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Data Con LA 2022 - Intro to Data Science

The document outlines a top-rated data science bootcamp in Orange County, Los Angeles, and the Inland Empire, offering a full immersion program with hands-on projects and a focus on both machine learning and deep learning. It emphasizes the interdisciplinary nature of data science, highlighting that successful participants should be passionate, detail-oriented, and eager to learn. The program includes two modules over 12 weeks with extensive support and resources for students, including a low student-to-teacher ratio and career services.

Data & Analytics◦
Data Science Bootcamp #1 rated Coding and Data Science Program in all of Orange County, Los Angeles, and the Inland Empire. Full Immersion Program (In-Person/Live Remote)
● Introductions ● What is Data science ● Data Science & Artificial Intelligence ecosystem ● Data science approach ● Hands-on project ● Questions and Answer Agenda
What is Data Science Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Source : https://en.wikipedia.org/wiki/Data_science Let's get started
● Programming/ coding ● Maths and Stats ● Business knowledge Interdisciplinary field Data Science is interdisciplinary
● Passionate about building, creating, and assembling ● Curious and consider yourself a lifelong learner ● Enjoys challenges and problem solving ● Meticulous and detail-oriented ● Logical thinker ● Enjoy working with data Who is the Modern Data Scientist? D a t a S c i e n t i s t P r o g r a m m i n g Math & Stats B u s i n e s s k n o w l e d g e
Intro to Data Science Data Science & Artificial Intelligence ecosystem
Machine Learning
Machine Learning Tools
Data Science Approach Business goal Data collection - Data gathering Data analysis and understanding Data preparation Modeling and model evaluation Business goal evaluation Implementation
The goal of this project is to predict credit limit that should be provided to a new client Age Experience Married/Single House_Ownership Car_Ownership Profession Address Year at current address Years in current job The dataset is available in Kaggle (https://www.kaggle.com) https://www.kaggle.com/datasets/subhamjain/loan-prediction-based-on-customer-behavior?select=Training+Data.csv Hands-on Project
Program Details & Next Steps Program Logistics ● Class Sessions on M,T,TH from 6-9pm and Sat 9am - 2pm ● M,T,TH Office Hours 2-6pm (Instructor Supported) ● Slack Support 9am to 6pm Monday through Friday Program Details ● Two 12 Week Modules ○ Module 1 - Machine Learning ○ Module 2 - Deep Learning and AI ● 3 Week break between Modules ● Extensive Slack Community ● Hands on Experience - 10+ Projects/Exercise Focused
Program Details & Next Steps Step 1(a) - Data Science Prep Class ● Introduction to DS and Python: ● M/W 7-9pm & Sat 10am - 2:30pm ● Free w/ “Info Session” ● Next Class: Oct 4th - Oct 16th Step 1(b) - Apply 1. Submit Full Immersion Application 2. Set Up Virtual/Zoom Interview/Discussion 3. Work With Admissions Advisor on Program Readiness Plan 4. Take Technical Assessment
LearningFuze Values 1. Built for beginners, capable of pushing experienced engineers 2. 6:1 Student-to-Teacher Ratio 3. Instructors with Professional Experience 4. Custom-Built Learning Management System 5. Industry Leading Career Services & Lifetime Access 6. Best Value Bootcamp: Top Rated + Accessible Tuition