Does this prep course guarantee I'll be accepted into the Data Science Career Track?

This course will prepare you with the skills needed in Python and statistics to pass our admissions technical skills survey, but enrolling in this course does not guarantee admission into the Data Science Career Track.

How do I transition from this course to the Data Science Career Track?

You may apply to the Data Science Career Track at any time, even after enrolling in the prep course. As soon as you feel comfortable in Python and statistics, we encourage you to fill out an application and take the admissions technical skills survey. However, students who complete the entire prep course and submit the final project will be fast-tracked through the Career Track application process.

Introduction to Data Science: Online Course + Mentorship

Name: Data Science Career Track Prep
Brand: Springboard
SKU: 59
Price: 490 USD
Availability: InStock
Rating: 4.7 (2557 reviews)

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OVERVIEW

Data science prep in no time

Get ready for the Springboard Data Science Career Track faster. In just four to six weeks, learn the core tools and foundational concepts you’ll need.

By the end of this course you will:

Use Python to complete real-world coding exercises

Get comfortable with aspects of basic probability

Solve a real business problem — practice using data science tools to analyze and visualize data

Confidently tackle Springboard’s Data Science Career Track Technical Skills Survey and determine if a data science career is right for you

You’LL Use tools like:

Curriculum

What you’ll learn in this data science course

In this prep program, you’ll learn the Python, statistics, and probability skills that will prepare you for the Technical Skills Survey (TSS). Once you pass the TSS, you’ll have the option to enroll in the Data Science Career Track.

Explore 8 topics

1: Intro to Data Science and Python

2: Intermediate Python

3: Foundations of Probability

4: Python: Data Structures and Algorithms

5: Technical Skills Survey

6: Your Data Science Toolbox

7: The Apps Project

8: Congratulations

Topic 1: Intro to Data Science and Python

In this opening unit, you’ll learn about the common problems that data scientists solve and get your feet wet in Python and basic statistical concepts.

Learn why Python is such a popular programming language
Start building Python programming skills
Learn about computational thinking and its importance in data science

HOW IT WORKS

How you’ll learn in this data science prep course

This course mirrors the Springboard Data Science Career Track, so you’ll see how a results-focused approach sets you up for the career you want.

Prep with expert curated curriculum

Build your foundational skills in Python programming and statistics, as well as introductory data science concepts via a curriculum curated by experts.

Learn online, not alone

You’ll meet with your mentor weekly. They work in the industry and can give you feedback on projects, answer questions, and tell you what it’s like to work in data science.

Grow your skill with hands-on learning

The best way to learn is to do. You’ll complete a real-world case study where you’ll analyze and visualize data from Google and Apple, and learn how to present the insights.

MENTORSHIP

Better mentors mean better prep. Yours will help you think like a data scientist.

At Springboard, we believe humans help humans learn better.

You’ll have six 30 minute 1-on-1 sessions with a personal mentor — someone who works in the field and will be your partner throughout the course.

Learn more about Springboard mentorship

Personalized guidance to move you forward
Build skills faster with an industry expert in your corner.

Accountability at every step
Weekly calls with your mentor mean blockers will be removed and you’ll stay on track.

Industry insight on call
Your mentor is a window into the industry and will provide guidance and an insider's perspective.

Mentor: Alex Chao

Data Scientist

Mentor: Ike Okonkwo

Data Scientist

Mentor: Mitul Tiwari

Head of Natural Language AI

Mentor: Sameera Poduri

Data Science Manager

Requirements

Is this program right for you?

The Data Science Prep Course was created for people from all backgrounds who need an introduction to, or a refresher in, Python programming or foundational data science concepts.

Prerequisites:

No prior coding experience is required

Must be proficient in high-school level mathematics and statistic

Must have a Mac or PC and an internet connection

Tuition

Cohorts begin every Monday. Complete the course in four to six weeks or approximately 60 hours.

One-time payment

$490

Receive a tuition credit of $490 if you apply and are accepted into the Data Science Career Track bootcamp.

What’s included in the tuition:

Curriculum created by educators and experts in Python and data science with proprietary learning content, practice exercises, quizzes, and projects

Six weekly sessions (30 minutes each) with your expert mentor, including review of exercises and your final project, plus a dedicated student advisor and student operations support

Lifetime access to the curriculum and practice exercises

Preferential application review and admissions fast-tracking for the Springboard Data Science Career Track upon successful course completion

Already have coding experience?

Become a data scientist backed by the Springboard Job Guarantee with our Data Science Career Track.

Learn more

Your questions, answered

How long is the course?

It’s expected that you can complete the course in 4-6 weeks at 10-15 hours per week. You may complete the course faster or, if you need more time, you have the flexibility to complete it at your own pace. However, you will be limited to six mentor calls for this course.

Are there any prerequisites for this course? Do I need to know Python?

No prior coding experience is required, but to be successful, you should be proficient in high-school-level mathematics with an openness to learning more advanced concepts.