DIGITAL MARKETING COURSE TRAINING IN HYDERABAD

About LearnAi.co.in

LearnAI.co.in, a leading training institute, offers a comprehensive digital marketing course tailored to cater to individuals at all proficiency levels. Our program starts by providing beginners with a solid foundation, ensuring they grasp the fundamental concepts of digital marketing, including SEO. Intermediate learners benefit from advanced modules focusing on strategies like content marketing, social media management, and email marketing, all designed to enhance their existing knowledge. For experts, we offer specialized, in-depth SEO training, covering cutting-edge techniques and trends to keep them at the forefront of the industry. Our human-readable approach ensures that all students, regardless of their skill level, gain practical skills to excel in the dynamic world of digital marketing.

Upcoming Batches

CourseBranchTraining TypeWeekDay
Digital MarketingDilsukhnagarHybrid1stWednesday
Digital MarketingDilsukhnagarHybrid2ndMonday
Digital MarketingDilsukhnagarHybrid3rdWednesday
Digital MarketingDilsukhnagarHybrid4thMonday

What is Digital Marketing?

Digital marketing is the way businesses use the internet to promote their products or services to people online. It involves things like websites, social media, and online advertising to connect with and attract potential customers.

Why to learn Digital Marketing?

In today's digital age, learning digital marketing is essential for career growth as it opens doors to a wide range of job opportunities in a rapidly evolving industry. With businesses increasingly relying on digital strategies, mastering this skill can lead to higher demand for your expertise and potentially greater earning potential.

Who can Pursue Digital Marketing?

  • Any Degree pursuing or Graduated,
  • Bachelor’s, Master’s, PhD, and
  • Anyone interested in course
Enroll to Course Now

COURSE CURRICULUM

Python

  • Introduction
  • Installation
  • Fundamental of Python
  • Variables
  • Comments
  • Print Statement
  • Operators
  • Mutable Data Types
  • Data Types
  • Special Data Types
  • Conditions
  • Loops
  • Functions
  • Break, Continue and Pass Statements
  • String Object and working
  • List
  • Tuple
  • Set
  • Dictionaries
  • Map
  • Reduce
  • Filter
  • Classes
  • Objects
  • Inheritance
  • Multiple Inheritance
  • Modules
  • Error Handling

Data Visualization

  • Matplotlib
  • Seaborn
  • Plotly
  • Cuflinks
  • Bokesh

Libraries

  • Numpy
  • Pandas
  • Random
  • Math
  • Scipy
  • sklearn
  • Keras
  • Tensorflow
  • OpenCV
  • NLTK
  • Spacy
  • Lot more…

Tableau

  • Introduction to Data Visualization
  • Introduction to Tableau
  • Basics charts and dashboards
  • Special Char Types
  • Dashboard design and principles
  • Connections with servers
  • Local file access
  • Hands on experience with worksheet

Web Scraping

  • Url
  • Beautiful Soup

Data base

  • SQL
  • MongoDB

Statistics

  • Basics of Statistics
  • Descriptive Statistics
  • Inferential Statistics
  • Qualitative Analysis
  • Quantitative Analysis
  • Hypothesis Testing
  • Data Distribution
  • Probability Distribution
  • Normal Distribution
  • Poison Distribution
  • Outlier Detection
  • Other Statistical Fundamentals

Machine Learning

  • Supervised Learning
  • Unsupervised Learning
  • Semi Supervised Learning
  • Reinforcement Learning

Supervised Learning

  1. Regression Models
  2. Classification Models

Regression Models

  • Introduction to Regression Models
  • Linear Models
  • Linear Regression
  • Multiple Regression
  • Ordinary Least Square Method
  • Non-Linear Models
  • Support Vector Regressor
  • Random Forest Regressor
  • Decision Tree

Evaluation Metrics for Regression Models

  • R-Square
  • Adjusted R Square
  • Mean Square Error
  • Root Mean Square Error
  • Mean Absolute Error

Classification Models

  • Introduction to Classification Models
  • Logistics Regression
  • Naïve Bayes
  • Support Vector Classifier
  • K-NN Classifier
  • Decision Tree Classifier
  • Random Forest Classifier

