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DataScience fundamentals and Python Coding
- 1. Data Science Fundamentals: Writeyour First Python Code in 60 minutes
- 2. Contents 2 ▰What is DataScience? ▰Why Data Science? ▰How Data Science is utilizing in industries ▰Data Science career? ▰Salary Range? ▰How Data Science work? a
- 3. Artificial Intelligence 3 a Artificial intelligence(AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem- solving.
- 4. Machine Learning Machine learningis an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
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- 7. What is DataScience? ▰Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
- 8. Application of DataScience
- 9. Data Science Goalsand Deliverables Here is a shortlist of common data science deliverables: ▰Prediction (predict a value based on inputs) ▰Classification (e.g., spam or not spam) ▰Recommendations (e.g., Amazon and Netflix recommendations) ▰Pattern detection and grouping (e.g., classification without known classes) ▰Anomaly detection (e.g., fraud detection) ▰Recognition (image, text, audio, video, facial, …) ▰Actionable insights (via dashboards, reports, visualizations, …) ▰Automated processes and decision-making (e.g., credit card approval) ▰Optimization (e.g., risk management) ▰Forecasts (e.g., sales and revenue)
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- 11. Microsoft Speech Recognition Control MicrosoftSearch Engine Data Science applications contd..
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- 13. Fraud Detection ▰Data Scienceis getting better and better at spotting potential cases of fraud across many different fields. PayPal, for example, is using machine learning to fight money laundering. The company has tools that compare millions of transactions and can precisely distinguish between legitimate and fraudulent transactions between buyers and sellers.
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- 15. AI—A Game Changerfor Climate Change and the Environment ▰AI has helped farmers get 30 percent higher groundnut yields per hectare by providing information on preparing the land, applying fertilizer and choosing sowing dates. In Norway, AI helped create a flexible and autonomous electric grid, integrating more renewable energy. ▰And AI has helped researchers achieve 89 to 99 percent accuracy in identifying tropical cyclones, weather fronts and atmospheric rivers, the latter of which can cause heavy precipitation and are often hard for humans to identify on their own. By improving weather forecasts, these types of programs can help keep people safe.
- 16. Financial Trading ▰Many peopleare eager to be able to predict what the stock markets will do on any given day — for obvious reasons. But machine learning algorithms are getting closer all the time. Many prestigious trading firms use proprietary systems to predict and execute trades at high speeds and high volume.
- 17. Natural Language Processing (NLP) ▰NLPis being used in all sorts of exciting applications across disciplines. Machine learning algorithms with natural language can stand in for customer service agents and more quickly route customers to the information they need.
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- 19. Salary Range inUSA 19
- 20. Who can learnData Science …. Undergraduate Students / Graduate students To get job quickly Professionals To improve their skills Professional in their mid-career Retain their career in new emerging field of data science as whole industry Is moving with Data science else ready to face challenges
- 21. Data Science asa Career ▰If you are passionate about building a career in the hot field of data science, leverage that to drive business innovation then this course is for you. ▰Data Science is not just a career choice, it is a paradigm shift that is shaping the future that we are moving into.
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- 23. Python features ▰Simple andeasy to learn ▰Compatible with running on cross platforms ▰It is high level and interpreted language ▰Perform data manipulation, analysis and visualisation ▰Powerful libraries for machine learning applications