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Syllabus

Python

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 Database

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

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

Pandas

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

  • Matplotlib for 3-D visualization

  • Bar

  • Pie

  • Line

  • Histogram

  • Countplot

  • Boxplot

  • Heatmap

Machine Learning

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

Regression

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

Power Bi

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

Excel

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

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

  • 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

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. 

This comparative analysis will assist you in selecting the finest data analyst institute in Faridabad 

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

What is Data Analytics?

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.

What is the data analytics course duration?

The duration of a data analytics course can vary, but it typically ranges from 6 to 7 Months.

Who is eligible for data analytics?

Anyone, who has a strong analytical mindset and proficiency in programming, and a willingness to pursue a carrer in data analytics.

How long does it take to become a Data Analyst?

Becoming a good  Data Analyst may take 1 year or more. 

What kind of projects are included as part of the training?

We offer practical and project-based training which makes us different from other institutions.

Is it the best institute for data analyst in Faridabad?

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.

How do you train for data analytics?

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.

Is Python sufficient for learning data analytics?

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.

Does the job assistance program guarantee me a Job?

No, It’s not a job guarantee program, we train you for interviews and then conduct interviews after the completion of the course.

What is data analyst course eligibility?

Those students who are looking for a data analysis course must have a bachelor’s degree ideally in information technology then it is Best.

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AGGREGATE FUNCTIONS
  • MySQL count()
  • MySQL sum()
  • MySQL avg()
  • MySQL min()
  • MySQL max()
MYSQL JOIN

MySQL JOIN

DATA ANALYTICS

DATA PRE-PROCESSING/WRANGLING

NUMPY
  • Fundamentals of NumPy
  • Types of arrays in NumPy
        Ones
        Empty
        Zeros
        Create Random Array
  • Reshaping of the array
         1-D to 2-D array
         2-D to 3-D array
         3-D to 1-D array
  • Arithmetic operations on  Array
         Addition
         Subtraction
         Multiplication
         Exponential
  • Slicing of the array
        How to slice array
        Change in properties during slicing
  • 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
PANDAS
  • Data Frame
         What is Pandas Dataframe
         Different ways to create a Dataframe
        Read data from different sources and convert them to the Dataframe.
  • Pandas Series
        What is panda Series
        How to create a Panda Series.
  • Data inspection
         Using Count, info, head, tail.
         Using Shape, describe, unique, value etc
  • 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 and Columns
  • Arithmetic operations on rows and
    columns
  • Handle Duplicate value and Null value
  • Handle outlier data
  • 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
SCIKIT-LEARN
  • Scikit models
  • Preprocessing using Scikit learn
  • Classification using Scikit-learn
  • Clustering using Scikit-learn
  • Regression using Scikit-learn
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
HYPOTHESIS TESTING
  • Hypothesis testing and mechanism
  • Confidence interval
  • Margin of Errors
  • Confidence levels
  • T test and P values using python
  • Z test and P values using python
  • Chi Squared Distribution using python
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
RANDOM FOREST ALGORITHM
  • Why to use random Forest
  • Assumptions in random Forest
  • Working and Implementation of the Model
  • Data Pre-processing in Random Forest
SUPPORT VECTOR MACHINES
  • Types of SVM
  • Implementation of the SVM
  • Creating confusion matrix
NAIVE BAYES CLASSIFIER ALGORITHM
  • Bayes Theoram
  • Implementation of Naïve Bayes
    Classifier
  • Type of Naïve Bayes Model
JAVASCRIPT EVENTS

Event listeners and handlers
Mouse events
Keyboard events

DOCUMENT OBJECT MODEL (DOM)

Accessing and manipulating HTML elements
DOM navigation and manipulation
Creating and removing HTML elements

1. INTRODUCTION TO REACT.JS

What is React.js?
History and evolution of React.js
React.js components and their role in
building web applications
Setting up the development environment

JSX

Introduction to JSX
Basic syntax and rules of JSX
Embedding expressions in JSX
Conditional rendering in JSX
Working with lists in JSX

REACT COMPONENTS

Understanding components
Creating class components
Creating functional components
Props and state in React components
Lifecycle methods in React components

REACT EVENTS

Handling events in React
Binding event handlers in React
Passing data to event handlers in React
Conditional rendering based on events in
React

REACT FORMS

Creating forms in React
Handling form submission in React
Controlled and uncontrolled components
in React

REACT ROUTING

Introduction to React Router
Setting up routing in React
Creating routes in React

INTRODUCTION TO MONGODB

What is MongoDB?
Advantages of MongoDB over RDBMS
MongoDB data model and architecture
Setting up the development environment

CRUD OPERATIONS

Creating and inserting documents in
MongoDB
Reading documents from MongoDB
Updating documents in MongoDB
Deleting documents from MongoDB

QUERYING MONGODB

Querying MongoDB using find() method
Querying MongoDB using comparison and
logical operators
Querying MongoDB using regular
expressions
Querying MongoDB using aggregation
framework

INTRODUCTION TO NODE.JS

What is Node.js?
Advantages of Node.js over other serverside technologies
Node.js architecture and event-driven
programming model
Setting up the development environment

NODE.JS MODULES

Introduction to Node.js modules
Creating and using built-in modules
Creating and using custom modules
Working with NPM (Node Package
Manager)

NODE.JS HTTP

Creating HTTP server in Node.js
Understanding HTTP methods and status
codes
Handling HTTP requests and responses
Serving static files in Node.js

EXPRESS.JS FRAMEWORK

Introduction to Express.js framework
Creating and configuring Express.js
application
Handling HTTP requests and responses in
Express.js
Implementing middleware in Express.js

NODE.JS DATABASE CONNECTIVITY

Introduction to database connectivity in
Node.js
Connecting to MongoDB database in
Node.js
Performing CRUD operations in Node.js
using MongoDB
Using Mongoose ORM with MongoDB in
Node.js

NODE.JS SECURITY

Introduction to security in Node.js
Understanding and implementing
authentication and authorization in
Node.js
Implementing HTTPS in Node.js
Preventing common security vulnerabilities
in Node.js

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