Evaluation Metrics for Classification Models

  • Accuracy
  • Precision
  • Recall
  • F1 Score
  • ROC Curve

Unsupervised Learning

  • Introduction to Unsupervised Learning

Clustering Models

  • Introduction to Clustering Models
  • K- Mean Clustering
  • Hierarchical Clustering
  • High Dimensional Clustering

Dimension Reduction

  • Principal Component Analysis (PCA) Reinforcement Learning

Reinforcement Learning

  • Introduction to Reinforcement Learning

Featurization, Model Selection & Tuning

  • Feature Extraction
  • Model Defects & Evaluation Metrics
  • Model Selection and Tuning
  • Comparison of machine learning models

Neural Networks

  • Introduction to Deep Learning
  • Fundamental of Neural Networks
  • TensorFlow and Keras
  • Artificial Neural Networks (ANN)
  • Convolution Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • Evaluation of Deep Learning
  • Neural Networks Basics
  • Gradient Descent
  • Introduction to Perceptron & Neural Networks
  • Batch Normalization
  • Activation and Loss Functions
  • Hyper parameter tuning
  • SoftMax
  • Deep Neural Networks
  • Weights initialization

Image Pre-processing

  • Computer Vision
  • Open CV
  • Noise Detection
  • Noise Reduce
  • Low Pass Filters
  • Forward Propagation
  • Backward Propagation
  • Pooling & Padding

Natural Language Processing

  • Introduction to NLP
  • Corpus
  • Natural Language Understanding (NLU)
  • Natural Language Generator (NLG)
  • Tokenization (Word, Sentence, Blank, RegEx)
  • Frequency Distribution
  • Filtering
  • Stemming
  • Lemmatization
  • Stop Words
  • Regular Expressions
  • POS Tagging
  • Syntax Tree
  • Chunking
  • Lemmas
  • Hypernyms
  • Hyponyms
  • Synonyms
  • Antonyms
  • Distance Between words
  • Wordnet
  • Name Entity Recognition
  • Bag of words or Document Matrix
  • Count Vectorization
  • Term Frequency
  • Inverse Document Frequency
  • Sentimental Analysis

Job Roles

  • SEO Specialist/Analyst
  • Content Marketer
  • Digital Marketing Manager
  • Social Media Manager
  • PPC (Pay-Per-Click) Specialist
  • Email Marketing Specialist
  • Web Analytics Specialist
  • E-commerce Marketing Manager
  • Inbound Marketing Specialist
  • Affiliate Marketing Manager
  • SEO Copywriter
  • Online Reputation Manager

Components of Digital Marketing

  • Website
  • Content Management System (CMS)
  • SEO Tools
  • Email Marketing Software
  • Social Media Platforms
  • Analytics Tools
  • Paid Advertising Platforms
  • Content Creation Tools
  • Marketing Automation Software
  • CRM (Customer Relationship Management) Software
  • A/B Testing Tools
  • Project Management Software
  • Keyword Research Tools
  • Social Media Management Tools
  • E-commerce Platforms
  • Ad Creative Tools
  • Lead Generation Tools
  • Chatbots and AI Tools
  • Video Marketing Tools
  • Webinar Platforms

What We Offer

24/7 Portal Access
Domain Expertise Trainers
Industrial Standard Course Structure
Job Oriented Programs
Recording Sessions
Assignments on Real time Scenarios
Job Support
Resume Preparations
Internships
Job Assistance
Working on Real Time Projects
Course Completion Certifications

We Provide Higher Quality Services

AND YOU’LL GET SOLUTIONS FOR EVERYTHING
Best Artificial Intelligence Training in Hyderabad with 100% placement Assistance. Learn Data Science with Python, Data Analysis, Artificial Intelligence, Machine Learning, Deep Learning, NLP, Statistics and Tableau.

Branches

KPHBSR NagarSecunderabad
Phone: +91 9390023585
Email: info@learnai.co.in

Head Office

Address: 1st Floor, Rajadhani Theatre Complex, Pillar Number 1546, above Siri Mobiles, Dilsukhnagar, Hyderabad, Telangana 500060.
Phone: +91 9390023585
Email: info@learnai.co.in
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