Data Science Prep Course

Data Science Prep Course

Data Science Prep Course

Prerequisite part-time prep course for LearningFuze's Full-Time and Part-Time Data Science programs.

Prerequisite part-time prep course for LearningFuze's Full-Time and Part-Time Data Science programs.

Prerequisite part-time prep course for LearningFuze's Full-Time and Part-Time Data Science programs.

intro to data science student
intro to data science student
intro to data science student

Overview

This 2-week, live prep course is a prerequisite for our Full-Time and Part-Time Data Science programs. During guided sessions you'll learn foundational Python, stats and data skills.

$95

Price

Duration

2 weeks, 6 sessions

Experience

None Required

Location

Online

Mon, Tues, Ths

6:00 pm - 8:00 pm PST

October 7 - 18

Upcoming prep dates

What you'll learn

Data Science 101

Explore modern Data Science use cases, review core data methodologies and learn industry terminology.

Python Fundamentals

Practice fundamental python concepts for data science including syntax, flow control, functions, and data structures.

Statistics Basics

Cover stats concepts especially descriptive statistics, standard deviation, and variance for data science use cases.

Hands-on project

Complete a hands-on project using analytics and coding skills covered in the course to gain insights on real-world data.

group of students on computer
group of students on computer
group of students on computer

Part-time Data Science Prep Course

Part-time Data Science Prep Course

How the course works

How the course works

How the course works

Our live Data Science prep course covers 25+ topics with interactive exercises taught by data professionals with 20+ years of experience.

Receive 1:1 personalized support as you learn and dive into the world of data science!


All students who wish to enroll in the Full-Time and Part-Time Data Science courses must pass a technical assessment and successfully complete a behavioral interview to be admitted.

Our live Data Science prep course covers 25+ topics with interactive exercises taught by data professionals with 20+ years of experience.

Receive 1:1 personalized support as you learn and dive into the world of data science!


All students who wish to enroll in the Full-Time and Part-Time Data Science courses must pass a technical assessment and successfully complete a behavioral interview to be admitted.

Our live Data Science prep course covers 25+ topics with interactive exercises taught by data professionals with 20+ years of experience.

Receive 1:1 personalized support as you learn and dive into the world of data science!


All students who wish to enroll in the Full-Time and Part-Time Data Science courses must pass a technical assessment and successfully complete a behavioral interview to be admitted.

Enrollment path

Enrollment path

Enrollment path

This Data Science prep course is a prerequisite for our Full-Time and Part-Time Data Science programs.

This Data Science prep course is a prerequisite for our Full-Time and Part-Time Data Science programs.

This Data Science prep course is a prerequisite for our Full-Time and Part-Time Data Science programs.

Step 1: You are here

Step 2: Behavioral interview

Step 3: Technical assessment

Step 4: Program admittance

Data Science Prep Course

Step 1: You are here

Python

Basic statistics

Data structures

Functions and classes

Hands-on Kaggle project

Debugging & Prototyping

Behavioral interview

Step 2: Getting to know you

Assess soft skills

Explore past experiences

Discuss desired outcomes

Level-set commitment

Provide feedback

Technical assessment

Step 3: JavaScript knowledge

Conditionals, loops, and data structures

Writing functions and creating classes

Python packages

Measures of centrality/variability

Hypothesis testing

Program admission

Step 4: Step-by-step support

Curriculum details

Orientation

Support resources

Schedule and roadmap

Enrollment instructions

What makes us different?

In-person and remote live instruction

Students will maximize their experience and learning by having direct interaction with instructors, whether attending in-person or live online, around the fundamental concepts of data science.

Daily support from your dedicated data coach

Students are never truly alone, even when working after hours. Each cohort has a dedicated Slack channel and data coach, available outside class hours to answer questions.

FAQ

+ How long is the Data Science prep course?

2 weeks with classes held on Mondays, Tuesdays, and Thursdays from 7:00 pm — 9:00 pm PST.

+ What’s the class schedule?

The Data Science prep course is a remote, part-time course that consists of 6 classes:

  • 2 Mondays (6:30 pm PT - 8:30 pm PT)
  • 2 Tuesdays (6:30 pm PT - 8:30 pm PT)
  • 2 Thursdays (6:30 pm PT - 8:30 pm PT)

+ Who teaches the Data Science prep course?

The course is taught by Data Scientists with 30+ years of experience. In addition to the instructors, students have access to a data science-specific career coach.

+ What is the curriculum?

Our modern Data Science prep course curriculum includes concepts such as:

  • Data science methodologies
  • Python
  • Flow control
  • Data structures
  • Functions and classes
  • Descriptive statistics
  • Measures of centrality
  • Inferential stats

+ Is the Data Science prep class taught in-person?

No, our data science prep course is taught live, online.

+ Can anyone take the Data Science prep course?

Yes, the course is open to everyone, regardless of skill level. However, students should self-study, at minimum, coding and math before taking the course. We offer a free Python prep course for prospective students.

Ready to get started?

Dive deeper into the part-time course structure while learning about how we have a deep commitment to your education and career.

Ready to get started?

Dive deeper into the part-time course structure while learning about how we have a deep commitment to your education and career.

Ready to get started?

Dive deeper into the part-time course structure while learning about how we have a deep commitment to your education and career.