Your Mission: Mastering Complex
Data Science Concepts and 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:
Learn basic, commonly used data science tools and techniques including Python libraries, distance metrics, dimensionality reduction, and transformations.
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.
Gain a deeper understanding of your data through aggregation, summarization, visualization, and correlation estimation.
Now, we are arriving at the Describe planet. Here, 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. Hold on! We¹re about to touch down!
Find hidden relationships and patterns in your data through clustering and regression methods, such as k-means and linear regression.
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. Buckle up! We¹ll be entering the Discover planet¹s atmosphere very soon!
Learn how to use past observations to make predictions about future or unknown events, using techniques such as neural networks, tree based regression, random forests, and more.
Traveling on, we are going to the Predict planet. Here 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. Get ready! The captain says we¹re about to land!
Define possible decisions and use genetic algorithms to find the decision that yields the best outcome.
We just reached the Advise planet. Now that you can predict likely future conditions, it¹s 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. Lets go! The Data Science Officer is about to give us our next mission!
Learn about the hardware and software ecosystems that can be used to analyze data sets that require multiple machines for storage and processing.
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. Hurry! The briefing is about to begin!
Course Scope & Objectives
Explore Data Science is not meant to be an exhaustive exploration of all that is data science. Instead, interactive, hands-on exercises provide an introduction to commonly used data scientist techniques. At the completion of the course, student will have experience with the following techniques:
- Distance metrics
- Dimensionality reduction
- Genetic algorithms
Explore Data Science: By the Numbers
- 32 missions
- 142 objectives
- 337 tasks
- 40 hours of interactive content
- 168,500 total points available
- 18 achievement awards
Learn more about how Booz Allen’s data science experts help our clients solve their most difficult challenges.
Take a look at the interface and other interactive features that Explore Data Science has to offer.