Description
This 1-day course focuses on creating reproducible data analyses using Python and Jupyter. This course does not cover the basics of Python and is recommended for students that have a background in Python.
***This course is great for Python programmers who are stepping out into the popular world of data science.***
Prerequisites
It is recommended that a student that interested in this course have
Previous knowledge of programming fundamentals.
Some experience with Python (Python libraries, pandas, matpolotlib, and scikit-learn
What’s included?
- Authorized Courseware
- Intensive Hands on Skills Development with an Experienced Subject Matter Expert
- Hands-on practice on real Servers and extended lab support 1.800.482.3172
- Examination Vouchers & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps)
- Academy Code of Honor: Test Pass Guarantee
- Optional: Package for Hotel Accommodations, Lunch and Transportation
With several convenient training delivery methods offered, The Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Academy for an engaging and effective learning experience.
Methods
- Instructor Led (the best training format we offer)
- Live Online Classroom – Online Instructor Led
- Self-Paced Video
Speak to an Admissions Representative for complete details
| Start | Finish | Public Price | Public Enroll | Private Price | Private Enroll |
|---|---|---|---|---|---|
| 9/23/2024 | 9/23/2024 | ||||
| 10/14/2024 | 10/14/2024 | ||||
| 11/4/2024 | 11/4/2024 | ||||
| 11/25/2024 | 11/25/2024 | ||||
| 12/16/2024 | 12/16/2024 | ||||
| 1/6/2025 | 1/6/2025 | ||||
| 1/27/2025 | 1/27/2025 | ||||
| 2/17/2025 | 2/17/2025 | ||||
| 3/10/2025 | 3/10/2025 | ||||
| 3/31/2025 | 3/31/2025 | ||||
| 4/21/2025 | 4/21/2025 | ||||
| 5/12/2025 | 5/12/2025 | ||||
| 6/2/2025 | 6/2/2025 | ||||
| 6/23/2025 | 6/23/2025 | ||||
| 7/14/2025 | 7/14/2025 | ||||
| 8/4/2025 | 8/4/2025 | ||||
| 8/25/2025 | 8/25/2025 | ||||
| 9/15/2025 | 9/15/2025 | ||||
| 10/6/2025 | 10/6/2025 | ||||
| 10/27/2025 | 10/27/2025 | ||||
| 11/17/2025 | 11/17/2025 | ||||
| 12/8/2025 | 12/8/2025 | ||||
| 12/29/2025 | 12/29/2025 | ||||
| 1/19/2026 | 1/19/2026 |
Curriculum
Module 1: Jupyter Fundamentals
Basic Functionality and Features
Our First Analysis – The Boston Housing Dataset
Module 2: Data Cleaning and Advanced Machine Learning
Preparing to Train a Predictive Model
Training Classification Models
Module 3: Web Scraping and Interactive Visualizations
Scraping Web Page Data
Interactive Visualizations
