Data Science Course

Data science is an interdisciplinary field that uses scientific methods, statistics, programming, and domain knowledge to extract insights from complex, often large datasets. It involves finding patterns, creating predictive models, and using that information to inform decision-making and predict future trends. Data scientists apply a combination of techniques from mathematics, statistics, and computer science, including machine learning, to solve real-world problems.

⭐ Data Science Course Curriculum

1. Python Programming Fundamentals

✔ Python Basics

• What is Python? Why Python for Data Science
• Installing Python & IDEs (PyCharm, Jupyter, VS Code)
• Writing your first Python program
• Understanding Scripts vs Notebooks

✔ Python Core Concepts

• Data Types & Variables
• Operators
• Conditional Statements
• Loops (for, while)
• Functions & Lambda Functions
• Modules & Packages

✔ Python for Data Handling

• Lists, Tuples, Dictionaries, Sets
• String Manipulations
• Error Handling
• File Handling (CSV, JSON, TXT)

2. Statistics & Mathematics for Data Science

✔ Basic Statistics

• Mean, Median, Mode
• Variance & Standard Deviation
• Percentiles & Outliers
• Correlation & Covariance

✔ Probability Basics

• Random Variables
• Probability Distributions
• Normal, Poisson, Binomial Distributions

✔ Linear Algebra

• Matrices & Vectors
• Matrix Operations
• Dot Product

3. Data Analysis using NumPy & Pandas

✔ NumPy

• Arrays & Vectorization
• Indexing & Slicing
• Broadcasting

✔ Pandas

• Series & DataFrames
• Importing & Exporting Data

• Handling Missing Data
• Merging, Joining, GroupBy
• Data Cleaning Basics

4. Data Visualization

✔ Matplotlib

• Line, Bar, Scatter Charts
• Customizing Graphs

✔ Seaborn

• Heatmaps
• Distribution Plots
• Pair Plots

5. Machine Learning (ML)

✔ Supervised Learning

• Linear Regression
• Logistic Regression
• Decision Trees
• Random Forest
• Support Vector Machines

✔ Unsupervised Learning

• K-Means Clustering
• Dimensionality Reduction (PCA)

✔ Model Evaluation

• Train/Test Split
• Confusion Matrix
• Accuracy, Precision, Recall, F1 Score

6. Deep Learning (Neural Networks)

✔ Introduction to Neural Networks

• What is Deep Learning?
• Neurons, Activation Functions
• Forward & Backpropagation

✔ TensorFlow / Keras Basics

• Building a simple Neural Network
• Training & Testing Models

7. SQL for Data Science

✔ SQL Queries

• SELECT, WHERE, ORDER BY
• GROUP BY, HAVING
• Joins (INNER, LEFT, RIGHT)
• Subqueries

8. Real-Time Projects

✔ Mini Projects

• Bank Loan Prediction
• House Price Prediction
• Customer Segmentation

✔ Capstone Project

• End-to-End Data Science Project
• Data Cleaning → Model Building → Deployment

Cloud Computing Course

Cloud computing is the delivery of computing services—including storage, databases, networking, software, and analytics—over the internet ("the cloud") on a pay-as-you-go basis. Instead of owning and managing physical servers, users access on-demand resources from a remote data center owned by a cloud provider, which allows for greater flexibility, scalability, and cost efficiency.

⭐ Cloud Computing Course Curriculum

1. Introduction to Cloud Computing

✔ Cloud Fundamentals

• What is Cloud Computing?
• Traditional IT vs Cloud
• Public, Private & Hybrid Cloud Models
• Cloud Service Models: IaaS, PaaS, SaaS

✔ Cloud Architecture

• Virtualization Concepts
• Compute, Storage, Networking Basics
• Regions, Zones & Edge Locations

2. Amazon Web Services (AWS)

✔ AWS Core Services

• EC2 (Virtual Servers)
• S3 (Object Storage)
• RDS (Managed Databases)
• VPC (Networking & Security)
• IAM (Identity & Access Management)

✔ AWS Advanced Services

• CloudWatch & CloudTrail
• Load Balancers (ELB)
• Auto Scaling
• Lambda (Serverless Computing)
• ECS & EKS (Container Management)

3. Microsoft Azure Cloud

✔ Azure Core Components

• Azure Virtual Machines
• Azure Storage
• Azure SQL Database
• Virtual Network (VNet)
• Azure Active Directory

✔ Azure Advanced Services

• Azure Monitor & Azure Security Center
• Azure Functions (Serverless)
• App Services
• Container Instances & AKS

