Zia Khan, Computer Systems Analyst and Data Scientist at LearningFuze Data Science tutorial is designed for people who are new to Data Science. This is a beginner level session so no prior coding or technical knowledge is required. Just bring your laptop with WiFi capability. The session starts with a review of what is data science, the amount of data we generate and how companies are using that data to get insight. We will pick a business use case, define the data science process, followed by hands-on lab using python and Jupyter notebook. During the hands-on portion we will work with pandas, numpy, matplotlib and sklearn modules and use a machine learning algorithm to approach the business use case.

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
Let's get started

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