARING
-
Introduction and Sharing Options
-
Overview
-
Publish from Power BI Desktop
-
Publish to Web
Sharing
-
Share Dashboard with Power BI Service
-
Workspaces and Apps (Power BI Pro)
-
Content Packs (Power BI Pro)
Export & Security
-
Print or Save as PDF
-
Row Level Security (Power BI Pro)
-
Export Data from a Visualization
-
Publishing for Mobile Apps
-
Export to PowerPoint
-
Sharing Options Summary
REFRESHING DATASETS
-
Understanding Data Refresh
-
Personal Gateway (Power BI Pro and 64-bit Windows)
-
Replacing a Dataset and Troubleshooting Refreshing
INTRODUCTION TO EXCEL
-
What is Excel
-
Why to use Excel
-
Introduction of Spreadsheet
FORMATTING & PROOFING
-
Font
-
Alignment
-
Number
-
Border
MATHEMATICAL FUNCTIONS
Basic Functions
-
Sum
-
Average
-
Countnumber
-
Max
-
Min
-
Absolute
Counting Functions
-
Count
-
Counta
-
Countblank
-
Countif
-
Countifs
Conditional Functions
-
Sum
-
Sumif
-
Averageif
-
Averageifs
TEMPLATES IN EXCEL
-
Templates usage
SECURITY IN EXCEL
-
File-level protection
-
Workbook level protection
-
Worksheet level protection
ADVANCE PASTE TECHNIQUE
-
Paste formulas
-
Paste formats
-
Paste validation
TEXT FUNCTIONS
-
Upper
-
Lower
-
Proper
-
Left
-
Mid
-
Right
-
Trim
-
Len
-
Concatenate
-
Find
-
Substitute
DATE & TIME FUNCTIONS
-
Today
-
Now
-
Day
-
Month
-
Year
-
Date
-
Date if
-
Date Add
-
EOMonth
-
Weekday
FILTERING
-
Filter
-
Advance Filter
SORTING
-
Sorting
-
Advance Sorting
SHORTCUTS
-
Various Shortcuts
CONDITIONAL FORMATTING
-
Conditional Formatting
OFFSET FUNCTION
-
Offset Function combined with Sum or Average
ARRAY FORMULAS
-
Array Formulas
EXCEL TABLES
-
Excel Table and their use
DATA VALIDATION
-
Number validation
-
Date and time validation
-
Text and list validation
-
Custom validation based on formula
-
Dynamic dropdown list creation
CONSOLIDATION
-
Consolidation
WHAT-IF ANALYSIS
-
Goal Seek
-
Scenario Analysis
-
Data Table
LOGICAL FUNCTIONS
-
If function
-
Nested if function
-
Complex if and/or function
LOOKUP FUNCTIONS
-
Vlookup
-
Hlookup
-
Index and Match
PIVOT TABLE
-
Pivot Table in Excel
GROUPING
-
Group
-
Ungroup
-
Subtotals
CHARTS & SHAPES
-
Chart in Excel
-
Shape in Excel
MACROS
-
Macros
- Python
- MySQL Database
- Numpy
- Pandas
- Matplotlib
- Machine Learning
- Regression
- Power Bi
- Excel
INTRODUCTION
-
Getting Started
-
Why Python?
