Turn Your Passion Into a Career In Data Science
In today’s data-driven world, Data Science helps businesses make smarter decisions and drive innovation.
At HelloGrowing, we provide offline, industry-focused training with real projects and expert mentorship. Students learn Python, SQL, Machine Learning, and Data Visualization to build practical, job-ready skills for real-world data challenges.
WHY CHOOSE HELLOGROWING FOR Data Science ?
At HelloGrowing, we combine expert mentorship and hands-on learning to help you master real-world data skills. Our offline, industry-focused Data Science course builds your technical knowledge, analytical mindset, and problem-solving ability to excel in today’s data-driven world.
Here’s what makes our Data Science Training stand out:
CREATIVE & PRACTICAL LEARNING ENVIRONMENT
Our classroom simulates a real data lab environment, where ideas are tested, insights are explored, and feedback fuels growth. Students learn by analyzing data, building models, and refining outcomes gaining the ability to turn raw data into real-world solutions.
INDUSTRY-EXPERIENCED DATA SCIENCE MENTORS
Learn directly from industry professionals with real project experience in data analytics and AI. Our mentors bring real business problems into the classroom, helping students understand how data drives decisions across industries.
HANDS-ON, PROJECT-BASED TRAINING
Gain practical experience through live projects, case studies, and real datasets. Students work on problems that reflect actual business challenges — building confidence in tools like Python, SQL, and Machine Learning.
INDUSTRY-ALIGNED DATA SCIENCE CURRICULUM
Our curriculum covers Data Analytics, Python, Machine Learning, Deep Learning, and AI fundamentals. Each module is designed to help students understand how data science is applied end-to-end in modern organizations.
BUILD A JOB-READY PORTFOLIO
At HelloGrowing, your portfolio matters as much as your skills. Through practical assignments and mentorship, students create industry-ready projects that showcase their expertise and prepare them for real data science roles.
COURSE OVERVIEW
This Data Science Course is designed for beginners, professionals, and working individuals who want to master data-driven skills through hands-on offline training. Learn to collect, clean, analyze, and visualize data using modern tools to solve real-world business problems
What you’ll learn
- Python for Data Science – Python programming, data types, loops, functions, and working with libraries like NumPy and Pandas
- Data Analysis & Visualization – Clean, analyze, and visualize data using Matplotlib, Seaborn, Excel, and Power BI
- Statistics & Mathematics for Data Science – Descriptive statistics, probability, correlation, and basic linear algebra for data modeling
- SQL & Database Management – Write queries to extract, manage, and analyze data from relational databases
- Data Cleaning & Preprocessing – Handle missing values, outliers, and transform raw data into usable datasets
- Machine Learning Fundamentals – Supervised and unsupervised learning, regression, classification, and clustering techniques
- Model Evaluation & Optimization – Accuracy, precision, recall, cross-validation, and hyperparameter tuning
- Real-World Projects – Work on industry-based case studies and datasets to build a strong portfolio
- Dashboard & Reporting – Create interactive dashboards using Power BI and Excel for business insights
- Deployment Basics – Introduction to deploying ML models using Flask or cloud platforms
- Version Control (Git & GitHub) – Manage and collaborate on projects using Git
- Career Readiness – Resume building, interview preparation, and portfolio guidance
Highlights Of The Data Science Course
Course overview
This Data Science course is designed for beginners and professionals who want
to build real world data analysis and prediction skills with hands on offline training.
| Course Name | About Course | Duration | Mode | Eligibility |
|---|
| Data Science (Foundation Program) | Beginner-friendly program covering Python, Excel, SQL, statistics, and data visualization. Focuses on building strong fundamentals and real-world problem-solving skills through hands-on projects. | 6 Month | Offline | 10+2 / Diploma / Any Stream Students |
| Data Science (Professional Program) | Industry-oriented program focused on Python, Machine Learning, Data Analytics, Power BI, and real-time datasets. Includes live projects and portfolio development for job readiness. | 8 Month | Offline | Graduate / Final Year Students / Working Professionals |
| Data Science (Advanced Program) | Advanced training in Machine Learning, Deep Learning, AI, Big Data tools, and deployment techniques. Designed for learners aiming for high-level data roles with expert mentorship and capstone projects. | 12 Month | Offline | Graduate in Any Stream / IT or Technical Background Preferred |
Frequently Asked Questions
