QSAR Lab’s Post

🔵 Dive into Chemical Data Analysis with Python - Join Our Online Training Course! 🚀 Supervised & Unsupervised Methods in Computational Chemistry – Hands-on Learning Experience 🗓️ Date: 21-22 November 2024 Ready to enhance your skills in chemical data analysis? 🎯 This course is packed with practical, code-along sessions led by industry experts. Perfect for anyone looking to break into the world of computational chemistry. What you’ll gain: Data processing and pre-processing techniques Unsupervised learning in chemical data analysis Supervised learning methods & QSAR/QSPR methodologies Hands-on model assessment exercises Whether you're an R&D specialist, bioinformatician, data analyst, or student eager to explore computational chemistry, this training will equip you with valuable, actionable knowledge. All experience levels are welcome! 👉 Sign up now – limited spots available! 📅 Course Details: Date: 21-22/11/2024 Hours: 8:00 – 16:00 Format: Online (via Microsoft Teams) Language: English Price: €425 (net/person) Learn more and check the full program on our website: https://lnkd.in/dkQ348jD Register here: https://lnkd.in/dzS-J7qY #Python #Training #ChemicalDataAnalysis #ComputationalChemistry #DataScience #Bioinformatics #MachineLearning #QSAR #Online #DataAnalysis #UnsupervisedLearning #SupervisedLearning

With PAT and QbD the pharmaceutical product and analytical method development is seeing a paradigm shift. At this interjection understanding of stastics and knowledge about the Chemometrics /data analysis tools will play a critical role. Thanks Eric Cai for sharing this. #Chemometrics #dataanalytics #qbd

❗️FINAL DAYS TO REGISTER❗️   🔥 Don't put it off until later! These are the last days to register for our specialized training ▶︎ Chemical data analysis in Python - Supervised and unsupervised methods in computational chemistry.   🎯 Gain a unique experience and learn from our experts. If you are an R&D specialist, bioinformatician, data analyst or student interested in computational chemistry - this Python training is for you!   ▶︎ Data processing and pre-processing ▶︎ Chemical data analysis and unsupervised learning ▶︎ Supervised methods and QSAR/QSPR methodology ▶︎ Model assessment and practical exercises   The training is intended for self-taught people and specialists! 👉Sign up today! The number of places is limited!   Check the detailed training program and prices on our website. https://lnkd.in/dkQ348jD Registration form: ⬇️ https://lnkd.in/dQtmZfCY #training #courses #online #digitalchemistry #QSAR #Python #dataAnalysis #data  #insilico #course

Excited to share that I’ve completed the "Programming in Python" course on Coursera! 💻 As an aspiring biotechnologist, I’m always looking to bridge the gap between biology and technology. Python’s versatility allows for exciting applications in Bioinformatics and data analysis, Automating lab processes, Modeling biological systems. This course equipped me with skills in data structures, file handling, and object-oriented programming, which I’m eager to apply in the field of biotechnology!!! Looking forward to leveraging these new tools in my future projects! #Biotechnology #Python #Programming #Bioinformatics #TechInScience

https://lnkd.in/e3kdFTv7 This a library called calphad which is meant to be used for reseach purpose by students like who are pursuing PHD. It is a library which can calculate entropy of different phases which can be used to plot phase diagrams to do research on materials development. This library completely works on thermodinamical calculation. It has features like extracting data from thermodinamical database, Identifing possible phases based on element content and composition in metal and temperature. It is user friendly and can also provide equations of each phase at certain temperature which can be helpful for PHd students for research purpose. Please go through my github repository for detailed information and tutorial. ONly use for research purpose.

Python for Biologists - Register here - https://lnkd.in/daXyJRvc Check live reviews here - https://lnkd.in/de8_bKQa Biology today is fast transforming into data-science - curtsey the high-throughput technologies. Manual analysis of this data is neither feasible nor possible anymore. With the data deluge in Life Science Research, programming is fast becoming a desirable and essential skill, even for wet lab researchers, for data wrangling, analysis, and data visualization. Our goal is to encourage beginners and biologists to learn to code. Coding is simple, intuitive, easy to learn and truly a universal skill today with vast applications in data analysis, data visualization, automation, scaleup and precession. Unleash the power of coding - write your first few of the many codes you may potentially write ... Rediscover yourself 

As part of my study in SCIE2001, Professional Employment Skills, I am required to submit three relevant posts as evidence in our final assignment. This is the first of three: My studies at UON have been an excellent opportunity to learn practical, hands-on skills required in a scientific research career, especially through laboratory and project work. A recent project I completed as a physics major was a group experiment revolving around the collection and analysis of pressure data to find the adiabatic exponent for air; this required the utilisation of specified experimental equipment interfaced with PASCO data collection software, as well as a comprehensive understanding of the python coding language. Due to unforeseen circumstances, I was required to complete this assignment alone during a catch-up lab. During the allocated lab time, I had to adapt to these new working conditions, managing multiple aspects of the experiment simultaneously, including the importing of data directly from the equipment to connected PASCO software, as well as exporting the data in a format compatible with Python. Having only used python in a limited capacity previously, this proved a unique learning experience, adapting to and learning specific coding techniques during the lab period. This included importing data in a readable format, ensuring the program can correctly define each imported variable, and producing graphs of each dataset to then be compared against each other; following this, equations were then adapted to python code, with general data inputs to be able to analyse various graphs. This challenging experience ultimately resulted in a greater understanding of the technical skills required to utilise python and experimental software within a research-based environment, with all set tasks completed and submitted within set deadlines. Learning these skills earned me the equivalent of a distinction for my presentation and analysis of results.

I collated a list of free online workshops in statistics, research, and coding for anyone interested! I highly recommend taking advantage of these. You might even see me in a few! Topics you can learn about... - Introducing to coding in Python - How to use social media to share your research - Data visualization - Statistics! (how to publish stats, linear mixed models, machine learning, etc) - How to increase your productivity. Surprisingly, these all took a fair bit of time to find. It's my goal to spread them to whoever needs them! Please share! https://lnkd.in/gkP6M_4m

Python for Biologists - Register here - https://lnkd.in/daXyJRvc Check live reviews here - https://lnkd.in/de8_bKQa Biology today is fast transforming into data-science - curtsey the high-throughput technologies. Manual analysis of this data is neither feasible nor possible anymore. With the data deluge in Life Science Research, programming is fast becoming a desirable and essential skill, even for wet lab researchers, for data wrangling, analysis, and data visualization. Our goal is to encourage beginners and biologists to learn to code. Coding is simple, intuitive, easy to learn and truly a universal skill today with vast applications in data analysis, data visualization, automation, scaleup and precession. Unleash the power of coding - write your first few of the many codes you may potentially write ... Rediscover yourself 

#Final_reminder #Python_for_Biologists - #upskill #upgarde Direct Registration link - https://lnkd.in/d4fD4A-s Check our fabulous reviews - https://lnkd.in/d6a3_Z4H Biology today is fast transforming into data-science - curtsey the high-throughput technologies. Manual analysis of this data is neither feasible nor possible anymore. With the data deluge in Life Science Research, programming is fast becoming a desirable and essential skill, even for wet lab researchers, for data wrangling, analysis, and data visualization. Coding is simple, intuitive, easy to learn and truly a universal skill today with vast applications in data analysis, data visualization, automation, scaleup and precession. Unleash the power of coding - write your first few of the many codes you may potentially write ... with me! Rediscover yourself ! #python #R #NGS #biology #biotechnology #bioinformatics #biology