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Python for Data and Finance

at Practical Programming - Midtown

(378)
Course Details
Price:
$1,500
Start Date:

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Location:
Midtown, Manhattan
185 Madison Ave 3rd Fl
34th & Madison
New York, New York 10016
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Description
Class Level: Beginner
Age Requirements: 18 and older
Average Class Size: 3
Teacher: Art Yudin

Flexible Reschedule Policy: This provider has flexible, free rescheduling for any-in person workshop. Please see the cancellation policy for more details

What you'll learn in this data science course:

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

Still have questions? Ask the community.

Refund Policy
If you withdraw two days before the course start date, any deposit paid will be refunded in full. 

No refunds will be given for cancellations made after that date. If you cannot attend our class or workshop, for which you were charged, you will receive 25% discount for any other course.

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Questions & Answers (10)

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Question from Frank
My daughter is under 17 years, very good at math and stat, can she handle this course?
Answer from Brenda L. CourseHorse StaffCourseHorse Staff
Hi Frank! Yes, she could take Data Science Immersive (35hrs) or Python for Data Science (20hrs). Thank you.
Answer
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Question from Anonymous
Hello! What are the prerequisites for this class? Do I need any background knowledge of statistics and math? I currently have no knowledge of python and statistics. I plan on taking the python101 class but I am not sure where I would stand with no statistic knowledge. Would I lose in the class without any prior knowledge?
Answer from Brenda L. CourseHorse StaffCourseHorse Staff
Hi there! This class is for beginners but it would be a good idea to start with Python 101 https://coursehorse.com/nyc/classes/tech/programming-coding/programming-languages/python/python-programming-1012 or Introduction to Python https://coursehorse.com/nyc/classes/tech/programming-coding/programming-languages/python/introduction-to-python-programming4. Hope this helps!
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Question from Anonymous
Hello, if i am f1 student, it is possible for me to study here?
Answer from Brenda L. CourseHorse StaffCourseHorse Staff
Hi, there! Yes, you can attend the class. Hope this helps!
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Question from Libby S.
I have no background in Python and have just discovered it. Is this okay for an absolute beginner? What courses should one take before this class?
Answer from Georgia C. CourseHorse StaffCourseHorse Staff
Hi there! Yes, this class is for beginners but it would be a good idea to start with Python 101 https://coursehorse.com/nyc/classes/tech/programming-coding/programming-languages/python/python-programming-1012 or Introduction to Python https://coursehorse.com/nyc/classes/tech/programming-coding/programming-languages/python/introduction-to-python-programming4
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Question from anonymous
Will this course be suitable for me even though I have only take a 5-hour intro class so far?
Answer from Brenda L. CourseHorse StaffCourseHorse Staff
Hello, there! Thanks for your inquiry! Yes, this course is fine for beginners.
Answer
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Question from anonymous
Hi Art - do you plan to offer this course in the second half of January 2019?
Answer from Art Y. Verified Educator
We are planning to keep our schedule in 2019, not sure about pricing
Answer
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Question from Anonymous
Hi! I'm interested in Python classes. Will you give a certificate at the end of the course?
Answer from Darwin V. CourseHorse StaffCourseHorse Staff
Yes, a certificate is issued upon completion of the course.
Answer
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Question from Anonymous
What's the difference between the 4 day classes and the 3 day classes?
Answer from Brenda L. CourseHorse StaffCourseHorse Staff
Hi there! No difference, same number of hours, just because of the holiday Practical Programming decided to do it in 3 days.
Answer
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Question from anonymous
What Python version is this class?
Answer from anonymous
Hi there! We use Anaconda and Python 3.
Answer from Georgia C. CourseHorse StaffCourseHorse Staff
Hi there, for this class they use Anaconda and Python 3. Hope this helps!
Show all 2 answers
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Question from Anonymous
Does it help to be proficient in Statistics to do well in the class?
Answer from Brenda L. CourseHorse StaffCourseHorse Staff
HI there! Absolutely, this class covers statistics and linear algebra. Hope this helps!
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Reviews of Classes at Practical Programming (378)

(378 Reviews)
Python for Data and Finance
Reviewed by William H. on 3/10/2019
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
Reviewed by Anonymous on 12/9/2018
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
Reviewed by Boris on 10/28/2018
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
Reviewed by Anonymous on 10/12/2018
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
Reviewed by Robert Peng on 10/12/2018
It's intensive. But I love it. I learned a lot.
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Practical Programming

Practical programming classes and workshops for everyone who wants to learn how to code from scratch or practice Python. You will learn how to start using Python, problem solving with algorithms and make dynamic web applications.

No coding experience needed, anyone who would like to learn how to code...

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