Bootcamp course + internship.
Gain real-world data science experience with projects designed by industry experts. Build your portfolio and advance your data science career.
Session 1:
Lisbon
Closed
Cape Town
Closed
Session 2:
Lisbon
Closed
Cape Town
Closed
Reviews:
Classes:
Taught live online
Digital certificate:
Awarded when eligible
Level of knowledge:
Intermediate
2024 Session 1:
May 19 - June 29
2024 Session 2:
July 7 - August 17
2024 program:
Applications are closed
You’ll master the basic skills needed to become a successful Data Scientist. You’ll work on projects and assignments designed by industry experts, and learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions.
Coding in Python
The industry gold standard for writing computer programs to perform tasks, automate processes and solve problems efficiently.
You’ll spend the first week of the course focusing on learning Python, including the process of importing data into Python, understanding data structures, manipulating data, statistics, applying aggregations and transformations, data plotting and visualization, and managing anomalies and missing data.
The Data Science Pipeline
Learn to take a structured approach to solving data problems, and understand the stages of data acquisition, preparation, exploration, modeling, validation, deployment and monitoring.
These broadly-applicable principles will be covered throughout your course. You’ll learn about different data sources and ethical considerations in the industry at the beginning of the course, along with deeper dives into understanding the relevance of data sets, appropriate management practices, identifying appropriate visualization strategies and post-deployment checks on machine learning modules.
Data Visualization
The process of transforming complex data into a visual representation, such as charts or graphs, to enhance understanding, communication, and decision making.
A key aspect of the data science toolkit is the ability to identify the most appropriate way to visualize data for the sake of telling its most compelling story. The first week will include classes that dive into the principles of identifying appropriate visualizations, graphs and other infographic methods, as well as strategies for framing data sets’ narratives that are most relevant for differing data types. You’ll learn to use the Seaborn module to create visualizations in Python.
Supervised Machine Learning
Build algorithms that are trained using labeled data, with a specific target or output variable, to categorize new, unseen data based on past observations.
The second week of the course focuses on machine learning, where you will develop a sound conceptual understanding of regression techniques broadly, and linear regression as a specific example. In addition, you will be able to implement logistic regression in Python with scikit-learn. This section will form the foundation for learning more advanced principles later in the course.
Unsupervised Machine Learning
Involves training algorithms on data without explicit labels to identify patterns and relationships in the data and insights.
In the second week of the course, you will learn dimension reduction techniques broadly, and principal components analysis (PCA) as a specific example. You will also learn clustering techniques, K-means and hierarchical clustering as part of the unsupervised learning toolkit. This section will form the foundation for learning more advanced principles later in the course.
Advanced Data Science Principles
Once you’re able to use the tools of data science, explore more complex methods of data analysis, including neural networks, time series models, support vector machines and more.
In weeks 3-6, while doing your internship, you’ll continue to learn more advanced techniques in the data science pipeline. Learn to create decision trees and tree ensembles, as well as how to identify when to use them. Understand the mathematics behind support vector machines, how they are trained, how to choose their hyper-parameters and when to use them. Do an introduction to Natural Language Processing, where text inputs are manipulated to develop predictive models. Learn about time series models and neural networks, which lead to the ability to build regression models in Python.
Prerequisite knowledge.
This course requires prior knowledge in programming, statistics, and mathematics.
Familiarity with linear algebra, calculus, and probability is important for understanding the algorithms used in AI and for developing models in data science.
If you have not covered statistics or foundational computer science for at least a year at university level, speak to your iX Career Advisor for additional resources to get you up to speed.
iX Summer combines intensive learning with hands-on application. This is the perfect opportunity to gain valuable, industry-relevant skills and internship experience, along with travel to one of our international campuses.
First 2 weeks
The first two weeks of the program are purely class contact time.
Two hours of live class per day. Live-taught classes are capped at 30 students.
Sets each student up for success in their internship.
For any major. No experience required.
Next 4 weeks
The next four weeks of the program are an internship-class blend.
Guaranteed internship placement with one of our global partner companies.
Continuous support from your manager and teaching team.
More class sessions throughout your internship to cover more advanced material.
A technical skills bootcamp.
Learn from experienced industry experts.
Live-taught classes are capped at 30 students.
Get continuous support from your TAs.
Have in-person workshops and group work with classmates.
A curated global internship.
Choose from a range of scoped projects with one of our partner companies.
Work directly with your manager to get high-impact experience.
Collaborate with iX classmates in a small internship group.
Work hours, meetings and format are determined by your host company.
Continuous support.
A dedicated TA will be assigned to your internship group.
Continue with classes during your internship.