4. Google Cloud Platform (GCP)

✔ GCP Core Services

• Compute Engine
• Cloud Storage
• Cloud SQL & Firestore
• VPC & IAM

✔ GCP Advanced Services

• Cloud Functions (Serverless)
• BigQuery (Data Warehouse)
• Kubernetes Engine (GKE)

5. Cloud + DevOps Practices

✔ CI/CD Fundamentals

• Continuous Integration vs Deployment
• Jenkins, GitHub Actions, GitLab CI

✔ Infrastructure as Code (IaC)

• Terraform Basics
• AWS CloudFormation
• Azure ARM Templates

✔ Containers & Orchestration

• Docker Basics
• Kubernetes Concepts
• Deploying Apps to Cloud Clusters

6. Cloud Security & Compliance

✔ Cloud Security Basics

• Identity Management
• IAM Policies
• Encryption (At rest & In transit)
• Firewalls & Security Groups

✔ Compliance & Governance

• GDPR, HIPAA, PCI-DSS
• Shared Responsibility Model
• Monitoring & Alerts

7. Cloud Migration & Deployment

✔ Migration Approaches

• Lift & Shift
• Re-Platforming
• Re-Architecting

✔ Cloud Storage & Backup

• Data Migration Tools
• Backup & Recovery
• Disaster Recovery (DR)

8. Real-Time Cloud Projects

✔ Mini Projects

• Deploy a Website on AWS / Azure
• Serverless Application with Lambda / Functions
• Docker + Kubernetes Deployment

✔ Capstone Project

• End-to-End Cloud Deployment Architecture
• Compute + Storage + DB + Networking + Security

Digital Marketing

Digital marketing is the use of internet and online-based digital technologies to promote products and services. It uses channels like websites, social media, email, and search engines to reach and engage with customers online, where they spend a significant amount of time. Key strategies include search engine optimization (SEO), content marketing, paid advertising, and email marketing, which allow for measurable results and personalized communication.

🧩 Digital Marketing Course Curriculum

✔ Digital Marketing Basics

• What is Digital Marketing?
• Traditional Marketing vs Digital Marketing
• Digital Marketing Channels Overview
• B2B vs B2C Marketing

✔ Digital Marketing Ecosystem

• Customer Journey & Sales Funnel
• Branding Concepts
• Market Research & Competitor Analysis

2. Search Engine Optimization (SEO)

✔ SEO Fundamentals

• How Search Engines Work
• Types of SEO: On-Page, Off-Page, Technical
• Google Ranking Factors

✔ On-Page SEO

• Keyword Research & Planning
• Title Tags, Meta Descriptions
• Header Tags, Image Optimization
• Internal Linking

✔ Technical SEO

• XML Sitemap
• Robots.txt
• Page Speed Optimization
• Mobile-Friendly Optimization

✔ Off-Page SEO

• Backlink Strategies
• Guest Blogging
• Influencer Outreach

3. Social Media Marketing (SMM)

✔ Social Media Basics

• Facebook, Instagram, LinkedIn, Twitter, YouTube
• Creating Social Media Strategy
• Content Calendar Planning

✔ Facebook & Instagram Marketing

• FB Page Setup & Optimization
• Instagram Profile Optimization
• DM Marketing
• Reels Strategy

✔ LinkedIn & Twitter Marketing

• LinkedIn Company Page
• Building Professional Audience
• Twitter/X Marketing Basics

4. Google Ads & PPC Campaigns

✔ Google Ads Fundamentals

• Search Ads
• Display Ads
• Video Ads (YouTube)
• Shopping Ads

✔ Campaign Setup

• Keyword Planning & Bidding
• Ad Copywriting
• Budgeting & Optimization
• Quality Score

5. Social Media Ads (Meta Ads Manager)

✔ Facebook & Instagram Ads

• Campaign Objectives
• Audience Targeting (Custom & Lookalike)
• Ad Creative Design
• A/B Testing

✔ LinkedIn Paid Ads

• Lead Gen Forms
• Targeting Professionals

6. Content Marketing

✔ Content Strategy

• Types of Content (Blogs, Videos, Reels, Infographics)
• Content Planning & Topic Research
• Creating Engaging Content

✔ Blogging Techniques

• SEO-Friendly Blog Writing
• Keyword Placement
• Blog Optimization Tools

7. Email Marketing

✔ Email Marketing Basics

• Types of Email Campaigns
• Building Subscriber List
• Mailchimp / Sendinblue Tools

✔ Advanced Email Marketing

• Automation
• Lead Nurturing
• CTR, Open Rate Optimization

8. Analytics & Reporting

✔ Google Analytics 4 (GA4)