-
Installing Python
-
IDLE
-
Running First Python Programs
PYTHON BASICS
-
Keywords and Identifiers
-
Python Variables
-
Statements & Comments
-
Basic Data Types (Numbers, Strings, Booleans)
-
Python Type Conversion
-
Python Operators
PYTHON FLOW CONTROL
-
Python if…else
-
Simple if statement
-
If else statement
-
Elif statement
-
Nested if statement
-
-
Python for Loop
-
Python while Loop
-
Python break and continue
-
Python Pass
PYTHON COLLECTION
-
Python List
-
Python Tuple
-
Python String
-
Python Set
-
Python Dictionary
PYTHON FUNCTIONS
-
Python Functions
-
Built-in
-
User-defined
-
-
Scope of Variable
-
Function Argument
-
Python Recursion
-
Anonymous Function (Lambda)
-
Python Global Keyword
PYTHON MODULES
-
Modules
-
User Defined Modules
-
Built-in Modules
-
OS Module
-
Math Module
-
Random Module
-
Date Time Module
FILE AND EXCEPTION HANDLING
-
Python File Handling
-
Writing Data to File
-
Reading Data from File
-
-
Python Exception
-
Python Exception Handling
-
Python User-defined Exception
PYTHON OBJECT & CLASS
-
Python OOP
-
Python Class
-
Python Inheritance
-
Multiple Inheritance
-
Operator Overloading
-
Polymorphism
-
Encapsulation
MYSQL INTRODUCTION
-
What is MYSQL
-
MySQL History
-
MySQL Features
-
MySQL Data Types
-
Install MySQL
MYSQL DATABASE
-
Create Database
-
Select Database
-
Drop Database
MYSQL TABLE
-
CREATE Table
-
ALTER Table
-
TRUNCATE Table
-
DROP Table
-
MySQL Views
MYSQL CLAUSES
-
MySQL WHERE
-
MySQL DISTINCT
-
MySQL FROM
-
MySQL ORDER BY
-
MySQL GROUP BY
-
MySQL HAVING
MYSQL QUERIES
-
MySQL Queries
-
INSERT Record
-
UPDATE Record
-
DELETE Record
-
SELECT Record
MYSQL CONDITIONS
-
MySQL AND
-
MySQL OR
-
MySQL AND OR
-
MySQL LIKE
-
MySQL IN
-
MySQL NOT
MYSQL JOIN
-
MySQL JOIN
AGGREGATE FUNCTIONS
-
MySQL count()
-
MySQL sum()
-
MySQL avg()
-
MySQL min()
-
MySQL max()
OTHER MYSQL TOPICS
-
MySQL IS NULL
-
MySQL IS NOT NULL
-
MySQL BETWEEN
MYSQL STRING FUNCTIONS
-
MySQL String
MYSQL DATE/TIME FUNCTIONS
-
MySQL Date/Time
MYSQL MATH FUNCTIONS
-
MySQL Math
-
Math SQRT() function
-
Math SUM() function
-
Math LOG() function
-
Math LOG2() function
-
Math MAX() function
-
Math MIN() function
-
Math MOD() function
-
Math PI() function
-
Math POWER() function
-
Math POW() function
-
Math RADIANS() function
-
Math RAND() function
-
Math ROUND() function
-
Fundamentals of NumPy
-
Types of arrays in NumPy
Array Creation
-
Ones
-
Empty
-
Zeros
-
Create Random Array
Reshaping
-
1-D to 2-D array
-
2-D to 3-D array
-
3-D to 1-D array
Operations
-
Arithmetic operations on Array
-
Addition
-
Subtraction
-
Multiplication
-
Exponential
-
Slicing
-
How to slice array
-
Change in properties during slicing
Matrix
-
Transpose of a matrix
-
How to take transpose
-
Rows and columns while taking transpose
-
-
Dot product of the matrix
-
How to take Dot product of the Matrix
-
DATAFRAME
-
What is Pandas Dataframe
-
Different ways to create a Dataframe
-
Read data from different sources and convert them to the Dataframe
SERIES
-
What is panda Series
-
How to create a Panda Series
DATA INSPECTION
-
Using Count, info, head, tail
-
Using Shape, describe, unique, value
DATA SLICING
-
Data Slicing loc and iloc
DATAFRAME OPERATIONS
-
How to create a column or row
-
How to delete a column or row
OPERATIONS ON ROWS & COLUMNS
-
Drop
-
Rename
-
Replace
ARITHMETIC OPERATIONS
-
Min
-
Max
-
Sum
-
Mean
-
Count
DATA CLEANING
-
Handle Duplicate value and Null value
-
Drop Duplicates
-
NaN values
OUTLIERS
-
Handle outlier data
-
Dropping the outliers
-
ADVANCED
-
Group by Operations
-
Data Reshaping
-
Merging, Joining, Concatenation and append
-
Time series
-
Matplotlib for 3-D visualization
-
Bar
-
Pie
-
Line
-
Histogram
-
Countplot
-
Boxplot
-
Heatmap
STATISTICS
-
Scalar and vector
-
Introduction to linear algebra
-
Measure of central tendency mean
-
Measure of central tendency mode
-
Measure of central tendency mode
-
Variance
-
Standard deviation
-
Measure of shape skewness
-
Measure of shape kurtosis
-
Covariance and correlation
PROBABILITY
-
Importance of probability
-
Discrete and continuous variable
-
Bayes Theorem
-
Central Limit theorem
-
Normal Distribution
-
Bernoulli distribution
-
Uniform Distribution
LINEAR REGRESSION
-
Types of variables
-
Types of Linear variables
-
Mathematics Behind it
-
Implementation of the model
-
Testing and Check Performance of the model
-
Assumptions of the Linear Regression
POLYNOMIAL REGRESSION
-
Need of polynomial Regression
-
Types of Variables in the Polynomial regression
-
Mathematics behind it
-
Implementation of the model
-
Testing and check performance of the model
MULTIPLE REGRESSION
-
Need of multiple Regression
-
Mathematics behind it
-
Implementation of the model
-
Testing and check performance of the model
INTRODUCTION TO POWER BI
-
Overview of BI concepts
-
Why we need BI?
