Python is a general-purpose coding language “set of instructions” and can be used for programming, software/web development, mathematical computations. It is a beginner-friendly language as it uses English keywords in its coding syntax and is open-source (free to use and easy to modify). It is increasingly taught in schools and undergraduate programs as it is increasingly a prerequisite in job opportunities. Python can also increase your salary especially in machine learning engineering, entry-level software developer and artificial intelligence engineer.
Employment chances increase within candidates who can code particularly in start-ups which have strict budgets and tight deadlines. They need to build all digital material swiftly to ensure a return on any investment or unfortunately may fail. If you did not follow a Computer Science, Data Science, Maths or Physics degree you may feel slightly overwhelmed right now and not know where to start. But, here’s the good news, Python has a wide supportive user community and accessible to anyone motivated. Below are some tips to get started:
- Start off with browsing the Python Software Foundation website where they host a free Python tutorial tailored to beginners (little or no prior programming experience). Lists of additional resources are also made available for you to navigate based on your coding exposure. Other free beginner’s resources include learnpython.org and python-guide.org.
- Consistency by coding daily: this will ensure the learnt principles are better retained especially if you have never coded before. Favour quality over quantity, code for 20 minutes daily at first if you have issues committing and increase the timings slowly.
Featured Courses
The CPD accredited courses are carefully crafted to help you gain in-depth knowledge on a topic of your interest.
Stem Cell Technology
This course explores the fundamental principles of stem cell biology, including stem cell potency, embryonic, adult and induced pluripotent stem cells (iPSCs). Learners will study cellular reprogramming, directed differentiation, organoid technology, CRISPR genome editing, quality control and GMP manufacturing. The course also examines regulatory requirements, ethical considerations and current clinical applications of stem cell technologies in regenerative medicine.
What you’ll learn
- Understand the different types of stem cells and the hierarchy of potency, from totipotent to multipotent.
- Learn the techniques for generating iPSCs and the epigenetic remodelling involved in cellular induction.
- Gain insight into 3D culture systems and the engineering of brain, gut, and liver organoids.
- Understand how CRISPR is used for genome engineering in stem cells and the correction of disease-specific mutations.
- Learn about quality control markers, genomic stability, and the regulatory frameworks of the FDA, EMA, and MHRA.
Next Generation Sequencing (NGS)
This intermediate-level course provides a thorough overview of the field of Next Generation Sequencing, covering its properties, strengths, major applications, and an overview of a typical sequencing workflow.
What you’ll learn
- Review the genetic concepts required to understand NGS and explore the development of the first generations of DNA sequencing methods.
- Explore and understand the motivation and fundamental basis of NGS, current and emerging sequencing technologies, alongside their advantages and potential biases that may affect their accuracy.
- Learn the typical workflow of NGS, from sample preparation and high-quality library creation to post-sequencing quality control and data management.
- Gain familiarity with the major applications of NGS, which include, among others, transcriptomic analysis by RNA-Seq, genomic variation discovery by Whole Genome Sequencing, and epigenomics.
- Discover what the future of NGS may hold by covering the current changing landscape of NGS and the rapid evolution of data analysis bioinformatics tools.
Molecular Ageing
The study of molecular ageing is a cutting-edge discipline, providing a novel lens through which to understand and treat age-related decline. This course offers a comprehensive introduction to the biological drivers of ageing, from evolutionary theories to the molecular hallmarks that define the biological clock. Participants will explore the mechanisms of DNA repair, the impact of oxidative stress, and emerging therapeutic frontiers, including senolytics and rejuvenation technologies moving from the laboratory into clinical consideration.
What you’ll learn
- Understand the core biology of ageing and the primary evolutionary theories such as antagonistic pleiotropy.
- Learn the molecular “Hallmarks of Ageing,” including cellular senescence, loss of proteostasis, and mitochondrial dysfunction.
- Gain insight into nutrient-sensing pathways (mTOR, AMPK) and how interventions such as caloric restriction influence lifespan.
- Understand the mechanisms of DNA damage and repair, and how they relate to accelerated ageing syndromes such as Werner syndrome.
- Learn about the latest therapeutic frontiers, including senolytics, partial rejuvenation, and reprogramming.
Cancer Biology: Exploring the Molecular and Genetic Aspects
This intermediate-level course explores the molecular and genetic basis of cancer, its evolution, and the principles of cancer immunology.
What you’ll learn
- Learn about the molecular and genetic basis of cancer.
- Understand the immunology of cancer and the concept of immunotherapy.
- Learn about the clinical practice and translational research in oncology.
- Explore the role of cancer stem cells.
- Become aware of the career scope in the field of cancer biology.
Neuroscience
Neuroscience is one of the most advanced and rapidly growing scientific fields. The beginning of the 21st century has seen major advances in techniques for studying and understanding how the brain functions. Although much remains to be discovered about the brain's immense complexity, neuroscience is now a well-established scientific discipline. This course explores the subject from basic brain cell biology to modern techniques for studying the brain, as well as disorders that affect it.
What you’ll learn
- What neuroscience is and the basic cell biology of the brain.
- The electrical properties of neurons and how they communicate.
- Key methods for studying the brain, from cellular to whole-brain approaches.
- The structure and function of both evolutionarily basic and complex brain regions.
- Common brain disorders in the 21st century and current approaches to treatment.
CRISPR: Revolutionising Genome Editing
This advanced-level course is designed to develop an understanding of complex concepts related to genomics, particularly CRISPR/Cas technology and its applications in drug discovery, therapeutics, and beyond.
What you’ll learn
- Learn complex and advanced concepts related to genomics and CRISPR/Cas technology.
- Explore the wide-ranging applications of CRISPR/Cas, from healthcare to agriculture.
- Understand the ethical considerations and lesser-known aspects of CRISPR/Cas.
- Learn how to design your own CRISPR experiment.
- Discover career opportunities in genome editing and related fields.
3. Take notes: scientific research continues to support that taking notes through the traditional paper and pen methods is best for long-term retention. It will also give you something physical to look back to if you are searching for specific functions, instructions or steps.
4. Schedule study breaks: as with any intense learning, your brain needs time to absorb all the information and retain in. Take some breaks especially as a tiny error in code can mean that it will not run. Such errors can be minimised with experience and a fresh mind!
5. Work collaboratively: if you know of any classmates or friends who also wish to learn Python don’t hesitate to reach out to them! By working together, you will stimulate each other but also benefit from any tips/tricks the other may have!
