Pricing is per delegate, giving you huge savings over the cost of individual courses.
4.6 out of 5 rating Last updated 13/12/2024 English
Interested in available dates? Would like to book a private session of this course for your company? Or for any other queries please simply fill out the form below.
5 Days
30 CPD hours
This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn how to:
How to work with Python in a Data Science Context
How to use NumPy, Pandas, and MatPlotLib
How to create and process images with PIL
How to visualize with Seaborn
Key features of SciPy and Scikit Learn
Next Level Python for Data Science and /or Machine Learning covers the essentials of using Python as a tool for data scientists to perform exploratory data analysis, complex visualizations, and large-scale distributed processing on Big Data . In this course we cover essential mathematical and statistics libraries such as NumPy, Pandas, SciPy, SciKit-Learn, TensorFlow, as well as visualization tools like matplotlib, PIL, and Seaborn. This course is intermediate level as it assumes that attendees have solid data analytics and data science background and have basic Python knowledge. Topics are introductory in nature, but are covered in-depth, geared for experienced students
Nexus Humans Intermediate Python for Data Science & Machine Learning | Explore NumPy, Pandas, SciKit Learn, SciPy, TensorFlow & More (TTPS4876) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.
This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Intermediate Python for Data Science & Machine Learning | Explore NumPy, Pandas, SciKit Learn, SciPy, TensorFlow & More (TTPS4876) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.The 5 day. Intermediate Python for Data Science & Machine Learning | Explore NumPy, Pandas, SciKit Learn, SciPy, TensorFlow & More (TTPS4876) training course give you up to 30 CPD hours/structured learning hours. If you need a letter or certificate in a particular format for your association, organisation or professional body please just ask.
This course is geared for experienced data analysts, developers, engineers or anyone tasked with utilizing Python for data analytics or eventual machine learning tasks
Yes we provide corporate training, dedicated training and closed classes for the Intermediate Python for Data Science & Machine Learning | Explore NumPy, Pandas, SciKit Learn, SciPy, TensorFlow & More (TTPS4876). This can take place anywhere in Ireland including, Dublin, Cork, Galway, Northern Ireland or live online allowing you to have your teams from across Ireland or further afield to attend a single training event saving travel and delivery expenses.
The Intermediate Python for Data Science & Machine Learning | Explore NumPy, Pandas, SciKit Learn, SciPy, TensorFlow & More (TTPS4876) training takes place over 5 day(s), with each day lasting approximately 8 hours including small and lunch breaks to ensure that the delegates get the most out of the day.
Yes, the discount code PENPAL5 is currently available for the Intermediate Python for Data Science & Machine Learning | Explore NumPy, Pandas, SciKit Learn, SciPy, TensorFlow & More (TTPS4876) training. Other discount codes may also be available but only one discount code or special offer can be used for each booking. This discount code is available for companies and individuals.
When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.
Great course yesterday and can’t give enough amazing feedback for John. I’ve never had a teacher hold attention of a class from start to finish, but yesterday he did this.
Vistra
Alan delivered the training in an easy to understand and pleasant manner which was broken down into manageable chunks with an appropriate number of breaks to give folk time away from their laptops and screens. It is never easy to do 2 days of training on a fairly in-depth subject involving Software even in a classroom environment and remaining focused and engaged so doing it remotely adds another level of complexity, but I have to say that personally this was one of the best Training Events that I have attended for some years. I have gained so much knowledge of MS Project and it will certainly make my job easier going forward.
A large part of what I gained has to be credited to Alan’s manner and delivery and I should be grateful if you could pass on my thanks to him.
Also, the support, together with joining instructions & training literature etc from Nexus Human has been excellent – thank you for that. I intend feeding that back to our People and ICT Teams too
December 2023
Kerry, Ireland
ITC Group
Dublin
Nexus Human Classroom Student
Excellent interaction and answered all of my questions. Looking forward to being able to apply some of the tips and features learned today which hopefully should have real impact on some of the more time consuming tasks currently encountered.
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