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beginner to advance :
Master SEO to boost your business and
career growth!

beginner to advance :
Master SEO to boost your business and career growth!

Master the execution of SEO strategies and gain a competitive edge over fellow marketers with just 10 hours of dedicated learning.

Nitesh Tiwari

Founder and CEO

Who is This course For ?

Start Learning from today for just ₹ 1999, ₹ 4999

What will you learn in the course ?

Fundamentals Of SEO and Algorithm

Mastering Content for SEO

Mastering Technical SEO

Enhancing Link Profile

E-Commerce and Local SEO

International SEO

Future of SEO

Time is running out

Days
Hours
Minutes
Seconds

Grab your spot First

By the end of the course you’ll have a clear roadmap on how to

Start Learning from today for just ₹ 1999, ₹ 4999

Get Instant Access to 10+ hours of learning content

Meet your trainer:

Nitesh Tiwari

Founder and CEO

Hello! I'm Nitesh, boasting over 20+ years of expertise in fueling company growth through digital marketing and eCommerce.

Formerly leading SEO at Myntra for 2+ years, I founded Dreamer, a company specializing in organic search solutions like SEO, ASO, and CRO to facilitate digital brand growth. My ongoing collaboration with Myntra contributed to multiple award-winning SEO campaigns, fostering the brand's organic expansion.

With featured columns in esteemed publications such as YourStory and Entrepreneur, my dedication to SEO has solidified my position as a prominent voice in the industry.

After fueling expansion for various international brands including ICICI Prudential Life Insurance, FlipKart, & Zivame, my current goal is to empower the upcoming generation of marketers in elevating their brands through organic strategies.

I have worked with brands like

Get the offer while it lasts!

SEO On-Demand
Course Launch Offer
(Save ₹3,000)

SEO On-Demand
Course Launch Offer (Save ₹3,000)

₹1,999 ₹4,999

₹1,999 ₹4,999

Note: No exceptions would be made beyond the offer expiry date.

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What you'll get...

Frequently Asked Questions

It's a self paced course. Once you purchase the course, you will get access to it within the next 5 minutes and you can watch all the videos at your own pace and also complete the assignments included in the same.

It's a self paced course. Once you purchase the course, you will get access to it within the next 5 minutes and you can watch all the videos at your own pace and also complete the assignments included in the same.

It's a self paced course. Once you purchase the course, you will get access to it within the next 5 minutes and you can watch all the videos at your own pace and also complete the assignments included in the same.

It's a self paced course. Once you purchase the course, you will get access to it within the next 5 minutes and you can watch all the videos at your own pace and also complete the assignments included in the same.

Start Learning from today for just ₹ 1999, ₹ 4999

Start Learning from today for just ₹ 1999, ₹ 4999

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

Need Consultation?

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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