Launch Your Career in Data Science

Your future starts with us! Build key data science and machine learning industry experience, learn & reinforce new skills, and shape your professional brand to kick-off your new career with our Practicum program.

Full-time

Remote

A proven track record with

0 +
graduates worldwide

3000+ employers

Comprehensive curriculum

Exclusive career solutions

Alumni From More Than 3000 Employers

I spent several months trying to teach myself the fundamentals needed to begin with data science. I took classes on several of the big MOOC websites, but I struggled when trying to apply the concepts to real-world situations. I read about how I needed a strong math and statistics foundation to start in machine learning, and the path seemed daunting. The Data Science Dojo team has created a program that gives you a foundation to begin with data science. They pushed us to ask questions and think like a data scientist, and gave many real world examples to solidify the concepts.

Caitlin Whitlock

Research Scientist

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Caitlin Whitlock - Amazon
4.5/5
course report | Data Science Dojo
4.6/5
switchup reviews | Data Science Dojo

The Practicum Experience

Top organizations are looking for individuals with proven industry experience that many fresh graduates or job seekers with experience gaps don’t have. Data Science Dojo has a unique solution to this problem: Practicum. Practicum approaches changing or starting your career in data science differently. Instead of focusing on classroom learning, Practicum starts with real experience in the form of a data science internship where interns get to work with our data science and engineering teams. Couple internship experience with rigorous classroom learning and career support, and Practicum interns will start their careers in data science.

Engineering_Data Science Dojo

Comprehensive Curriculum

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.

Our Instructors are Data Science Professionals

Data Science Dojo students are exclusively taught and mentored by leading experts in data science. Our team brings years of professional experience into the classroom to help put data science and analytics in an organizational context.

Raja Iqbal

Raja Iqbal

CEO & Chief Data Scientist at Data Science Dojo

Sara Malvar

Sara Malvar

Sr. Software Development Engineer at Microsoft

Jimmy Nguyen-Data Science Dojo

Jimmy Nguyen

Senior Data Scientist at LinkedIn

Roman Holenstein

Roman Holenstein

Machine Learning Engineer at Apple

Melissa Dalis

Melissa Dalis

Data Science Manager at Instagram

Building Your Professional Brand

Finding a job is a team sport. In fact, 80% of jobs are filled through networking. With practicum, we work together to help get your data science career off the ground. In addition to our team, we’ll pair you with one of our world-class mentors who will support you throughout this journey.

Prioritizing Career Success

Practicum will jumpstart your professional data science career. With that in mind, you will be assigned and work with a dedicated mentor to master your job search through portfolio management, resume writing, interview support, LinkedIn, and more.

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Continuous 1-on-1 Support

You won’t just work with a dedicated mentor but also with our data science and engineering teams! From day one, we’ll work with you to define career goals and structure projects around them to set you up for success within the program and beyond.

A community for You

Data Science Dojo has a wealth of graduates and community members from large organizations to small firms around the world. We will help connect you with community members and alumni that match your career goals to help you get hired.

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Career Paths

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.

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

Infrastructure

Analytics

ETL

LMS and CMS

Get Paid While You Work

One of the problems with full-time programs is the financial stress of not working while completing the program. We aim to solve this problem by paying students while they complete their Practicum internship. Students can opt-in to receive a monthly stipend to help relieve the financial hardship of full-time learning.

Practicum Stipend | Data Science Dojo
Practicum Stipend | Data Science Dojo

Income Share Agreement

Not only will we pay you, but students who sign up with an income share agreement (ISA) don’t make payments towards the program until they get a job. With an ISA, students only start making payments once they get a job after completing the program, allowing students to dedicate themselves to their career goals.

Tuition and financing

Option 1

Up-front Tuition

$20,000*

OR

Option 2

Income Share Agreement

$0**

*Price does not include the monthly stipend. Book a call with an advisor to learn more
**Start making payments only after you complete the program and get hired

Have questions about financing?

Speak to a learning advisor

What Our Graduates Are Saying

I have always been fascinated with data science; it’s almost like doing magic with data. But, getting myself started with projects is the hardest part. What I learned in the class has served as jump-start tools for me and open up doors to discover many other techniques.
Jasmine Wilkerson - KenSci
Jasmine Wilkerson
Data Scientist - KenSci
The instructors really care about the students and don’t hesitate to make sure you understand every concept thoroughly. I would highly recommend it to anyone who is looking for a hands-on, interactive experience with data science.
Derek Tia - Pinterest
Derek Tia
Software Engineer - Pinterest
I would highly recommend DSD as a place to learn or update your data science skills. The material is covered at the right pace, right depth, with great instructors.
Alango J Otieno - RAPP
Alango J Otieno
Vice President - RAPP
With the knowledge I have gained I can now look at business problems with a different lense and apply the techniques I learned in professional and personal projects.
Dana Lime - Apple
Dana Lime
Data Scientist - Apple

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.

 

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