Data Science Short Term Program By SkillSet Arena
Total Duration: 3 Months
- 2 Months Online Training (Live + Self-paced).
- 1 Month Capstone Project (AI-integrated).
Mode: 100% Online | Designed For: Students, Professionals & Career Switchers.
Level: Beginner to Intermediate.
Program Structure:
Month 1: Python + SQL for Data Science
Python Programming for Data Science
- Python Basics & Syntax.
- Data Structures: List, Tuple, Dictionary, Set.
- Object-Oriented Programming (OOPs).
- Regular Expressions.
- NumPy for Computation.
- Pandas for Data Manipulation.
- Data Visualization with Matplotlib.
SQL for Data Management
- SQL Queries (SELECT, INSERT, UPDATE, DELETE).
- Joins: INNER, LEFT, RIGHT, FULL.
- Views & Indexes.
- Functions: Aggregate & Scalar.
Tools Covered: Jupyter Notebook, Anaconda, MySQL, Google Colab.
Month 2: Machine Learning + Deep Learning + AI
Machine Learning
- Linear & Multiple Linear Regression.
- Logistic Regression.
- Decision Tree & Random Forest.
- K-Nearest Neighbours (KNN).
Deep Learning
- Artificial Neural Networks (ANN).
- Convolutional Neural Networks (CNN).
- Recurrent Neural N.etworks (RNN).
- Loss Functions & Backpropagation.
Artificial Intelligence & Gen AI
- Natural Language Processing (NLP).
- Introduction to OpenAI.
- Generative AI & Prompt Engineering.
Tools Covered: Scikit-learn, TensorFlow/Keras, OpenAI Playground.
Month 3: Capstone Project & Certification
- Solve a real-world problem using ML/DL.
- Apply NLP or Generative AI concepts.
- Build & deploy your model.
- Submit your final report, code, and video presentation.
Outcomes:
- Outcomes:
- Portfolio-Ready Project.
- GitHub Showcase.
- Evaluation by Mentors.
- Official Certification from SkillSet Arena.
Program Features:
- Live Online Training.
- Access to Recorded Lectures.
- Project-Based Learning.
- 1:1 Mentorship & Support.
- Industry-Recognized Certification.
- Career Guidance & Resume building.
By the end of the course, you will know how to work with data, create reports, build prediction models, and solve real-world problems using data science techniques.