AI-Powered Data Analytics Professional
Transform Data into Insights • Build AI-Powered Solutions • Accelerate Your Career
8 Months
Program Duration
120+
Learning Hours
2+
Industry Projects
8
Assessments
Program Overview
Designed for students, freshers and professionals to build practical skills in Excel, SQL, Python, Data Analytics, Power BI and Machine Learning through hands-on projects and industry-oriented training.
Tools Covered
Excel
MySQL
Python
NumPy
Pandas
Power BI
Jupyter
Scikit-Learn
VS Code
Google Colab
GitHub
The Proto Hub Advantage
Students don’t just learn theory. They build real projects, create a professional portfolio, and gain opportunities to showcase selected work through The Proto Hub ecosystem.
🎯 Real Industry Projects
Work on practical analytics, dashboard development, reporting automation, and business-focused projects based on real-world scenarios.
👨💼 Professional Portfolio Development
Build a professional portfolio showcasing dashboards, analytics reports, Python projects, and business insights to demonstrate your capabilities.
🚀 Project Showcase & Professional Visibility
Selected projects may be showcased through The Proto Hub platform, helping students present their work to industry professionals, recruiters, hiring managers, startups, and business leaders.
👨🏫 Learn from Industry Professionals
Gain insights and guidance from experienced Data Scientists, AI Specialists, Analytics Experts, and technology professionals with real-world project experience.
📊 Career Ready Skills
Develop practical skills, industry best practices, and problem-solving abilities that employers value in modern analytics and data-driven roles.
🎓 Resume, Portfolio & Interview Readiness
Receive guidance on professional profile building, resume enhancement, project presentation, portfolio development, and interview preparation.
Program Curriculum
- Excel Interface & Workbook Management
- Data Entry & Formatting
- Formulas & Functions
- Lookups (VLOOKUP, XLOOKUP)
- Logical Functions
- Text & Date Functions
- Data Validation
- Conditional Formatting
- Sorting & Filtering
- Pivot Tables & Pivot Charts
- Dashboard Development
- Business Reporting
- Database Fundamentals
- Database Design Concepts
- Tables & Data Types
- Data Manipulation
- SELECT Queries
- Filtering & Sorting
- Aggregate Functions
- Grouping & Summarization
- Joins
- CASE Statements
- Subqueries
- Common Table Expressions (CTE)
- Business Data Analysis
- Python Fundamentals
- Variables & Data Types
- Operators & Expressions
- Conditional Statements
- Loops
- Functions
- Lists, Tuples & Dictionaries
- String Operations
- File Handling
- Exception Handling
- Modules & Packages
- Programming Logic & Problem Solving
- NumPy Fundamentals
- Array Operations
- Pandas Introduction
- Series & DataFrames
- Data Import & Export
- Data Selection & Filtering
- Data Cleaning
- Handling Missing Values
- Data Transformation
- GroupBy Operations
- Data Merging
- Exploratory Data Analysis (EDA)
- Introduction to Statistics
- Mean, Median & Mode
- Range & Distribution
- Variance & Standard Deviation
- Percentages & Ratios
- Probability Fundamentals
- Correlation Analysis
- Regression Concepts
- Business Statistics Applications
- Power BI Fundamentals
- Data Import & Preparation
- Data Modeling
- Relationships
- Visualizations & Charts
- Slicers & Filters
- KPI Development
- DAX Fundamentals
- Dashboard Design
- Interactive Reporting
- Business Intelligence Concepts
- Introduction to Machine Learning & AI in Analytics
- Supervised vs Unsupervised Learning
- Train-Test Split & Model Workflow
- Data Preparation & Feature Engineering Basics
- Feature Selection & Preprocessing
- Regression Fundamentals
- Classification Fundamentals
- Clustering Fundamentals
- Model Evaluation Concepts
- Accuracy, Precision, Recall & RMSE
- Overfitting & Underfitting
- Introduction to Scikit-Learn
- Predictive Analytics Concepts
- AI-Assisted Analytics & Model Interpretation
- Business Use Cases & Industry Applications
- Industry-Oriented Capstone Project
- Business Problem Solving
- Data Analysis & Visualization
- Dashboard & Report Development
- Business Insights & Recommendations
- Project Presentation Skills
- Professional Portfolio Development
- Professional Profile Enhancement
- Resume Building
- Interview Preparation
- Career Readiness
Career Opportunities
Program Fee
Inclusive of GST
Limited Seats Available
Frequently Asked Questions
Who can join this program?
This program is designed for students, freshers, working professionals, and career switchers who want to build practical skills in Data Analytics, Business Intelligence, and AI-powered technologies. No prior coding or technical background is required.
Do I need a laptop or desktop computer to join the program?
Yes, a laptop or desktop computer is recommended for learning, assignments, and project work. A system with at least 8 GB RAM, an Intel Core i3 / AMD Ryzen 3 processor (or higher), and 50 GB of free storage is generally sufficient for this program. If you are planning to purchase a new device, there is no need for a high-end or expensive system. If you need assistance selecting a suitable laptop or desktop, our team will be happy to guide you before enrollment.
Will I receive a certificate?
Yes. Participants who successfully complete the program requirements will receive a Proto Hub Academy Certificate of Completion.
Are hands-on projects included in the program?
Yes. Students will work on practical assignments, real-world business scenarios, and industry-oriented projects throughout the program, including a capstone project to demonstrate their skills and portfolio.
What tools and technologies will I learn?
Students will gain hands-on experience with Excel, Google Sheets, SQL, Python, Pandas, NumPy, Power BI, Jupyter Notebook, Google Colab, VS Code, GitHub, and Scikit-Learn through practical exercises and projects.
What career opportunities are available after completing this program?
Depending on individual performance, skills, and experience, learners may explore opportunities such as Data Analyst, Business Analyst, MIS Analyst, Reporting Analyst, Power BI Developer, Analytics Associate, and other entry-level data-focused roles.
What career support is included in the program?
Students receive guidance on portfolio development, project presentation, resume enhancement, interview preparation, and professional profile building to help showcase their skills and projects confidently.
Will the classes be conducted online or offline?
Classes may be conducted online, offline, or in a hybrid mode depending on the selected batch and location. Learning materials, project guidance, and mentor support will be provided throughout the program.
What mentor guidance and support can students expect?
Students will learn from experienced industry professionals, Data Scientists, AI Specialists, and Analytics Experts who bring practical experience from enterprise analytics, business intelligence initiatives, and AI-driven solutions. Mentors provide guidance on projects, portfolio development, industry best practices, and career readiness.