• Traffic Analysis
• User Behavior
• Conversion Tracking

✔ Search Console

• Indexing Issues
• Performance Reports
• URL Inspection

9. Marketing Automation Tools

✔ Tools Overview

• HubSpot CRM
• Zoho Marketing
• Chatbots

10. E-Commerce & Affiliate Marketing

✔ E-Commerce Platforms

• Shopify Basics
• WooCommerce
• Product Listing Optimization

✔ Affiliate Marketing

• Affiliate Networks
• Commission Strategies
• Creating Affiliate Content

11. Real-Time Digital Marketing Projects

✔ Mini Projects

• SEO Optimization for a Website
• Facebook + Instagram Ads Setup
• Blog Writing with SEO

✔ Capstone Project

• Complete Digital Marketing Strategy
• SEO + SMM + Paid Ads + Reporting

Hardware & Networking

Hardware and networking involves the physical components of a computer system and the methods for connecting these devices to share data and resources. Hardware includes physical parts like the motherboard, CPU, RAM, hard drive, and peripherals, while networking uses physical hardware like routers and switches, along with protocols, to allow devices to communicate. A career in this field can involve building, installing, and maintaining computer systems and networks.

⭐ Hardware & Networking Course Curriculum

✔ Introduction to Computer Hardware

• What is Hardware & Networking?
• Types of Computers & Devices
• Input, Output & Storage Devices
• Assembling & Disassembling a Computer

✔ Internal Hardware Components

• Motherboard, Processor (CPU)
• RAM, ROM & Storage Types (HDD, SSD)
• SMPS, GPU, Cooling Systems
• BIOS/UEFI Settings

2. Operating Systems (Windows & Linux)

✔ Windows OS

• Installing Windows OS
• Disk Partitioning
• Windows Settings & Control Panel
• User Accounts & Permissions

✔ Linux OS

• Linux Installation (Ubuntu/CentOS)
• Basic Linux Commands
• File & Directory Permissions
• Package Installation

3. Networking Basics

✔ Introduction to Networking

• What is Networking?
• Types of Networks (LAN, WAN, MAN)
• Topology Types (Bus, Star, Ring)
• Networking Devices Overview

✔ Network Components

• Router, Switch, Hub, Bridge
• Network Interface Card (NIC)
• Cables (LAN, Fiber, Coaxial)
• Crimping & Cable Testing

4. TCP/IP Model & Protocols

✔ TCP/IP Fundamentals

• OSI vs TCP/IP Model
• IP Addressing (IPv4/IPv6)
• Subnetting & Supernetting
• MAC Address

✔ Network Protocols

• TCP, UDP Protocols
• HTTP, HTTPS, FTP, SMTP
• DHCP, DNS, SNMP
• Ports & Port Numbers

5. Wireless Networking

✔ Wi-Fi Setup & Configuration

• Wireless Standards (802.11 A/B/G/N/AC/AX)
• Setting up Wireless Routers
• SSID, Encryption (WPA/WPA2/WPA3)
• Wi-Fi Range Extension

6. Server Administration

✔ Windows Server Basics

• Installing Windows Server
• Active Directory Domain Services (ADDS)
• User & Group Management
• Group Policies

✔ Linux Server Basics

• Linux Server Installation
• SSH, FTP & Web Server Setup
• User Access Management
• Firewall & Network Tools

7. Network Security

✔ Security Fundamentals

• Types of Cyber Threats
• Firewalls & Antivirus
• VPN & Encryption
• Access Controls

✔ Securing Networks

• Configuring Firewall Rules
• Network Monitoring Tools
• Wi-Fi Security Practices
• Backup & Disaster Recovery

8. Cloud & Virtualization Basics

✔ Virtualization Concepts

• What is Virtualization?
• VMware & VirtualBox Setup
• Creating Virtual Machines

✔ Cloud Essentials

• Cloud Computing Overview
• Public, Private, Hybrid Cloud
• Basics of AWS, Azure & Google Cloud

9. IT Support & Troubleshooting

✔ Hardware Troubleshooting

• Boot Issues
• Overheating Problems
• Blue Screen Errors

✔ Network Troubleshooting

• IP Conflicts
• DNS Issues
• Slow Network Diagnosis
• Tools: Ping, Tracert, Ipconfig

10. Real-Time Projects

✔ Mini Projects

• LAN Setup for Office
• Wi-Fi Router Configuration
• Windows/Linux Installation

✔ Capstone Project

• Complete Office Network Setup
• Active Directory + Security Deployment