Motor Vehicle Company
Reviews:
Classes:
Taught live online
Digital certificate:
Awarded when eligible
Level of knowledge:
Intermediate
Bootcamp course + internship.
Gain real-world data science experience with projects designed by industry experts. Build your portfolio and advance your data science career.
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
Early application deadline:
November 2 (with bonus)
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.
Take a live course taught online by an expert teacher and TAs.
Sets you up to create value during your internship.
For any major. Some experience required (see above, or speak to your iX Career Advisor.)
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.
iX is designed to be your first step in a successful career.
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
Data Scientist
DataProphet
May 2016 - Sep 2016 · 5 mos
Cape Town, South Africa
Founder
Stealth Startup
Jan 2023 - Present
Remote
iXperience
Data Science
2019 - 2019
Tel Aviv, Israel
Data Science Analyst
BD
Jun 2019 - Jul 2019 · 2 mos
Caesarea, Israel
Investment Banking Analyst
Morgan Stanley
Jun 2021 - Present
New York, United States
iXperience
Data Science
2019 - 2019
Lisbon Area, Portugal
Data Science Intern
Dixtior
Jun 2019 - Jul 2019 · 2 mos
Lisbon Area, Portugal
Senior Associate
PwC
Jan 2023 - Present
New York, United States
iXperience
Data Science
2015 - 2015
Cape Town, South Africa
Software Engineer Intern
Urbian
Jun 2015 - Aug 2015 · 3 mos
Cape Town, South Africa
Data Engineer
Airbnb · Full-time
Apr 2019 - Present
San Francisco, California, United States
Michael Z.
Computer Science M.S. Candidate
Thank you to the team at iXperience and my section's teaching staff Miguel Lacerda, Tlhologello Biyana, and Mbithe Nzomo for the incredible opportunity to learn, grow, and develop new skills in the field of data science.
And another massive thank you to Arshveer Singh Gahir and AMNESIA Media for providing a unique, dynamic, and hands-on internship experience at a startup on the cutting edge of MarTech. You guys were able to strike a perfect balance between being nurturing and pushing our teams to improve, which created a fantastic work environment...
Read full post on LinkedIn
Nikita Maganti
Mathematics at UT Dallas
I am thrilled to share that I have just completed the first week of my internship at Axians Portugal on their data science team! I’m excited to continue working with my teammates in Lisbon while gaining experience in natural language processing and machine learning.Many thanks to Alexandre Almeida at Axians for the guidance and the iXperience team for providing the support and knowledge necessary for me to be successful in this endeavor.
#axians #internship #datascience #ml #nlp
Read full post on LinkedIn
Savion Johnson
Physics Student at Vanderbilt University
I am very excited to announce today that today, I began my internship at AMNESIA Media as a part of their Data Science Team!
I'd like to thank the team at iXperience and Miguel Lacerda for their hard work in preparing me for this incredible opportunity. I can't wait to get started!!
#intership #machinelearning #datascience
Read full post on LinkedIn
Session 1:
May 19 - June 29
Session 2:
July 7 - August 17
Live online course with 1 expert instructor and 2 TAs.
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 live-taught online bootcamp with a teaching team of vetted industry experts.
Internship. We match you with a global company to do high-impact work, in an in-city internship with an international company where you’ll apply your classroom learnings and build a portfolio all with the ongoing support of your teacher and TAs. You will be able to immerse yourself in the workings of a local company and become part of the team, based on their real-world working style
Career workshops. You will have six in-person professional development workshops and community events throughout the 6 weeks
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 iXAlumni Portal, with networking tools, free courses, paid opportunities and more.
Accommodation. Our accommodation in Cape Town and Lisbon are comfy, well-equipped and perfect for your needs.
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. You can view the sample schedules on our Cape Town or Lisbon city page for more info.
Three - five weekly community and social events. You can view the sample schedules on our Cape Town or Lisbon city page for more info. *Two events per week are covered by iX. Others = cost to student
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 to 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: $4,995 + City experience: $4,975
Financial aid available*
Tuition: $4,995 + City experience: $7,755
Financial aid available*