Uploaded byData Con LA
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 Con LA 2022 - Intro to Data Science
- 1. Data Science Bootcamp #1rated Coding and Data Science Program in all of Orange County, Los Angeles, and the Inland Empire. Full Immersion Program (In-Person/Live Remote)
- 2. ● Introductions ● Whatis Data science ● Data Science & Artificial Intelligence ecosystem ● Data science approach ● Hands-on project ● Questions and Answer Agenda
- 3. What is DataScience 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
- 4. ● Programming/ coding ●Maths and Stats ● Business knowledge Interdisciplinary field Data Science is interdisciplinary
- 5. ● Passionate aboutbuilding, 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
- 6. Intro to DataScience Data Science & Artificial Intelligence ecosystem
- 7.
- 8.
- 9. Data Science Approach Businessgoal Data collection - Data gathering Data analysis and understanding Data preparation Modeling and model evaluation Business goal evaluation Implementation
- 10. The goal ofthis 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
- 11. 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
- 12. 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
- 13. LearningFuze Values 1. Builtfor 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