5 Months Data Science Program
Program Duration: 5 Months
Delivery Mode: Hands-on Training, Real-Time Projects, and Mentorship
Fee: #300, 000
1. Course Overview
This intensive Data Science program is designed to help you build strong foundations in data analysis, machine learning, and AI. You will gain hands-on experience working with real-world datasets, learning how to clean, visualize, and model data using modern tools and techniques. The program prepares you to solve business problems, make data-driven decisions, and build predictive systems.
2. Who Should Enroll?
- Beginners aspiring to start a career in Data Science
- Software developers and engineers expanding into AI/ML
- Data analysts seeking advanced skills in machine learning
- IT professionals interested in transitioning into data-focused roles
3. Curriculum Breakdown
a. Foundations & Data Handling (Weeks 1–4)
- Introduction to Data Science & AI
- Python for Data Science (NumPy, Pandas)
- Data Wrangling & Cleaning
- Data Visualization with Matplotlib & Seaborn
b. Statistics & Machine Learning (Weeks 5–8)
- Descriptive & Inferential Statistics
- Probability & Hypothesis Testing
- Supervised Learning: Regression & Classification
- Unsupervised Learning: Clustering & Dimensionality Reduction
c. Advanced Topics & Projects (Weeks 9–12)
- Natural Language Processing (NLP)
- Introduction to Deep Learning with TensorFlow/Keras
- Big Data Tools: Spark (Intro)
- Capstone Project: End-to-End Data Science Solution
4. Key Features
- Hands-on labs and real-world projects
- Mentorship from experienced data scientists
- Access to datasets, notebooks, and course recordings
- Certificate of Completion
5. Tools & Technologies You’ll Learn
- Programming: Python, Jupyter Notebook
- Libraries: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn
- Machine Learning: Scikit-learn, TensorFlow, Keras
- Data Visualization: Tableau, Power BI (Intro)
- Big Data: Apache Spark (Intro)
- Databases: SQL, NoSQL
6. Requirements
- Basic knowledge of mathematics and statistics
- Laptop (8GB RAM recommended)
- Stable internet connection
7. Download Brochure
Get full curriculum details and pricing in our brochure:
8. Apply Now
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