Data Science Practicum Program

Learn data science and gain valuable industry experience, all in a single program.

Learning and Experience Combined

Top organizations are always looking for individuals with proven industry experience. Job seekers often find this frustrating. Data Science Dojo has a unique solution to offer. With our Practicum Program, your training leads into an internship where you get to work with our data science and engineering teams, gaining quality experience. The Practicum Program guarantees career support by conducting mock interviews and helping you strengthen your job applications.

Practicum Highlights

Data Science Bootcamp

Be a part of our top-rated Data Science Bootcamp and learn a diverse set of skills in a highly collaborative environment. With a comprehensive curriculum and hands-on experience, you will acquire all the knowledge you need to steer your career as a data scientist.

Career Support

The Practicum Program comes with a comprehensive career support package. Our experts and mentors help you build your data science portfolio and prepare you for data science interviews. The whole program is designed to ensure success in the market.

Free Trainings and Tutorials

Your journey doesn’t end with this program. The Practicum Program comes with added benefits that last even after you’ve completed the training. You will have access to free courses, tutorials, blog articles, and problems and exercises to help you practice your data science skills.

Career Tracks

We offer a range of career tracks for you to choose from. What is more, these tracks do not restrict you to a single aspect of data science and can always go in conjunction with others, based solely on your interests. 

Analytics translators are professionals who serve as a bridge between various actors in a data science organization. Besides an understanding of core data science/engineering concepts, Analytics Translators possess skills like domain knowledge, project management, requirement gathering, prioritization, customer communication, and communication of insights and results.

Who should consider this track?

If you would like to build a career as a product manager for data products, this track would be a good fit for you.

What will a trainee learn in this role?

We use some of the most sophisticated tools for analytics. You will be expected to understand customers based on usage heatmaps, email/web analytics, customer communication, and other sources of data and come up with product ideas. You will be asked to prioritize the features in these products and get at least one product implemented by the end of your 12-week trainee period.

Our customers interact with us via different touch points. Besides our website they visit other properties like code.dsd, blog, tutorials, learning platform, and demos. In addition to this, our customers also interact with us through our Facebook, LinkedIn, Twitter, YouTube, and Instagram channels. We also send out email campaigns and surveys to our customers. Customer understanding track focuses on getting actionable insights about customers using all of these data points.

Who should consider this track?

Anyone interested in building a career in web analytics, customer understanding, market research, and building data products.

What will a trainee learn in this role?

We use cutting-edge tools and techniques for understanding customer behavior, including HubSpot, Hotjar, Google Analytics, Segment.IO for data acquisition. You will be cleaning, joining, aggregating a lot of messy data. You will be expected to perform exploratory analysis on this data and possibly build propensity/churn models on real-world data and test your models in real business setting.

Modern marketing is all about being data-driven. Our state-of-the-art marketing analytics infrastructure collects a lot of data. How do we know which of the marketing campaigns, referrers, touch points, or channels is effective? How should we allocate our advertising dollar?

Who should consider this track?

If you’re interested in the marketing aspects of data science and aspire to become a Marketing Data Scientist, this track is ideal for you.

What will a trainee learn in this role?

You will work at the intersection of classical marketing strategies and modern data science tools and techniques. You will learn tools for CRM, data acquisition, event tracking, campaign management, and visualization.

Data-driven sales strategies have become so powerful that organizations have dedicated groups of data scientists and analysts working on sales data. These organizations, clearly, see immense value in gathering insights from sales data. Sales analytics is identifying, modeling, and predicting trends to determine the best course of action for increased results. It involves all forms of business transactions, calls, emails, and meeting notes. You will work on creating target segments with the cutting edge tools and techniques in industry.

Who should consider this track?

If you have an interest in data-driven sales strategies, this track is for you. This track will help you in becoming a Sales Strategist who can extract valuable information from data and recommend the best course of action.

What will a trainee learn in this role?

You will learn to analyze textual data by processing and modeling a large number of emails. We use Outlook 365 and HubSpot to track email interactions. You are expected to perform exploratory analysis by converting unstructured data into structured data and create topic models.

Almost every business has an online presence these days. Web analytics is a popular resource to collect and measure web data to understand and optimize web usage. We use the most sophisticated tools in the industry to optimize user experiences. It involves analyzing traffic data to map user behavior and increase conversion rates.

Who should consider this track?

If you’re looking for a career in Web Analytics and Engineering, this track is ideal for you. The tasks during the trainee period will increase your understanding of user behavior flows.

What will a trainee learn in this role?

You will learn to analyze traffic data and understand user behavior on the web. We use Google Analytics, HubSpot, and Hotjar to monitor our website’s performance. You are expected to create actionable reports and recommend changes in web pages by developing a hypothesis and conducting online experiments.

Social media is commonly used to build an online presence and these networks collect large amounts of data every second. We have a huge following on YouTube, LinkedIn, Facebook, Twitter, and Instagram along with several posts and mentions daily. This track involves gathering data from social networks to analyze and recommend changes to enhance likability.

Who should consider this track?

If you’re interested in the marketing aspect of data science, particularly the social media platforms, this track is for you.

What will a trainee learn in this role?

You will work on gathering data from multiple social media networks using APIs to measure performance of our social media channels. You will also work on consolidating large amounts of semi-structured data to analyze social sentiment by putting them into context and categorize emotions by intensity.

Customer feedback is one of the most important aspects of business. It is essential to collect feedback and understand customers’ experiences. We analyze our customer feedback closely so we can find the hidden value for improving our services. This track involves working with surveys, reviews, and user behavior data gathered from our learning platform to learn about our customers needs.

Who should consider this track?

