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Course Description

In this course through guided lectures and labs, students will learn Python for data science and get hands-on experience tackling interesting data problems from start to finish.

This multi-course track will give you the tools you need to analyze data and make data driven business decisions leveraging python, data science and statistical analysis. You will learn Python as well as machine learning and neural networks. You’ll utilize tools used by real data scientists like Numpy and Pandas, practice predictive modeling and model selection, and learn how to tell a compelling story with data to drive decision making. Take this series to solidify your Python and data science skills before diving deeper into big data, AI, and deep learning.  Python for Data Science: An Applied Case Study Approach is the first course in the series.

This hands-on, case study based course is for those who want to acquire practical skills for solving real world data problems. In these classes gain practical experience and produce real-world projects in interactive labs. If you're in a data analyst, or data scientist role or are pursuing a career in data science, and want to expand your skills then this is the series for you.

PYT510 is the first course in the Applied Data Science, Machine Learning, and Artificial Intelligence Using Python Certificate. To complete the certificate students will also enroll in PYT520, & PYT530. Click on each course link for more details and to add to cart.

Course Outline

a.       Meeting 1: Introduction to Python

b.       Meeting 2: Python Functions

c.        Meeting 3: Python String

d.       Meeting 4: Python List

e.       Meeting 5: Python Set and Dictionary

f.         Meeting 6: Python Packages

Prerequisites

Prior programming or scripting experience recommended.

Duration

3 Days | 6 Nights
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Enroll Now - Select a section to enroll in
Section Title
Python for Data Science: An Applied Case Study Approach
Type
Instructor-Led
Days
T, Th
Time (Central Time)
5:30PM to 8:30PM
Dates
Oct 17, 2023 to Nov 02, 2023
Schedule and Location
# of Course Hours
18.0
Delivery Option
Course Fee(s)
Rate non-credit $1,995.00
Potential Discount(s)
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*Academic Unit eligibility to be determined by college/university in which you are enrolled in a degree seeking program.