-
Introduction to SSBI
-
SSBI Tools
-
Why Power BI?
-
What is Power BI?
-
Building Blocks of Power BI
-
Getting started with Power BI Desktop
-
Get Power BI Tools
-
Introduction to Tools and Terminology
-
Dashboard in Minutes
-
Refreshing Power BI Service Data
-
Interacting with your Dashboards
-
Sharing Dashboards and Reports
POWER BI DESKTOP
-
Power BI Desktop
-
Extracting data from various sources
-
Workspaces in Power BI
DATA TRANSFORMATION
-
Data Transformation
-
Measures and Calculated Columns
-
Query Editor
DATA ANALYSIS EXPRESSIONS (DAX)
-
What is DAX?
-
Data Types in DAX
-
Calculation Types
-
Syntax, Functions, Context Options
-
DAX Functions
Types of Functions
-
Date and Time
-
Time Intelligence
-
Information
-
Logical or Mathematical
-
Statistical
-
Text and Aggregate
Advanced DAX
-
Measures in DAX
-
ROW Context and Filter Context in DAX
-
Operators in DAX – Real-time Usage
-
Quick Measures in DAX – Auto validations
-
PowerPivot xVelocity & Vertipaq Store
-
In-Memory Processing: DAX Performance
MODELLING WITH POWER BI
-
Introduction to Modelling
-
Optimize Data Models
-
Setup and Manage Relationships
-
Cardinality and Cross Filtering
-
Default Summarization & Sort by
-
Creating Calculated Columns
-
Creating Measures & Quick Measures
POWER BI VISUALISATIONS
Basics
-
How to use Visual in Power BI?
-
What Are Custom Visuals?
-
Creating Visualisations and Colour
-
Formatting
-
Setting Sort Order
Charts & Visuals
-
Scatter & Bubble Charts & Play Axis
-
Tables, Matrices & Conditional Formatting
-
KPI’s, Cards & Gauges
-
Map Visualizations
Filters & Interaction
-
Tooltips and Slicers
-
Timeline Slicers & Sync Slicers
-
Cross Filtering and Highlighting
-
Visual, Page and Report Level Filters
Advanced Features
-
Drill Down/Up
-
Hierarchies and Reference/Constant Lines
-
Custom Visuals
-
Managing and Arranging
-
Drill through and Custom Report Themes
-
Grouping and Binning and Selection Pane
-
Bookmarks & Buttons
-
Data Binding and Power BI Report Server
POWER BI Q&A & DATA INSIGHTS
-
Why Dashboard? and Dashboard vs Reports
-
Creating Dashboards
-
Configuring a Dashboard (Dashboard Tiles, Pinning Tiles)
-
Power BI Q&A
-
Quick Insights in Power BI
-
Power BI Embedded and REST API
DIRECT CONNECTIVITY
-
Custom Data Gateways
-
Exploring live connections to data with Power BI
-
Connecting directly to:
-
SQL Azure
-
HD Spark
-
SQL Server Analysis Services
-
MySQL
-
-
Introduction to Power BI Development API
-
Excel with Power BI
-
Connect Excel to Power BI
-
Power BI Publisher for Excel
-
-
Content packs
-
Update content packs
PUBLISHING AND SHARING
-
Introduction and Sharing Options
-
Overview
-
Publish from Power BI Desktop
-
Publish to Web
Sharing
-
Share Dashboard with Power BI Service
-
Workspaces and Apps (Power BI Pro)
-
Content Packs (Power BI Pro)
Export & Security
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Print or Save as PDF
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Row Level Security (Power BI Pro)
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Export Data from a Visualization
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Publishing for Mobile Apps
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Export to PowerPoint
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Sharing Options Summary
REFRESHING DATASETS
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Understanding Data Refresh
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Personal Gateway (Power BI Pro and 64-bit Windows)
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Replacing a Dataset and Troubleshooting Refreshing
INTRODUCTION TO EXCEL
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What is Excel
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Why to use Excel
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Introduction of Spreadsheet
FORMATTING & PROOFING
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Font
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Alignment
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Number
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Border
MATHEMATICAL FUNCTIONS
Basic Functions
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Sum
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Average
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Countnumber
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Max
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Min
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Absolute
Counting Functions
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Count
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Counta
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Countblank
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Countif
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Countifs
Conditional Functions
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Sum
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Sumif
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Averageif
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Averageifs
TEMPLATES IN EXCEL
-
Templates usage
SECURITY IN EXCEL
-
File-level protection
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Workbook level protection
