Description

IDEAS two days Data Science Bootcamp is hands-on training designed to give students data analytics and machine learning skills to launch their careers in data science. Students will work on three industry projects including digital marketing, churn analysis and fraud detection to build project portfolio in their resume. Career advisors are deliciated to help students in job referrals and mock interviews.

 

TRAINING OVERVIEW

WHO ARE WE?

As our world moves toward an increasingly data-driven reality, we believe it is critical that we service this data ecosystem as a whole. In the field, data science and data engineering go hand-in-hand. Data engineering lays the

foundational infrastructure for data science while data science generates innovation that makes the whole thing worthwhile. To better reflect this, we started the International Data Engineering and Science Association or IDEAS for short.

We bridge the gap between academia and the industry. We build a data engineering and science hub by providing robust resources and connecting real-world expertise together from business leaders, professionals, and promising students. Our vision is to foster the data engineering and data science ecosystems and broaden the adoption of their underlying technologies, thus accelerating the innovations data can bring to society. We empower and nurture community growth by offering online resources, conferences, latest industry trends, and data related job opportunities.

 

DETAILS

Tentative Schedule

DAY ONE

Session 1: Intro to Data Science:

• Data Science Project Full Cycle
• Intro to Machine Learning
• Exploration Analysis

Session 2: Python Data Science Eco-System:

• Pandas
• Numpy
• Scikit-Learn

Project 1 – Data Exploration in E-Commerce Project

DAY TWO

Session 3 & 4: Machine Learning Algorithm:

• Supervised Learning: Classification
• Supervised Learning: Regression
• Unsupervised Learning: Clustering and outlier detection
• Unsupervised Learning: Dimension Reduction

Session 5: Deep Learning:

• Neural Network

Session 6: Project 2 – Fraud Detection in the Finance Industry

Session 7: Project 3 – Churn Analysis

Click here to download the training syllabus 

 

VENUE

824 S Los Angeles St #400, Los Angeles, CA 90014

WHY CHOOSE US?

Major benefits from this 2 days Data Science training program

• Data Scientist Certificate from IDEAS
• Industry hand-on coding and analysis experience
• Three end-to-end industry projects
• Mock interview with senior data science interviewer
• Job referrals in IDEAS community

 

IDEAS TRAINING vs MOOC

Even though the online education field is booming, the classroom format has many benefits for data science students. The major reason behind the popularity is the fact that the quantity of content is significantly vast and the guidance that students get from faculties. Another major advantage is the hand-on experience that students get, classroom training is more efficient when it comes to getting doubts clear. Practical sessions also play a major role in the popularity of classroom format of education. Data science is a vast domain, the level of knowledge and experience required to become a top data scientist is huge. Our industry projects are proved to be one of the best ways to learn data science.

 

PREREQUISITES

• Have taken statistics, probability, calculus and linear algebra in an academic setting.
• Basic Python programming skills.
• Strong personal motivation to tackle data sets and become a data scientist.

(If you don’t have statistics or Python knowledge, please contact us, we will provide related courses.)