Through our hands-on Python courses, participants will gain the skills needed to develop Python programs to solve typical Finance problems, cutting through the noise of generic “Data Science” courses. Participants will be introduced to best-practices programming in Python to clean, analyze, and visualize financial data.
Looking to supercharge your data analytics skills? With a focus on hands-on learning, you’ll learn to use Python to build and analyze financial models, visualize data, and gain practical experience applying these skills to real-world financial scenarios. Not only will you learn essential Python skills, but you’ll also gain practical experience applying Python to real-world financial scenarios. Whether you’re a seasoned financial analyst or just starting your finance career, our course will help you take your skills to the next level. Our Python training is offered in three parts – detailed course syllabus below. Invest in your future and enroll in Training The Street’s Python Training courses today! What you will learn: Read, Run and Write Code in Python Data Structures and Control Flows Python Functions and Packages Data Collection, Cleaning, Manipulation Data Visualization Data Analysis and Modeling Acquiring Data from Websites (aka Web Scraping) Dashboarding Automation and Best Practices Agendas During this hands-on course, participants will gain the skills needed to develop Python programs to solve typical Finance problems, cutting through the noise of generic “Data Science” courses. Participants will be introduced to best-practices programming in Python to clean, analyze, and visualize financial data. Using Python: Data Collection, Cleaning, Manipulation, and Visualization: This hands-on course is intended for anyone who uses Python and who is already comfortable with the skills that were taught in “Python 1: Core Data Analysis”. This course continues to build the skills needed to develop Python programs to solve typical Finance problems, cutting through the noise of generic “Data Science” courses. Participants will be introduced to best-practices programming in Python to analyze and visualize Financial Data. Data Visualization in Python: Data Analysis and Modeling: During this hands-on course, participants will work with Python and several popular packages to create programs that acquire, consolidate, analyze and present large data sets. Whether originated from websites or internal databases, this course will demonstrate core techniques to efficiently manage and explore business data through interactive dashboards. Acquiring Data from Websites (“Web Scraping”): Automation, Visualization and Dashboarding: Unlock your career potential Training The Street has been teaching the biggest finance firms for over 20 years. To help unlock your career potential, we offer certificates to provide the recognition you deserve. After you finish your course, you will receive a certificate which can be easily added to your LinkedIn profile. How Do You Like To Learn? Flexible Learning Options What Does A Day Look Like? Whether you join us in-person or virtually, the classroom is a combination of micro-lectures and hands-on exercises that ensure retention levels are high and students stay engaged. You’ll use some of the most innovative Python Excel based learning tools available, providing instant performance feedback as well as the opportunity for as many “reps” as you need to be “desk ready”. Course Details What’s Included Prerequisites Python 2: Participants require basic prior programming knowledge in Python and an understanding of the pandas package. Participants should also understand Finance and statistical concepts, but in-depth analytical understanding is not necessary. It is recommended that participants take “Python 1: Core Data Analysis” before this course. Python 3: A general understanding of programming principles and Python is recommended for this course. The course material will build on the content of “Python 1: Core Data Analysis”. Although not required, participants will benefit from having taken “Python 2: Visualization and Analysis”. Participants should be familiar with Python packages and their installation. Participants are expected to download & install Anaconda or an equivalent Python distribution in advance of the course. Who Is This Course For? – Group rates available Standard registration inside 30 days: Cancellation Policy Questions? Please contact info@trainingthestreet.com for more information. Can't Attend A Live Course?
Python 1 – Core Data Analysis
Python 2 – Visualization and Analysis
Python 3 – Web Scraping and Dashboarding
Our courses are available in both in-person or virtual classroom formats. If you learn better in your own space or traveling isn’t convenient, virtual is great solution. Either way, you get the skills and support you need to succeed.
Instructor-led classroom training
Ongoing instructor support
Access to course materials, including data sets in CSV and Excel files, presentations, assignment files and all relevant coding files
Coding solution files for all assignments
Schedule
9:00 am to 5:00 pm each day with an hour lunch around noon and shorter breaks throughout the day.
Python 1: A general understanding of programming principles is recommended but not required. Participants should also understand finance concepts but in-depth analytical understanding is not necessary. Participants are expected to download & install Anaconda or an equivalent Python distribution in advance of the course.
– Discounts offered to existing clients
$1,250 per day
Cancellations up to 14 days before the workshop will receive a full refund. Cancellations within 14 days of a course will not be refunded. TTS reserves the right, at its sole discretion, to cancel a course. If TTS cancels a course, payments are refunded in full.
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