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Python for Finance Immersive

at Practical Programming

(378)
Course Details
Price:
$1,295
Start Date:

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Description
Class Level: Beginner
Age Requirements: 18 and older
Average Class Size: 4
System Requirements:

You will need a reliable Internet connection as well as a computer or device with which you can access your virtual class. We recommend you arrive to class 5-10 minutes early to ensure you're able to set up your device and connection.

Class Delivery:

This class will be held via Zoom unless otherwise specified

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As data continues to grow larger and more important, Excel and spreadsheets are becoming a slower and outdated solution to analyze large amounts of data.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





Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

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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.
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Reviews of Classes at Practical Programming (378)

School: Practical Programming

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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