ADVANCED DATA ANALYTICS AND DATA ENGINEERING WITH PYTHON

DPX404
$1,800.00
 
Available
+
For online classes, you will receive a zoom log in at the email used to register about 3 days prior to the start date.

ADVANCED DATA ANALYTICS AND DATA ENGINEERING WITH PYTHON
DPX404-SP22
Tues, Thurs, 6:00 - 9:30 pm 6/28/2022- 9/27/2022
84 hours, $1800
Location: Online Via Zoom  Click here information 

All course materials will be available in Canvas Instructure

Required Textbook: Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, ISBN-10: 1491957662
A two-part payment plan is available for this class.

Prerequisite: Either DPX403 Python Programming Fundamentals or experience with Object Oriented Python and Data Structures

Data Analytics and Data Engineering is at the forefront of today's economy. The course focuses on the collection, cleaning, analysis, and visualization of data for analytical and predictive decision making. Learn to gather and analyze complex dataset and translate data into ordered, predictive information. By the end of the course, participants will be able to perform all steps necessary for backend python engineering and statistical analysis.  They will then be able to present their data through a Rest API, including presentation and visualization of the data using Javascript, HTML, and Python frameworks.

Python data engineering skills are the most sought after in today’s employment environment.  Supercharge your Python programming skills to the next level with real world analytical and engineering skills that employers look for in top level candidates.  The course will include a capstone project that can be used to showcase your newly acquired skills on github. This course is taught by an instructor with real world experience in Python backend data engineering and predictive analytics who will train you in how to pass a data science interview.

TOPICS INCLUDE

Basic Statistics

Numpy

Pandas

Matplotlib

Rest APIs with Flask and Django

SQLite, MySql, MongoDB

HTML and JavaScript

Beginning Machine Learning

Interactive Visualizations for the Web

MEET THE INSTRUCTOR

Data Analytics professional Kelvin Sparks has provided solutions to a wide range of industries including, finance, retail, and banking over a 14-year career in New York City. He has extensive in the development life cycle of technology projects including systems analysis, design, development, integration, testing, and deployment. Kelvin comes to City Tech with a background in data analytics and software bootcamps. His ability to communicate, to guide students from entry level to accomplished professionals and his willingness to mentor newcomers to the field into first jobs has earned Kevin a stong following and enduring respect.