Here is our structured process guideline for the 6-month training program, covering each course’s daily schedule and the internship period. Given the constraints of class capacity and the need to accommodate multiple participants, we’ll need to optimize the schedule. Here’s a breakdown of how the training program will look:

Training Program Structure Phase 1: Foundation (1 month)

• During this phase, participants will establish a strong foundation in the

chosen course. The focus will be on introducing basic concepts and building essential skills.

 

Phase 2: Intermediate (2 months)

• In this phase, participants will delve deeper into the subject, covering intermediate-level topics and more complex

 

Phase 3: Advanced (2 months)

• The final phase will focus on advanced topics, allowing participants to master the most sophisticated aspects of their chosen

 

Phase 4: Internship (1 month)

• After completing the 6-month training, participants will engage in internships to apply their knowledge and gain practical experience.

 

Daily Schedule: Monday to Saturday, 9 am to 6 pm

 

Each course will have a dedicated day of the week, allowing participants to focus on a single course. Given the hall capacity, a rotation system will be implemented, allowing all participants to attend their chosen course within the 6- month period.

 

Course Breakdown:

 

Digital Marketing & E-commerce Foundation Phase: Weeks 1-4

Weeks 1-2: Introduction to Digital Marketing

• Basics of digital marketing landscape
• Understanding different digital marketing channels
• Setting up online profiles and platforms

 

Weeks 3-4: Introduction to E-commerce

• E-commerce fundamentals
• Building an online store
• Payment gateways and security

 

Intermediate Phase: Weeks 5-12

 

Weeks 5-6: Social Media Marketing

• Creating engaging social media content
• Social media advertising and targeting

 

Weeks 7-8: Content Strategy and Email Marketing

• Developing content marketing plans
• Effective email campaign strategies

 

Weeks 9-10: SEO and SEM

• Advanced SEO techniques
• Introduction to search engine marketing (SEM)

 

Weeks 11-12: Advanced Digital Marketing Strategies

• Data-driven decision-making
• Crafting a comprehensive digital marketing strategy

 

Advanced Phase: Weeks 13-20

 

Weeks 13-14: Analytics and Data Interpretation

• Advanced Google Analytics usage
• A/B testing and optimization

 

Weeks 15-16: Conversion Rate Optimization and UX

• Understanding user behavior
• Optimizing conversion rates
• Introduction to user experience design principles

 

Weeks 17-18: E-commerce Optimization

• Enhancing the e-commerce user experience
• Analytics for e-commerce optimization

 

Weeks 19-20: Final Projects and Presentations

• Participants work on real-world projects
• Present their campaigns and strategies

 

Internship Phase: Weeks 21-24

• Weeks 21-24: Internship Period
• Participants engage in internships to apply their skills
• Gain practical experience in real-world scenarios
• Participate in business projects related to digital marketing and e- commerce

 

 

 

Advanced Data Analytics Training Program Phase 1: Foundation (1 month)

Weeks 1-2: Introduction to Data Analytics

• Understanding the role of data analytics in decision-making
• Basics of data types, variables, and data collection
• Introduction to data analysis tools (Excel, Google Sheets)
• Data cleaning and preprocessing techniques

 

Weeks 3-4: Exploratory Data Analysis (EDA)

• Data visualization fundamentals
• Creating basic charts and graphs
• Descriptive statistics and data summarization
• Identifying patterns and outliers in data

 

Phase 2: Intermediate (2 months)

 

Weeks 5-6: Data Analysis with Python (Pandas and Matplotlib)

• Introduction to Python programming for data analysis
• Working with Pandas for data manipulation
• Data visualization using Matplotlib
• Combining multiple data sources

 

Weeks 7-8: Statistical Analysis

• Probability and distributions
• Hypothesis testing and confidence intervals
• Correlation and regression analysis
• Practical application of statistical concepts

 

Weeks 9-10: Data Visualization and Communication

• Advanced data visualization techniques (Seaborn, Plotly)
• Design principles for effective data visualizations
• Creating dashboards for data storytelling
• Interpreting and presenting data insights

 

Phase 3: Advanced (2 months)

 

Weeks 11-12: Data Analysis with SQL

• Introduction to relational databases and SQL
• Querying databases to extract relevant information
• Joining multiple tables for complex analysis
• Subqueries and advanced SQL functions

 

Weeks 13-14: Machine Learning Fundamentals

• Introduction to machine learning concepts
• Supervised unsupervised learning
• Feature engineering and model evaluation
• Applying machine learning algorithms in Python

 

Weeks 15-16: Time Series Analysis and Forecasting

• Understanding time-dependent data
• Time series visualization and decomposition
• Forecasting techniques (moving averages, ARIMA)
• Evaluating time series forecasting models

