Your company wishes to gain insights from the data it has collected over the years. Yet you face endless options of tools and approaches for doing so. There are user friendly UI tools such PowerBi, backend command line tools like SQL, and versatile "data wrangling" programming languages like Python and R.
This course elects the most powerful and flexible tool for the job: Python.
Python is a readable programming language with a relatively low learning curve. It offers something that most other solutions cannot: flexibility and adaptability. After the initial investment in learning Python, you can use it to manipulate and visualize your data in ways that would be difficult and time-consuming in other tools.
This instructor-led, live training (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc..
The training is designed to enhance learning, retention, and hands-on practice. By combining different learning approaches such as online learning, live classroom interaction, peer learning and pair programming, this training aims to maximize the effect of each lesson. It reinforces learned concepts through a mix of pre-learning, interactive learning, and post-learning, all while including a social element that makes the course fun and engaging. The training is divided into three parts:
This training is different from pure online learning in that it emphasizes live interaction with the trainer. It is also different from a traditional classroom in that it includes offline learning and self-paced practice.
A unique aspect of NobleProg trainings is its "pair programming" approach to learning. Pair programming allows two or more person's to collaboratively solve challenging and thought-provoking problems on the same machine. This approach has proven to be a powerful and efficient way to teach and learn. NobleProg makes this possible through its learning platform, DaDesktop. DaDesktop provides a collaborative space for participants and instructors to share and interact with each others' machines in real-time. Video conferencing and the ability to record lessons are just some of the features included in DaDesktop as part of this training.
By the end of this training, participants will be able to:
Format of the Course
Course Customization Options
Pythong Programming for Data Analysis
Working with Data
The Python Data Frame
Gaining Insights from Data
Saving Your Python Code
Improving Your Code
Taking Your Code to Production
Python Programming Best Practices
Summary and Conclusion
I preferred the exercise and learning about the nooks and crannies of Python.
Joey has an infectious enthusiasm about programming. And he was very good at adapting to our needs and interests on the fly.
Many examples made me easy to understand.
Fact that customization was taken seriously.
I did like the exercises.
I liked the helpful and very kind.
We did practical exercises (the scripts we wrote can be used in our everyday work). It made the course very interesting. I also liked the way the trainer shared his knowledge. He did it in a very accessible way.
* Enjoyable exercises. * Quickly moved into more advanced topics. * Trainer was friendly and easy to get on with. * Customized course for needs of team.
I enjoyed the felixibility to add specific topics into the course / lessons.
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
The case studies helped us understand how we can apply Python in the industry. Really appreciated the trainer's help during the exercises.
As we are PHP developers, he understood the situation and allowed us to slowly map things between. I liked the examples and the humor he added.
I genuinely enjoyed the lots of labs and practices.
The exercises/labs were tailored to our own organizational needs.
I generally liked the subject matter.
The trainer was sharing real word experiences, it's nice to learn from real professional.
The trainer was excellent, He was always ready to answer my questions and share as much knowledge as he could.
1:1 very intensive but learnt a lot.
I mostly enjoyed the subject.
The way the exercises were organized : all on own tempo and Antonio there to help you further.
I liked the sufficient and very detailed reading materials and examples (slides).
I genuinely liked the na.
What I like the most about the training is that everything in the course outline is something that will be useful for our projects.
The overview/the recommendations
The informal exchanges we had during the lectures really helped me deepen my understanding of the subject
Recap of previous day, trainer very knowledgable in answering questions
It gave me a broad overview of the possibilites
really kind, good approach to trainees, helpful
I like pace of the training. It was good and we were able to cover many aspects of programming language. Trainer was able to show many applications of Python in very informative way. Trainer sent to us many scripts and micro-programs for furher reference which is very useful. I like, that we started training with some technical remarks and setting up virtual environment.
I thought John was very knowledgeable and able to diseminate information in a very understandable way.
John was a very friendly and knowledgeable trainer and was keen to adapt the course to our requests.
Gaining a better understanding of object oriented programming as this is a key difference to programming in Matlab (which I am much more familiar with). The training should hopefully be very useful!
knew his subject well
The exercises combined with the experienced help of the trainer
The fact that we could practice a lot. Even though for me being a newbe the pace was to fast and explanation too few. However, probably due to the mixed knowkedge level of the students attending the class.
Trainer obviously had a great holistic understanding of programming.
the last day. generation part
The topics referring to NLG. The team was able to learn something new in the end with topics that were interesting but it was only in the last day. There were also more hands on activities than slides which was good.
I enjoyed the sentinal analysis/ data science aspect of the course.
pace and explanations
The trainer was great! If he would have more time I think we could have learned a lot more.
It makes the trick. A good introduction (and more) to python.
* Organization * Trainer's expertise with the subject
Teaching style and ability of the trainer to overcome unforeseen obstacles and adopt to circumstances. Broad knowledge and experience of the trainer
Overall good intro to Python. The format of using Jupyter notebook and live examples on the projector was good for following along with the exercises.
Very good approach to memorize/repeat the key topics. Very nice “warm-up” exercises.
I like that it focuses more on the how-to of the different text summarization methods
Total Courses 11
Total Courses 5