A Simple Introduction to data Science- what is it and what does it do
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A Simple Introduction to data Science- what is it and what does it do
- 1. DATA SCIENCE —GENERAL INTRODUCTION SARAH MABROUK Explore what Data science is, what business intelligence is, how it’s related to cloud computing and its uses in modern world
- 2. What is Data Science Data Scientist Business Intelligence Data Science Tools Cloud Computing Use Cases Conclusion 01 02 03 04 05 06 07
- 3. Data science combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI) and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization’s data. These insights can be used to guide decision making and strategic planning. Data Science DEFINITION https://www.ibm.com/
- 4. Business Problem Understanding 10 Data collection 10 Data cleaning & Preparation 10 Exploratory data analysis 10 Feature Engineering 10 Machine Learning Model 10 Model Evaluation 10 Data Visualization 10 6 5 4 3 2 1 7 8 LIFECYCLE API Web Scraping Varies depending on the type of data Using machine learning and deep learning models Testing the ML model Using tools like Tableau & PowerBI
- 5. Understand the business to ask relevant questions and identify pain points. Apply statistics, computer science, and business knowledge to data analysis. Use various tools for data preparation and extraction, including databases, SQL, data mining, and data integration methods. Extract insights from big data using predictive analytics, AI, machine learning, natural language processing, and deep learning. Write programs to automate data processing and calculations. Communicate findings clearly through storytelling and visualization for all levels of stakeholders. Explain how results can address business challenges. Collaborate with team members such as data analysts, business analysts, IT architects, data engineers, and application developers. Data science is considered a discipline, while data scientists are the practitioners within that field DATA SCIENCE VS. DATA SCIENTIST 2
- 6. 3 It’s easy to confuse Data Science with Business Intelligence (BI), because they both incorporate analysis of data. But they differ in focus: BUSINESS INTELLIGENCE
- 8. Data science incorporate the use of large datasets --> We need tools that can scale with the size of the data (for either big companies, or small startups) Cloud Storage Solutions (e.g Data lakes) gives access to storage infrastructure => Capability to ingest & process large volumes of Data easily Cloud Storage Solutions : provide flexibility to users, and the ability to store large amounts of data as needed. (2) Note: Cloud platforms have different pricing methods (per-use / subscriptions) to meet with the users needs (enterprise, startup) (2) Simply put, cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.(1) CLOUD COMPUTING (1) Source : Microsoft Azur (2) ibm.com 5
- 9. 6 USE CASES Source: Mohamed Javed Ramzan thesis
- 10. Conclusion Data science involves using mathematics, specialized programming, and advanced analytics to extract actionable insights from data, guiding decision- making and strategic planning. The field is rapidly growing across industries, requiring collaboration between various roles and tools, including cloud computing, to process and analyze large datasets efficiently. DATA SCIENCE GENERAL INTRODUCTION 7