 

Phase 4: Internship (1 month)

 

Weeks 17-20: Internship and Practical Application

• Participants engage in internships with local businesses or organizations
• Apply advanced data analytics skills in real-world projects
• Gain experience in data collection, analysis, and interpretation
• Collaborate with professionals to solve real-world data challenges

 

 

 

Data Science and Analytics Training Program Phase 1: Foundation (1 month)

Weeks 1-2: Introduction to Data Science and Analytics

• Understanding the role of data science in decision-making
• Basics of data types, variables, and data collection
• Introduction to data analysis tools (Python, Jupyter)
• Data cleaning and preprocessing techniques

 

Weeks 3-4: Exploratory Data Analysis (EDA)

• Data visualization fundamentals
• Creating basic charts and graphs
• Descriptive statistics and data summarization
• Identifying patterns and outliers in data

 

Phase 2: Intermediate (2 months)

 

Weeks 5-6: Data Wrangling and Preprocessing

• Working with messy and incomplete data
• Data transformation and feature engineering
• Handling missing values and outliers

 

Weeks 7-8: Statistical Analysis and Hypothesis Testing

• Probability distributions and statistical inference
• Hypothesis testing and p-values
• Correlation and regression analysis
• Practical application of statistical concepts

 

Weeks 9-10: Data Visualization and Communication

• Advanced data visualization techniques (Seaborn, Plotly)
• Design principles for effective data visualizations
• Creating dashboards for data storytelling
• Interpreting and presenting data insights

 

Phase 3: Advanced (2 months)

 

Weeks 11-12: Machine Learning Fundamentals

• Introduction to machine learning concepts
• Supervised unsupervised learning
• Feature selection and engineering
• Model evaluation and hyperparameter tuning

 

Weeks 13-14: Advanced Machine Learning Algorithms

• Decision trees, random forests, and ensemble methods
• Support Vector Machines (SVM)
• Clustering algorithms (K-means, DBSCAN)
• Applying machine learning algorithms in Python

 

Weeks 15-16: Natural Language Processing (NLP) and Deep Learning

• Introduction to NLP and text processing
• Basics of neural networks and deep learning
• Building and training neural networks

 

• Practical applications of NLP and deep learning

 

Phase 4: Internship (1 month)

 

Weeks 17-20: Internship and Practical Application

• Participants engage in internships with local businesses or organizations
• Apply data science and analytics skills in real-world projects
• Gain experience in data collection, analysis, and interpretation
• Collaborate with professionals to solve real-world data challenges

 

 

 

 

 

 

 

 

UI/UX and frontend development are related but distinct skill sets. Separating them allows participants to specialize in either area, while merging them could provide a broader understanding of the entire web development process. Here’s a breakdown of both options:

 

Option 1: Separate UI/UX and Frontend Development UI/UX Training Program

Phase 1: Foundation (1 month)

• Introduction to UI/UX principles and concepts
• User-centered design methodologies
• Wireframing and prototyping tools
• Basics of user research and usability testing

 

Phase 2: Intermediate (2 months)

• Information architecture and user flows
• Interaction design and user interface patterns
• Visual design principles and tools
• Conducting user testing and feedback incorporation

 

 

Phase 3: Advanced (2 months)

• Advanced user experience strategies
• Mobile and responsive design principles
• Designing for accessibility and inclusivity
• Final UI/UX projects and presentations

Frontend Development Training Program Phase 1: Foundation (1 month)

• Introduction to HTML and CSS
• Building static web pages
• Responsive web design basics
• Introduction to version control (Git)

 

Phase 2: Intermediate (2 months)

• JavaScript fundamentals and DOM manipulation
• Introduction to front-end frameworks (e.g., React, Vue)
• Web performance optimization techniques
• Integrating APIs and asynchronous programming

 

Phase 3: Advanced (2 months)

• Advanced JavaScript topics (closures, promises, )
• Building complex web applications with frameworks
• Debugging and testing frontend code
• Final frontend projects and presentations

 

Internship Phase (1 month)

• Participants can choose internships aligned with their specialization (UI/UX or frontend development)
• Apply skills in real-world projects
• Gain practical experience and industry insights
• Collaborate with professionals on design or development projects

 

Option 2: Merge UI/UX and Frontend Development

UI/UX and Frontend Development Training Program Phase 1: Foundation (1 month)

• Introduction to UI/UX and frontend development
• Basics of HTML, CSS, and JavaScript
• User-centered design methodologies
• Introduction to wireframing and prototyping

 

Phase 2: Intermediate (2 months)

• Interaction design and user interface patterns
• Responsive web design and mobile-first principles
• Introduction to front-end frameworks (e.g., React, Vue)
• Conducting user testing and feedback incorporation

 

Phase 3: Advanced (2 months)

• Advanced UI/UX strategies and trends
• Building dynamic web applications with frameworks
• Designing for accessibility and inclusivity
• Final UI/UX and frontend development projects

 

Internship Phase (1 month)

• Participants can choose internships that align with their specialization within the combined track
• Apply combined UI/UX and frontend development skills in real-world projects
• Gain practical experience and industry insights
• Collaborate with professionals on comprehensive web projects

 

 

Make a choice

Both options have their advantages. Separating UI/UX from frontend development allows participants to specialize, while merging them provides a holistic understanding of the entire web development process.

