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Python for Finance Immersive

at Practical Programming - Midtown

Course Details
$1,295 30 seats left
Start Date:

Mon, Oct 31, 6:00pm - Nov 16, 9:00pm Eastern Time (6 sessions)

Next start dates (1)

Midtown, Manhattan
185 Madison Ave 3rd Fl
34th & Madison
New York, New York 10016
Purchase Options
Class Level: Beginner
Age Requirements: 18 and older
Average Class Size: 4

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 python class:

As data continues to grow larger and more important, Excel and spreadsheets are becoming a slower and outdated solution to analyze large amounts of data. This is the main reason that most financial services companies have implemented Python when working with datasets.

In this comprehensive course, students will be taught Python with an emphasis on data extraction, analysis, and visualization. More specifically students will learn a foundational understanding of the Python programming language.

After students master the intricacies of the Python language, the class will move onto using Python for data science. This includes a deep understanding of Python libraries of NumPy, Pandas, Matplotlib. Additionally, students will learn how to pull data from different sources such as Excel, website, and APIs. At the end of the course, students will feel comfortable trading in Excel spreadsheets for Jupyter notebook. Students will leave this course having worked on multiple projects using Python to pull, clean, analyze, and visualize financial data from all different sources.

This course is designed to give beginners the practical skills they need to start using data science with Python for financial analysis. Examples and exercises will emphasize how these techniques can be applied to real-world situations and use cases. Previous math or coding experience is not required.

What You'll Learn

  • Foundational programming concepts including loops, functions, and objects
  • Handle different types of data, such as integers, floats, and strings
  • Control the flow of your programs with conditional statements
  • Reuse and simplify code with object-oriented programming
  • Analyze tabular data with Numpy and Pandas
  • Create graphs and visualizations with Matplotlib
  • Make predictions with linear regression, using scikit-learn

Course Syllablus

  • Introduction to Python
  • Advanced Python
  • Numerical Python & Pandas
  • Data Manipulation
  • Data Extraction & Analysis

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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.


Practical Programming

All classes at this location

Start Dates (2)
Start Date Time Teacher # Sessions Price
6:00pm - 9:00pm Eastern Time TBD 6 $1,295
This course consists of multiple sessions, view schedule for sessions.
Wed, Nov 02 6:00pm - 9:00pm Eastern Time TBD
Mon, Nov 07 6:00pm - 9:00pm Eastern Time TBD
Wed, Nov 09 6:00pm - 9:00pm Eastern Time TBD
Mon, Nov 14 6:00pm - 9:00pm Eastern Time TBD
Wed, Nov 16 6:00pm - 9:00pm Eastern Time TBD
10:00am - 5:00pm Eastern Time TBD 3 $1,295
This course consists of multiple sessions, view schedule for sessions.
Tue, Nov 29 10:00am - 5:00pm Eastern Time TBD
Wed, Nov 30 10:00am - 5:00pm Eastern Time TBD

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

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