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Data Science 1: Data Wrangling and Python

This introductory-level course provides a solid foundation with which to build and apply data science skills via the python programming language.

Starts 12th August 2022

About This Course

This course provides a gentle introduction to the core ideas behind Data Science. You will be exposed to some of the most popular Python libraries while we explore the fundamentals of the Python programming language for Data Science, learn how to wrangle with unclean data found in the real world, and understand how features can be modified to help us achieve our goals. First, we setup our python environment by following a step-by-step guide on the most popular platforms. The programming in this course will be done inside Jupyter notebooks. Then, we explore Pandas dataframes and efficient ways to use NumPy to solve common problems. Finally, after exploring feature engineering techniques, we learn how to build basic models and explore the various metrics that can be used to evaluate the usefulness of such models.

Who Is This Course For

This course is for anyone interested in data science. The only pre-requisite is a basic understanding of programming. The knowledge gained in this course can serve as the first step of a deep dive into any of the concepts. This class certification will be advantageous to anyone seeking an entry-level data science job or looking to advance their education in the fields of data science, machine learning, and/or artificial intelligence.

What you'll learn

  • Fundamental data science concepts
  • Exposure to the most popular python libraries used to tackle data science problems
  • How to work with unclean data
  • How to engineer new features to achieve your goals
  • How to manipulate data and build basic models

Meet Your Instructor

Dr. Sterling Ramroach

Sterling has a PhD in Machine Learning from The University of the West Indies. He moved to London after his PhD to pursue a Computer Vision Researcher position in industry. His PhD research focused on accelerating machine learning techniques with parallel processing and applying it to bioinformatics. His work is published in peer-reviewed scientific journals including Molecular Omics, Expert Systems with Application, and BMJ Innovations.

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The courses together with the seminars offered are based on a subscription package. You can choose a six-months and annual subscription. A six-months subscription costs £210/€260/$280, while an annual subscription costs £399/€480/$530. With a six-months or annual subscription, you get unlimited access to all the courses and on-demand seminars offered by CBEHx for the subscription duration. Upon unsubscribing, you will no longer have access to the contents. There is no limit to how many certificates you can earn during your subscription period. To subscribe, please visit the pricing page on

With the subscription, you get unlimited access to all the on-demand seminars and courses offered by CBEHx, provided your subscription remains active and CBEHx has not discontinued the same program. Upon unsubscribing, you will no longer have access to the courses and on-demand seminars content.

The course completion certificate is CPD accredited. For more informations please visit

Once you have subscribed, visit the seminars catalogue on Select the seminar that you want to view and enjoy the learning experience. You can watch each seminar as many times as you want. We keep on adding new seminars, so keep checking the catalogue for new seminar releases!