data science vs artificial intelligence

data science course in kochi

Transcript

1. DATA SCIENCE VS ARTIFICIAL INTELLIGENCE: KEY DIFFERENCES EXPLORE THE BEST DATA SCIENCE COURSE IN KOCHI
2. INTRODUCTION Data Science is a multidisciplinary field that leverages data analysis, machine learning, and statistical methods to extract insights. WHAT IS DATA SCIENCE? WHAT IS ARTIFICIAL INTELLIGENCE (AI)? AI refers to the development of intelligent systems that mimic human cognitive functions. WHY LEARN DATA SCIENCE IN KOCHI? The demand for skilled data scientists is growing, and Kochi is emerging as a hub for data science education and career opportunities.
3. KEY FOCUS AREAS Emphasizes data cleaning, analysis, and visualization. Focuses on building intelligent systems using advanced algorithms. DATA SCIENCE ARTIFICIAL INTELLIGENCE: Our Data Science Course in Kochi ensures students gain practical skills for real-world applications
4. KEY TECHNIQUES USED Data Analysis Data Cleaning and Transformation Statistical Methods Machine Learning Algorithms DATA SCIENCE TECHNIQUES: AI TECHNIQUES: Natural Language Processing (NLP) Computer Vision Robotics Deep Learning ENROLL DATA SCIENCE COURSE IN KOCHI TO MASTER THESE POWERFUL TECHNIQUES.
5. KEY TECHNIQUES USED Python, R, SQL Pandas, NumPy, Matplotlib Jupyter Notebook DATA SCIENCE TOOLS: AI TOOLS: TensorFlow, PyTorch OpenAI, IBM Watson Keras
6. APPLICATIONS DATA SCIENCE APPLICATIONS: Business Analytics Financial Forecasting Customer Behavior Analysis AI APPLICATIONS: Virtual Assistants (e.g., Siri, Alexa) Self-driving Cars Image and Speech Recognition
7. Aspect Data Science Artificial Intelligence Focus Data Analysis and Insights Creating Intelligent Systems Techniques Statistical Analysis, ML Algorithms Deep Learning, NLP, Computer Vision Goal Extracting Meaningful Insights Automating Intelligent Behavior Output Reports, Visualizations, Predictions Smart Systems, Automation Tools Industries Healthcare, Finance, Marketing Robotics, Gaming, Virtual Assistants KEY DIFFERENCES (SUMMARY TABLE)
8. COLLABORATION OF DATA SCIENCE AND AI AI uses Data Science techniques to train models with large datasets. Data Science applies AI algorithms for predictive analysis and decision-making. Example: Netflix uses Data Science for content recommendations and AI for automated tagging and personalization.
9. CAREER OPPORTUNITIES Data Science Roles: Data Analyst, Data Scientist, BI Analyst AI Roles: AI Engineer, Machine Learning Engineer, NLP Specialist
10. CONCLUSION Both Data Science and AI are critical in today's tech landscape. Data Science focuses on understanding data, while AI focuses on creating intelligent systems. Mastering both offers a powerful skill set for future career growth.
11. Q&A Encourage questions and discussions to engage your audience.
12. THANK YOU