Data science and AI practicum internship program
Data science, analytics and generative AI training with a 6-month internship
Trusted by leading companies
What's included
Training & support
LLM bootcamp
- Instructor-led training
- Personal coding sandboxes
- No subscriptions needed
Data science bootcamp
- Instructor-led training
- Practical data science
- Hassle-free programming
Career support
- Dedicated mentoring sessions
- Build your data science portfolio
- Practice interviewing skills
Free trainings and tutorials
- Free Python for data science training
- Post-bootcamp tutorials
- Free tutorials and blogs
Curriculum
10 modules covering the full spectrum of theory and practice
Analytics translator
Key topics
- Bridge between actors in data science organizations
- Suits product manager aspirants
- Customer analysis via heatmaps
- Implement and iterate on data products
Consumer understanding
Key topics
- Actionable insights from multiple customer touchpoints
- HubSpot, Hotjar, Google Analytics
- Propensity modeling and churn modeling
- Suits web analytics and market research careers
Marketing analytics
Key topics
- Data-driven marketing strategies
- CRM, event tracking, campaign management
- Suits marketing data scientist roles
- Attribution modeling and customer lifetime value
Sales analytics
Key topics
- Trends in sales data from emails, calls, and meeting notes
- Outlook 365, HubSpot
- Topic modeling and text analysis
- Suits sales strategy and analytics roles
Web analytics
Key topics
- Traffic data, user behavior, conversion rate optimization
- Google Analytics, HubSpot, Hotjar
- Suits web analytics careers
- Funnel analysis and A/B testing
Social media analytics
Key topics
- API data collection from social networks
- Consolidate and analyze semi-structured data
- Sentiment analysis and engagement metrics
- Suits marketing analytics professionals
Customer feedback analytics
Key topics
- Surveys, reviews, and customer feedback analysis
- Natural language processing (NLP)
- Build visualizations and satisfaction dashboards
- Suits customer success and insights roles
Email campaigns analytics
Key topics
- Measure campaign success: open rates, click rates
- HubSpot, Google Analytics, Mandrill
- A/B testing and segmentation strategies
- Suits marketing data scientist roles
Advertising campaigns analytics
Key topics
- Google Ads, Facebook, LinkedIn, Instagram data
- Optimize acquisition costs and build predictive models
- Multi-touch attribution
- Suits marketing analytics and growth roles
ETL and log mining
Key topics
- Build data pipelines and extract event logs
- Create real-time dashboards
- Suits data analytics engineer roles
- Docker, Spark, Apache Hadoop
The process
How it works
Application form
Submit an application form expressing your interest in the Practicum program.
Interview phase
Succeed in a competitive selection interview to secure your spot.
Internship period
Begin your 6-month, full-time internship embedded with the Data Science Dojo team.
In-class learning
Concurrently complete the LLM Bootcamp and Data Science Bootcamp curriculum.
Career support
Receive interview preparation, mentoring, and portfolio development guidance.
Get hired
Enter the job market fully prepared with real-world experience and industry credentials.
Technologies
Tech stack
What our alumni say
"I’ve taken a whole bunch of courses actually in data science. I took a bunch online and I took a few in person, but none of them really gave me the confidence that I needed to sort of tackle a huge data project on my own from beginning to end.This is a great program which sort of introduces you to all the different tools and techniques that are out there and also teaches you some of the best practices because that’s pretty important in a real-life situation. That is something that I don’t think a lot of theoretical classes can offer.I really liked the instructors the energy that both Phuc and Raja brought to the classroom was really important, especially for a course like data science, which can be kind of dry when other people teach it. So, I felt like their method of instruction was extremely engaging. It was a lot of fun.There was a lot of laughter in class actually and we had a great time getting to know each other in the classroom. The other students that I met came from very different backgrounds so it was very interesting to get some insight into what kind of problems they’re working on. So, I just found that we learned just as much from the discussion that we’re happening then from the actual slides and the material.You get to learn from these experts who have done machine learning and data science and their day jobs and they can tell you exactly what it’s like in the real world. So, I think that’s pretty useful if that’s the kind of experience you’re looking for - Amina Tariq attended Data Science and Data Engineering Bootcamp."
Frequently asked questions
- Can I work on multiple tracks?
- We encourage participants to focus on a single track initially. Eventually participants may work on multiple tracks, but starting with one is strongly recommended.
- Is this program full-time?
- Yes, this is a full-time commitment of approximately 40 hours per week.
- Is the internship remote or in-person?
- The program is primarily remote. An in-person office option is available for those in the Redmond, WA area.
- When does the program start?
- Enrollment is rolling with flexible start dates — there are no fixed cohort schedules.
- Is there a part-time option?
- No. The Practicum is a full-time program only. A part-time format is not currently offered.
- Are there financing options?
- Yes. Options include upfront payment, loan programs, and income share agreements (ISA) for eligible U.S. citizens with a valid SSN.
Get in touch
Interested in the practicum program? Fill out the form and our team will get back to you.