About the Course
Take your data science aspirations to new heights with our 6-week online machine learning course. From the foundational concepts of supervised and unsupervised learning to the intricacies of neural networks, this course offers an all-encompassing look at modern machine learning methodologies.
Prerequisites
A basic proficiency in R or Python programming is essential to fully benefit from this workshop. Haven't taken an R course yet? Consider our R Programming for Data Science course as a preparatory step.
Course Schedule
Our sessions are conveniently scheduled every Saturday, from 4 -6 pm GMT (11 am-1 pm ET) and every Thursday, from 7-9 pm GMT (2-4 pm ET).
Embark on this transformative learning experience starting March 29, 2024.
Course Highlights:
🖥️ Interactive and hands-on sessions: Immerse yourself in practical machine learning scenarios.
🌍 Real-world applications: Solve genuine problems across domains like health, business, finance, and marketing.
🤝 Weekly personalized assistance: Ensure all your machine learning queries are addressed.
🏆 Earn a completion certificate: A testament to your advanced skills in machine learning.
What you will Learn
Machine Learning Foundations: Grasp the essence, tools, and diverse applications of machine learning.
Supervised Learning Mastery: Delve deep into Linear Regression, Logistic Regression, Decision Trees, Random Forests etc.
Unsupervised Learning Essentials: Master clustering and dimensionality reduction techniques, including PCA.
Model Evaluation and Tuning: Get acquainted with best practices for model selection, validation, and optimization.
Diverse Applications: Tackle challenges across a spectrum of sectors, utilizing data-driven solutions.
Who Should Attend?
Graduates of our foundational "R Programming for Data Science" course.
Data Analysis professionals looking to level up.
Business Analysts & Strategists aiming for data-driven decision-making.
Professionals from health, finance, and marketing keen on leveraging machine learning.
Aspiring career shifters into the data realm.
Curious minds intrigued by Data Visualization and Advanced Analysis.
Your Instructor
Osei Tweneboah, Ph.D.
Osei leads the way as the CEO and Principal Data Scientist at Mogital Analytics. Beyond this, he imparts his knowledge as an Assistant Professor of Data Science at Ramapo College of New Jersey, USA. His expertise encompasses Machine Learning, Stochastic Analysis, and Scientific Computing, with tangible applications in diverse sectors like Finance, Public Healthcare, and Geophysics.
With a commendable collection of over 28 peer-reviewed articles across Data Science, Computational Science, and Applied Mathematics, Osei's scholarly prowess is undeniable. At Ramapo College, he instructs courses such as Intro to Data Science, Applied Statistics, Data Analytics in Python, and Machine Learning, catering to both undergraduate and graduate students.
Osei's educational journey began with a Bachelor of Science in Mathematics from Kwame Nkrumah University of Science and Technology, Ghana. He further honed his skills at the University of Texas at El Paso, USA, where he was awarded a Ph.D. in Computational Science, an M.S. in Mathematics, and a Graduate Certificate in Big Data Analytics.