TAs are bound to guaranteed response times to your queries.
iX staff on the ground are available 24/7.
Travel abroad experience.
Learn abroad in either Cape Town or Lisbon.
Your accommodation and co-working space are included.
Major excursions to landmarks are included.
Additional activities are offered throughout the program.
At iX, as a student, you have direct access to industry experts that teach, guide, and mentor you through your bootcamp and internship experience abroad. Here are some previous Teaching Team members in the course.
"I'm Andrew, a Data Scientist with experience in both academic and commercial settings. As an experimental physicist, I honed my skills in research, data analysis, scientific computing, writing, and presentation. These skills provide a solid foundation for branching out into other fields as a Data Scientist."
"I'm Enock, a Data Scientist at The AI Institute with locations in France and the USA. My focus is on finding and creating innovative analytical methods to process data. In addition, I have experience in developing educational programs for individuals at both the university and professional levels, covering topics in data science & machine learning."
iX is designed to be your first step in a successful career.
"iX is a world of opportunity. I couldn't imagine there is a better summer program out there in terms of how much you will learn and what there is to do around you. I will be remembering my days in Cape Town for a long time to come."
iXperience
Data Science
2015 - 2015
Cape Town, South Africa
iX Internship
Urbian
2015 - 2015
Cape Town, South Africa
Data Engineer
Airbnb
2019 - Present
San Francisco, California, USA
"All of my classmates at iX chose to do Data Science because we know that we live in an increasingly data-driven world. Learning the data science toolkit has meant that I can say I’m a couple of steps further along on my path. If not, I’ve gained a family of amazing iX people to help me find meaning."
iXperience
Data Science
2016 - 2016
Cape Town, South Africa
iX Internship
DataProphet
2016 - 2016
Cape Town, South Africa
Founder
Stealth Startup
2023 - Present
Remote
"It's amazing how you can come in knowing almost nothing about a certain skill, and walk out 6 weeks later knowing so much more. I had a great experience, not only academically but also met amazing people - almost exactly what I expected and more."
iXperience
Data Science
2019 - 2019
Tel Aviv, Israel
iX Internship
BD
2019 - 2019
Caesarea, Israel
Investment Banker
Morgan Stanley
2021 - Present
New York, USA
"iXperience is an amazing opportunity to meet new people, enjoy life in a new area of the world, learn and develop new skills, and try your hand in an industry you didn't think you would have the chance to work in."
iXperience
Data Science
2019 - 2019
Lisbon, Portugal
iX Internship
Dixtior
2019 -2019
Lisbon, Portugal
Senior Associate
PwC
2023 - Present
New York, USA
Session 1:
May 19 - June 29
Session 2:
July 7 - August 17
In-person bootcamp with vetted industry experts as teaching teams.
Hybrid internship with 2 in-person meetings a week.
Internship support from teaching teams and iX Staff.
Accommodation and excursions.
Bootcamp class. A 36-hour in-person bootcamp with vetted industry experts as teaching teams.
Internship. We match you with a global company for an in-city internship opportunity. You'll be able to apply what you've learned in the classroom and develop a portfolio, all while receiving ongoing support from your experienced instructors and TAs. Immerse yourself in the operations of a local company, becoming part of the team and gaining valuable, real-world experience.
Career workshops. You will have in-person professional development workshops and community events throughout the six weeks of the program. These can include workshops on adapting to your host city’s working style, the tools of working, how to build your resume and LinkedIn, and how to present
with impact to a live client audience.
Certification. You will receive a certification that you can add to your LinkedIn and resume. *You have to attend 90% of your classes
Lifelong value. iX is with you for life. After the program, get access to the iX Alumni Portal, with networking tools, free courses, paid opportunities and more.
Accommodation. Our accommodation in Cape Town is comfortable, well-equipped and perfect for your needs. Note that each city’s accommodation setup is different, and can change from year to year.
Co-working space. You will have access to a centrally-located co-working space for you and your classmates to work on projects together.
Four official excursions. Four major experiences are included in your program fees - and vary from city to city. You can view the sample schedule on our website for more info. Cape Town
Three - five weekly community and social events. From group dinners to kayaking to paintball, you’ll have lots of planned optional extras to choose from (some are at your own cost).
24/7 health and safety support from iX staff. You can learn more about our health and safety protocols on our website.
Dedicated iX Program Management team. A dedicated iX Program Management team on the ground will accompany you on excursions, design community events and provide general support.
Airport pickup and dropoff. iX provides transport throughout the Sunday of your arrival weekend and the Saturday of your departure weekend.
Tuition: $5,995 + City experience: $3,975
Financial aid available*
