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Python for Data and Finance

Practical Programming

4.5 330 reviews

Beginner
18 and older
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185 Madison Ave, New York, NY
20 hours over 4 sessions

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Start Dates (0) $1,250/person

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Description

Python for Data and Finance is a comprehensive course with an emphasis on the practical application of Python to data analysis. Initially developed for Wall Street professionals, this course quickly became popular among people who crunch numbers, analyze big data and simply want to switch from spreadsheets to the faster and more efficient Python programming language.

Starting from scratch we will build a foundational understanding of the Python programming language. Afterwards we will gain understanding of NumPy and Pandas, Python libraries heavily used in data analysis and finance. Finally, we will cover Matplotlib, an essential tool for data visualization.

WHO SHOULD ATTEND:

The main goal of the Python for Data and Finance course is to acquire a modern tool for data analysis and shift from spreadsheets to Python. We spend a great deal of time on gathering data from different sources like Excel, the Web and APIs and manipulating information to solve real-life challenges. During this course we use practical examples, so you can apply Python to daily tasks at work. We are proud to say that many financial giants have used Python for Data and Finance to give their workforce a competitive edge.

What to expect from this program:

Fundamental introduction to Data Science using Python programming language, practical application of different statistical, analytical and linear algebra models to a variety of data science projects, and feeling comfortable enough to apply acquired knowledge on your own seeking a junior data scientist position.

You will learn:

Discover best practices for data analysis and start on the path to becoming a data scientist
Learn and practice essential tools for data analytics: NumPy, Pandas and Matplotlib
Learn to find solutions to problems by analyzing data using appropriate tools
Master your analytical skills by working on real life projects
Implement the core Data Science techniques of Linear Algebra, Probability, Gradient Descent, and Linear Regression
By the end of this course, you will have a Data Analytics Project to present to potential employers

Preparation: Laptop

Python for Data Science Syllabus:

Session 1

Variables
Data types: strings, integers, floats, lists
Mutability
Control Flow statements
If statements
For loopsPractical
Exercises

Session 2

Functions
Data types: tuples, dictionaries, sets
While loops
Indexing and slicing
Reading from CSV and TXT Files
Writing to CSV and TXT Files
Analyzing a File’s content
Practical Exercises

Session 3

Scientific computing with Python
NumPy Arrays
Creating and manipulating NumPy Arrays
Computation on NumPy Arrays
Broadcasting and UFuncs
Sorting and Indexing NumPy Arrays
Practical Exercises

Session 4

Python Data Analysis Library - Pandas
Pandas Data structures
Aggregating data in Pandas
Data Indexing and Selection
Logic, Control Flow and Filtering in Pandas
Aggregation and Grouping
High-Performance Pandas
Visualization with Matplotlib
Line Plots, Scatter Plots and Histograms
Customizing Plots
Final Project

Refund Policy

To reschedule or cancel, email us at [email protected]

All courses include a non-refundable registration fee (10% of the undiscounted course price).

Students may cancel up to 11 business days before the class/program start date and receive a refund, less the registration fee.
Cancellations within 11 business days are not permitted; however, students may reschedule up to 4 business days before the class start date.

Note: Any refunds must be requested within 180 days from the original payment date; courses rescheduled within 11 business days of the start date are not eligible for refunds.

Reviews of Classes at Practical Programming (330)

(4.5-star rating across 330 reviews)

This class: 4.8 out of 5 from 25 reviews

Python for Data and Finance

Marcio H. • April 21, 2019
Python for Data and Finance

Karl T. • March 16, 2019
Python for Data and Finance

William H. • March 10, 2019

This class was great. The class sizes are small so Art can make sure everybody is on the same page. He even follows up after the class to see how our learning is going. The class is intense for sure and expect to have to work on this every night in between classes, but if you need some structure in your learning to get started in data science, this class is the perfect place!
Python for Data and Finance

Anonymous • December 9, 2018

Chalk full of information and very intense, it was a very knowledge-filled course. I would give it 4.5 out of 5 stars if I could, only because I think some of the teaching styles could be more digestible, with more intermittent exercises to make sure we're understanding and absorbing the lectures and maybe a little more structure. I will be going through the course material on my own again. Basically, each day could be a week's worth of information and it takes a lot of practice to actually know it all. I do think the course is valuable and worth the money, but you have to follow through with practicing on your own after each class and the entire session in order to get the full value.
Python for Data and Finance

Boris • October 28, 2018

This is quite an intensive course with a good value for money. The course is providing a strong foundation for those who would like to learn and develop their Python skills further. The lecturer is very student friendly and patient and is willing to help both during and after the completion of the course. I would recommend this course for anyone who is new to the language and is willing to cope with a fast pace of the program.
Python for Data and Finance

