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.

1. 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)

2. ● Introductions
● What is Data science
● Data Science & Artificial Intelligence ecosystem
● Data science approach
● Hands-on project
● Questions and Answer
Agenda

3. 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
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4. ● Programming/ coding
● Maths and Stats
● Business knowledge
Interdisciplinary field
Data Science is interdisciplinary

5. ● 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?
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Math & Stats
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6. Intro to Data Science
Data
Science &
Artificial
Intelligence
ecosystem

7. Machine Learning

8. Machine Learning Tools

9. Data Science Approach
Business goal
Data collection - Data gathering
Data analysis and understanding
Data preparation
Modeling and model evaluation
Business goal evaluation
Implementation

10. 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

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. 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