If you’re looking to build a career in customer success analytics and building data products, this track is ideal for you.

What will a trainee learn in this role?

You will learn to analyze customer feedback by consolidating various sources of feedback into a structured form and build data visualizations for exploration. Using natural language processing techniques, you will work on understanding customer satisfaction.

Every organization sends/receives thousands of emails. Measuring the success of email campaigns can directly attribute to revenue or conversions. Being able to harness insights from email campaigns can put organizations ahead of their competitors. Our email campaigns generate a lot of data and we use cutting-edge tools and techniques to track and analyze our email campaigns.

Who should consider this track?

If you’re interested in becoming a Marketing Data Scientist, with a special focus on communication via email, this track will be a great choice for you.

What will a trainee learn in this role?

You will work on analyzing email campaigns to explore possible improvements in campaign design and outreach. We use HubSpot, Google Analytics, and Mandrill to track email campaigns. You are expected to run exploratory data analysis and conduct A/B tests on email campaigns.

Online advertising has proven to be an effective way to acquire customers. With online advertising, we get data to measure the success of an ad. A combination of marketing goals and ad metrics allows us to build predictive models. Knowing all the moving parts in an ad campaign can directly drive an organization’s revenue. This track involves working on ad campaigns data to enhance effectiveness of advertisements.

Who should consider this track?

This track is for you, if you’re interested in the marketing side of data analytics. The focus will primarily be on advertisements and how to make the most out of them.

What will a trainee learn in this role?

You will work on advertising campaigns data from Google Adwords, Facebook, LinkedIn, and Instagram. You are expected to optimize acquisition cost, time to ROI prediction, segment target audience, and build propensity to buy models with real advertising campaigns.

Event logs represent a prime source of big data. Given the rich and varied data in event logs, it is a critical skill to have for a Data Scientist. Our learning platform and other web properties utilize cutting-edge technologies in software and data engineering. This track might involve any of the following:

  • Setting up ETL pipeline for various online properties
  • Mining of events (clicks, page loads, logins etc.)
  • Writing scripts


Who should consider this track?

If you’re interested in becoming a Data Analytics Engineer or starting a career as a Developer with a focus on data analytics, this track is ideal for you.

What will a trainee learn in this role?

You will work on building a data analytics pipelines for multiple platforms with fine-grain event tracking. You are expected to extract event logs, analyze user behavior, and build dashboards for real-time tracking.

How It Works

Application Form

Fill out the application form to show your interest in our competitive Practicum Program.

Interview Phase

Succeed in a series of interviews and get a chance to learn and work with Data Science Dojo.

The Bootcamp

Attend the 16-week Data Science Bootcamp in an interactive environment with live instructions.

Trainee Period

Work with our teams of scientists and engineers for 12 weeks to gain quality experience in data science.

Career Support

Prepare for job interviews through our career support and one-to-one mentoring sessions.

Internet of Things

Career Support

Get a chance to work with professionals, right after your training. Learn data science and gain quality experience with our Practicum program.

Attend the Bootcamp

Learn the skills necessary to succeed in the world of data science.

Polish Your Skills

Work as an intern with our teams of data scientists and engineers.

Secure a Job

Prepare for job interviews through our career support program.

Technology Stack

During the Bootcamp and while working with our teams, you will get to learn and use numerous tools to put your knowledge to practice. With an understanding of all the latest tools and technology, you’re bound to succeed in the market.

Tools and Environments

Cloud Platforms

Storage and Databases

Teamwork and Collaboration

CRM and Automation





Trusted by Leading Companies

Recommended by Practitioners

Jaichitra Balakrishnan is a Senior Machine Learning Scientist at Deloitte. She is actively involved in practical data science, working on speech synthesis, computer vision, and machine learning among other things. Her experiences at the Data Science Dojo Bootcamp equipped her with modern skills in data science, helping her transition from a descriptive analytics individual to a skilled predictive analytics professional.

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Frequently Asked Questions

We do not believe in one-size-fits-all. However, each of the career tracks involves a lot of work. While you may eventually end up working on multiple areas, we will encourage trainees to stay focused on just one career track.

The Practicum Program is a complete package, including the 16-week Data Science Bootcamp and a 12-week internship. To benefit from our career support, you must first attend our Bootcamp.

However, we’re always looking for individuals interested in working with us as full-time employees or interns. Visit out careers webpage for our current job openings.

We offer the Data Science Bootcamp at least once every quarter (four times a year). Practicum attendees can start with any of the cohorts listed on our schedule.

Yes, the Practicum Program is meant for those who are committed to changing careers and provides a path to learn practical data science and analytics roles. The internship requires you to commit for 40 hours every week.

We are located in Redmond, WA. However, due to the COVID-19 pandemic, this position is going to be remote. You will be expected to work like any other Data Science Dojo team member using online collaboration and productivity tools.

The 12-week internship is unpaid. However, it comes with continued career support, making you a better fit for the job market. The skills you learn and the experiences you gather during the Practicum Program will help you secure a quality job after completing the Practicum program.

No. But keep in mind that this is a real learn and work opportunity. We expect your work hours to have at least 4 hours of overlap with rest of the team in Redmond, WA.

No. We consider job guarantees in a certain role border-line unethical. Thousands of past attendees have transformed their careers as a result of our training. However, your motivation and hard work will determine the job outcome.

However, we offer dedicated career support throughout the program. Besides giving you practical work experience, we will help you with interview preparation, conduct mock interviews, and 1:1 mentoring sessions to help you build your data science portfolio, such as having a git repository, youtube tutorials, blogs, and other social media posts.

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Get in touch

Feel free to ask questions or share your comments with us. We'll get back to you soon. You can also reach out to us by phone or email.