-
Worksheet level protection
ADVANCE PASTE TECHNIQUE
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Paste formulas
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Paste formats
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Paste validation
TEXT FUNCTIONS
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Upper
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Lower
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Proper
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Left
-
Mid
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Right
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Trim
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Len
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Concatenate
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Find
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Substitute
DATE & TIME FUNCTIONS
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Today
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Now
-
Day
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Month
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Year
-
Date
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Date if
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Date Add
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EOMonth
-
Weekday
FILTERING
-
Filter
-
Advance Filter
SORTING
-
Sorting
-
Advance Sorting
SHORTCUTS
-
Various Shortcuts
CONDITIONAL FORMATTING
-
Conditional Formatting
OFFSET FUNCTION
-
Offset Function combined with Sum or Average
ARRAY FORMULAS
-
Array Formulas
EXCEL TABLES
-
Excel Table and their use
DATA VALIDATION
-
Number validation
-
Date and time validation
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Text and list validation
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Custom validation based on formula
-
Dynamic dropdown list creation
CONSOLIDATION
-
Consolidation
WHAT-IF ANALYSIS
-
Goal Seek
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Scenario Analysis
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Data Table
LOGICAL FUNCTIONS
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If function
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Nested if function
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Complex if and/or function
LOOKUP FUNCTIONS
-
Vlookup
-
Hlookup
-
Index and Match
PIVOT TABLE
-
Pivot Table in Excel
GROUPING
-
Group
-
Ungroup
-
Subtotals
CHARTS & SHAPES
-
Chart in Excel
-
Shape in Excel
MACROS
-
Macros
Highlights
Here are the Success Journey of
Data Analyst Course
5000+
Students Trained
15+
Live Projects
99%
Placemnets Record
5.3 LPA
Highest CTC
Highlights
Here are the Success Journey of Data Analyst Course
5000+
Students Trained
15+
Live Projects
99%
Placements Record
12 LPA
Highest CTC
Need Consultation?
Dreamer Infotech Vs Other Institutes
If you’re seeking for best data analyst course in Faridabad, it’s crucial to conduct a comprehensive comparison.Â
This comparative analysis will assist you in selecting the finest data analyst institute in FaridabadÂ
and the NCR region.
Keypoints to Compare
-
160 Hours of Training (6 Months)
-
3 Months Internship
-
20+ Tools
-
15+ Live Projects
-
Industry Experts Trainer
-
Unlimited Backup Sessions
-
Monthly Updated Curriculum
-
Personality Development Classes
-
100% Guaranteed Placements
Dreamer Infotech
Other's
Comparison
Why Choose Us?
Dreamer Infotech
Other's
160 Hours of Training
(4 Months)
3 Months Internship
20+ Tools
15+ Live Projects
Industry Experts Trainers
Unlimited Backup Sessions
Monthly Updated Curriculum
100% Placements Assurance
10K+ Students in Faridabad Enhanced their Skills with Dreamer Infotech
Frequently Asked Questions
Data Analytics is the procedure of filtering, converting, and visualizing data. And learning Data Science helps in carrier Opportunities including finance Healthcare, Marketing, and Technology.
The duration of a data analytics course can vary, but it typically ranges from 6 to 7 Months.
Anyone, who has a strong analytical mindset and proficiency in programming, and a willingness to pursue a carrer in data analytics.
Becoming a good Data Analyst may take 1 year or more.Â
We offer practical and project-based training which makes us different from other institutions.
Yes, Our institute is well-recognized as one of the best data analytics institutes. Our comprehensive curriculum, Industry experienced faculty, and hands-on projects make us the preferred choice among students and professional seekers.
We train our students for data analytics through a comprehensive curriculum that includes practical assignments and assignments based on industry case studies. We are providing real-world experience and skills to our students.
Yes, Python is majorly used and very suitable for data science due to its rich ecosystem of libraries and tools which are specifically designed for data analysis, manipulation, and visualization.
No, It’s not a job guarantee program, we train you for interviews and then conduct interviews after the completion of the course.
Those students who are looking for a data analysis course must have a bachelor’s degree ideally in information technology then it is Best.