The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. The UpShik Academy Data Science program prepares you with the necessary knowledge base and useful skills to tackle real-world data analysis challenges. The program covers concepts such …
The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. The UpShik Academy Data Science program prepares you with the necessary knowledge base and useful skills to tackle real-world data analysis challenges. The program covers concepts such as probability, inference, regression, and machine learning. Throughout the program, we will be using the Python software environment. You will learn Python, statistical concepts and data analysis techniques simultaneously. We believe that you can better retain Python knowledge when you learn how to solve a specific problem. which use code checking technology that will permit you to get hands-on practice during the courses.
Course Description:
Master the complete Data Science journey—from data handling to AI innovation. This program blends Python, SQL, statistics, machine learning, deep learning, NLP, and Generative AI into one powerful learning path designed for real-world impact.
Overview of the Course:
Gain hands-on expertise across the entire data science lifecycle. You’ll progress from coding and analytics to building intelligent models that predict, classify, generate, and transform data for business and research applications.
What You Will Learn:
- Write clean, efficient Python & SQL for data processing
- Apply statistical analysis to uncover insights
- Build and optimize machine learning & deep learning models
- Create NLP solutions and Generative AI applications
- Deploy models with industry-standard tools and platforms
Hands-On Tools and Platforms:
- Python
- SQL
- Jupyter
- TensorFlow
- PyTorch
- Scikit-learn
- Pandas
- NumPy
- Matplotlib
- Hugging Face
- OpenAI
- Google Colab
- AWS
- GitHub.
Live Projects and Assignments:
Work on real business challenges—sentiment analysis, forecasting, image recognition, recommendation engines, and AI chatbots—to build a portfolio that stands out.
CAREER PREPARATION
- Aptitude Skill Training and Development
- Resume Review Workshops
- Interview Preparation
- 7 Sections
- 29 Lessons
- 60 Hours
- Module 1: Python & SQL4
- Module 2: Statistics5
- Module 3: MACHINE LEARNING2
- Module 4: DATA SCIENCE APPLICATIONS2
- Module 5: DEEP LEARNING5
- Module 6: NATURAL LANGUAGE PROCESSING6
- Module 7: GenAI5
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