Anonymous • October 12, 2018

The course was very interesting and also challenging for me as I am not a developer and just use some basic SQLrequest. I have learnt new thing and more effiscient way to manage data. it's gave me new inspiration for my job. Thanks to Art.
Python for Data and Finance

Robert Peng • October 12, 2018

It's intensive. But I love it. I learned a lot.
Python for Data and Finance

Cung Thang • October 12, 2018

I learned more than I expected in this Python Data Science" class. Although I do not have much background except from some SQL query in GIS environment, now I am confident to explore more into the scripting and customization of applications more than what I used to be. Cung Thang
Python for Data and Finance

Ambooj Tiwari • October 12, 2018

Art is great. If you need special attention in a class room he will take time out and help debug your program with you. This is my second course from them and if you need an introduction or a refresher this is great since it gives you significant exposure and interface within a very short time . Would be back for ML
Python for Data and Finance

Anonymous • August 18, 2018

Art Yudin is an excellent instructor and teaches a very well organized course in a very approachable, friendly manner. Further, he is very enthusiastic and goes above and beyond in helping his students. He kindly helped me troubleshoot various aspects of a dataset I have been working on for my own work, for which I am incredibly grateful. I would gladly take more Python course with him.
Python for Data and Finance

Jackson W. • August 5, 2018
Python for Data and Finance

James C. • August 5, 2018

I didn't expect to learn much in a 4 session Python course, but Art's teaching style was very fitting for the subject. As the Chinese proverb states: Tell me, I’ll forget. Show me, I’ll remember. Involve me, I’ll understand.
Python for Data and Finance

Anonymous • August 4, 2018

Great content, pace, rigor, and definitely hands-on instructor. I would recommend the course and instructor 100%. Kudos!!
Python for Data and Finance

Christopher F. • June 30, 2018
Python for Data and Finance

Anonymous • June 24, 2018
Python for Data and Finance

Martin T. • May 27, 2018
Python for Data and Finance

Anonymous • April 11, 2018

Excellent and enjoyable class! Art has a systematic method of teaching that allows for relevant tangents based on the interests of the class. We even spent an entire class on a project I had for work and from which the other students benefitted also. Art is great at focusing on the proper way to think (data types and data structures!) and the logic behind the code, as well as explaining all the concepts and syntax in a methodical fashion that builds well upon previous material. He is also 100% accessible outside of classroom hours for help/questions etc. I am continuing with many other Practical Programming classes. Highly recommend!
Python for Data and Finance

Anastassiya Shapovalova • March 8, 2018

If you are thinking about a career in analytics and data science or just fascinated by the endless possibilities of coding, Python for Data Science course from Practical Programming is a must. Art is an expert in Python programming. He always makes sure students clearly understand the topic and actively participate in discussions. He makes classes very interesting and always provides real world examples that make such a huge difference. I especially liked various projects we were working on during the classes. Projects helped me to solidify my newly acquired skills and apply those skills on real life meaningful projects. Data science is a fascinating field and recent report from glassdoor.com states that data scientist is the hottest job on a market for the third consecutive year with a very high demand, competitive salary, as well as high job satisfaction. I am planning to take more courses from practical programming and recommended the data science course I took to all my friends who are interested in data science and coding.
Python for Data and Finance

David L. • February 17, 2018

Good course. Would have been nice to have a bit more time to absorb all the material and have some more examples.
Python for Data and Finance

Anonymous • February 12, 2018

I started off the year with a great decision by taking Python for Data Science. Art (our instructor) is well versed in Python and Data Science. My background is in PHP and I've recently been (self) learning Python, with an interest to go into data science and machine learning (curious on learning both to see which I'd want to go deeper on in my career), so I started with Data Science. Art first taught us some essential concepts and practice in Python, including best practices, and then dove into NumPy / Pandas / Mataplotlib in the later weeks. I am very happy with the structure because I too needed to fill in gaps in my Python learning and then apply this practice to data science/analysis. After just completing the 6 sessions, with weekly practice exercises given to us by Art, I feel well equipped to now go deeper and I am more interested than ever in Python for Data Science! More practice and learning is definitely needed to really get the hang of these concepts, just like learning a new language, and Art is kind enough to extend his support to each of us for any questions we may have in the future. Lastly, I could have learnt this online I'm sure, but personally I value the weekly accountability of getting things done (such as the weekly practice exercises, in this case by every Saturday). Thank you Art and team!

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Practical Programming

Practical Programming offers programming classes and workshops for individuals of all skill levels who are interested in learning Python coding. It is suitable for beginners and those looking to start a career in programming or build dynamic web applications using Python.

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