Unlock Your Data Science Career with iXperience's Bootcamp

6 weeks. Secured internship. Global impact.

We know that students need more than just academic knowledge. You require practical skills and real-world business experience that builds a stand-out resume. This is the perfect opportunity for you to gain valuable industry-relevant skills and internship experience in Data Science while traveling to Cape Town, South Africa, one of the most beautiful destinations in the world.

Weeks 1 - 2:
‍Bootcamp.

First two weeks focus fully on class time.

Deep dive into course material without distractions.

Build a strong foundation before hands-on work begins.

iXperience Student working on a presentation during an internship

Meet your head teacher.

Gorden Jemwa is a data science and machine learning expert with over 15 years of experience applying advanced analytics, AI, and predictive modeling in fintech and tech environments. He currently works at impact.com, specializing in data science, machine learning, and AI to enhance performance marketing, optimization, and business intelligence.

Gorden Jemwa, PhD

Full Stack Optimist

Data Scientist

TYME

2013 - 2015

Hybrid

Head of Data

Luno

2016 - 2024

Cape Town, South Africa

Multiple Roles

impact.com

2024 - Present

Cape Town, South Africa

What you will learn.

In our Data Science program, you'll gain practical experience with industry-led projects and master essential data science skills. You'll learn to code in Python, navigate the data science pipeline, visualize data effectively, and apply both supervised and unsupervised machine learning techniques. By delving into advanced concepts like neural networks and time series models, you'll be well-prepared to tackle complex data challenges and advance your career in data science.

Note: These learning outcomes are subject to change.*

Implement machine learning models.

Supervised vs. Unsupervised Learning: Distinguish between different machine learning approaches.
Regression and Classification: Build models using algorithms like linear regression and logistic regression.
Clustering and PCA: Apply clustering techniques and principal component analysis for data reduction.

Advance to complex algorithms.

Decision Trees and Ensembles: Understand and implement decision trees, random forests, and gradient boosting.
Support Vector Machines: Utilize SVMs for complex classification tasks.
Neural Networks: Get introduced to neural networks using Keras for deep learning applications.

Specialize in niche data science fields.

Natural Language Processing (NLP): Process and analyze textual data for insights.
Time Series Analysis: Work with time-dependent data and forecasting models.
Ethical Data Use: Understand the importance of ethics in data science and responsible data handling.

Communicate insights effectively.

Data Storytelling: Craft narratives that make your data insights accessible to stakeholders.
Presentation Skills: Learn to present complex data in a clear and compelling manner.
Tailored Communication: Adapt your message for technical and non-technical audiences.

Understand the data science profession.

Role Clarity: Learn what data scientists do and the impact they have across industries.
Essential Skills: Identify and develop the key skills required for a successful data science career.

Master data handling with Python.

Data Importation: Import data from various sources using Pandas.
Data Structures: Understand and manipulate different data types in Python.
Data Cleaning: Handle missing values, anomalies, and prepare data for analysis.

Perform exploratory data analysis (EDA).

Statistical Summaries: Compute and interpret basic summary statistics.
Data Subsetting: Select and manipulate subsets of data for targeted analysis.
Pattern Recognition: Identify trends, outliers, and insights within datasets.

Excel in data visualization.

Visualization Principles: Learn what makes an effective data visualization.
Plot Selection: Choose the right plot types for your data.
Visualization Tools: Create compelling visuals using Seaborn and Plotly in Python.

Student success stories.

Watch firsthand how iXperience has transformed the lives and careers of students from around the globe. These inspiring stories showcase the power of real-world experience and practical learning.

Our past internship partners.

01_

Susdee.

Susdee helps people find purpose-driven careers by enhancing corporate transparency in sustainability. Their platform offers job resources and sustainability assessments, using NLP algorithms to generate SI scores across five categories. Companies like Adobe actively use Susdee's values-based metrics.