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Explore the Art of Turning Data into Actions

Explore Data Science introduces common data science theory and techniques to help programmers, mathematicians, and other technical professionals expand their data science expertise.

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Take a Tour of Explore Data Science



Your Mission:
Master Complex Techniques

Embark on a galactic journey into the data science universe. Explore six different “planets.” Execute interactive data science missions and work through challenge questions. Most importantly, have fun along the way! Earn points, awards, and badges while achieving analytic goals in the course’s six different planetary modules.

Click on a planet below to view a synopsis of its contents
6 Planets
32 Missions
  1. Foundations
  2. Describe
  3. Discover
  4. Predict
  5. Advise
  6. Scale

1. Foundations

Our journey begins on the planet Foundations, where you learn about Python, the software we use throughout our exploration. Although there are other programming languages suitable for Data Science, we use Python because it is easy to read and understand. On this planet we also introduce techniques that are used on all of the other planets you explore.

2. Describe

On the Describe planet, you learn how to explore data to understand its content. You need to quantify the range of values, identify missing or null values, and understand variability within the data. This information helps you decide how to appropriately use the data. You explore summary statistics, correlation measures, and basic data visualizations.

3. Discover

The next stop on our journey is the Discover planet. The focus of our visit is on building an understanding of the key relationships within our data. This includes discovering natural groupings, as well as determining which data attributes are important.

4. Predict

On Predict, you build upon what you learned on the Describe and Discover planets in order to predict likely future outcomes. You study how we can predict the value of one data attribute based on the values of others, using techniques such as classification, regression or recommendation.

5. Advise

Now that you can predict likely future conditions, it’s time to learn how to choose the course of action that best achieves a desired outcome. Once you know that, you can advise decision makers on what actions they should take.

6. Scale

Our exploration of the Data Science Universe concludes on the Scale planet. On our journey we showed you how to Describe, Discover, Predict, and Advise, but the data you encountered could always be stored and processed on a single machine. On the Scale planet we show you how to apply our Data Science tools when the data gets so big that you need several machines.


Setup-free
In-Browser Code Execution

While you’ll be using Python to complete the interactive challenges, there’s no need to fuss with environment and package setup. Explore Data Science has code execution right in the browser, meaning that you’ll get real results—in real time.

142 Objectives
337 Tasks
Console
X = np.array([data[x] for x in data.dtype.names]) X.std(axis=0) array([1.11803399, 1.11803399, 1.11803399, 1.11803399])

Discover an
Immersive Learning Environment

Earn badges and awards as you cruise through the data science cosmos. Choose to celebrate your progress along the way with your friends and colleagues in your LinkedIn, Twitter or Facebook communities.

18 Achievements
6 Cargo Items
Booz Allen Deep-Space Explorer

Course Overview:
Scope and Objectives

Explore Data Science is not meant to be an exhaustive exploration of all that is data science. Instead, interactive, hands-on exercises provide a focus for commonly used data scientist techniques.

At the completion of the course, students will have experience with the following techniques:

  • Distance Metrics
  • Dimensionality Reduction
  • Transformations
  • Aggregations
  • Clustering
  • Regression
  • Classification
  • Recommendation
  • Genetic Algorithms

Who Will Benefit:
Ideal User

Explore Data Science is custom-tailored so anyone with basic skills and proficiency in statistics, linear algebra, and programming will find themselves immediately at home.

Professionals and students in the following industries will benefit from this curriculum:

  • Software Developers
  • Data Professionals
  • Engineers
  • Mathemeticians
  • Professors
  • Statistician
  • Investors
  • Economists
  • Physicists
  • Financial Advisors
  • Computer Science, Math, and Engineering Students

Ready to Begin Your Journey?

Start your data science training today.

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