Pricing is per delegate, giving you huge savings over the cost of individual courses.
4.6 out of 5 rating Last updated 14/11/2024 English
5 Days
30 CPD hours
This course combines engaging instructor-led presentations and useful demonstrations with valuable hands-on labs and engaging group activities. Throughout the course you'll explore:- Master Numerical Operations with NumPy: Gain proficiency in handling large numerical data sets, performing array operations, and using vectorized computation for increased efficiency.- Advanced Data Manipulation with Pandas: Acquire the ability to clean, filter, and manipulate complex data sets using Pandas, allowing for more insightful data analysis.- Implementing Scientific Computing with SciPy: Learn to apply complex mathematical functions and algorithms in Python- Data Merging and Concatenation Techniques: Understand and implement advanced techniques to merge, join, and concatenate data sets effectively, enabling better data integrity and usefulness.- Utilizing Pillow for Image Processing: Become proficient in basic image processing tasks like loading, transforming, and saving images using the Pillow library, thus widening the range of data types you can manipulate.- Applying Machine Learning Models with scikit-learn: Understand the fundamentals of machine learning algorithms and how to implement them using scikit-learn for tasks such as classification, regression, and clustering.- Developing Problem-Solving Skills for Real-world Applications: Cultivate the ability to apply the acquired technical skills to solve real-world problems, enhancing your capacity to contribute effectively to data-driven projects in a professional setting.
Geared for experienced Python users with basic data science skills, Next Level Python for Data Science is a comprehensive hands-on course that deep dives the advanced skills and tools used to perform exploratory data analysis, create complex visualizations, and perform large-scale distributed processing on Big Data.Throughout the course, guided by our expert instructor, you'll learn, gain the advanced skills required to leverage Python to effectively solve real-world problems and contribute to data-driven projects in a professional setting. Working in a workshop style, hands-on environment, you'll hone your skills in numerical operations using NumPy and delve into advanced data manipulation techniques with Pandas. From applying complex mathematical functions in SciPy to mastering data visualization through Matplotlib, this program equips you for a broad spectrum of data science tasks. You'll also get practical experience in merging, joining, and concatenating data sets, while gaining an understanding of machine learning fundamentals via scikitlearn. These technical abilities are framed within a problem-solving context, empowering you to contribute effectively to datadriven initiatives in your professional role.With these advanced Python and data science skills, you'll be equipped to lead complex data analysis projects that transform raw data into actionable insights for strategic decision-making. You'll also have the capability to design and implement machine learning models, allowing your organization to harness the power of predictive analytics for enhanced operational efficiency and competitive advantage. You'll exit this course with advanced skills tailored specifically for applications in data science, able to handle complex data sets, understand machine learning algorithms, and translate data into actionable insights.
This course is geared for experienced data analysts, developers, engineers or anyone tasked with utilizing Python for dataanalytics or eventual machine learning tasks. Attending students are required to have a background in basic Python for datascience.
Nexus Humans Intermediate Python for Data Science | 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 ITS Data Analytics 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 | 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.
The Intermediate Python for Data Science | Explore NumPy, Pandas, SciKit Learn, SciPy, TensorFlow & More (TTPS4876) prepares you for the Yes official exam. You can take this exam at any exam center across UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online where ever you are. Exams vary in duration and if required you can request with the provider for any accommodations appropriate for you.
This intermediate-level course is for skilled Data Scientists, Software Engineers, and DataEngineers already experienced with basic Python and data science
Yes we provide corporate training, dedicated training and closed classes for the Intermediate Python for Data Science | Explore NumPy, Pandas, SciKit Learn, SciPy, TensorFlow & More (TTPS4876). This can take place anywhere in UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online allowing you to have your teams from across UK or further afield to attend a single training event saving travel and delivery expenses.
The Intermediate Python for Data Science | 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.
Popular related searched include Python; Data Science; Data Anlaysis; Machine Learning.
Yes, the discount code PENPAL5 is currently available for the Intermediate Python for Data Science | 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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