 

 

Backend Development Training Program Phase 1: Foundation (1 month)

Weeks 1-2: Introduction to Backend Development

• Understanding the role of backend in web development
• Basics of server-side programming languages (e.g., Python, js)
• Setting up development environments and version control (Git)

 

Weeks 3-4: Databases and Data Modeling

• Introduction to relational and non-relational databases
• Designing and creating database schemas
• Basics of SQL queries and database management

 

Phase 2: Intermediate (2 months)

 

Weeks 5-6: Building APIs with Node.js (Express.js)

• Introduction to RESTful API design
• Setting up an js server
• Routing and handling HTTP requests
• Data validation and error handling

 

Weeks 7-8: Database Interaction and Authentication

• Connecting backend to databases (SQL and NoSQL)
• Implementing user authentication and authorization
• Hashing passwords and handling security issues
• Token-based authentication and JWT

 

Weeks 9-10: Middleware and Error Handling

• Using middleware for request processing
• Implementing error handling and validation middleware
• Building custom middleware functions

 

Phase 3: Advanced (2 months)

 

Weeks 11-12: Advanced APIs and RESTful Practices

• Building advanced APIs with js
• Pagination and sorting for large datasets
• Best practices for designing RESTful APIs

 

Weeks 13-14: Web Security and Authorization

• Understanding common web vulnerabilities (OWASP Top Ten)
• Implementing security measures (CORS, CSRF)
• Role-based access control and permissions

 

Weeks 15-16: Real-time Communication and Websockets

• Introduction to real-time applications
• Implementing Websockets for real-time communication
• Building a basic chat application

 

Phase 4: Internship (1 month)

 

Weeks 17-20: Internship and Practical Application

• Participants engage in internships with local businesses or organizations
• Apply backend development skills in real-world projects
• Gain experience in building APIs, database interaction, and security
• Collaborate with professionals on backend development projects

 

 

 

Calendar

 

Click here for the calendar

 

 

 

Course Break-down

 

Since the each course per class is 2 hours and 30 minutes per day and participants attend that class 3 times per week, we can calculate the number of hours attended for a week and a month as follows:

 

 

Duration	Hours Attended Per Class	Hours Attended Per Day	Hours Attended per week (3 days)	Hours Attended Per Month (4 weeks)	Hours Attended for 6 Months (24 weeks)
Per class	2 hours 30 minutes
Per Day	2 hours 30 minutes	2 hours 30 minutes
Per Week (3 days)		7 hours 30 minutes	7 hours 30 minutes	30 hours	180 hours
Per Month (4 Weeks)				30 hours	180 hours
Per 6 Months					180 hours

 

 

Explanation of the Table:

 

Per Class: Each class is 2 hours and 30 minutes long.

 

Per Day: Each day consists of one class, which is 2 hours and 30 minutes long.

 

Per Week (3 days): Participants attend classes for 3 days each week, with each class being 2 hours and 30 minutes. Therefore, they spend a total of 7 hours and 30 minutes in class per week.

 

Per Month (4 weeks): Participants attend classes for 3 days each week, for a total of 12 days in a month. With each class being 2 hours and 30 minutes, participants spend a total of 30 hours in class per month.

 

Per 6 Months (24 weeks): Over a span of 6 months, with 3 days of classes each week, participants attend a total of 72 classes. With each class being 2 hours and 30 minutes, participants spend a total of 180 hours in class over 6 months. Calculation of the hours:

 

 

Number of Hours Attended for a Week:

2 hours 30 minutes * 3 days = 7 hours 30 minutes

 

Number of Hours Attended for a Month (4 weeks):

7 hours 30 minutes * 4 weeks = 30 hours

 

Number of Hours Attended for 6 Months (24 weeks):

7 hours 30 minutes * 24 weeks = 180 hours

 

So, for a week, participants will attend a total of 7 hours and 30 minutes of classes, for a month (assuming 4 weeks in a month), they will attend a total of 30 hours of classes, and for 6 months, participants will attend a total of 180 hours of classes.